{"meta":{"query_hash":"333b6f2148de","filters":{"venue":"ACM Transactions on Graphics"},"cohort_total":652,"direct_labels_cover":0,"predictions_cover":652,"exported":652,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/333b6f2148de","api":"https://metacan.xera.ac/api/v1/cohort?venue=ACM+Transactions+on+Graphics"},"results":[{"id":"W1432573875","doi":"10.1145/2732407","title":"Learning to Remove Soft Shadows","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Artificial intelligence; Computer vision; Shadow (psychology); Set (abstract data type); Image (mathematics); Shadow mapping; Computer graphics (images)","score_opus":0.036444473808853226,"score_gpt":0.2966938560824108,"score_spread":0.26024938227355754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1432573875","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1562341,0.00032264134,0.83453333,0.00016524876,0.00008635882,0.000075991484,0.00009277221,0.004991159,0.0034984383],"genre_scores_gemma":[0.6650979,0.00025676502,0.32656547,0.00023677322,0.000083560335,0.000074012634,0.0003268262,0.00072648306,0.0066322642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945754,0.000090883404,0.000020003028,0.00021399185,0.00016733579,0.000050313272],"domain_scores_gemma":[0.9984754,0.0006008319,0.00015672487,0.00041451454,0.0002721703,0.00008028791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047624955,0.0008807103,0.00063672743,0.0004017433,0.00024960705,0.0007895774,0.0009660734,0.00061469135,0.0028620278],"category_scores_gemma":[0.0035928017,0.00038646033,0.00060415606,0.00019529948,0.0005777601,0.001126584,0.000822542,0.000977641,0.0011374765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033242244,0.00017817836,0.0020310318,0.0002568143,0.00009520606,0.00024260927,0.00047902687,0.07052211,0.16000071,0.0025361157,0.0043585207,0.7589673],"study_design_scores_gemma":[0.000024264837,0.00018641306,0.002137329,0.000018300992,0.000039251743,0.00030710644,0.00013660542,0.9285154,0.06119931,0.0031275318,0.004284353,0.000024181698],"about_ca_topic_score_codex":0.0014534952,"about_ca_topic_score_gemma":0.0027902725,"teacher_disagreement_score":0.0028620278,"about_ca_system_score_codex":0.00032176153,"about_ca_system_score_gemma":0.00033246542,"threshold_uncertainty_score":0.009574473},"labels":[],"label_agreement":null},{"id":"W1894463949","doi":"10.1145/2701416","title":"Hyperspectral Modeling of Skin Appearance","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperspectral imaging; Rendering (computer graphics); Human skin; Wavelength; Ultraviolet; Computer science; Visible spectrum; Optics; Remote sensing; Artificial intelligence; Computer vision; Physics; Geology; Biology","score_opus":0.049150794897347104,"score_gpt":0.32724463773462437,"score_spread":0.2780938428372773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894463949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043472208,0.0002537603,0.94934165,0.00022200658,0.000040944018,0.000025543917,0.00014989832,0.00034755387,0.006146294],"genre_scores_gemma":[0.8671812,0.00089824654,0.122313425,0.00014582642,0.00006941717,0.00005951403,0.00025230402,0.0001954161,0.008884537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986064,0.000038388538,0.0000038088835,0.0000256299,0.00005701392,0.000014533454],"domain_scores_gemma":[0.99982613,0.000060348444,0.000023588613,0.00003125088,0.00004677517,0.000011956305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250365,0.00044579682,0.00024909235,0.0004006638,0.00013963674,0.0006708925,0.0004993503,0.00047902224,0.001510179],"category_scores_gemma":[0.00070551655,0.00024147236,0.0005129197,0.00028873413,0.00041103657,0.0008030996,0.00040895786,0.00055120344,0.0004222429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058058475,0.00005734312,0.0010359448,0.0000770974,0.000031971304,0.00016891315,0.00012288986,0.87748086,0.03952583,0.025578506,0.0015320891,0.0543305],"study_design_scores_gemma":[0.0000011227123,0.0000058671285,0.00025909994,0.0000025863062,0.0000026011649,0.00004932226,0.000008286202,0.99552333,0.0014632789,0.0021176941,0.00056226307,0.0000046516943],"about_ca_topic_score_codex":0.0016914682,"about_ca_topic_score_gemma":0.001701342,"teacher_disagreement_score":0.0016914682,"about_ca_system_score_codex":0.00031829558,"about_ca_system_score_gemma":0.00025209898,"threshold_uncertainty_score":0.00505203},"labels":[],"label_agreement":null},{"id":"W1964965610","doi":"10.1145/1778765.1781157","title":"Feature-based locomotion controllers","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":244,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Control theory (sociology); Computer science; Controller (irrigation); Swing; Process (computing); Feature (linguistics); Jump; Center of mass (relativistic); Control (management); Control engineering; Artificial intelligence; Engineering","score_opus":0.00989279958784015,"score_gpt":0.21445235325446899,"score_spread":0.20455955366662884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964965610","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011252279,0.00009902794,0.9803427,0.00004115732,0.000053379958,0.000048207115,0.000050833314,0.00108107,0.007031266],"genre_scores_gemma":[0.7001153,0.00022581164,0.28862748,0.000096795826,0.00006543003,0.0002738637,0.00020945858,0.00023695096,0.010148872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982435,0.000016408672,0.000011625054,0.000045520224,0.0000824194,0.000019619536],"domain_scores_gemma":[0.9998398,0.00003591087,0.000023652437,0.000026574136,0.000060121733,0.000013983994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932174,0.0005354285,0.00030479865,0.00031315096,0.00030681762,0.0006414937,0.0009205868,0.00037054712,0.002917908],"category_scores_gemma":[0.00049356924,0.00017252895,0.0002513176,0.00017787144,0.00036657802,0.00056243455,0.00064295507,0.0005658382,0.0006818072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024423626,0.00014129015,0.0007479654,0.00029122678,0.00005361982,0.0001702993,0.00020852059,0.43159303,0.1578856,0.087496884,0.0040523284,0.31711504],"study_design_scores_gemma":[0.00003813506,0.00016352277,0.00042174704,0.000018560302,0.000019921375,0.000075746655,0.00001477348,0.9583142,0.01267887,0.014166029,0.014068663,0.000019774267],"about_ca_topic_score_codex":0.00082525914,"about_ca_topic_score_gemma":0.0013718212,"teacher_disagreement_score":0.002917908,"about_ca_system_score_codex":0.00028309767,"about_ca_system_score_gemma":0.0002519178,"threshold_uncertainty_score":0.009761393},"labels":[],"label_agreement":null},{"id":"W1965902026","doi":"10.1145/2185520.2185541","title":"CrossShade","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Sketch; Rendering (computer graphics); Computer science; Function (biology); Computer graphics (images); Artificial intelligence; Algorithm","score_opus":0.03570029251531164,"score_gpt":0.30900549252032333,"score_spread":0.2733052000050117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965902026","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015289139,0.0005405559,0.92510253,0.00039050917,0.0004220454,0.00026425387,0.00082306284,0.012973089,0.044194836],"genre_scores_gemma":[0.18279375,0.00075987953,0.7810568,0.00027749815,0.0001104814,0.00033443296,0.0013993202,0.0051782555,0.02808957],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927384,0.00011953924,0.000035001816,0.00016097625,0.00033794483,0.00007267181],"domain_scores_gemma":[0.99756205,0.00081235124,0.00012908313,0.00080281775,0.00048062907,0.00021308755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091594923,0.0013912334,0.00056317,0.001825095,0.0006599683,0.003086179,0.0016614951,0.0010967478,0.0537907],"category_scores_gemma":[0.00720901,0.00072628364,0.000953897,0.00094840623,0.0007543191,0.0036606584,0.0041666655,0.0016491533,0.011357425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003605532,0.00015976338,0.0025628975,0.00093158055,0.000062504005,0.0008809389,0.0026435868,0.02175369,0.060677584,0.1535856,0.058505125,0.6978761],"study_design_scores_gemma":[0.000088961875,0.00023773333,0.0031531428,0.00037496237,0.00006553572,0.0022961104,0.00079540414,0.15577137,0.05865046,0.06826899,0.7101358,0.00016152342],"about_ca_topic_score_codex":0.0009998673,"about_ca_topic_score_gemma":0.0021279894,"teacher_disagreement_score":0.0537907,"about_ca_system_score_codex":0.00041595052,"about_ca_system_score_gemma":0.0007337717,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1966784014","doi":"10.1145/1778765.1778810","title":"Optimizing walking controllers for uncertain inputs and environments","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Monte Carlo method; Control theory (sociology); Torque; Robust control; Mathematical optimization; Control (management); Control system; Mathematics; Artificial intelligence; Engineering; Statistics","score_opus":0.01084217061787151,"score_gpt":0.21704716697795276,"score_spread":0.20620499636008124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966784014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015309297,0.00008219012,0.98356044,0.000050675713,0.000010156081,0.000016865033,0.00001827263,0.00019438143,0.0007576371],"genre_scores_gemma":[0.7139186,0.00019565105,0.28340334,0.00007606134,0.000034689638,0.0002056953,0.00012242165,0.00024623986,0.0017972735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995407,0.00009995195,0.000027636848,0.000111864894,0.00016539182,0.00005445229],"domain_scores_gemma":[0.9988927,0.0006469006,0.00016536929,0.0001031959,0.00015067314,0.000041231244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009915291,0.0011617861,0.00090460066,0.0006250047,0.0003613292,0.0007920156,0.0010064662,0.00092639105,0.0010904362],"category_scores_gemma":[0.0036040721,0.00062660314,0.0005631448,0.00044128112,0.00077942736,0.0010556504,0.0010480668,0.0007285456,0.00019796267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001207138,0.000011369749,0.0001366794,0.000017449805,0.000013191315,0.000016899809,0.000017631472,0.98329127,0.0012138908,0.0024804997,0.000115405885,0.012673684],"study_design_scores_gemma":[0.000003405189,0.000009503372,0.00003688707,0.0000019143288,0.0000023925136,0.0000037545847,0.0000021873748,0.9971734,0.00033270696,0.0023435117,0.000087934706,0.0000023527207],"about_ca_topic_score_codex":0.0026732322,"about_ca_topic_score_gemma":0.0026082748,"teacher_disagreement_score":0.0026732322,"about_ca_system_score_codex":0.0005904188,"about_ca_system_score_gemma":0.00069185067,"threshold_uncertainty_score":0.005315304},"labels":[],"label_agreement":null},{"id":"W1967720527","doi":"10.1145/2601097.2601164","title":"Computing layouts with deformable templates","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; National Science Foundation","keywords":"Template; Computer science; Domain (mathematical analysis); Set (abstract data type); Class (philosophy); Algorithm; Theoretical computer science; Computer graphics (images); Artificial intelligence; Mathematics; Programming language","score_opus":0.013849795698140899,"score_gpt":0.22835325814611457,"score_spread":0.21450346244797366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967720527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006581885,0.00008404813,0.99151623,0.0000487653,0.000031462372,0.000028123564,0.00012411007,0.0007662547,0.0008192023],"genre_scores_gemma":[0.14326395,0.00028650515,0.85090303,0.00009490624,0.000047792542,0.00013838809,0.00090962625,0.00072573335,0.003630041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924684,0.000107351036,0.000054844713,0.00025067356,0.0002742186,0.00006613055],"domain_scores_gemma":[0.9986884,0.0005521559,0.00014685337,0.0003796955,0.00013908163,0.000093826304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006406787,0.0011859349,0.0012975112,0.0014049975,0.00048036317,0.0018423295,0.0018626436,0.0019318867,0.0048058764],"category_scores_gemma":[0.0045372644,0.0013833487,0.0014688987,0.001401621,0.0011382614,0.002357096,0.0022871415,0.0016425906,0.0018605492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005381951,0.000025251124,0.00050829607,0.00011144931,0.00003568482,0.0001794769,0.00010651945,0.8886838,0.0064737513,0.022415688,0.0022667926,0.0791396],"study_design_scores_gemma":[0.000010032236,0.000016669452,0.00007175827,0.0000105819345,0.000005798742,0.000054744043,0.000027697593,0.97310233,0.0028069343,0.021462744,0.0024188275,0.000011865295],"about_ca_topic_score_codex":0.0023892587,"about_ca_topic_score_gemma":0.003773608,"teacher_disagreement_score":0.0048058764,"about_ca_system_score_codex":0.0008623037,"about_ca_system_score_gemma":0.0007550364,"threshold_uncertainty_score":0.01607722},"labels":[],"label_agreement":null},{"id":"W1967724669","doi":"10.1145/2816795.2818087","title":"Dapper","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; Israel Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; 3D printing; Decomposition; Volume (thermodynamics); Key (lock); Simulated annealing; Container (type theory); Object (grammar); Pruning; Algorithm; Focus (optics); Mathematical optimization; Mathematics; Mechanical engineering; Artificial intelligence; Engineering","score_opus":0.0425676426562453,"score_gpt":0.24013298035322755,"score_spread":0.19756533769698226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967724669","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045090364,0.0007008208,0.91673684,0.0006003314,0.00036791438,0.00020374374,0.0023229995,0.024334487,0.050223842],"genre_scores_gemma":[0.085454516,0.0013870358,0.8279425,0.0012249149,0.00017983279,0.00064978655,0.009121778,0.008724351,0.065315224],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988715,0.00016840505,0.000069265916,0.0002820402,0.00045072855,0.00015801431],"domain_scores_gemma":[0.99912745,0.00023319057,0.0000565692,0.00034810088,0.00015854817,0.00007617316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095474307,0.0015867068,0.0010737149,0.00081896305,0.00090081996,0.002976522,0.003488589,0.0019895402,0.06096582],"category_scores_gemma":[0.0028916358,0.00077375316,0.001563173,0.0011106102,0.0008271064,0.0029869415,0.0044237683,0.0022151268,0.031439893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044312683,0.00025745522,0.0016205475,0.001022123,0.00013431036,0.000511664,0.00021326006,0.10157268,0.014838545,0.15064035,0.25518838,0.47355756],"study_design_scores_gemma":[0.00010759427,0.00017701443,0.0004510468,0.000097964206,0.00004645608,0.0009402756,0.00011702684,0.37551534,0.01748551,0.1177259,0.48726398,0.00007182767],"about_ca_topic_score_codex":0.0009638729,"about_ca_topic_score_gemma":0.0019637893,"teacher_disagreement_score":0.06096582,"about_ca_system_score_codex":0.00075675984,"about_ca_system_score_gemma":0.0012708658,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1968403482","doi":"10.1145/1183287.1183297","title":"Periodic global parameterization","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":366,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quadrilateral; Mathematics; Piecewise; Curvature; Gravitational singularity; Principal curvature; Surface (topology); Piecewise linear function; Function (biology); Vector field; Mathematical analysis; Topology (electrical circuits); Geometry; Applied mathematics; Algorithm; Mean curvature","score_opus":0.01021269716033348,"score_gpt":0.2120387008801819,"score_spread":0.2018260037198484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968403482","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009083798,0.00009094929,0.9882024,0.000028637629,0.00002649432,0.000023846991,0.00006880773,0.00058794656,0.001887137],"genre_scores_gemma":[0.30411446,0.0003311695,0.68783003,0.00006441469,0.000066127075,0.0001729346,0.0006829658,0.0010448808,0.0056930077],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994025,0.000070581584,0.000026325006,0.00016775687,0.0002858442,0.000047051155],"domain_scores_gemma":[0.99949825,0.00007498534,0.000051904288,0.00022438791,0.000118928096,0.000031504336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040799528,0.0008079851,0.00095500326,0.0012687003,0.00044357055,0.0012797974,0.0011698161,0.00080866367,0.004308968],"category_scores_gemma":[0.0016633731,0.00050978514,0.00091309554,0.0009348704,0.0009244309,0.0014440652,0.0017270402,0.0011411172,0.0014030728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011152434,0.00004377476,0.0017143856,0.00020363842,0.00007405319,0.00017103276,0.00027595088,0.412856,0.048174106,0.1056645,0.004950798,0.42576027],"study_design_scores_gemma":[0.0000127832345,0.000086365,0.00051802746,0.000023679202,0.000022389533,0.00019131444,0.00005648479,0.9409139,0.013014724,0.028229533,0.016891638,0.000039100545],"about_ca_topic_score_codex":0.0009793936,"about_ca_topic_score_gemma":0.001103702,"teacher_disagreement_score":0.004308968,"about_ca_system_score_codex":0.00052055524,"about_ca_system_score_gemma":0.0007365868,"threshold_uncertainty_score":0.014414966},"labels":[],"label_agreement":null},{"id":"W1968571232","doi":"10.1145/1073204.1073242","title":"Evaluation of tone mapping operators using a High Dynamic Range display","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":289,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Tone mapping; High dynamic range; Computer science; Contrast (vision); Visibility; High-dynamic-range imaging; Impression; Tone (literature); Brightness; Computer vision; Range (aeronautics); Artificial intelligence; Dynamic range; Computer graphics (images); Geography; Optics; Engineering","score_opus":0.04059747123573715,"score_gpt":0.3283221605109995,"score_spread":0.28772468927526235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968571232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97023284,0.00013832067,0.027627308,0.000044442433,0.000034733155,0.00024597728,0.00003750088,0.0001605584,0.0014783337],"genre_scores_gemma":[0.93322265,0.00020294363,0.064854585,0.000060704635,0.000021607615,0.00014227134,0.00006370036,0.00010510298,0.0013264234],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981583,0.00082168245,0.00014782802,0.00021173125,0.00053742627,0.00012303365],"domain_scores_gemma":[0.9826612,0.013546517,0.0007590096,0.001041003,0.0015728852,0.00041947642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029055427,0.00084917207,0.0003287588,0.0005523126,0.00036079533,0.0010286665,0.00074772467,0.0007217898,0.002488192],"category_scores_gemma":[0.01949111,0.0002387103,0.0003418281,0.0002527524,0.0005562556,0.0012774956,0.00088197074,0.0004944736,0.00026559064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007130541,0.0020608008,0.008816942,0.001751941,0.0001766219,0.0008298835,0.0070489463,0.0049296897,0.7936762,0.0020473273,0.00074841396,0.17078261],"study_design_scores_gemma":[0.0012123568,0.049135655,0.09660356,0.00033432036,0.0008908618,0.004778763,0.0075617386,0.079089224,0.7456073,0.0027054392,0.011649769,0.0004309447],"about_ca_topic_score_codex":0.0003976926,"about_ca_topic_score_gemma":0.0003998446,"teacher_disagreement_score":0.0029055427,"about_ca_system_score_codex":0.00022285046,"about_ca_system_score_gemma":0.00024051259,"threshold_uncertainty_score":0.015366197},"labels":[],"label_agreement":null},{"id":"W1970239757","doi":"10.1145/990002.990003","title":"Islamic star patterns in absolute geometry","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Quasicrystal Structures and Properties","field":"Materials Science","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Star (game theory); Euclidean geometry; Tessellation (computer graphics); Parameterized complexity; Geometry; Set (abstract data type); Plane (geometry); Computer science; Mathematics; Combinatorics; Mathematical analysis","score_opus":0.015860173075168207,"score_gpt":0.23356840613791513,"score_spread":0.21770823306274692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970239757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0634626,0.0003226408,0.90047276,0.0002600237,0.00010266982,0.000050154325,0.0001460817,0.00038913792,0.034793995],"genre_scores_gemma":[0.47886515,0.00038730583,0.5087296,0.00019108337,0.000070246395,0.00015244349,0.00029084683,0.00019826995,0.011115039],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992261,0.00019783183,0.000057751506,0.00014901832,0.00030449816,0.000064790045],"domain_scores_gemma":[0.99944335,0.00016324465,0.00008712802,0.00015670992,0.0000970954,0.000052523297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373652,0.00028052213,0.00037461935,0.0006981545,0.00088740996,0.0015888112,0.0007086023,0.0004715727,0.005187328],"category_scores_gemma":[0.0019476579,0.00036501698,0.00062080025,0.00053996063,0.0024101015,0.0022921818,0.0015968257,0.0010828268,0.0009852509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022233198,0.000006784895,0.00029069005,0.000044178396,0.000005410267,0.00005984101,0.000276199,0.00833485,0.0024316686,0.9604061,0.001020154,0.027101789],"study_design_scores_gemma":[0.000015692807,0.00008997474,0.00033804125,0.000030260106,0.000009045736,0.00030518897,0.00022198481,0.056579992,0.004995878,0.8921925,0.0451889,0.00003259017],"about_ca_topic_score_codex":0.00064695015,"about_ca_topic_score_gemma":0.00082364975,"teacher_disagreement_score":0.005187328,"about_ca_system_score_codex":0.00055028923,"about_ca_system_score_gemma":0.0004190978,"threshold_uncertainty_score":0.017353356},"labels":[],"label_agreement":null},{"id":"W1971136783","doi":"10.1145/2185520.2185548","title":"Stochastic tomography and its applications in 3D imaging of mixing fluids","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tomography; Mixing (physics); Computer science; Tomographic reconstruction; Regular polygon; Grid; Algorithm; Iterative reconstruction; Mathematical optimization; Mathematics; Computer vision; Physics; Geometry; Optics","score_opus":0.021984375067295323,"score_gpt":0.30313430649333756,"score_spread":0.2811499314260422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971136783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004096032,0.000577072,0.99326974,0.0004154639,0.000025159428,0.000015408747,0.000031518677,0.00025596403,0.0013137355],"genre_scores_gemma":[0.20346925,0.0027905281,0.79140747,0.00024208635,0.00013403337,0.00008439468,0.00012403842,0.00018780916,0.0015603915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999678,0.0001076947,0.00001312135,0.000039317958,0.00014441535,0.00001747025],"domain_scores_gemma":[0.99929047,0.00042870766,0.00008307112,0.00008018733,0.00007114727,0.000046444504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057540037,0.000553651,0.00039040786,0.00077339413,0.00034555534,0.0009184867,0.0005385438,0.00087433436,0.0018802439],"category_scores_gemma":[0.0022153312,0.00044789616,0.0005883404,0.00093195733,0.0009245824,0.0006616101,0.0013005913,0.00089826237,0.00031769046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017704652,0.000056216104,0.00184635,0.00035399053,0.00007490689,0.00076855934,0.00031399174,0.44190443,0.10228551,0.20083511,0.0038996807,0.24748424],"study_design_scores_gemma":[0.000016079906,0.000039636943,0.00038618577,0.000022452592,0.000014518467,0.0008116043,0.000023837447,0.9307204,0.017965056,0.040687263,0.009281271,0.000031662417],"about_ca_topic_score_codex":0.0010284196,"about_ca_topic_score_gemma":0.0011782241,"teacher_disagreement_score":0.0018802439,"about_ca_system_score_codex":0.00037767555,"about_ca_system_score_gemma":0.00051136804,"threshold_uncertainty_score":0.006290078},"labels":[],"label_agreement":null},{"id":"W1971567222","doi":"10.1145/2766900","title":"Dihedral angle-based maps of tetrahedral meshes","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"","keywords":"Dihedral angle; Injective function; Tetrahedron; Polygon mesh; Interpolation (computer graphics); Mathematics; Polyhedron; Algorithm; Topology (electrical circuits); Geometry; Computer science; Combinatorics; Computer vision; Physics; Motion (physics)","score_opus":0.03580259551242094,"score_gpt":0.23534239723568517,"score_spread":0.19953980172326424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971567222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01583508,0.00010498174,0.97359663,0.00007997283,0.00007407579,0.000035323017,0.00009830027,0.0003143623,0.009861209],"genre_scores_gemma":[0.49963662,0.0006555693,0.48414293,0.00014208733,0.00013298924,0.00020002697,0.00048119485,0.0007749463,0.01383362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995982,0.00005088512,0.000018883651,0.000072734234,0.00022218883,0.000037126803],"domain_scores_gemma":[0.99961877,0.00008564039,0.000049150727,0.00011619357,0.00009719925,0.000033081706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028512458,0.0005361573,0.00032544605,0.0010508683,0.00029553164,0.0014811772,0.0007484751,0.0005397916,0.0040465514],"category_scores_gemma":[0.0015276064,0.00034647816,0.00046546682,0.0006274125,0.001157756,0.0014016512,0.0017087611,0.0012792192,0.001198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098544726,0.000047756665,0.00041948765,0.00016463491,0.000015144728,0.00021608599,0.00048407217,0.11635276,0.04454417,0.6896546,0.0026810071,0.14532179],"study_design_scores_gemma":[0.000024484825,0.00012640079,0.00038881274,0.00005510069,0.000014696058,0.0007689522,0.00023434826,0.6492263,0.03605844,0.26116598,0.051876847,0.000059692473],"about_ca_topic_score_codex":0.00043786815,"about_ca_topic_score_gemma":0.00031606905,"teacher_disagreement_score":0.0040465514,"about_ca_system_score_codex":0.00034323323,"about_ca_system_score_gemma":0.00033871084,"threshold_uncertainty_score":0.013537109},"labels":[],"label_agreement":null},{"id":"W1974420726","doi":"10.1145/1778765.1778808","title":"Robust physics-based locomotion using low-dimensional planning","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Traverse; Terrain; Computer science; Control theory (sociology); Gait; Simulation; Jumping; Controller (irrigation); Motion planning; Heading (navigation); Planner; Robot; Control (management); Engineering; Artificial intelligence; Aerospace engineering","score_opus":0.030692216572483732,"score_gpt":0.2366008428649892,"score_spread":0.20590862629250548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974420726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077252993,0.000112450194,0.9872836,0.00006672907,0.000029425615,0.000035521323,0.000025679874,0.0014425355,0.0032788226],"genre_scores_gemma":[0.6801646,0.00019345689,0.3157158,0.000083894716,0.000034223947,0.00022003602,0.00013533834,0.0002253477,0.003227335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999729,0.000039087565,0.000014339401,0.000055330023,0.0001371958,0.000025101042],"domain_scores_gemma":[0.99965024,0.00015523912,0.000055966615,0.000062138024,0.000054158383,0.0000223118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033270323,0.0007389431,0.00059706013,0.0003424023,0.00039106494,0.00068252307,0.00092452514,0.0005271595,0.0015626723],"category_scores_gemma":[0.00093438104,0.0004633132,0.00041422315,0.00021085028,0.00069445337,0.0005644753,0.0009595416,0.0007292055,0.00041505674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051200128,0.000037789963,0.0001664359,0.000047821675,0.00001958062,0.00007405063,0.00004241536,0.93168205,0.009938025,0.011269294,0.0008612537,0.04581011],"study_design_scores_gemma":[0.000009149534,0.00002023876,0.0000392562,0.0000027012097,0.000003170757,0.000010948323,0.000002348625,0.99523443,0.0010186131,0.002991132,0.0006634993,0.0000045930287],"about_ca_topic_score_codex":0.0036453046,"about_ca_topic_score_gemma":0.0031284795,"teacher_disagreement_score":0.0036453046,"about_ca_system_score_codex":0.00049129105,"about_ca_system_score_gemma":0.000928629,"threshold_uncertainty_score":0.007248163},"labels":[],"label_agreement":null},{"id":"W1975807399","doi":"10.1145/2461912.2461924","title":"Co-hierarchical analysis of shape structures","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hierarchical clustering; Hierarchy; Shape analysis (program analysis); Tree (set theory); Set (abstract data type); Cluster analysis; Computer science; Tree structure; Similarity (geometry); Cluster (spacecraft); Hierarchical clustering of networks; Hierarchical database model; Selection (genetic algorithm); Active shape model; Scale (ratio); Mathematics; Pattern recognition (psychology); Algorithm; Artificial intelligence; Data mining; Binary tree; Combinatorics; Image (mathematics); Fuzzy clustering; Static analysis; Geography","score_opus":0.015341878399274525,"score_gpt":0.24434718389172125,"score_spread":0.22900530549244671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975807399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020372305,0.0002411797,0.97536725,0.00012841786,0.000018930183,0.00006360917,0.0002573095,0.0007749301,0.0027760619],"genre_scores_gemma":[0.46138725,0.0004398695,0.5311467,0.00014971345,0.00007982988,0.0002429709,0.0013808971,0.0005301428,0.004642668],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983169,0.00024787852,0.000056781235,0.0004240348,0.0007368132,0.00021768712],"domain_scores_gemma":[0.99691135,0.0007204582,0.00038529932,0.0008201912,0.0009790786,0.00018361515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007965743,0.00079198985,0.0008919393,0.00536133,0.0012350773,0.002015021,0.0019461532,0.0010318436,0.0035364863],"category_scores_gemma":[0.0045406385,0.00068356196,0.0015267985,0.0038677282,0.0016960615,0.0022333867,0.0025731055,0.001426711,0.0015385887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031175493,0.00020135776,0.016048882,0.00055913517,0.0003563312,0.00078003807,0.002276859,0.2728566,0.08324268,0.18340497,0.011722747,0.42823863],"study_design_scores_gemma":[0.000007976072,0.000045955585,0.005237163,0.000029648867,0.00005073458,0.000332522,0.00025695184,0.91639036,0.0075251134,0.062021777,0.008054515,0.000047290276],"about_ca_topic_score_codex":0.00658312,"about_ca_topic_score_gemma":0.010418879,"teacher_disagreement_score":0.00658312,"about_ca_system_score_codex":0.0012453343,"about_ca_system_score_gemma":0.0013393258,"threshold_uncertainty_score":0.013089597},"labels":[],"label_agreement":null},{"id":"W1978762550","doi":"10.1145/588272.588278","title":"Multiresolution green's function methods for interactive simulation of large-scale elastostatic objects","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Wavelet; Multiresolution analysis; Solver; Algorithm; Basis function; Rendering (computer graphics); Computational science; Mathematical optimization; Wavelet transform; Mathematics; Discrete wavelet transform; Artificial intelligence","score_opus":0.029931260507493222,"score_gpt":0.36699295375002766,"score_spread":0.33706169324253443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978762550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007003453,0.000112966954,0.9896361,0.00011907896,0.00002761716,0.000026457132,0.00003909667,0.00075735495,0.002277863],"genre_scores_gemma":[0.21991742,0.00033217034,0.77600014,0.000079436664,0.000044607936,0.00021463617,0.0001487273,0.00049141765,0.002771387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997578,0.000056767065,0.000008211019,0.0000146584,0.00014030756,0.000022215576],"domain_scores_gemma":[0.99965596,0.0001835206,0.000025423593,0.00006284873,0.00004172092,0.000030550586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045387505,0.0006082133,0.0005269653,0.0004571527,0.00046049067,0.00064740446,0.0010606222,0.00088516745,0.0040015266],"category_scores_gemma":[0.0012178163,0.00031235276,0.00065886445,0.0005117957,0.0005497579,0.00080066134,0.0011237577,0.0010341746,0.00057689263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043381457,0.00004395549,0.00028628024,0.00008264015,0.000029357503,0.0001705551,0.0001677388,0.8692746,0.018502384,0.066350214,0.0021108922,0.042937964],"study_design_scores_gemma":[0.0000072542443,0.000005823154,0.000023824481,0.0000032159585,0.000001949497,0.000019502342,0.0000055721152,0.99205196,0.0012660886,0.004736352,0.0018744456,0.000003981095],"about_ca_topic_score_codex":0.0018733615,"about_ca_topic_score_gemma":0.0018948438,"teacher_disagreement_score":0.0040015266,"about_ca_system_score_codex":0.00051095244,"about_ca_system_score_gemma":0.0006627496,"threshold_uncertainty_score":0.013386428},"labels":[],"label_agreement":null},{"id":"W1979292301","doi":"10.1145/2159516.2159519","title":"Spacetime expression cloning for blendshapes","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Retargeting; Animation; Computer science; Computer facial animation; Expression (computer science); Computer vision; Computer animation; Artificial intelligence; Computer graphics (images)","score_opus":0.027218881488164818,"score_gpt":0.25238940657652104,"score_spread":0.22517052508835622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979292301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054548644,0.000044550226,0.9914726,0.000035341654,0.000021121748,0.00001796002,0.000025319618,0.0007601241,0.002168162],"genre_scores_gemma":[0.3244026,0.00024465815,0.66008186,0.00012823431,0.000048370413,0.00011164175,0.00021867234,0.0012522823,0.013511716],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999532,0.00008174061,0.000024815929,0.00010787168,0.00021846985,0.000035051715],"domain_scores_gemma":[0.9995338,0.00015159888,0.000048983013,0.00017752887,0.00005866783,0.000029544972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062792253,0.0006354159,0.00043049778,0.00039519847,0.00037539637,0.00071131,0.0010420007,0.0005314496,0.004921212],"category_scores_gemma":[0.0023158996,0.00037298974,0.0008007853,0.00032129715,0.00074427115,0.0010375729,0.0015841699,0.0009334587,0.0013692778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001991508,0.00006238738,0.0007386669,0.00015584756,0.000034580713,0.0005709141,0.00073710445,0.2087912,0.15771624,0.30912817,0.0044141463,0.3174516],"study_design_scores_gemma":[0.0000208349,0.000074110976,0.0002415092,0.000020717798,0.000018437127,0.00038390726,0.00005255881,0.85296345,0.050565705,0.06452949,0.031089675,0.000039646202],"about_ca_topic_score_codex":0.0008731505,"about_ca_topic_score_gemma":0.0008854289,"teacher_disagreement_score":0.004921212,"about_ca_system_score_codex":0.0005769391,"about_ca_system_score_gemma":0.00028073185,"threshold_uncertainty_score":0.016463041},"labels":[],"label_agreement":null},{"id":"W1980668895","doi":"10.1145/2231816.2231822","title":"Simple formulas for quasiconformal plane deformations","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Computing and Communication Foundations; Natural Sciences and Engineering Research Council of Canada","keywords":"Image warping; Conformal map; Distortion (music); Simple (philosophy); Point (geometry); Deformation (meteorology); Planar; Mathematics; Boundary (topology); Domain (mathematical analysis); Plane (geometry); Geometry; Interpolation (computer graphics); Mathematical analysis; Computer science; Image (mathematics); Computer graphics (images)","score_opus":0.018233954869093884,"score_gpt":0.26530342557029424,"score_spread":0.24706947070120036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980668895","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00869646,0.00023725831,0.97976285,0.00013468871,0.000105248204,0.000051009043,0.000067401765,0.00027057817,0.010674522],"genre_scores_gemma":[0.32117468,0.000950352,0.6617362,0.00032665674,0.0002715907,0.00031834567,0.00026838985,0.00086749246,0.014086236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887747,0.00013388562,0.00009392008,0.00013975993,0.0006710345,0.00008398917],"domain_scores_gemma":[0.99875593,0.00047805754,0.00014725445,0.00025266266,0.0003082296,0.000057826262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015065644,0.00091089366,0.0005202787,0.0016165245,0.0005190802,0.0016792286,0.0012989128,0.0012271864,0.011152993],"category_scores_gemma":[0.0065254257,0.00043720458,0.0006811883,0.0010245543,0.0018573285,0.0032759241,0.0021259391,0.0020682733,0.002548755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046689456,0.00002820162,0.00025487703,0.00013365717,0.000008625142,0.00014497532,0.00013072061,0.021276448,0.012214594,0.86802036,0.0022527445,0.095488034],"study_design_scores_gemma":[0.00003198774,0.00012257489,0.00029824654,0.00007265446,0.00001654537,0.0005764763,0.00008156352,0.25833565,0.01960068,0.6968241,0.023981249,0.0000582372],"about_ca_topic_score_codex":0.00030267198,"about_ca_topic_score_gemma":0.0005932746,"teacher_disagreement_score":0.011152993,"about_ca_system_score_codex":0.0007523316,"about_ca_system_score_gemma":0.0004088238,"threshold_uncertainty_score":0.03731042},"labels":[],"label_agreement":null},{"id":"W1980976193","doi":"10.1145/1073204.1073251","title":"Modeling and visualization of leaf venation patterns","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":281,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Voronoi diagram; Computer science; Subdivision; Tree (set theory); Algorithm; Visualization; Graph; Biological system; Theoretical computer science; Mathematics; Data mining; Geometry; Biology","score_opus":0.023050297491517772,"score_gpt":0.24129619239127395,"score_spread":0.21824589489975618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980976193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014637519,0.00009198933,0.9826932,0.000090630994,0.000014936404,0.000027920158,0.00007232433,0.00093074207,0.0014408104],"genre_scores_gemma":[0.29782978,0.00034471357,0.6982356,0.000043951393,0.000024331017,0.00012588475,0.00030132302,0.00037238174,0.00272201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997589,0.000056388788,0.000013388415,0.00004685694,0.00010226867,0.00002224984],"domain_scores_gemma":[0.9996692,0.0001422945,0.000034475954,0.00006436007,0.00006404071,0.000025709665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036266007,0.0004940461,0.00039394025,0.00048127476,0.00023439982,0.0014720093,0.0009966941,0.00079050224,0.0022088597],"category_scores_gemma":[0.0014501993,0.00041365903,0.00059042365,0.00041731758,0.00036291394,0.0008608137,0.0006631871,0.0007662052,0.0005540266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008864028,0.00003729897,0.001212965,0.00013926519,0.000038429498,0.00015271561,0.0002755025,0.78802156,0.07669665,0.03993454,0.002492207,0.0909102],"study_design_scores_gemma":[0.000007160451,0.000009338276,0.00014304565,0.000006129906,0.0000027460478,0.000042226387,0.00000824751,0.985225,0.006844199,0.004877049,0.0028291468,0.0000057027587],"about_ca_topic_score_codex":0.0016336987,"about_ca_topic_score_gemma":0.0018277316,"teacher_disagreement_score":0.0022088597,"about_ca_system_score_codex":0.00048280047,"about_ca_system_score_gemma":0.00045352906,"threshold_uncertainty_score":0.0073893666},"labels":[],"label_agreement":null},{"id":"W1981219830","doi":"10.1145/2601097.2601110","title":"Exploratory font selection using crowdsourced attributes","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Music and Audio Processing","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Adobe Systems","keywords":"Font; Computer science; Selection (genetic algorithm); Similarity (geometry); Crowdsourcing; Information retrieval; Artificial intelligence; Metric (unit); Human–computer interaction; Natural language processing; World Wide Web","score_opus":0.04275869709030147,"score_gpt":0.2576552930373095,"score_spread":0.21489659594700802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981219830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27620935,0.0019986057,0.63699275,0.0008641979,0.00049234316,0.0026187042,0.0096195135,0.036874775,0.03432975],"genre_scores_gemma":[0.5145292,0.00034128755,0.46480238,0.0004623547,0.00012563149,0.0016974832,0.008047695,0.0015275972,0.008466337],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99526393,0.0018590384,0.00020260323,0.00092806655,0.0015917403,0.00015458022],"domain_scores_gemma":[0.9857782,0.009470516,0.0005370659,0.00224547,0.0014153116,0.0005534105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032327885,0.0023306157,0.001644264,0.003445603,0.0011317832,0.00224653,0.002269529,0.0015753756,0.007520917],"category_scores_gemma":[0.022775838,0.0005044388,0.001448103,0.0019495868,0.00075214624,0.0035840045,0.0044859117,0.0012044997,0.0034131503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040825554,0.0019245684,0.020825977,0.0029648312,0.0004203622,0.0011789204,0.0069136745,0.043126136,0.043809317,0.0073026405,0.051682353,0.81576866],"study_design_scores_gemma":[0.0007322929,0.0015967382,0.023797052,0.0006313807,0.00029841784,0.0012234465,0.0067244754,0.70349795,0.044852663,0.06327277,0.15268032,0.0006925257],"about_ca_topic_score_codex":0.003088526,"about_ca_topic_score_gemma":0.0056543346,"teacher_disagreement_score":0.007520917,"about_ca_system_score_codex":0.0008180782,"about_ca_system_score_gemma":0.00081207097,"threshold_uncertainty_score":0.025159955},"labels":[],"label_agreement":null},{"id":"W1982480476","doi":"10.1145/1015706.1015761","title":"Obscuring length changes during animated motion","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Character (mathematics); Motion (physics); Sensitivity (control systems); Perception; Set (abstract data type); Process (computing); Function (biology); Computer graphics (images); Artificial intelligence; Computer vision; Animation; Algorithm; Mathematics; Psychology; Geometry","score_opus":0.01838240147072364,"score_gpt":0.21803217059226196,"score_spread":0.1996497691215383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982480476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96500576,0.0005730917,0.0312801,0.000079990634,0.000067150664,0.00006692307,0.00010843208,0.0003072343,0.002511258],"genre_scores_gemma":[0.9896445,0.00025998644,0.00916493,0.00007914655,0.000031209307,0.000023141729,0.00013847773,0.00012321233,0.00053536944],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99912065,0.00022208013,0.00006317234,0.00018012439,0.00030236816,0.000111624504],"domain_scores_gemma":[0.9909623,0.0064001405,0.0010858972,0.00080902997,0.00047976524,0.0002629057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075438916,0.0005141885,0.00052995107,0.0006349615,0.00037240508,0.0010457594,0.00060210447,0.0007142315,0.0021899035],"category_scores_gemma":[0.020663375,0.0004303977,0.00036043982,0.00035952425,0.0006183891,0.0016226857,0.0012953418,0.0008108334,0.000238541],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028409162,0.00012106921,0.00834053,0.00070133235,0.00015382722,0.00064985076,0.0020076032,0.026868638,0.85227543,0.0011565883,0.00035965056,0.10452455],"study_design_scores_gemma":[0.00029810928,0.006459599,0.27324265,0.00040294393,0.00077104155,0.0035969699,0.0016047618,0.1909015,0.50479203,0.0075694066,0.010035858,0.00032511988],"about_ca_topic_score_codex":0.0008983775,"about_ca_topic_score_gemma":0.0007809209,"teacher_disagreement_score":0.0021899035,"about_ca_system_score_codex":0.0004353242,"about_ca_system_score_gemma":0.00018762579,"threshold_uncertainty_score":0.0073259473},"labels":[],"label_agreement":null},{"id":"W1984039196","doi":"10.1145/2601097.2601103","title":"Temporal frequency probing for 5D transient analysis of global light transport","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Projector; Transient (computer programming); Computer science; Computer vision; Reflection (computer programming); Wavefront; Global illumination; Artificial intelligence; Computational photography; Optics; Physics; Image (mathematics); Image processing","score_opus":0.016076702456790066,"score_gpt":0.2609627144453149,"score_spread":0.2448860119885248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984039196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17691413,0.00015605625,0.8176371,0.00010250575,0.000021257609,0.000034604916,0.0001237057,0.0005984975,0.004412262],"genre_scores_gemma":[0.81863505,0.00021619807,0.17940764,0.000054168144,0.000020463665,0.000064252075,0.00015869726,0.00012922093,0.0013142902],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991703,0.000011668797,0.0000029080027,0.000018856434,0.00003263697,0.000016868995],"domain_scores_gemma":[0.9998185,0.000068472174,0.000032384585,0.000036920923,0.000025182779,0.000018513341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018415453,0.00033294183,0.00019817967,0.0007215501,0.0002706396,0.0005197206,0.00042426435,0.0004492204,0.0020159513],"category_scores_gemma":[0.00060056645,0.00022531427,0.00027273435,0.00043284576,0.0004909959,0.0009372338,0.00058194244,0.00061970396,0.00021294135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003501355,0.0001425825,0.005705485,0.00017501158,0.00005856286,0.0004007973,0.00055042614,0.16518109,0.6412275,0.06752108,0.0011676037,0.11751971],"study_design_scores_gemma":[0.000010395008,0.00007026813,0.0024805996,0.0000131805455,0.000013645384,0.00014003488,0.00013354923,0.93762225,0.04778762,0.009531562,0.0021693506,0.000027599153],"about_ca_topic_score_codex":0.0011225038,"about_ca_topic_score_gemma":0.0014338135,"teacher_disagreement_score":0.0020159513,"about_ca_system_score_codex":0.0005247629,"about_ca_system_score_gemma":0.00031308617,"threshold_uncertainty_score":0.006744027},"labels":[],"label_agreement":null},{"id":"W1984863278","doi":"10.1145/2661229.2661261","title":"A PPPM fast summation method for fluids and beyond","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Computer science; Computational science; Grid; Rendering (computer graphics); Multigrid method; Mathematical optimization; Algorithm; Applied mathematics; Parallel computing; Partial differential equation; Mathematics; Geometry; Mathematical analysis; Computer graphics (images)","score_opus":0.010479710553224648,"score_gpt":0.2557255236867847,"score_spread":0.24524581313356006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984863278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012099756,0.0005185551,0.99060726,0.0002669507,0.00033365496,0.0000514596,0.00012963668,0.0014054915,0.005477],"genre_scores_gemma":[0.031063033,0.0008859251,0.9520353,0.00031778752,0.000254311,0.000384628,0.00046792126,0.0014065967,0.013184432],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994215,0.00008904853,0.000030273379,0.000052012427,0.00037281465,0.00003446951],"domain_scores_gemma":[0.99943393,0.00017058659,0.000034143555,0.00009090242,0.00022170298,0.00004868473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007203165,0.0008884579,0.0008212266,0.00077799254,0.0010944596,0.0011642566,0.0021358095,0.0014205741,0.009709742],"category_scores_gemma":[0.0023545655,0.0005659277,0.001198714,0.00096662855,0.00065387634,0.0017207895,0.0021993606,0.0022194763,0.0043557785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108486405,0.00011912071,0.00085671194,0.0007042497,0.00009997544,0.0005079782,0.00039657272,0.16460685,0.024792807,0.33248678,0.06499357,0.41032702],"study_design_scores_gemma":[0.00004747826,0.000029440926,0.00014800954,0.00006198063,0.000015281707,0.00023630665,0.000023287512,0.86445266,0.0055318233,0.054280914,0.075138435,0.000034418812],"about_ca_topic_score_codex":0.0023732753,"about_ca_topic_score_gemma":0.0021867445,"teacher_disagreement_score":0.009709742,"about_ca_system_score_codex":0.0006870885,"about_ca_system_score_gemma":0.0021723113,"threshold_uncertainty_score":0.032482326},"labels":[],"label_agreement":null},{"id":"W1985640101","doi":"10.1145/1409060.1409117","title":"Staggered projections for frictional contact in multibody systems","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Computer science; Constraint (computer-aided design); Leverage (statistics); Simple (philosophy); Control theory (sociology); Contact dynamics; Contact force; Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Control (management); Geometry; Physics; Classical mechanics","score_opus":0.022763931676359102,"score_gpt":0.2312766270762219,"score_spread":0.2085126953998628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985640101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011726192,0.00007691335,0.9869696,0.000043812164,0.000019579351,0.00001862507,0.000011328589,0.00012644171,0.0010075559],"genre_scores_gemma":[0.50190294,0.00022036789,0.49429885,0.000050350023,0.000037991624,0.0001566456,0.00007388738,0.00017579232,0.0030832293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967825,0.00009648961,0.000014126702,0.00003596895,0.00015217386,0.000022953442],"domain_scores_gemma":[0.9996786,0.0001350384,0.000042089854,0.000063003725,0.000046467907,0.000034821347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049138564,0.0006007147,0.0005605571,0.00032323736,0.000446115,0.0008819473,0.0008478267,0.0008935031,0.002975983],"category_scores_gemma":[0.0016272049,0.00043283752,0.00052964455,0.0003262911,0.0008278863,0.0011636618,0.0013684018,0.0013040955,0.00052739924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009504944,0.000055976103,0.00050058676,0.000085550986,0.000025502655,0.0001749668,0.00020844169,0.81492317,0.013663814,0.12393759,0.0007949787,0.045534335],"study_design_scores_gemma":[0.000005185312,0.000016396556,0.000028310507,0.0000031831132,0.0000011734289,0.0000147270475,0.0000075173293,0.9899554,0.0009244847,0.0084497975,0.0005897275,0.000004104593],"about_ca_topic_score_codex":0.0013743279,"about_ca_topic_score_gemma":0.0012665386,"teacher_disagreement_score":0.002975983,"about_ca_system_score_codex":0.0003869215,"about_ca_system_score_gemma":0.00066545274,"threshold_uncertainty_score":0.009955585},"labels":[],"label_agreement":null},{"id":"W1986341048","doi":"10.1145/2766913","title":"Vector graphics animation with time-varying topology","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Merge (version control); Computer science; Graphics; Topology (electrical circuits); Computer graphics (images); Vector graphics; Data structure; Computer animation; Topological data analysis; Algorithm; Mathematics","score_opus":0.03535847759558599,"score_gpt":0.29047680149265126,"score_spread":0.2551183238970653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986341048","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008250207,0.0001310888,0.9792469,0.00022481031,0.00017464986,0.0000654012,0.00038979578,0.0035946264,0.007922491],"genre_scores_gemma":[0.34318894,0.0005870903,0.64028853,0.00017820069,0.00013628569,0.00038758406,0.0016042193,0.0019173238,0.011711852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937516,0.00013502162,0.000037237507,0.00009205269,0.00031457513,0.000046034966],"domain_scores_gemma":[0.99893314,0.0004240777,0.000082783416,0.0002287732,0.0002344594,0.00009681971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077114184,0.00082781527,0.00046827784,0.0010488769,0.00045691873,0.0027879584,0.0013018567,0.0007800772,0.013490393],"category_scores_gemma":[0.0037062138,0.00040042493,0.00041694916,0.0013734539,0.00082442636,0.0026655076,0.0016750994,0.001274495,0.0017657703],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043250498,0.00010005109,0.0014772456,0.000305607,0.000048579983,0.00061964174,0.00095782115,0.25897494,0.04509293,0.42590955,0.03220976,0.2338714],"study_design_scores_gemma":[0.00006963641,0.00009570971,0.0003956984,0.000044393462,0.000015585043,0.0002646524,0.000083081104,0.8304992,0.015439551,0.068709634,0.08432228,0.000060630595],"about_ca_topic_score_codex":0.0013197523,"about_ca_topic_score_gemma":0.0013117072,"teacher_disagreement_score":0.013490393,"about_ca_system_score_codex":0.0005906705,"about_ca_system_score_gemma":0.00043815482,"threshold_uncertainty_score":0.045129836},"labels":[],"label_agreement":null},{"id":"W1986839164","doi":"10.1145/1559755.1559763","title":"Photorealistic models for pupil light reflex and iridal pattern deformation","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Pupil; Computer science; Pupillary response; Computer vision; Pupillometry; IRIS (biosensor); Deformation (meteorology); Function (biology); Artificial intelligence; Pupillary light reflex; Animation; Optics; Computer graphics (images); Geology; Biometrics; Physics","score_opus":0.023919076193912203,"score_gpt":0.27933695954045307,"score_spread":0.25541788334654086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986839164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04402243,0.000570285,0.9384428,0.0007078237,0.000118322045,0.00008613063,0.00019389116,0.00047813053,0.01538015],"genre_scores_gemma":[0.86700195,0.0011260909,0.10937564,0.0002640274,0.00007641222,0.00032135486,0.00017898189,0.0002133761,0.021442134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998252,0.000032092597,0.000009303955,0.000037834812,0.00007887062,0.000016773956],"domain_scores_gemma":[0.99978083,0.00007801522,0.000049663555,0.000029131425,0.00004270102,0.0000197021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029310444,0.00046648533,0.00030072985,0.00036452716,0.00020362994,0.0005897844,0.0011334578,0.000987838,0.0024338656],"category_scores_gemma":[0.0010268022,0.0003392858,0.00072534056,0.00019802894,0.0005283401,0.00071242836,0.0005220509,0.0007587734,0.000630634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004535469,0.000055543132,0.0007496235,0.00007693139,0.000017163651,0.00022340803,0.00019401032,0.90430284,0.039820276,0.038452726,0.0012325244,0.014829538],"study_design_scores_gemma":[0.00000923888,0.000025734777,0.00030144287,0.0000058806427,0.000005396947,0.00010826152,0.0000104934215,0.9936154,0.0012396594,0.0032234131,0.001444265,0.00001076376],"about_ca_topic_score_codex":0.0025992463,"about_ca_topic_score_gemma":0.0017982713,"teacher_disagreement_score":0.0025992463,"about_ca_system_score_codex":0.0006963481,"about_ca_system_score_gemma":0.000536677,"threshold_uncertainty_score":0.008142114},"labels":[],"label_agreement":null},{"id":"W1987113397","doi":"10.1145/1857907.1857911","title":"ℓ <sub>1</sub> -Sparse reconstruction of sharp point set surfaces","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Tel Aviv University; University of Pennsylvania","keywords":"Piecewise; Maxima and minima; Solver; Surface reconstruction; Algorithm; Point cloud; Set (abstract data type); Computer science; Point (geometry); Mathematics; Surface (topology); Interior point method; Mathematical optimization; Artificial intelligence; Geometry; Mathematical analysis","score_opus":0.012428119804648967,"score_gpt":0.23411983436440023,"score_spread":0.22169171455975126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987113397","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029498837,0.000057817688,0.99572456,0.000084959356,0.000025672012,0.0000112080115,0.00003589277,0.00015624688,0.00095378276],"genre_scores_gemma":[0.12089656,0.00037678948,0.8728725,0.00011235759,0.00007507262,0.00007339408,0.0002564333,0.0002183714,0.005118583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997445,0.000036381476,0.00001001532,0.000028883554,0.0001576794,0.00002260378],"domain_scores_gemma":[0.99963534,0.00013984903,0.000046424706,0.000081816295,0.000072144125,0.000024385927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039756653,0.00044981984,0.0005847867,0.0004486942,0.00019449761,0.00087555865,0.00093240675,0.0009459106,0.0035202305],"category_scores_gemma":[0.0015636769,0.00032006478,0.0005743866,0.00049014157,0.0006097712,0.00089721027,0.0011160243,0.001589424,0.0012715124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016246877,0.000064104286,0.0010388076,0.00039754415,0.000039155722,0.00044899128,0.00018043324,0.48465037,0.07429284,0.16956721,0.008946723,0.2602113],"study_design_scores_gemma":[0.0000053269373,0.00002062533,0.0000936817,0.000007762855,0.000002849749,0.00018653605,0.0000125148235,0.97787756,0.006294293,0.011446531,0.0040448774,0.00000745246],"about_ca_topic_score_codex":0.00055098045,"about_ca_topic_score_gemma":0.0007416964,"teacher_disagreement_score":0.0035202305,"about_ca_system_score_codex":0.00022003434,"about_ca_system_score_gemma":0.0004036924,"threshold_uncertainty_score":0.011776328},"labels":[],"label_agreement":null},{"id":"W1987370452","doi":"10.1145/2816795.2818074","title":"Generalized cylinder decomposition","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Measure (data warehouse); Cylinder; Decomposition; Mathematics; Completeness (order theory); Simple (philosophy); Function (biology); Mathematical optimization; Algorithm; Geometry; Computer science; Mathematical analysis","score_opus":0.02928014606069639,"score_gpt":0.2919500218925135,"score_spread":0.2626698758318171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987370452","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010277876,0.00013924664,0.9837532,0.000056772755,0.000026675476,0.000036450274,0.0001221131,0.0003233545,0.005264335],"genre_scores_gemma":[0.20086847,0.0004233116,0.7861172,0.00013464925,0.00005446956,0.00015957272,0.0011364223,0.000784517,0.010321363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99953747,0.00004873679,0.000020996004,0.0000823377,0.00024320012,0.00006734656],"domain_scores_gemma":[0.99964046,0.00009611686,0.000034685196,0.00009587974,0.000096828604,0.00003600816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044478383,0.0010155767,0.00084655645,0.00092948414,0.00043611505,0.0015169372,0.0007838446,0.0008710178,0.006434205],"category_scores_gemma":[0.0011182986,0.00041601673,0.0012035376,0.0006657858,0.0007527651,0.0014241644,0.0015662614,0.0009779283,0.0018342215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013295874,0.000046530204,0.0008911199,0.00023502737,0.0000527291,0.0003375747,0.00017250402,0.6091675,0.039608907,0.13938935,0.00880568,0.20116004],"study_design_scores_gemma":[0.000009220148,0.000038475366,0.00021991528,0.000020007566,0.000011166717,0.00020350305,0.000041739728,0.9464558,0.006017972,0.037683584,0.009282,0.000016695389],"about_ca_topic_score_codex":0.0017566695,"about_ca_topic_score_gemma":0.0026765054,"teacher_disagreement_score":0.006434205,"about_ca_system_score_codex":0.0005678745,"about_ca_system_score_gemma":0.0008739899,"threshold_uncertainty_score":0.021524549},"labels":[],"label_agreement":null},{"id":"W1987419791","doi":"10.1145/1618452.1618458","title":"Procedural modeling of structurally-sound masonry buildings","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Focus (optics); Masonry; Set (abstract data type); Sound (geography); State (computer science); Structural engineering; Acoustics; Algorithm; Engineering; Programming language","score_opus":0.026593608048946536,"score_gpt":0.28947219924481904,"score_spread":0.2628785911958725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987419791","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02614699,0.000025417925,0.9697874,0.00004793365,0.000010055722,0.000034153978,0.00005579056,0.00031937932,0.0035727909],"genre_scores_gemma":[0.6134135,0.00015393116,0.38190615,0.000039044357,0.000020920097,0.00015525153,0.00021407679,0.00018029101,0.0039167805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967396,0.000075029646,0.000015612539,0.000033213077,0.00016614761,0.0000360161],"domain_scores_gemma":[0.9996146,0.00016193128,0.000048972022,0.000083376945,0.00006283073,0.000028270377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041612206,0.0004232159,0.00037108993,0.00053155347,0.00036412597,0.001176092,0.0012978863,0.0010014185,0.0024195542],"category_scores_gemma":[0.0014912616,0.00048394408,0.00063003384,0.00040611002,0.0009829871,0.00077519374,0.0012307152,0.00065636344,0.00034767247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003860496,0.00004008447,0.00047552053,0.000054557728,0.0000161415,0.0002142266,0.000246191,0.87928253,0.02347021,0.07739968,0.00045294245,0.018309318],"study_design_scores_gemma":[0.000006327572,0.000020665871,0.0001224525,0.0000060374778,0.000006019896,0.00006697365,0.000019293744,0.9855716,0.0024309605,0.009671237,0.0020712367,0.0000070788847],"about_ca_topic_score_codex":0.0012891919,"about_ca_topic_score_gemma":0.0023899921,"teacher_disagreement_score":0.0024195542,"about_ca_system_score_codex":0.00023236292,"about_ca_system_score_gemma":0.00047420425,"threshold_uncertainty_score":0.008094251},"labels":[],"label_agreement":null},{"id":"W1987431312","doi":"10.1145/1360612.1360680","title":"Continuation methods for adapting simulated skills","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Continuation; Computer science; Scalability; Path (computing); Sequence (biology); TRACE (psycholinguistics); Parameterized complexity; Object (grammar); Algorithm; Mathematical optimization; Simulation; Artificial intelligence; Mathematics","score_opus":0.04083354517195193,"score_gpt":0.3176372091633473,"score_spread":0.2768036639913954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987431312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076352237,0.00013894567,0.9882736,0.00010044608,0.000053258063,0.00009001619,0.000044699704,0.0005979574,0.003065819],"genre_scores_gemma":[0.29916665,0.00046050097,0.69060963,0.00013339093,0.000090444824,0.0013296285,0.00027383066,0.0006233859,0.0073125702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954945,0.0001638722,0.000028442033,0.000082533035,0.00013922437,0.000036482354],"domain_scores_gemma":[0.99877673,0.0007294008,0.00008597077,0.0001923623,0.00014162347,0.000073923526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013945079,0.0010491337,0.00075814925,0.000933028,0.0006105362,0.00097149046,0.0016112278,0.0013391555,0.0076424596],"category_scores_gemma":[0.0071191974,0.0008167891,0.0010008466,0.00049984275,0.0010947775,0.0014972306,0.0021165484,0.0015664756,0.0011479728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011429953,0.000073230636,0.0006157826,0.00014025562,0.000049476243,0.00008787543,0.00032794342,0.8308756,0.004146813,0.065375626,0.002263911,0.09592914],"study_design_scores_gemma":[0.00002655562,0.000022963679,0.00006450367,0.000015951806,0.000006871879,0.000013383564,0.00001988355,0.9703802,0.00049288775,0.025841825,0.0031045869,0.000010438767],"about_ca_topic_score_codex":0.0034527984,"about_ca_topic_score_gemma":0.0030681577,"teacher_disagreement_score":0.0076424596,"about_ca_system_score_codex":0.0009670062,"about_ca_system_score_gemma":0.0010532853,"threshold_uncertainty_score":0.025566518},"labels":[],"label_agreement":null},{"id":"W1988317275","doi":"10.1145/1618452.1618522","title":"Consolidation of unorganized point clouds for surface reconstruction","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":490,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Point cloud; Outlier; Computer science; Algorithm; Normal; Iterative closest point; Iterative method; Surface (topology); Mathematical optimization; Computer vision; Artificial intelligence; Mathematics; Geometry","score_opus":0.015580744972141593,"score_gpt":0.23215966582193454,"score_spread":0.21657892084979294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988317275","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009558311,0.00005036112,0.98895186,0.000058844715,0.000022736365,0.000058423044,0.00004594064,0.00074120396,0.00051234354],"genre_scores_gemma":[0.15694422,0.00018843805,0.84034115,0.000056695273,0.00002946933,0.00009084294,0.00053477276,0.00040028803,0.001414159],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908507,0.000108472595,0.000049462295,0.00011058503,0.0005553545,0.00009105728],"domain_scores_gemma":[0.9980361,0.00034103345,0.00015053115,0.0007434346,0.00062752067,0.00010142294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009876052,0.0010011218,0.0009355574,0.0019085057,0.00046369334,0.0022712282,0.00180985,0.0010171928,0.0025117216],"category_scores_gemma":[0.0037178702,0.0009008925,0.0010154413,0.002003893,0.00085622614,0.0020066842,0.0027261388,0.0016013195,0.0011692023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020232826,0.00014631562,0.0030808244,0.00022097952,0.00011033881,0.0004942341,0.0007590208,0.43895084,0.07433237,0.023850745,0.004680549,0.4531714],"study_design_scores_gemma":[0.000011427206,0.000039005547,0.00048415767,0.000012092254,0.000009542007,0.00011497401,0.000073239746,0.9779911,0.013245113,0.0053777634,0.002623498,0.00001810097],"about_ca_topic_score_codex":0.0028533523,"about_ca_topic_score_gemma":0.0048846244,"teacher_disagreement_score":0.0028533523,"about_ca_system_score_codex":0.0005536402,"about_ca_system_score_gemma":0.0010375674,"threshold_uncertainty_score":0.008402526},"labels":[],"label_agreement":null},{"id":"W1990345222","doi":"10.1145/2366145.2366157","title":"Acquiring 3D indoor environments with variability and repetition","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":182,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Seventh Framework Programme; National Science Foundation","keywords":"Computer science; Robustness (evolution); Exploit; Scanner; Artificial intelligence; Mobile device; Computer vision","score_opus":0.00977535615517298,"score_gpt":0.1928155461853541,"score_spread":0.18304019003018113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990345222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25032273,0.00023098697,0.74378693,0.00015057066,0.00003599662,0.000066020344,0.00033885008,0.0028545184,0.0022134068],"genre_scores_gemma":[0.7572498,0.00023827066,0.24036372,0.00009000129,0.00003180525,0.00005954023,0.00070071255,0.0002030459,0.001063136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927634,0.000098963304,0.000021851323,0.00019251542,0.00033362772,0.00007668463],"domain_scores_gemma":[0.9986621,0.0004524043,0.00015221836,0.0005283778,0.00014916847,0.00005561105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004404175,0.00066262827,0.00072641973,0.0005714464,0.00029011437,0.00079836085,0.00091734325,0.0007669543,0.00093999034],"category_scores_gemma":[0.0023074162,0.0006554624,0.0006308453,0.00089991017,0.0007230069,0.0009181883,0.0014406376,0.0007821144,0.0007389787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037126063,0.00020440953,0.01774072,0.00024271743,0.0001967977,0.00114124,0.000624868,0.36277825,0.26693517,0.0022097358,0.002712622,0.34484217],"study_design_scores_gemma":[0.000019627212,0.00023271631,0.027826386,0.000024049596,0.00004959766,0.003113315,0.00029461307,0.8846211,0.07566788,0.0035710025,0.0044768667,0.00010293637],"about_ca_topic_score_codex":0.0020002895,"about_ca_topic_score_gemma":0.0054736366,"teacher_disagreement_score":0.0020002895,"about_ca_system_score_codex":0.00023988576,"about_ca_system_score_gemma":0.00043827447,"threshold_uncertainty_score":0.003977239},"labels":[],"label_agreement":null},{"id":"W1990918627","doi":"10.1145/2797136","title":"Efficient and Accurate Spherical Kernel Integrals Using Isotropic Decomposition","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Microsoft (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Isotropy; Spherical harmonics; Rendering (computer graphics); Pixel; Computer science; Computer vision; Kernel (algebra); Artificial intelligence; Photometric stereo; Algorithm; Mathematics; Geometry; Optics; Mathematical analysis; Image (mathematics); Physics","score_opus":0.058100887478483014,"score_gpt":0.3393118462686044,"score_spread":0.28121095879012137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990918627","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034272287,0.000054508433,0.99350834,0.00004051731,0.000014888025,0.000013351931,0.00005138527,0.0009809708,0.0019087521],"genre_scores_gemma":[0.116106495,0.0002787525,0.8772686,0.000057373767,0.000034298053,0.00006165048,0.0005022678,0.0013576901,0.004332919],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923205,0.000092292204,0.000033763896,0.00004991442,0.00052640506,0.00006561152],"domain_scores_gemma":[0.9987802,0.00034945528,0.00006490762,0.00031969493,0.0004187095,0.00006704289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081506453,0.0010197574,0.00095969706,0.0010731345,0.00037976395,0.0018682034,0.0009941449,0.00074783876,0.005072682],"category_scores_gemma":[0.00342219,0.00046516853,0.0009481546,0.0012350989,0.00048735767,0.0014509355,0.0012993327,0.0013271468,0.0040754257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020995077,0.00013114387,0.0011147956,0.000254814,0.000080908496,0.00022752893,0.00039303314,0.3584458,0.06356343,0.14716282,0.016000712,0.4124151],"study_design_scores_gemma":[0.000010786514,0.000012524061,0.00010053969,0.000007267855,0.0000056658496,0.000055686676,0.000031194228,0.9786226,0.006336997,0.010486248,0.004319225,0.000011328517],"about_ca_topic_score_codex":0.0038510845,"about_ca_topic_score_gemma":0.006053389,"teacher_disagreement_score":0.005072682,"about_ca_system_score_codex":0.0007461939,"about_ca_system_score_gemma":0.001306615,"threshold_uncertainty_score":0.0169698},"labels":[],"label_agreement":null},{"id":"W1990932462","doi":"10.1145/1778765.1778865","title":"Sampling-based contact-rich motion control","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Trajectory; Computer science; Retargeting; Sampling (signal processing); Motion (physics); Motion capture; Exploit; Task (project management); Motion control; Set (abstract data type); Measure (data warehouse); Computer vision; Artificial intelligence; Algorithm; Engineering; Robot; Data mining","score_opus":0.0172836487027896,"score_gpt":0.23817053998144816,"score_spread":0.22088689127865857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990932462","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018262886,0.00006458535,0.9797544,0.000040025352,0.000019513811,0.000036144615,0.000025747819,0.0007986111,0.0009981458],"genre_scores_gemma":[0.7310797,0.00013066342,0.2659209,0.00006820522,0.000029427727,0.0001328415,0.0001599542,0.00022910962,0.0022492371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996146,0.0000768772,0.000017789413,0.00008553735,0.00016622191,0.00003898181],"domain_scores_gemma":[0.9993575,0.00023169084,0.00006707755,0.00019950858,0.000101280704,0.000042938722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055089116,0.00053899956,0.000740609,0.00037587783,0.00031159224,0.00055378774,0.0011139574,0.00045778064,0.0019538808],"category_scores_gemma":[0.0021868162,0.00033333438,0.00034615048,0.00027748808,0.0007171079,0.0007260916,0.0009661696,0.00059578253,0.0003433728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004048473,0.00012614457,0.0011463308,0.00013295164,0.000045125467,0.00011148432,0.0002902104,0.75334,0.048113737,0.017449083,0.0018847567,0.17695543],"study_design_scores_gemma":[0.0000129446225,0.000034848472,0.0001596981,0.0000038293324,0.0000031938569,0.000020736703,0.000009882238,0.9931612,0.0040522763,0.0018340682,0.000700965,0.0000063625403],"about_ca_topic_score_codex":0.0028985913,"about_ca_topic_score_gemma":0.0033874724,"teacher_disagreement_score":0.0028985913,"about_ca_system_score_codex":0.0004229024,"about_ca_system_score_gemma":0.0005526269,"threshold_uncertainty_score":0.0065363646},"labels":[],"label_agreement":null},{"id":"W1991543494","doi":"10.1145/2766982","title":"Restoring the missing vorticity in advection-projection fluid solvers","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Advection; Vorticity; Vorticity equation; Vortex stretching; Vortex; Projection method; Applied mathematics; Mathematics; Classical mechanics; Mechanics; Physics; Geometry","score_opus":0.06964395007814818,"score_gpt":0.3180276046051442,"score_spread":0.248383654526996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991543494","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047225893,0.00034797555,0.9461552,0.00023277373,0.00012223015,0.000043164026,0.00007641064,0.0017977904,0.003998625],"genre_scores_gemma":[0.54193324,0.00037616465,0.44995266,0.00021056048,0.0000703853,0.00015461356,0.0002090892,0.0010862183,0.0060071493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947804,0.000100539546,0.00002706362,0.000057806516,0.00027448067,0.000062108185],"domain_scores_gemma":[0.9991899,0.00035315903,0.00008907799,0.00015473347,0.00014608448,0.00006711864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087134243,0.00070088083,0.00070139463,0.0005925001,0.00054489996,0.0013113325,0.001119592,0.0009809892,0.0020040637],"category_scores_gemma":[0.0037360413,0.0005928337,0.00047856543,0.0005116767,0.0012202843,0.0018274765,0.0025677397,0.0016928166,0.00061548414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038251292,0.00019773835,0.0036253089,0.00043986004,0.000106273495,0.0004827035,0.00095387996,0.5910546,0.06890307,0.1516951,0.005521116,0.17663781],"study_design_scores_gemma":[0.00004224186,0.000049093047,0.00023142314,0.000023592827,0.00000918254,0.000095842806,0.000041497937,0.9555644,0.01648419,0.022859244,0.004579103,0.000020160644],"about_ca_topic_score_codex":0.0021916535,"about_ca_topic_score_gemma":0.0020015608,"teacher_disagreement_score":0.0021916535,"about_ca_system_score_codex":0.00046841937,"about_ca_system_score_gemma":0.0008427311,"threshold_uncertainty_score":0.0067042112},"labels":[],"label_agreement":null},{"id":"W1991925284","doi":"10.1145/502783.502785","title":"On numerical solutions to one-dimensional integration problems with applications to linear light sources","year":2001,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Numerical integration; Gaussian quadrature; Numerical analysis; Computer science; Rendering (computer graphics); Computation; Computer graphics; Monte Carlo integration; Graphics; Quadrature (astronomy); Global illumination; Algorithm; Applied mathematics; Monte Carlo method; Mathematical optimization; Mathematics; Nyström method; Integral equation; Artificial intelligence; Computer graphics (images); Mathematical analysis; Statistics","score_opus":0.02391120262474375,"score_gpt":0.26435573637576515,"score_spread":0.2404445337510214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991925284","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059274463,0.004815332,0.97742975,0.0005818337,0.000120004224,0.000082044426,0.000019485307,0.00015609601,0.010868028],"genre_scores_gemma":[0.15433891,0.012088966,0.8252227,0.00043511204,0.00039407666,0.00029343006,0.00009561581,0.00032350744,0.0068076965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851996,0.0006224961,0.00007180705,0.00008750889,0.0006314764,0.00006674788],"domain_scores_gemma":[0.990026,0.008295759,0.0004139693,0.00034002226,0.000832895,0.000091306574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034807886,0.0011350386,0.00092332356,0.0019448339,0.0008769296,0.0017131208,0.0010709092,0.0015924658,0.0032108678],"category_scores_gemma":[0.01810073,0.00047508653,0.000972809,0.0023868845,0.002809628,0.001886014,0.0020484505,0.0023552442,0.00080268225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006210935,0.000090741916,0.000977355,0.0006887174,0.000042683594,0.00013769408,0.00050352665,0.39310634,0.0043553,0.48694584,0.002479774,0.110609934],"study_design_scores_gemma":[0.000014821225,0.000044451564,0.00019999934,0.00013778644,0.00000921126,0.00009873191,0.00005738187,0.8807962,0.0014404334,0.11037812,0.0068008495,0.00002204585],"about_ca_topic_score_codex":0.0022771389,"about_ca_topic_score_gemma":0.0014661778,"teacher_disagreement_score":0.0034807886,"about_ca_system_score_codex":0.0010871389,"about_ca_system_score_gemma":0.0011781618,"threshold_uncertainty_score":0.018408418},"labels":[],"label_agreement":null},{"id":"W1992855374","doi":"10.1145/1531326.1531377","title":"Curve skeleton extraction from incomplete point cloud","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":253,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Point cloud; Skeleton (computer programming); Computer science; Point (geometry); Topological skeleton; Algorithm; Computation; Planar; Iterative closest point; Set (abstract data type); Symmetry (geometry); Rigid transformation; Mathematics; Geometry; Artificial intelligence; Segmentation; Active shape model; Computer graphics (images)","score_opus":0.017522156993774598,"score_gpt":0.2424222738253163,"score_spread":0.2249001168315417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992855374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005275796,0.00003662652,0.99339384,0.000032605858,0.000010719793,0.000031088523,0.000106776395,0.00084439944,0.00026808973],"genre_scores_gemma":[0.05730146,0.00014451623,0.9399208,0.00002186547,0.00001892815,0.00008047253,0.0011903071,0.00027759172,0.0010440345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880254,0.000068291396,0.0000633985,0.00022299335,0.0007503412,0.00009244118],"domain_scores_gemma":[0.99779886,0.00044230098,0.00027578126,0.00066909957,0.00070683606,0.00010705307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010091797,0.0010150669,0.0015764439,0.0032742212,0.00074683846,0.0014489879,0.0016691994,0.0014032812,0.0024811765],"category_scores_gemma":[0.00442916,0.0010389036,0.0014064882,0.0025989509,0.00090979727,0.002051132,0.002425732,0.0021444315,0.0021362556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018384952,0.00009073505,0.0023683258,0.00024912754,0.00008406864,0.0005383298,0.00030944694,0.19676872,0.06626742,0.020628551,0.007504377,0.7050071],"study_design_scores_gemma":[0.0000119519,0.000041123018,0.00079261366,0.000017342976,0.000013394228,0.0002828489,0.000056354496,0.95916384,0.021454366,0.012222376,0.005913312,0.000030614377],"about_ca_topic_score_codex":0.0036237782,"about_ca_topic_score_gemma":0.00464942,"teacher_disagreement_score":0.0036237782,"about_ca_system_score_codex":0.00066238706,"about_ca_system_score_gemma":0.0020356006,"threshold_uncertainty_score":0.008300304},"labels":[],"label_agreement":null},{"id":"W1993906043","doi":"10.1145/1899404.1899409","title":"A comprehensive theory of volumetric radiance estimation using photon points and beams","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Division of Computing and Communication Foundations","keywords":"Radiance; Rendering (computer graphics); Computer science; Photon; Global illumination; Computation; Representation (politics); Computer vision; Optics; Computer graphics (images); Physics; Algorithm","score_opus":0.06347012510773041,"score_gpt":0.28972556070356803,"score_spread":0.2262554355958376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993906043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041957444,0.00011841065,0.9985567,0.000035136436,0.000012479295,0.000010796944,0.000027610904,0.00008588971,0.000733472],"genre_scores_gemma":[0.085793905,0.0023413922,0.90556633,0.00019513055,0.00025035883,0.0002103694,0.00030739076,0.00046001843,0.004875085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846256,0.00025568655,0.00007258505,0.00020953362,0.00089131185,0.000108335764],"domain_scores_gemma":[0.9983948,0.0007195673,0.00013358059,0.00033954752,0.000350281,0.00006223376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015399554,0.0013300439,0.0014206256,0.0023916946,0.00069349736,0.0037585925,0.0026679311,0.001390164,0.004194597],"category_scores_gemma":[0.004644733,0.0011963169,0.0020539898,0.0020595402,0.0015958657,0.0050392784,0.0029805694,0.0036370684,0.0014089838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052745596,0.000051398252,0.00053696707,0.00027303278,0.000060754985,0.00014863715,0.00029351146,0.22928135,0.012502444,0.6094673,0.005129124,0.14220266],"study_design_scores_gemma":[0.000010620733,0.000044572495,0.00022415334,0.00007181103,0.000030101159,0.00025009405,0.000050805615,0.8046383,0.00913761,0.17021845,0.015252481,0.00007103623],"about_ca_topic_score_codex":0.0022512793,"about_ca_topic_score_gemma":0.0014920635,"teacher_disagreement_score":0.004194597,"about_ca_system_score_codex":0.0013565775,"about_ca_system_score_gemma":0.001017125,"threshold_uncertainty_score":0.014032304},"labels":[],"label_agreement":null},{"id":"W1994232247","doi":"10.1145/1618452.1618484","title":"Partial intrinsic reflectional symmetry of 3D shapes","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Microsoft Research","keywords":"Reflection symmetry; Homogeneous space; Symmetry (geometry); Rotational symmetry; Mathematics; Computer science; Topology (electrical circuits); Geometry; Algorithm; Combinatorics","score_opus":0.018875937171367756,"score_gpt":0.2491213385715591,"score_spread":0.23024540140019134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994232247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054865275,0.00006229986,0.9425006,0.000048923703,0.000010523977,0.000054782227,0.000073270305,0.0006793281,0.0017050087],"genre_scores_gemma":[0.5244244,0.00014693709,0.47328272,0.000032671298,0.000023274048,0.000069047695,0.00031792745,0.00037631666,0.0013267852],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993395,0.00010346334,0.000034928154,0.00012593198,0.00033431035,0.000061892526],"domain_scores_gemma":[0.9986588,0.00030715473,0.00020282238,0.00050816406,0.0002716456,0.000051403207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007711386,0.0005873574,0.0006486415,0.0013266552,0.0002890696,0.0011941617,0.00086533517,0.0005164411,0.0019750672],"category_scores_gemma":[0.0032027953,0.00044592647,0.00091554574,0.0006710476,0.0009839832,0.0012197456,0.0011746096,0.0008901983,0.0007720469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003253733,0.000058091937,0.004812268,0.0002594745,0.00006807575,0.0003362163,0.0006312063,0.13767353,0.29357564,0.05829066,0.0015721245,0.5023974],"study_design_scores_gemma":[0.000019138055,0.00017103905,0.0044309422,0.000031674124,0.00002767526,0.0008065567,0.00017679352,0.850048,0.10856996,0.02986803,0.005799864,0.000050292154],"about_ca_topic_score_codex":0.00061582925,"about_ca_topic_score_gemma":0.0008400889,"teacher_disagreement_score":0.0019750672,"about_ca_system_score_codex":0.0003379253,"about_ca_system_score_gemma":0.00059090834,"threshold_uncertainty_score":0.0066072345},"labels":[],"label_agreement":null},{"id":"W1994256210","doi":"10.1145/2766942","title":"Simulating rigid body fracture with surface meshes","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Linear elasticity; Boundary (topology); Robustness (evolution); Rigid body; Computer science; Mathematics; Geometry; Mathematical analysis; Finite element method; Structural engineering; Physics; Classical mechanics","score_opus":0.015626813469539636,"score_gpt":0.24044518759999475,"score_spread":0.2248183741304551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994256210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041892063,0.00007728104,0.9517724,0.00011893239,0.00007488035,0.000037046517,0.000081678925,0.0010218824,0.004923848],"genre_scores_gemma":[0.6047983,0.00020150714,0.3879672,0.00010225041,0.000039065468,0.00016700733,0.00028090223,0.00064323115,0.005800478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996401,0.00005927892,0.000014914084,0.000037057824,0.00020874976,0.000039921713],"domain_scores_gemma":[0.99952865,0.00021793037,0.0000335358,0.00010190062,0.00008471215,0.000033387765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036572854,0.0004101334,0.00049800274,0.0005317096,0.0004083087,0.00087725214,0.0014095299,0.0013624603,0.0028675103],"category_scores_gemma":[0.0014781351,0.00036249898,0.00087812735,0.00041873462,0.00085678644,0.00092326594,0.0012492947,0.00091132463,0.00059079344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032953525,0.000033488657,0.0005819478,0.000036894053,0.000019128158,0.00011840161,0.00012635931,0.94904494,0.011721643,0.017593559,0.0007546242,0.019936098],"study_design_scores_gemma":[0.000004515363,0.0000060801603,0.00004886429,0.00000191669,0.0000011644753,0.00001665377,0.000006821637,0.99509925,0.001210689,0.0028323766,0.00076759746,0.000004081758],"about_ca_topic_score_codex":0.003141105,"about_ca_topic_score_gemma":0.0022920063,"teacher_disagreement_score":0.003141105,"about_ca_system_score_codex":0.00051648833,"about_ca_system_score_gemma":0.0005595176,"threshold_uncertainty_score":0.009592831},"labels":[],"label_agreement":null},{"id":"W1994607523","doi":"10.1145/2661229.2661246","title":"Toward BxDF display using multilayer diffraction","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Division of Information and Intelligent Systems; China Scholarship Council; Massachusetts Institute of Technology","keywords":"Computer science; Radiance; Computer graphics (images); Range (aeronautics); Graphics; Fabrication; Diffraction; Computer graphics; Optics; Physics; Materials science","score_opus":0.03278026008716923,"score_gpt":0.2677616927948996,"score_spread":0.23498143270773036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994607523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14712884,0.002101059,0.82221055,0.0005445698,0.00010391096,0.000054538446,0.00019148839,0.001125075,0.026539924],"genre_scores_gemma":[0.5337666,0.0022751861,0.45905384,0.00017548828,0.000045984507,0.000078847595,0.00015771587,0.00013519853,0.0043110996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997372,0.000039459464,0.000013548872,0.000034624,0.00014334892,0.000031791442],"domain_scores_gemma":[0.9997855,0.00006967017,0.000036573118,0.00005241276,0.000041725132,0.000014192241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028268094,0.00049905485,0.00034316242,0.0003753303,0.00024473373,0.0012429398,0.00042602487,0.0005993119,0.0010321357],"category_scores_gemma":[0.00062342366,0.00027850454,0.000433598,0.00036513843,0.0005472544,0.00085657334,0.00094147294,0.0008742244,0.00052428216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006435909,0.000046991776,0.0008349493,0.00029061624,0.000023047995,0.000258121,0.00027431254,0.029787054,0.8413468,0.075295925,0.0013042289,0.050473474],"study_design_scores_gemma":[0.000037723123,0.00021115808,0.0010685929,0.00010514461,0.000026765621,0.001114446,0.00010938452,0.33604145,0.59845597,0.028627504,0.034133267,0.00006860335],"about_ca_topic_score_codex":0.0004552831,"about_ca_topic_score_gemma":0.00053260307,"teacher_disagreement_score":0.0012429398,"about_ca_system_score_codex":0.000537188,"about_ca_system_score_gemma":0.00028322588,"threshold_uncertainty_score":0.0038976073},"labels":[],"label_agreement":null},{"id":"W1994791189","doi":"10.1145/2601097.2601219","title":"Unifying points, beams, and paths in volumetric light transport simulation","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Grantová Agentura, Univerzita Karlova; Grantová Agentura České Republiky; Univerzita Karlova v Praze","keywords":"Rendering (computer graphics); Estimator; Computer science; Monte Carlo method; Global illumination; Importance sampling; Path tracing; Algorithm; Computation; Mathematical optimization; Computer graphics (images); Mathematics","score_opus":0.019999346074632485,"score_gpt":0.27490203199094954,"score_spread":0.25490268591631704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994791189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009180666,0.00004098637,0.99003476,0.000056931734,0.000009689786,0.00002919896,0.000012703998,0.00015859274,0.00047644842],"genre_scores_gemma":[0.34099257,0.00027074714,0.65660226,0.000088440785,0.000032823766,0.00019253681,0.000077016375,0.00028914973,0.0014544735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925655,0.00024035465,0.000034158464,0.00006565413,0.00032612192,0.00007710675],"domain_scores_gemma":[0.9985421,0.00090010813,0.00011734177,0.0001690745,0.00019778655,0.000073505784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002183376,0.00059065246,0.0007942538,0.00087901135,0.00046785976,0.0016611542,0.0013347104,0.0013409939,0.00086299045],"category_scores_gemma":[0.006821515,0.0006573046,0.0007902029,0.0006761337,0.0015341443,0.0022034957,0.0022552493,0.0014931721,0.0003173835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064943364,0.000036963687,0.00077033247,0.00003050969,0.000010567453,0.00005634908,0.00019651637,0.9058339,0.0059373295,0.056915294,0.00024642047,0.029900847],"study_design_scores_gemma":[0.000005920992,0.000007875755,0.000038367536,0.0000037478876,0.0000019126242,0.0000095742635,0.00000825924,0.9900193,0.001160891,0.008316818,0.0004209319,0.000006317294],"about_ca_topic_score_codex":0.0073395465,"about_ca_topic_score_gemma":0.005873137,"teacher_disagreement_score":0.0073395465,"about_ca_system_score_codex":0.0011821853,"about_ca_system_score_gemma":0.0014529147,"threshold_uncertainty_score":0.014593661},"labels":[],"label_agreement":null},{"id":"W1995382327","doi":"10.1145/2816795.2818069","title":"Interactive design of probability density functions for shape grammars","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Procedural modeling; Rule-based machine translation; Artificial intelligence; Human–computer interaction","score_opus":0.10300382211957822,"score_gpt":0.3168682003687014,"score_spread":0.2138643782491232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995382327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037837254,0.00001931763,0.99410444,0.00005200204,0.0000072611465,0.00003333232,0.000045176104,0.0014586941,0.00049605605],"genre_scores_gemma":[0.22121064,0.00009165602,0.7747031,0.00014514424,0.000016232492,0.00044723134,0.00028082644,0.0015088337,0.0015963026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982925,0.00078659604,0.00009396467,0.0002673103,0.0004549331,0.00010461914],"domain_scores_gemma":[0.99093443,0.0072427676,0.0002311315,0.0007694431,0.00062229147,0.00019987053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004631452,0.0014084091,0.0008246314,0.0014839019,0.0005790692,0.0020947403,0.00214608,0.0019577108,0.006379096],"category_scores_gemma":[0.023447929,0.001070285,0.0017726752,0.0007371085,0.001246879,0.0026662988,0.002906224,0.0017248244,0.0013962775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031082588,0.00022551429,0.0032275459,0.00030397373,0.000080459686,0.00057530333,0.00176778,0.65828437,0.017817194,0.12646566,0.0070200046,0.18392137],"study_design_scores_gemma":[0.000021330403,0.000017672195,0.00010298379,0.000011864234,0.0000053220992,0.00006608112,0.000034168424,0.9718598,0.0027762472,0.022934187,0.0021565773,0.000013727204],"about_ca_topic_score_codex":0.0020130428,"about_ca_topic_score_gemma":0.0029307604,"teacher_disagreement_score":0.006379096,"about_ca_system_score_codex":0.0012540556,"about_ca_system_score_gemma":0.001003905,"threshold_uncertainty_score":0.024493694},"labels":[],"label_agreement":null},{"id":"W1995866471","doi":"10.1145/1618452.1618508","title":"Structure-aware error diffusion","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Halftone; Computer science; Diffusion; Artificial intelligence; Computer vision; Orientation (vector space); Contrast (vision); Pixel; Algorithm; Visualization; Human visual system model; Modulation (music); Spatial frequency; Image quality; Image (mathematics); Mathematics; Optics; Geometry; Acoustics","score_opus":0.014420155359560696,"score_gpt":0.27271394430647294,"score_spread":0.25829378894691224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995866471","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013842907,0.00031320492,0.9819519,0.0001330216,0.0001036002,0.000050810424,0.00007645544,0.0015605175,0.0019676725],"genre_scores_gemma":[0.14518431,0.00035845305,0.8430915,0.00013772206,0.0000675029,0.000069854,0.00022837394,0.0006466746,0.010215683],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999164,0.00007639653,0.00005343565,0.00018334511,0.00047447285,0.000048397014],"domain_scores_gemma":[0.99811196,0.00043784076,0.00014682043,0.00063875585,0.00060250354,0.00006204454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070312934,0.00093248766,0.0008511782,0.0009044032,0.00045375092,0.0012998453,0.0019114929,0.0013798488,0.004725363],"category_scores_gemma":[0.0039822985,0.0005844293,0.0008132794,0.0006709408,0.0005904132,0.0022379286,0.0018045221,0.0011917453,0.0016582839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037159008,0.00010529685,0.0008082153,0.00044769986,0.00009382066,0.00024460268,0.0004416783,0.059296377,0.37255216,0.028106932,0.004899461,0.53263223],"study_design_scores_gemma":[0.000058302347,0.00011914874,0.00067232555,0.000030680374,0.0000487205,0.0007298397,0.000039945164,0.6988974,0.26519233,0.01041268,0.023710368,0.00008819602],"about_ca_topic_score_codex":0.0012812092,"about_ca_topic_score_gemma":0.0013031451,"teacher_disagreement_score":0.004725363,"about_ca_system_score_codex":0.0006161351,"about_ca_system_score_gemma":0.0005222153,"threshold_uncertainty_score":0.015807927},"labels":[],"label_agreement":null},{"id":"W1996061517","doi":"10.1145/2508363.2508422","title":"Linear efficient antialiased displacement and reflectance mapping","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Agence Nationale de la Recherche","keywords":"Displacement mapping; Bidirectional reflectance distribution function; Computer science; Specular reflection; Texture mapping; Rendering (computer graphics); Computer vision; Computer graphics (images); Artificial intelligence; Projective texture mapping; Optics; Image processing; Image texture; Reflectivity; Image (mathematics)","score_opus":0.027001639733586966,"score_gpt":0.2881779371511691,"score_spread":0.2611762974175821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996061517","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011734466,0.00010513647,0.9839824,0.00005530552,0.000035025456,0.000020148178,0.00004185016,0.0017439513,0.0022817045],"genre_scores_gemma":[0.23599732,0.0002291239,0.7566053,0.000099093166,0.000041553623,0.00007971051,0.00020568015,0.0010637377,0.005678499],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967384,0.00003792054,0.000009021249,0.00004731121,0.00019082482,0.00004109164],"domain_scores_gemma":[0.9997365,0.000072507624,0.000025274303,0.0000854404,0.00006474252,0.000015547424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025468762,0.00085609354,0.00052224245,0.0006345541,0.0002506779,0.00089198473,0.00088172423,0.00047946058,0.0042755827],"category_scores_gemma":[0.0009991251,0.00037134066,0.0006293491,0.00045251055,0.0003757854,0.00097613543,0.0009999622,0.00071913574,0.0017377324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021575777,0.00011468779,0.0008898141,0.00023932914,0.000050053906,0.0002528169,0.00044912985,0.1841727,0.20264775,0.041829593,0.00668373,0.56245476],"study_design_scores_gemma":[0.000027586559,0.00006689654,0.0002985378,0.000013873959,0.0000110659685,0.00028215814,0.000048555838,0.91793734,0.059230477,0.009010562,0.01303895,0.00003410503],"about_ca_topic_score_codex":0.00121526,"about_ca_topic_score_gemma":0.0014898557,"teacher_disagreement_score":0.0042755827,"about_ca_system_score_codex":0.00030414725,"about_ca_system_score_gemma":0.00041296717,"threshold_uncertainty_score":0.014303267},"labels":[],"label_agreement":null},{"id":"W1996593518","doi":"10.1145/2661229.2661241","title":"Morfit","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University","funders":"Shenzhen Institutes of Advanced Technology Innovation Program for Excellent Young Researchers; Israel Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Surface (topology); Iterated function; Computer science; Surface reconstruction; Point (geometry); Algorithm; Operator (biology); Artificial intelligence; Computer vision; Topology (electrical circuits); Computer graphics (images); Mathematics; Geometry; Combinatorics; Mathematical analysis","score_opus":0.012693707943697586,"score_gpt":0.20791371809761797,"score_spread":0.19522001015392038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996593518","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008434946,0.0011805835,0.8769259,0.000627881,0.00072234625,0.00019576684,0.0043690284,0.06901981,0.0385237],"genre_scores_gemma":[0.12244584,0.0013994875,0.77099806,0.0012033151,0.00024743425,0.0008193869,0.019708194,0.035199616,0.04797864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984835,0.00016270104,0.00008636678,0.00025726858,0.000858616,0.00015142774],"domain_scores_gemma":[0.99869496,0.00045251453,0.00008964399,0.0003330262,0.000335059,0.000094869756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015546342,0.0016806562,0.0016962157,0.0018156914,0.001018045,0.0031577144,0.0042709894,0.0024337242,0.09034042],"category_scores_gemma":[0.005649934,0.001085739,0.0022954152,0.0014128395,0.00072074705,0.0024497188,0.0037634342,0.0026986443,0.034598],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005379993,0.00026744624,0.0038962418,0.0013871581,0.00037164107,0.00059793075,0.00061473314,0.06491503,0.016376993,0.063983016,0.255081,0.59197074],"study_design_scores_gemma":[0.0001725854,0.000188531,0.00129424,0.00022903318,0.00008378884,0.0010814691,0.0002989038,0.5197639,0.017812703,0.041362077,0.41753498,0.00017778015],"about_ca_topic_score_codex":0.0021462333,"about_ca_topic_score_gemma":0.004042846,"teacher_disagreement_score":0.09034042,"about_ca_system_score_codex":0.0005918832,"about_ca_system_score_gemma":0.0014183127,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1996598508","doi":"10.1145/2231816.2231819","title":"A theory of monte carlo visibility sampling","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Monte Carlo method; Slice sampling; Sampling (signal processing); Rendering (computer graphics); Computer science; Jitter; Algorithm; Visibility; Importance sampling; Monte Carlo integration; Hybrid Monte Carlo; Markov chain Monte Carlo; Mathematics; Statistics; Artificial intelligence; Computer vision; Optics; Filter (signal processing); Physics","score_opus":0.05741720719073967,"score_gpt":0.3217303885047345,"score_spread":0.26431318131399484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996598508","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030067125,0.00019127653,0.9933013,0.00013412423,0.0000386126,0.000032252992,0.00003482172,0.0001165007,0.0031444486],"genre_scores_gemma":[0.44011402,0.0013143218,0.5441368,0.00048761241,0.0005119939,0.000702858,0.0003427817,0.0005696118,0.011819951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976514,0.0008574445,0.00009915512,0.00030064493,0.0008829993,0.00020825303],"domain_scores_gemma":[0.9852883,0.011410385,0.0007049019,0.0011736096,0.0012112497,0.00021165697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004059457,0.00093550165,0.000973714,0.0016840285,0.0009023688,0.0025902241,0.0020972146,0.0017214409,0.005968012],"category_scores_gemma":[0.022166826,0.000933731,0.0015095731,0.0012572657,0.0027706374,0.003423989,0.001623858,0.002527055,0.00082915137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004149418,0.000027217422,0.0005685697,0.000093054165,0.000027443948,0.000072092495,0.00011321964,0.24232742,0.0011315595,0.7378911,0.0011146236,0.016592192],"study_design_scores_gemma":[0.00001112223,0.000020991101,0.00015130626,0.000029536213,0.000010556962,0.00007039159,0.000014822052,0.8400535,0.00067497994,0.15639646,0.0025482455,0.00001801876],"about_ca_topic_score_codex":0.003616754,"about_ca_topic_score_gemma":0.0021600854,"teacher_disagreement_score":0.005968012,"about_ca_system_score_codex":0.0024900485,"about_ca_system_score_gemma":0.0016265877,"threshold_uncertainty_score":0.021468759},"labels":[],"label_agreement":null},{"id":"W1998130497","doi":"10.1145/2366145.2366197","title":"Design-driven quadrangulation of closed 3D curves","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Polygon mesh; Quadrilateral; Sketch; Bounded function; Surface (topology); Computer science; Line (geometry); Flow (mathematics); Mathematics; Planar; Matching (statistics); Geometry; Topology (electrical circuits); Algorithm; Computer graphics (images); Mathematical analysis; Combinatorics","score_opus":0.04957798193866558,"score_gpt":0.305964264452569,"score_spread":0.25638628251390344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998130497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0143066,0.000036497433,0.982106,0.000046822533,0.000017560962,0.000052819647,0.000032242155,0.0007651376,0.0026364618],"genre_scores_gemma":[0.32810608,0.00014756063,0.66665685,0.00006526511,0.000013149351,0.00011437725,0.0001670084,0.00058236485,0.004147415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993808,0.000112542264,0.00002599111,0.00010896523,0.0003203714,0.00005131474],"domain_scores_gemma":[0.9991867,0.00024711242,0.00007614964,0.0002950241,0.00013376932,0.00006131167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006386745,0.0007078022,0.00054446206,0.0005866921,0.0003878952,0.0012066087,0.0013693202,0.0006526986,0.0039830813],"category_scores_gemma":[0.0022187415,0.00047829794,0.00060549687,0.00037548674,0.00091029715,0.0012917122,0.0018445143,0.0010045948,0.00080572616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024719685,0.00012968948,0.0019635535,0.00034464276,0.000049023125,0.00040183842,0.0011659793,0.5029488,0.12055899,0.09490928,0.003005588,0.27427533],"study_design_scores_gemma":[0.000024548894,0.00014744163,0.00026366636,0.000026840364,0.000010129733,0.00028323848,0.00010795871,0.9282656,0.035777327,0.017163355,0.017897686,0.000032213597],"about_ca_topic_score_codex":0.00086913136,"about_ca_topic_score_gemma":0.0012131348,"teacher_disagreement_score":0.0039830813,"about_ca_system_score_codex":0.00061209884,"about_ca_system_score_gemma":0.000531043,"threshold_uncertainty_score":0.013324738},"labels":[],"label_agreement":null},{"id":"W1998195206","doi":"10.1145/1944846.1944855","title":"Frame-based elastic models","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Seventh Framework Programme","keywords":"Skinning; Computer science; Degrees of freedom (physics and chemistry); Quaternion; Discretization; Finite element method; Animation; Displacement field; Classical mechanics; Computer vision; Artificial intelligence; Computer graphics (images); Geometry; Mathematics; Mathematical analysis; Physics; Mechanical engineering; Structural engineering; Engineering","score_opus":0.046038808307958624,"score_gpt":0.21183844164402724,"score_spread":0.16579963333606862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998195206","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005546495,0.00027499566,0.97328013,0.00017449989,0.00015812648,0.000046779514,0.00028247465,0.00038248132,0.019853907],"genre_scores_gemma":[0.39879435,0.0025804127,0.48827013,0.0004861786,0.00032170874,0.00046558693,0.0015015821,0.00084797485,0.106731966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969053,0.000047321297,0.000015883063,0.000061743216,0.0001511148,0.000033464872],"domain_scores_gemma":[0.99978775,0.000050643433,0.000031164796,0.000059040653,0.000049919843,0.00002147941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030500704,0.000765927,0.0006943253,0.0009632577,0.00049869984,0.0012598316,0.0018191498,0.0018867727,0.012023363],"category_scores_gemma":[0.0009230663,0.0005618182,0.0010786554,0.0007149057,0.00064361474,0.0017834574,0.0013581825,0.0010511726,0.003162593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004079755,0.000046368503,0.0002990299,0.00008211285,0.000032807933,0.0002197364,0.00011587479,0.6312887,0.009616087,0.31680927,0.0035403406,0.037908856],"study_design_scores_gemma":[0.0000100735715,0.00002078116,0.00009097169,0.000014187844,0.000010397733,0.000081278864,0.000014683277,0.9503887,0.0013393945,0.0301286,0.017884806,0.000016114709],"about_ca_topic_score_codex":0.0026534407,"about_ca_topic_score_gemma":0.0026920047,"teacher_disagreement_score":0.012023363,"about_ca_system_score_codex":0.0004467308,"about_ca_system_score_gemma":0.0004664121,"threshold_uncertainty_score":0.040222168},"labels":[],"label_agreement":null},{"id":"W1998257503","doi":"10.1145/1073204.1073276","title":"GoLD","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Université Laval","keywords":"Computer science; Rendering (computer graphics); Texture mapping; Computer graphics (images); Visualization; Subdivision; Artificial intelligence; Computer vision; Geography","score_opus":0.025424997333889823,"score_gpt":0.28843748599538827,"score_spread":0.26301248866149846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998257503","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066812607,0.003513172,0.056805234,0.0036998517,0.0037478888,0.00034525472,0.012455899,0.013861306,0.89889014],"genre_scores_gemma":[0.052181475,0.003537218,0.050192513,0.0025147877,0.0006550195,0.00034128194,0.027715458,0.0047878237,0.8580745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998684,0.00013443553,0.00008391414,0.00034502547,0.00058455335,0.00016802613],"domain_scores_gemma":[0.99907,0.000093325354,0.00004188274,0.0003588266,0.00032178202,0.00011421166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007678589,0.0010345343,0.0007959889,0.0023291525,0.0021718482,0.0042575514,0.0021507149,0.001850957,0.37104774],"category_scores_gemma":[0.002198148,0.0005857113,0.0008292845,0.0021334074,0.00060533587,0.0035874066,0.00464425,0.0015075024,0.2379045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025843686,0.000091398535,0.0017208148,0.00061554054,0.00004272319,0.00036891247,0.0004171276,0.0017790766,0.005154104,0.08129079,0.4200089,0.4882522],"study_design_scores_gemma":[0.000012719885,0.000018304252,0.00039285817,0.000064717264,0.000008905913,0.00019552412,0.0000836249,0.0007701427,0.0016176958,0.0058093406,0.99101186,0.00001441294],"about_ca_topic_score_codex":0.004191246,"about_ca_topic_score_gemma":0.0060286913,"teacher_disagreement_score":0.37104774,"about_ca_system_score_codex":0.0012461364,"about_ca_system_score_gemma":0.0015637379,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1999103409","doi":"10.1145/2816795.2818106","title":"An interactive tool for designing quadrotor camera shots","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Process (computing); Set (abstract data type); Motion capture; Artificial intelligence; Human–computer interaction; Computer vision; Computer graphics (images); Motion (physics)","score_opus":0.050902091866495386,"score_gpt":0.33968197546984014,"score_spread":0.2887798836033447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999103409","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011711973,0.00015183767,0.9644657,0.00008687912,0.00004300496,0.0003791989,0.00038676144,0.018254308,0.0045203525],"genre_scores_gemma":[0.08409304,0.00028869993,0.9042151,0.000107670116,0.000021982021,0.0006174425,0.00076336914,0.002742984,0.007149639],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935,0.00017999554,0.000073862764,0.00015516525,0.00018231747,0.000058709873],"domain_scores_gemma":[0.99598384,0.0029547983,0.00015360197,0.00036716321,0.00029813944,0.0002424217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012468225,0.0018489063,0.0005753491,0.0013342128,0.0004662866,0.0013577234,0.0017191062,0.0011162944,0.015711833],"category_scores_gemma":[0.006385349,0.0008516901,0.00081406644,0.00044439602,0.00067394704,0.0019255631,0.0019273941,0.000912429,0.0025259277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010878486,0.000675444,0.0038974092,0.0030384825,0.00014071174,0.0036559282,0.012661884,0.022667201,0.21017933,0.03130724,0.04411643,0.6665721],"study_design_scores_gemma":[0.0005224101,0.001109085,0.0054535316,0.0012021845,0.00022104375,0.006417578,0.0037185138,0.27067703,0.12138208,0.02595839,0.56290185,0.00043624447],"about_ca_topic_score_codex":0.00057205587,"about_ca_topic_score_gemma":0.0011258879,"teacher_disagreement_score":0.015711833,"about_ca_system_score_codex":0.00039555292,"about_ca_system_score_gemma":0.0005674963,"threshold_uncertainty_score":0.052561343},"labels":[],"label_agreement":null},{"id":"W1999295580","doi":"10.1145/2185520.2185595","title":"<i>Interactive images</i>","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and Technology of the People's Republic of China; Seventh Framework Programme; National Natural Science Foundation of China","keywords":"Computer science; Cuboid; Range (aeronautics); Context (archaeology); Coplanarity; Parallelism (grammar); Computer vision; Simple (philosophy); Image (mathematics); Artificial intelligence; Computer graphics (images); Human–computer interaction; Mathematics","score_opus":0.01864323957407022,"score_gpt":0.2889226063234254,"score_spread":0.2702793667493552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999295580","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028966423,0.0008172443,0.8379292,0.001203224,0.0003958423,0.00037143234,0.0032801414,0.0586743,0.06836216],"genre_scores_gemma":[0.3120783,0.0012199802,0.6395624,0.0015919176,0.0003183102,0.00039123592,0.004313595,0.008990308,0.031533852],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997284,0.000052412466,0.000019277388,0.00006171888,0.0001019869,0.000036129113],"domain_scores_gemma":[0.9990734,0.00024155666,0.000047683458,0.00043176571,0.00013125807,0.00007441337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003541604,0.0007880053,0.00042217228,0.00052834366,0.00044872158,0.0018907342,0.0014354502,0.0012521179,0.040966813],"category_scores_gemma":[0.002156412,0.0004141329,0.00043085724,0.0005177566,0.0008389693,0.0015555195,0.0025475298,0.00068122044,0.009069802],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009958015,0.00016334851,0.002341527,0.0013316378,0.00010933555,0.002207226,0.0014551667,0.005683668,0.32591316,0.052723818,0.1814925,0.42558283],"study_design_scores_gemma":[0.000078169156,0.00019376281,0.0040372047,0.00030330638,0.000080614525,0.005016258,0.0005225488,0.054110836,0.24553715,0.018526826,0.6714426,0.00015073162],"about_ca_topic_score_codex":0.0008570771,"about_ca_topic_score_gemma":0.002046614,"teacher_disagreement_score":0.040966813,"about_ca_system_score_codex":0.00023134271,"about_ca_system_score_gemma":0.00019124759,"threshold_uncertainty_score":0.13704765},"labels":[],"label_agreement":null},{"id":"W1999888586","doi":"10.1145/2767003","title":"Double bubbles sans toil and trouble","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Intel Corporation; Adobe Systems; National Science Foundation","keywords":"Soap bubble; Surface tension; Curvature; Soap film; Bubble; Discretization; Mechanics; Physics; Geometry; Mathematics; Mathematical analysis","score_opus":0.054151415857647794,"score_gpt":0.30213807900992234,"score_spread":0.24798666315227455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999888586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14515038,0.009890616,0.6464943,0.014744158,0.0060558366,0.00016663123,0.0009812083,0.008856549,0.16766024],"genre_scores_gemma":[0.70085955,0.0031003642,0.18991491,0.0017977121,0.00077478506,0.00013761266,0.00068260235,0.0032485002,0.09948398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995914,0.00006832956,0.000022318449,0.00007863537,0.00018921841,0.00005010481],"domain_scores_gemma":[0.99878615,0.00039510906,0.00009875584,0.00026438467,0.0002781139,0.00017758684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053407653,0.0006460937,0.00056552736,0.0007684449,0.0012024066,0.0020710544,0.00069495355,0.001271123,0.015891964],"category_scores_gemma":[0.004277504,0.00045855783,0.0005074319,0.0003270931,0.0016791672,0.003254613,0.0026221254,0.0018052765,0.0031138994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005171257,0.00006901344,0.0058377865,0.0005969617,0.000059354632,0.0019802272,0.002804637,0.036020868,0.026429098,0.5967282,0.06341056,0.26554626],"study_design_scores_gemma":[0.00008035508,0.00016010614,0.0013805177,0.00033832912,0.000044777084,0.0020773127,0.0013479837,0.19474275,0.020953966,0.24692026,0.53182584,0.00012788571],"about_ca_topic_score_codex":0.0020718458,"about_ca_topic_score_gemma":0.0032237421,"teacher_disagreement_score":0.015891964,"about_ca_system_score_codex":0.0005252333,"about_ca_system_score_gemma":0.00051313924,"threshold_uncertainty_score":0.053163946},"labels":[],"label_agreement":null},{"id":"W2000391612","doi":"10.1145/2601097.2601102","title":"Topology-varying 3D shape creation via structural blending","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Merge (version control); Topology (electrical circuits); Computer science; Topological skeleton; Shape analysis (program analysis); Graph; Mathematics; Active shape model; Theoretical computer science; Artificial intelligence; Segmentation","score_opus":0.012968518391943669,"score_gpt":0.2382034063641585,"score_spread":0.22523488797221483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000391612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009974372,0.000053684682,0.9871066,0.00003649136,0.00001975256,0.000034924527,0.000028361344,0.001099652,0.0016461143],"genre_scores_gemma":[0.17137249,0.00012213092,0.82548684,0.000049885086,0.000013868504,0.000088468085,0.00015334741,0.00059451367,0.002118547],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953973,0.000046313962,0.000021441752,0.00011026206,0.00024340439,0.000038873794],"domain_scores_gemma":[0.9995189,0.00015195674,0.000046437453,0.00017978199,0.00005692387,0.000046031975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057029043,0.0007948061,0.00067508226,0.001057017,0.00058562594,0.0015497664,0.0016797244,0.0009624555,0.005233596],"category_scores_gemma":[0.0013062746,0.0007086975,0.0012337662,0.00086072145,0.0010842883,0.0017535374,0.0030338992,0.001236343,0.0013889254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025744134,0.00015141962,0.0015048948,0.0002622099,0.00011271228,0.0005078686,0.00093745644,0.26899847,0.18453223,0.07325422,0.0031221171,0.46635887],"study_design_scores_gemma":[0.000031111358,0.00009199321,0.00021581071,0.000017169661,0.000024465135,0.0004667169,0.00008462237,0.91183627,0.048170347,0.023643337,0.015378015,0.000040249342],"about_ca_topic_score_codex":0.0005036768,"about_ca_topic_score_gemma":0.00090006075,"teacher_disagreement_score":0.005233596,"about_ca_system_score_codex":0.000491296,"about_ca_system_score_gemma":0.00031062827,"threshold_uncertainty_score":0.01750809},"labels":[],"label_agreement":null},{"id":"W2002065381","doi":"10.1145/2461912.2461954","title":"Qualitative organization of collections of shapes via quartet analysis","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Israel Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; Tsinghua University; National Natural Science Foundation of China","keywords":"Categorization; Computer science; Tree (set theory); Shape analysis (program analysis); Ground truth; Artificial intelligence; Pattern recognition (psychology); Data mining; Mathematics; Combinatorics; Static analysis","score_opus":0.02369752475026613,"score_gpt":0.29606623239100777,"score_spread":0.2723687076407416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002065381","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054024823,0.00023037997,0.93931144,0.00012923268,0.000024555518,0.00012741865,0.0005156877,0.0012552388,0.0043812017],"genre_scores_gemma":[0.4123199,0.00032604087,0.58217883,0.00007415006,0.000046725516,0.0002712903,0.0014190974,0.00050937716,0.0028546136],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883574,0.0001558206,0.000081043756,0.00028662418,0.00050940487,0.00013136659],"domain_scores_gemma":[0.9958477,0.0013930525,0.0005976311,0.0009537975,0.00096287194,0.00024493955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010136589,0.0005358745,0.0007021684,0.0064807558,0.0011291966,0.0033828057,0.0010065861,0.00064990536,0.005125664],"category_scores_gemma":[0.0052215667,0.0006143112,0.0010500951,0.0047176187,0.0016323024,0.0037671616,0.0025292868,0.0011927475,0.001110223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005418062,0.00020330952,0.019891927,0.0012465924,0.00014775251,0.00085272314,0.008115383,0.099921405,0.103524506,0.20173678,0.0077464674,0.5560714],"study_design_scores_gemma":[0.000048712143,0.00023460812,0.017632054,0.00018345503,0.00008200955,0.001302298,0.0032369269,0.61393464,0.033158883,0.2939496,0.03603425,0.00020261221],"about_ca_topic_score_codex":0.002124865,"about_ca_topic_score_gemma":0.0026719423,"teacher_disagreement_score":0.0064807558,"about_ca_system_score_codex":0.00091453316,"about_ca_system_score_gemma":0.0007665977,"threshold_uncertainty_score":0.017147064},"labels":[],"label_agreement":null},{"id":"W2003940193","doi":"10.1145/2366145.2366184","title":"Active co-analysis of a set of shapes","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":264,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Set (abstract data type); Computer science; Semantics (computer science); Cluster analysis; Feature (linguistics); Artificial intelligence; Space (punctuation); Algorithm; Pattern recognition (psychology)","score_opus":0.047092494384777195,"score_gpt":0.31763540775057597,"score_spread":0.2705429133657988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003940193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017308326,0.00010429738,0.9794462,0.00016660111,0.000031717147,0.00008450344,0.000088051034,0.0008476277,0.0019225943],"genre_scores_gemma":[0.38835856,0.00019429301,0.60460776,0.00015888205,0.00006983669,0.0002875453,0.0005954518,0.0007321092,0.00499553],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962353,0.0006159313,0.00014486318,0.0011963507,0.0015559073,0.00025160977],"domain_scores_gemma":[0.99279964,0.0025260495,0.000697457,0.001850682,0.0017909282,0.0003352859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022564856,0.0015837883,0.001978953,0.004651236,0.0015781102,0.0034199448,0.0036006235,0.0027682604,0.0046481513],"category_scores_gemma":[0.010035262,0.0013536743,0.002573284,0.003193541,0.002921017,0.003991143,0.0046702223,0.0025433104,0.002020518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078588905,0.00030175073,0.0072249616,0.0005637789,0.00039095967,0.0010761721,0.0016442077,0.3914772,0.09095279,0.049555015,0.0064950804,0.4495321],"study_design_scores_gemma":[0.000010274257,0.000053800824,0.0011213128,0.000031811673,0.000034747656,0.00022669254,0.0002162812,0.9575335,0.01421577,0.023140782,0.0033719882,0.00004309052],"about_ca_topic_score_codex":0.0027596531,"about_ca_topic_score_gemma":0.0044718115,"teacher_disagreement_score":0.004651236,"about_ca_system_score_codex":0.0011984103,"about_ca_system_score_gemma":0.00155464,"threshold_uncertainty_score":0.0155496},"labels":[],"label_agreement":null},{"id":"W2005796613","doi":"10.1145/2601097.2601122","title":"Eyeglasses-free display","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Information and Intelligent Systems; Natural Sciences and Engineering Research Council of Canada","keywords":"Eyewear; Computer science; Computer vision; Artificial intelligence; Observer (physics); Computer graphics (images); Light field; Depth of field; Contrast (vision); Optics","score_opus":0.010600079254942758,"score_gpt":0.230921228793407,"score_spread":0.22032114953846427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005796613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22637154,0.0035445078,0.5608363,0.0015040191,0.0008231468,0.00030501036,0.004062128,0.020079903,0.1824734],"genre_scores_gemma":[0.76534975,0.00137709,0.13593085,0.00092646835,0.00015798528,0.000185801,0.0023471662,0.0009507704,0.09277405],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999866,0.000010260432,0.0000048205843,0.00002408725,0.00007418887,0.000020723064],"domain_scores_gemma":[0.99983335,0.00003125784,0.000014240808,0.000047380083,0.00005646106,0.000017254928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084987936,0.00037614055,0.00025168303,0.00031569714,0.00035133978,0.00075040903,0.00084726623,0.0004293855,0.030319342],"category_scores_gemma":[0.0004912206,0.0001712556,0.00032496365,0.00023023829,0.00016342574,0.00085915276,0.0008793913,0.00045742685,0.0044575706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068726944,0.00018237854,0.0027871975,0.00063426275,0.000111138004,0.00076862186,0.00044157397,0.013569043,0.5440212,0.032693535,0.10163757,0.3024662],"study_design_scores_gemma":[0.00024542166,0.0007168911,0.0150798485,0.00019465509,0.00018071303,0.002736925,0.0002839395,0.20774306,0.34919807,0.013080711,0.4102758,0.00026397454],"about_ca_topic_score_codex":0.0019117713,"about_ca_topic_score_gemma":0.0022346345,"teacher_disagreement_score":0.030319342,"about_ca_system_score_codex":0.00037083653,"about_ca_system_score_gemma":0.00027502334,"threshold_uncertainty_score":0.10142827},"labels":[],"label_agreement":null},{"id":"W2006212003","doi":"10.1145/1360612.1360665","title":"Animating developable surfaces using nonconforming elements","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discretization; Polygon mesh; Developable surface; Rendering (computer graphics); Animation; Computer science; Computer graphics; Collision detection; Computer graphics (images); Limit (mathematics); Graphics; Plane (geometry); Geometry; Mathematics; Mathematical analysis; Collision; Surface (topology)","score_opus":0.06477887431061355,"score_gpt":0.3118279781094528,"score_spread":0.24704910379883924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006212003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02830258,0.00008278217,0.96557236,0.000107232554,0.00006379456,0.00003940368,0.000039076946,0.00067544775,0.005117343],"genre_scores_gemma":[0.27610204,0.0002748454,0.7155421,0.00012181787,0.000035466986,0.00012506807,0.00017576103,0.00060414866,0.007018805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997106,0.000043615593,0.000011821122,0.00003472539,0.00017762158,0.000021646743],"domain_scores_gemma":[0.9996575,0.00015710806,0.000027694223,0.00007900779,0.000045151257,0.000033621727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521471,0.00048026314,0.00034853266,0.00042854043,0.00035633007,0.0008605075,0.00093873474,0.0008480513,0.0029120094],"category_scores_gemma":[0.0012486647,0.00033532712,0.000529641,0.0002744654,0.00086752506,0.0009244771,0.001404542,0.0014126645,0.00046899886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011998864,0.0001077597,0.0010300301,0.00017359162,0.00003510808,0.00045062864,0.001002622,0.537965,0.18526089,0.12956928,0.0031429846,0.14114209],"study_design_scores_gemma":[0.000020448526,0.00004724656,0.0001506615,0.000012193199,0.0000055281384,0.00012670101,0.00003369717,0.95635504,0.01953349,0.011116946,0.012576301,0.00002172541],"about_ca_topic_score_codex":0.0010856977,"about_ca_topic_score_gemma":0.0015372781,"teacher_disagreement_score":0.0029120094,"about_ca_system_score_codex":0.0004471528,"about_ca_system_score_gemma":0.0003602092,"threshold_uncertainty_score":0.009741664},"labels":[],"label_agreement":null},{"id":"W2006461528","doi":"10.1145/2451236.2451238","title":"A gradient-based implicit blend","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Agence Nationale de la Recherche; Intel Corporation","keywords":"Constructive; Merge (version control); Computer science; Composition (language); Animation; Binary number; Polygon mesh; Theoretical computer science; Topology (electrical circuits); Algorithm; Computational science; Computer graphics (images); Parallel computing; Mathematics; Programming language; Process (computing); Arithmetic","score_opus":0.012922856068995606,"score_gpt":0.21061402405878915,"score_spread":0.19769116798979355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006461528","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009913767,0.00010901608,0.9822708,0.00009550119,0.00007671176,0.00003714147,0.000029331377,0.000707778,0.0067600734],"genre_scores_gemma":[0.22501062,0.0002897277,0.7600632,0.0002193963,0.000053853175,0.00009512519,0.000099691206,0.00082222465,0.013346164],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995153,0.000047027886,0.000017286688,0.00006340878,0.00031349604,0.000043502314],"domain_scores_gemma":[0.99969983,0.000062746505,0.000021153015,0.00007094437,0.00010004559,0.00004541427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006128036,0.0006691866,0.00059508876,0.0008383592,0.000559405,0.0016397928,0.0014153342,0.0010001728,0.0053783683],"category_scores_gemma":[0.0017677593,0.00043075313,0.00048197692,0.00061096664,0.0011637289,0.0018266652,0.0024707878,0.0014256618,0.0016174505],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030084164,0.00020371849,0.0011430488,0.0002493268,0.000044410383,0.00030990038,0.00056267204,0.15614885,0.13958846,0.3344793,0.005644147,0.36132535],"study_design_scores_gemma":[0.0000386503,0.00008465043,0.00015765225,0.000032003627,0.000016687427,0.00031561183,0.00004931677,0.89996916,0.038827132,0.035053696,0.02541912,0.000036341164],"about_ca_topic_score_codex":0.0008798468,"about_ca_topic_score_gemma":0.00080358074,"teacher_disagreement_score":0.0053783683,"about_ca_system_score_codex":0.0004916867,"about_ca_system_score_gemma":0.0006117153,"threshold_uncertainty_score":0.017992437},"labels":[],"label_agreement":null},{"id":"W2008270036","doi":"10.1145/1531326.1531341","title":"Joint-aware manipulation of deformable models","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China; Ministry of Science and Technology of the People's Republic of China; National Science Foundation","keywords":"Joint (building); Computer science; Component (thermodynamics); Solver; Deformation (meteorology); Nonlinear system; Artificial intelligence; Computer vision; Algorithm; Structural engineering","score_opus":0.037167181943768765,"score_gpt":0.22440928312253466,"score_spread":0.18724210117876589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008270036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019178094,0.000080546,0.9768961,0.000043905806,0.000016309788,0.00002482143,0.000032740456,0.0014103994,0.0023170917],"genre_scores_gemma":[0.4551742,0.00023069297,0.53912795,0.00006367411,0.0000192974,0.00008987713,0.00022169485,0.0005023365,0.004570312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994331,0.0000798229,0.000030696763,0.00010829122,0.00030818157,0.000039829833],"domain_scores_gemma":[0.99961555,0.000110564215,0.0000401151,0.0001781482,0.000033649634,0.000021892309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034666515,0.0007090123,0.0006457951,0.000512149,0.00033118832,0.00082725816,0.0013095695,0.0007726972,0.002527673],"category_scores_gemma":[0.0010580235,0.0005028596,0.0007817961,0.00036160057,0.0007337319,0.0013718395,0.0021541642,0.00071286195,0.00049447315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009390313,0.000073154646,0.00068481837,0.00014148519,0.000068178975,0.00031655398,0.00028408665,0.57839864,0.2151074,0.036234543,0.0019112754,0.16668606],"study_design_scores_gemma":[0.000007758978,0.000024592273,0.00019143798,0.000007405025,0.00001153437,0.000115972245,0.000023507302,0.9586916,0.027299998,0.0077062454,0.0059041553,0.000015814856],"about_ca_topic_score_codex":0.0010704604,"about_ca_topic_score_gemma":0.0018554289,"teacher_disagreement_score":0.002527673,"about_ca_system_score_codex":0.00028636248,"about_ca_system_score_gemma":0.00031586422,"threshold_uncertainty_score":0.008455932},"labels":[],"label_agreement":null},{"id":"W2008396997","doi":"10.1145/1477926.1477937","title":"Data-driven curvature for real-time line drawing of dynamic scenes","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Curvature; Computer science; Animation; Computer graphics (images); Rendering (computer graphics); Artificial intelligence; Principal curvature; Skinning; Computer vision; Shape analysis (program analysis); Polygon mesh; Algorithm; Geometry; Mathematics; Mean curvature","score_opus":0.032482650277238685,"score_gpt":0.3300164162110197,"score_spread":0.297533765933781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008396997","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025673083,0.0000472243,0.9901779,0.000050601022,0.000016355494,0.000019097764,0.000070998896,0.006604529,0.00044607255],"genre_scores_gemma":[0.13877417,0.00020672553,0.8558683,0.0000736867,0.000037430887,0.00011395202,0.00062096096,0.002007942,0.0022968967],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994536,0.00006248017,0.000020868802,0.00013968085,0.0002834496,0.000039921462],"domain_scores_gemma":[0.99909604,0.00023408496,0.000089002206,0.00031090432,0.00021663817,0.000053344393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004867599,0.0011155998,0.00072446425,0.0011531657,0.00045426915,0.00093497464,0.0018405049,0.0008106838,0.005735277],"category_scores_gemma":[0.0023985682,0.00091073924,0.0010222357,0.0009596303,0.0005827828,0.0012339284,0.0011510514,0.0018657163,0.0028633266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017939688,0.000090436406,0.0010283133,0.00015689517,0.00008219084,0.00013659566,0.00024600283,0.22880952,0.08340634,0.011259174,0.012568703,0.6620364],"study_design_scores_gemma":[0.000008979361,0.000016685633,0.0003157727,0.000007084431,0.0000067020856,0.000089781155,0.000013622014,0.9750293,0.015512185,0.0034194198,0.0055597145,0.000020705313],"about_ca_topic_score_codex":0.004782112,"about_ca_topic_score_gemma":0.0077548954,"teacher_disagreement_score":0.005735277,"about_ca_system_score_codex":0.0012018753,"about_ca_system_score_gemma":0.0009020125,"threshold_uncertainty_score":0.019186437},"labels":[],"label_agreement":null},{"id":"W2009420378","doi":"10.1145/2503144","title":"Focus 3D","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Media Development Authority - Singapore; Division of Information and Intelligent Systems; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Parallax; Computer science; Computer vision; Light field; Accommodation; Binocular disparity; Artificial intelligence; Stereo display; Focus (optics); Lens (geology); Optics; Depth of field; Holographic display; Computer graphics (images); Stereoscopy; Physics; Holography","score_opus":0.012297127274098422,"score_gpt":0.22213328334236734,"score_spread":0.20983615606826891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009420378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006993852,0.0052459147,0.53667986,0.0019034826,0.002761961,0.00045055023,0.006533065,0.023612356,0.41581896],"genre_scores_gemma":[0.15766002,0.0073659867,0.41983524,0.0032116715,0.00084749074,0.0009314082,0.018194782,0.008035503,0.38391784],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957925,0.000035210876,0.0000250184,0.00007749959,0.0002373553,0.000045659002],"domain_scores_gemma":[0.999731,0.000031998017,0.0000151332715,0.00009784271,0.00008992494,0.000034017597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035510803,0.001469788,0.00056933996,0.0014058985,0.000773619,0.0030503906,0.0014514923,0.0014273096,0.15762798],"category_scores_gemma":[0.00078139844,0.0006623779,0.0009871526,0.0007230237,0.00044536043,0.0016974242,0.0031959598,0.0011367232,0.05554083],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024815608,0.000073615985,0.0010380365,0.00085660524,0.00007975151,0.0006523611,0.0005458765,0.0062677963,0.057749823,0.09010973,0.31573078,0.5266475],"study_design_scores_gemma":[0.000037811496,0.000054316824,0.0004365089,0.00007541115,0.000025093253,0.00077465014,0.0000583286,0.007838331,0.012850724,0.0056424867,0.97216254,0.000043796226],"about_ca_topic_score_codex":0.0025634104,"about_ca_topic_score_gemma":0.0035651524,"teacher_disagreement_score":0.15762798,"about_ca_system_score_codex":0.0006055621,"about_ca_system_score_gemma":0.0006642004,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2010403194","doi":"10.1145/1531326.1531364","title":"Self-organizing tree models for image synthesis","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tree (set theory); Computer science; Pruning; Variety (cybernetics); Process (computing); Artificial intelligence; Competition (biology); Range (aeronautics); Theoretical computer science; Ecology; Mathematics; Biology","score_opus":0.022619073116665344,"score_gpt":0.21999752315572582,"score_spread":0.1973784500390605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010403194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018921116,0.00014033771,0.9955622,0.00006735975,0.000026412594,0.000024676621,0.0000502752,0.00042999478,0.0018066429],"genre_scores_gemma":[0.19309112,0.0007239882,0.7980496,0.00012956512,0.000079608064,0.0005305294,0.000284832,0.0005071354,0.006603594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998306,0.000047673293,0.0000071159347,0.000023401199,0.000079553494,0.000011672298],"domain_scores_gemma":[0.999721,0.00015126966,0.000021883929,0.00004786157,0.00004167635,0.000016199323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034081386,0.0005728697,0.0004206139,0.00049315824,0.00031081281,0.0008321687,0.0010772512,0.00085839746,0.0055991355],"category_scores_gemma":[0.001210371,0.00045318378,0.00085694273,0.0004934427,0.00042311673,0.00072941434,0.0008614029,0.0010182065,0.0011077092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040435632,0.0000289665,0.000147325,0.00011958068,0.000040652543,0.00006998581,0.00013352523,0.83989716,0.012044045,0.07608615,0.0036189088,0.06777331],"study_design_scores_gemma":[0.0000061802716,0.000004437927,0.000016720298,0.0000058388437,0.000002884005,0.000015714082,0.000004715947,0.98456025,0.00081507466,0.0114232255,0.0031402686,0.0000046749387],"about_ca_topic_score_codex":0.0016234848,"about_ca_topic_score_gemma":0.00194184,"teacher_disagreement_score":0.0055991355,"about_ca_system_score_codex":0.0006741359,"about_ca_system_score_gemma":0.00044700172,"threshold_uncertainty_score":0.018730998},"labels":[],"label_agreement":null},{"id":"W2011793254","doi":"10.1145/2766992","title":"Adaptive rendering with linear predictions","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Rendering (computer graphics); Pixel; Computer science; Algorithm; Linear model; Ground truth; Artificial intelligence; Global illumination; Machine learning","score_opus":0.06121532519200461,"score_gpt":0.29088853055306463,"score_spread":0.22967320536106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011793254","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036995283,0.00003870469,0.9943786,0.000047335896,0.000018412895,0.000013308887,0.000016480768,0.000870093,0.0009174951],"genre_scores_gemma":[0.1978309,0.00017591,0.79708433,0.0001375071,0.000056902216,0.00007654884,0.00013410661,0.0007610739,0.0037426804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940705,0.000073150804,0.000020779102,0.00010604838,0.0003538221,0.00003921781],"domain_scores_gemma":[0.9991762,0.00034589067,0.00008142207,0.0002069251,0.00014836101,0.000041109943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047063507,0.00079524855,0.00068698736,0.00046949938,0.0003099145,0.0012283799,0.0016076165,0.00091169856,0.0028628188],"category_scores_gemma":[0.0026824113,0.0005785771,0.0008659372,0.00039068598,0.00073511386,0.0013585576,0.0012678293,0.0020049221,0.00096241006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022978675,0.00012162462,0.0012776947,0.000112326146,0.000065230415,0.00019239486,0.00029852657,0.6554184,0.063386925,0.036483012,0.0041196295,0.23829438],"study_design_scores_gemma":[0.000008354319,0.000011380927,0.00004833106,0.0000031287432,0.0000043664904,0.0000329988,0.000004355183,0.99119276,0.00498445,0.0023196598,0.0013811236,0.000009187421],"about_ca_topic_score_codex":0.0038723492,"about_ca_topic_score_gemma":0.0034334671,"teacher_disagreement_score":0.0038723492,"about_ca_system_score_codex":0.0005196921,"about_ca_system_score_gemma":0.00092607684,"threshold_uncertainty_score":0.009577036},"labels":[],"label_agreement":null},{"id":"W2012604613","doi":"10.1145/2816795.2818116","title":"SHED","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Research Council; Azrieli Foundation","keywords":"Shape analysis (program analysis); Computer science; Similarity (geometry); Heat kernel signature; Distance transform; Block (permutation group theory); Artificial intelligence; Active shape model; Shape change; Edit distance; Variety (cybernetics); Pattern recognition (psychology); Computer vision; Geometry; Mathematics; Image (mathematics); Segmentation","score_opus":0.03867279705773535,"score_gpt":0.23810196050283136,"score_spread":0.199429163445096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012604613","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072484896,0.0044202316,0.7155012,0.0008812971,0.0010724489,0.0008512476,0.08362784,0.059884593,0.061276294],"genre_scores_gemma":[0.25205585,0.0021931306,0.5242107,0.0011175147,0.0003699276,0.00091094663,0.18703552,0.004328435,0.027777934],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976427,0.00022717338,0.00020601098,0.00063806085,0.0011373964,0.0001486344],"domain_scores_gemma":[0.99753976,0.00044560767,0.00021566487,0.0010964688,0.0005850483,0.00011736134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010967291,0.0012779527,0.0011022225,0.0036823868,0.00077639206,0.002595375,0.0016950583,0.0013306064,0.020495862],"category_scores_gemma":[0.007349276,0.00039265162,0.0009607537,0.0033071989,0.00055636535,0.00368984,0.0037815736,0.0011574571,0.018528303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005130093,0.00024407293,0.010120412,0.0011515559,0.00022004127,0.0002350506,0.00030871722,0.016153414,0.020307075,0.03793264,0.1487987,0.76401526],"study_design_scores_gemma":[0.000120536315,0.0006372816,0.014060833,0.00021227878,0.000106661006,0.0024755711,0.00061008066,0.20003846,0.04090157,0.097032405,0.64359283,0.00021146066],"about_ca_topic_score_codex":0.0019916394,"about_ca_topic_score_gemma":0.0040805517,"teacher_disagreement_score":0.020495862,"about_ca_system_score_codex":0.00070966943,"about_ca_system_score_gemma":0.00079772744,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2013425019","doi":"10.1145/2508363.2508411","title":"Joint importance sampling of low-order volumetric scattering","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Grantová Agentura České Republiky","keywords":"Rendering (computer graphics); Path tracing; Computer science; Importance sampling; Algorithm; Scattering; Ray tracing (physics); Vertex (graph theory); Global illumination; Path (computing); Path length; Distributed ray tracing; Monte Carlo method; Mathematical optimization; Theoretical computer science; Computer vision; Mathematics; Optics; Physics; Statistics","score_opus":0.037981098260488184,"score_gpt":0.281559023773716,"score_spread":0.24357792551322782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013425019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019041894,0.000041063544,0.9792533,0.00003530055,0.000012286972,0.000021873482,0.00001555153,0.00030625382,0.0012724472],"genre_scores_gemma":[0.61515075,0.00017179525,0.3815269,0.0000549516,0.00003236334,0.00010176029,0.00013635172,0.00034445553,0.002480773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994506,0.00013818733,0.0000166173,0.00005778123,0.00026957484,0.00006726779],"domain_scores_gemma":[0.99785066,0.0013359057,0.00011584699,0.0003041811,0.00029952577,0.000093947005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010773983,0.00055679615,0.00059691566,0.0007906387,0.0005710342,0.0012072122,0.0010252402,0.0005558801,0.002098784],"category_scores_gemma":[0.0051958463,0.00045980443,0.00071630406,0.0005408754,0.00094244134,0.001319607,0.0012551784,0.0012744429,0.00036955776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015656058,0.0000688421,0.002469798,0.000083119834,0.00002685039,0.00017589623,0.0002652843,0.8132473,0.014952804,0.102739125,0.0010118897,0.0648025],"study_design_scores_gemma":[0.0000042863867,0.000006046856,0.000090683425,0.0000022629351,0.000002056309,0.00001742135,0.000007791427,0.988478,0.002100314,0.008953801,0.00033326703,0.000003940352],"about_ca_topic_score_codex":0.0040582404,"about_ca_topic_score_gemma":0.0046126754,"teacher_disagreement_score":0.0040582404,"about_ca_system_score_codex":0.00109366,"about_ca_system_score_gemma":0.0011406471,"threshold_uncertainty_score":0.008069217},"labels":[],"label_agreement":null},{"id":"W2014505645","doi":"10.1145/2766910","title":"Dynamic terrain traversal skills using reinforcement learning","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Terrain; Traverse; Reinforcement learning; Tree traversal; Computer science; Bounding overwatch; Dynamical simulation; Artificial intelligence; Representation (politics); Metric (unit); Pipeline (software); Parametric statistics; Physics engine; Simulation; Algorithm; Engineering; Mathematics","score_opus":0.022852534222596206,"score_gpt":0.2548259460549967,"score_spread":0.2319734118324005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014505645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21552593,0.00020334909,0.77366865,0.00026335428,0.00004407028,0.0002095829,0.000080946564,0.0031237772,0.0068803104],"genre_scores_gemma":[0.89211744,0.000074402466,0.10505751,0.0000720058,0.00000873283,0.00010964296,0.000115987976,0.00005878091,0.002385526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985504,0.000032356686,0.000008513919,0.00004071036,0.000039253173,0.000024151024],"domain_scores_gemma":[0.99927634,0.00036999764,0.00008280104,0.0000879592,0.000103440216,0.00007947285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045980443,0.00060712674,0.00039074355,0.00026231934,0.00018479055,0.00039823528,0.00094857794,0.00060673803,0.00229579],"category_scores_gemma":[0.002019946,0.000257939,0.00024438772,0.00015761981,0.00048679914,0.00059045036,0.0007191422,0.0009883096,0.00044391595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011340388,0.0002726282,0.0018400695,0.00007093075,0.00002296179,0.00007273508,0.00008883077,0.8356953,0.008988461,0.0021726368,0.0010206214,0.14964134],"study_design_scores_gemma":[0.000016376687,0.00006930561,0.00017057043,0.0000048420065,0.0000026576045,0.000011958268,0.0000069314506,0.9968501,0.0014800957,0.0010604245,0.00032323634,0.0000035610665],"about_ca_topic_score_codex":0.004249628,"about_ca_topic_score_gemma":0.0043509007,"teacher_disagreement_score":0.004249628,"about_ca_system_score_codex":0.00046880264,"about_ca_system_score_gemma":0.0006646871,"threshold_uncertainty_score":0.008449793},"labels":[],"label_agreement":null},{"id":"W2014817685","doi":"10.1145/2661229.2661272","title":"TrackCam","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Robustness (evolution); Panning (audio); Match moving; Segmentation; Structure from motion; Photography; Computer graphics (images); Single camera; Video tracking; Motion estimation; Object (grammar); Motion (physics)","score_opus":0.01687634226747507,"score_gpt":0.2676792689558766,"score_spread":0.25080292668840154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014817685","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012847514,0.0014190257,0.35057297,0.00082775817,0.0025063495,0.0022951963,0.05779461,0.23626895,0.3354676],"genre_scores_gemma":[0.13433312,0.0013037331,0.27384764,0.0039041955,0.0005835011,0.002538779,0.12101068,0.021627003,0.44085136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952173,0.000024785091,0.000024789537,0.00016658922,0.00020158527,0.000060507715],"domain_scores_gemma":[0.9993297,0.00007222462,0.000028532078,0.0001634766,0.0003172811,0.0000887482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052046543,0.0013574467,0.0009779391,0.0015725371,0.0007982734,0.0022111097,0.0021429048,0.0018202742,0.2980315],"category_scores_gemma":[0.0016265598,0.0006854241,0.00057408726,0.0010548488,0.00025908265,0.0017656586,0.0020635517,0.0011222161,0.10383159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074856624,0.00016507255,0.001624674,0.0006430568,0.00007573907,0.00035157189,0.00027765764,0.00088530977,0.030475685,0.0053152107,0.59640115,0.3630363],"study_design_scores_gemma":[0.00022057597,0.00025435517,0.0036126636,0.00013973661,0.000092720504,0.0007642369,0.00012751004,0.025712928,0.030876331,0.0029049588,0.9351933,0.00010076461],"about_ca_topic_score_codex":0.0043136883,"about_ca_topic_score_gemma":0.007483991,"teacher_disagreement_score":0.2980315,"about_ca_system_score_codex":0.0006549703,"about_ca_system_score_gemma":0.0009355164,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2014848270","doi":"10.1145/966131.966135","title":"Perceptually based brush strokes for nonphotorealistic visualization","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Glyph (data visualization); Visualization; Salient; Representation (politics); Artificial intelligence; Graphics; Computer graphics; Perception; Visual analytics; Computer graphics (images); Computer vision; Pattern recognition (psychology)","score_opus":0.032841803156640634,"score_gpt":0.30822155397119533,"score_spread":0.2753797508145547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014848270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011998105,0.0003221719,0.9833836,0.00013914042,0.000057793204,0.00010774891,0.00006230969,0.0013198374,0.0026092303],"genre_scores_gemma":[0.17135036,0.0006967776,0.8241328,0.00013990946,0.000055421853,0.00030226744,0.00015468808,0.00065961364,0.0025081087],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942005,0.00017962384,0.000048416066,0.00009616736,0.0002100362,0.000045781475],"domain_scores_gemma":[0.9979292,0.0010083783,0.00013486433,0.0005828009,0.00023901043,0.0001057039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008363796,0.000929962,0.0006161019,0.0010463084,0.0006030015,0.002061982,0.001002756,0.00072192185,0.0058509894],"category_scores_gemma":[0.0051919315,0.0005458289,0.0007353976,0.0008023978,0.00095030613,0.0019477478,0.0023899488,0.001698948,0.0010262189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003483967,0.00016119957,0.0010675669,0.0010590435,0.00008660114,0.0005639929,0.004035333,0.03257801,0.26997688,0.09455366,0.009403284,0.5861661],"study_design_scores_gemma":[0.0002534518,0.0006597422,0.0043053227,0.0004048932,0.00013167842,0.0018919453,0.0015564958,0.45904028,0.15826173,0.18343419,0.18980221,0.00025795773],"about_ca_topic_score_codex":0.00052696007,"about_ca_topic_score_gemma":0.0008999483,"teacher_disagreement_score":0.0058509894,"about_ca_system_score_codex":0.00038738747,"about_ca_system_score_gemma":0.0003689528,"threshold_uncertainty_score":0.01957357},"labels":[],"label_agreement":null},{"id":"W2015466769","doi":"10.1145/2601097.2601109","title":"Organizing heterogeneous scene collections through contextual focal points","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Israel Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Focal point; Cluster analysis; Computer science; Focal length; Artificial intelligence; Cardinal point; Cluster (spacecraft); Perspective (graphical); Set (abstract data type); Computer vision; Point (geometry); Pattern recognition (psychology); Mathematics; Lens (geology)","score_opus":0.018748255919118658,"score_gpt":0.22438852118608443,"score_spread":0.20564026526696577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015466769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049378652,0.0005031525,0.94627875,0.00011632966,0.000017328599,0.00022745202,0.0003493165,0.0008724027,0.002256538],"genre_scores_gemma":[0.36372718,0.0006565402,0.63167113,0.0000884085,0.00005916872,0.00034736938,0.0017144812,0.00030924706,0.0014264354],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851626,0.0002148046,0.000077400044,0.0004883338,0.00043799332,0.00026521235],"domain_scores_gemma":[0.9981963,0.0004828004,0.0002750966,0.00042035588,0.00047834837,0.00014710908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096289755,0.0010182962,0.0015686465,0.009533231,0.0017904209,0.0036560649,0.001822765,0.0009781598,0.0017395158],"category_scores_gemma":[0.003957429,0.00076775067,0.0013792267,0.007757662,0.001702084,0.004022998,0.004930587,0.0008327588,0.0005749733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005212682,0.00030065945,0.024020595,0.0007671457,0.00043149045,0.0011316834,0.004819014,0.122765206,0.051791474,0.08172509,0.0068287533,0.70489764],"study_design_scores_gemma":[0.000060157145,0.0003450496,0.03115426,0.0002304498,0.00036971792,0.0017991184,0.0067454395,0.72561306,0.028472899,0.16696359,0.038025256,0.00022096171],"about_ca_topic_score_codex":0.009481278,"about_ca_topic_score_gemma":0.0146194,"teacher_disagreement_score":0.009533231,"about_ca_system_score_codex":0.0013972231,"about_ca_system_score_gemma":0.0012314011,"threshold_uncertainty_score":0.018852174},"labels":[],"label_agreement":null},{"id":"W2015945789","doi":"10.1145/2508363.2508373","title":"\"Mind the gap\"","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; European Regional Development Fund; National Natural Science Foundation of China; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; United States-Israel Binational Science Foundation","keywords":"Salient; Image (mathematics); Set (abstract data type); Computer science; Task (project management); Artificial intelligence; Computer vision; Inpainting; Painting; Computer graphics (images); Visual arts; Art; Engineering","score_opus":0.02177921022371893,"score_gpt":0.23719953282900985,"score_spread":0.21542032260529093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015945789","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009842767,0.00036390714,0.9781417,0.0010203761,0.00023356428,0.000059347145,0.000082461534,0.002242802,0.0080130575],"genre_scores_gemma":[0.12948069,0.00050400296,0.8543985,0.0007619317,0.00019393927,0.000089124944,0.00031105583,0.0015502399,0.012710463],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897504,0.00019272517,0.00003501074,0.00036071002,0.0003560219,0.00008049173],"domain_scores_gemma":[0.99827707,0.00035309524,0.000108979075,0.0009442968,0.00019647146,0.00012010436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490879,0.0012425375,0.0007709258,0.0011101939,0.0011145227,0.0024894536,0.002420892,0.0020217695,0.01289583],"category_scores_gemma":[0.0049337368,0.0008333065,0.000966072,0.0006265297,0.0031066684,0.0051678387,0.004660126,0.0029221699,0.0050280467],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005916034,0.00008650905,0.0015290172,0.000635174,0.00017302479,0.0006524587,0.0023192924,0.02665123,0.098057665,0.22153944,0.03310171,0.61466277],"study_design_scores_gemma":[0.00009371014,0.0003043488,0.0021002612,0.0003084272,0.00013490593,0.0023625765,0.0015160021,0.21139444,0.10977002,0.3205924,0.35124826,0.00017460049],"about_ca_topic_score_codex":0.0008574234,"about_ca_topic_score_gemma":0.0013531239,"teacher_disagreement_score":0.01289583,"about_ca_system_score_codex":0.00055133423,"about_ca_system_score_gemma":0.00094061624,"threshold_uncertainty_score":0.04314083},"labels":[],"label_agreement":null},{"id":"W2015973708","doi":"10.1145/2451236.2451240","title":"A practical microcylinder appearance model for cloth rendering","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; McGill University","keywords":"Bidirectional reflectance distribution function; Gamut; Computer science; Rendering (computer graphics); Shading; Computer graphics (images); Thread (computing); Scattering; Tangent; Reflectivity; Artificial intelligence; Computer vision; Optics; Geometry; Mathematics; Physics","score_opus":0.06794635421927187,"score_gpt":0.3358958212401126,"score_spread":0.2679494670208407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015973708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011192653,0.000065933826,0.98325676,0.0001103389,0.00004155548,0.00004066829,0.000104723826,0.00088156207,0.0043058656],"genre_scores_gemma":[0.5741089,0.00035205774,0.40669817,0.00019485244,0.00005546392,0.00019448576,0.00051961315,0.00095380226,0.016922722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974877,0.000036958292,0.000009961487,0.000047182373,0.0001330715,0.000023925599],"domain_scores_gemma":[0.9997782,0.000062446605,0.000018533196,0.000042741445,0.00007634856,0.000021586031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002558354,0.0006296983,0.00042729446,0.00032798274,0.00029257342,0.0009030772,0.00110086,0.0008955197,0.0037110907],"category_scores_gemma":[0.0009465011,0.00048575393,0.00093700696,0.00025223507,0.00039746804,0.00077356736,0.00073994795,0.0008768999,0.0011553554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007901711,0.00004771092,0.00063850504,0.000075241776,0.000018527258,0.00019372244,0.00013919623,0.90907663,0.031070834,0.019214543,0.002193863,0.037252244],"study_design_scores_gemma":[0.0000035394833,0.0000070145024,0.00004590518,0.0000021549401,0.0000014838722,0.00003205221,0.0000035801606,0.9966916,0.0012687627,0.00069803925,0.0012420964,0.0000037901548],"about_ca_topic_score_codex":0.004268295,"about_ca_topic_score_gemma":0.0032107257,"teacher_disagreement_score":0.004268295,"about_ca_system_score_codex":0.0007417013,"about_ca_system_score_gemma":0.00064268307,"threshold_uncertainty_score":0.012414873},"labels":[],"label_agreement":null},{"id":"W2016352584","doi":"10.1145/2185520.2185583","title":"Design of self-supporting surfaces","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Division of Information and Intelligent Systems; Nvidia; Division of Computing and Communication Foundations; Austrian Science Fund; Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Polygon mesh; Discretization; Geometry; Geometry processing; Finite element method; Nonlinear system; Planar; Thrust; Computer science; Mathematics; Mathematical analysis; Computer graphics (images); Structural engineering; Engineering; Physics","score_opus":0.021240318678604236,"score_gpt":0.26621143554460924,"score_spread":0.244971116866005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016352584","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13336724,0.00027506775,0.8469918,0.00014914524,0.000071618706,0.00007325406,0.00006488297,0.00051249546,0.018494464],"genre_scores_gemma":[0.79801357,0.00029629882,0.19351897,0.00005306626,0.000027035825,0.000118503805,0.00010678426,0.00013706468,0.007728694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998073,0.000027715809,0.000007963326,0.00002707256,0.00010396745,0.00002598101],"domain_scores_gemma":[0.99984527,0.00002629378,0.000024047276,0.00003201636,0.00005133095,0.000020914045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018703312,0.00033434966,0.00026187752,0.0005125092,0.00021284472,0.00060884317,0.0006432361,0.00049264374,0.0018297344],"category_scores_gemma":[0.0005143348,0.00026219734,0.0002548251,0.00018049518,0.00041550866,0.0004411825,0.0009599275,0.00030388494,0.00064920215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009375133,0.00008270433,0.0021494785,0.00025335804,0.000044568565,0.00042925173,0.00038183806,0.5709826,0.14048898,0.11302352,0.0034032161,0.16866675],"study_design_scores_gemma":[0.000020180485,0.00013828631,0.00055229815,0.000030344288,0.000012079394,0.00023836695,0.00009370502,0.9460079,0.017163305,0.020400112,0.015327549,0.000015924648],"about_ca_topic_score_codex":0.00021789422,"about_ca_topic_score_gemma":0.00022446517,"teacher_disagreement_score":0.0018297344,"about_ca_system_score_codex":0.0002039782,"about_ca_system_score_gemma":0.00026374275,"threshold_uncertainty_score":0.006121099},"labels":[],"label_agreement":null},{"id":"W2017293771","doi":"10.1145/1015706.1015764","title":"Keyframe-based tracking for rotoscoping and animation","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Tracking (education); Computer graphics (images); Animation; Sequence (biology); Process (computing); Computer graphics; Interpolation (computer graphics); Tracking system; Video tracking; Video processing; Kalman filter","score_opus":0.032681425610678765,"score_gpt":0.30680454584246136,"score_spread":0.2741231202317826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017293771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007866074,0.00016776564,0.9962165,0.000031770036,0.000032187818,0.000019380595,0.000017948461,0.0017794459,0.00094847044],"genre_scores_gemma":[0.050710924,0.0005052204,0.9445487,0.00007872589,0.000051209157,0.00008627387,0.0001351082,0.0007664175,0.0031173776],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993255,0.00013384443,0.00004307376,0.00017957433,0.00026979647,0.000048112914],"domain_scores_gemma":[0.9989569,0.0003544471,0.00008101186,0.00034146517,0.00019553624,0.000070598835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008803747,0.0007563445,0.0006928701,0.0009075475,0.0006961428,0.0011581276,0.0014575995,0.0011390445,0.009896199],"category_scores_gemma":[0.0031801474,0.00057209685,0.00062282884,0.000881628,0.0007737616,0.0017026333,0.0013195096,0.0010794475,0.0033176485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034844037,0.00006489853,0.0007167285,0.0003533806,0.00007013023,0.00021072934,0.0004896612,0.03853278,0.133894,0.061650284,0.012549544,0.75111943],"study_design_scores_gemma":[0.000065102526,0.00015173704,0.0007250715,0.00010967235,0.00007118937,0.0007298056,0.00007237985,0.72287434,0.1079988,0.03088803,0.136216,0.000097927696],"about_ca_topic_score_codex":0.0032747781,"about_ca_topic_score_gemma":0.0036751758,"teacher_disagreement_score":0.009896199,"about_ca_system_score_codex":0.0007364907,"about_ca_system_score_gemma":0.0005726705,"threshold_uncertainty_score":0.03310603},"labels":[],"label_agreement":null},{"id":"W2017311408","doi":"10.1145/2451236.2451241","title":"Closest point turbulence for liquid surfaces","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Embedding; Surface (topology); Algorithm; Point (geometry); Extension (predicate logic); Generalization; Operator (biology); Advection; Computer science; Field (mathematics); Resolution (logic); Mathematics; Mathematical analysis; Geometry; Physics; Artificial intelligence; Mechanics; Pure mathematics","score_opus":0.024974630861661264,"score_gpt":0.28155027981510033,"score_spread":0.2565756489534391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017311408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034660187,0.00007341645,0.9603397,0.00020425458,0.000058306283,0.000041857416,0.000017597025,0.0004072976,0.0041972897],"genre_scores_gemma":[0.5024905,0.00019247258,0.48959202,0.00015372879,0.00006517896,0.00016054288,0.000083888495,0.0003818084,0.0068798335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996332,0.00006607932,0.000011309402,0.00004531364,0.00021238899,0.00003174345],"domain_scores_gemma":[0.9995158,0.00021696805,0.000046887424,0.000088066314,0.000077616634,0.00005469408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004049759,0.00044447675,0.00051959325,0.00053572847,0.0005810701,0.0011254336,0.0013585893,0.0011933703,0.002747622],"category_scores_gemma":[0.0021999949,0.00031932018,0.00083996035,0.00029916278,0.0011582611,0.0018453599,0.002336215,0.0017863375,0.00059643877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093516974,0.0000833896,0.00053436647,0.00006685715,0.000021274662,0.00022924763,0.00028911044,0.6092519,0.036087755,0.3176799,0.0010884252,0.03457427],"study_design_scores_gemma":[0.000009224567,0.000013491904,0.000023623565,0.0000027013446,0.0000011283013,0.000019166226,0.000008853625,0.979634,0.002531168,0.016763948,0.000985863,0.000006842687],"about_ca_topic_score_codex":0.0015468245,"about_ca_topic_score_gemma":0.00070848037,"teacher_disagreement_score":0.002747622,"about_ca_system_score_codex":0.0006654626,"about_ca_system_score_gemma":0.0006764495,"threshold_uncertainty_score":0.0091917515},"labels":[],"label_agreement":null},{"id":"W2018470627","doi":"10.1145/2159516.2159522","title":"MultiFLIP for energetic two-phase fluid simulation","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of Pennsylvania","keywords":"Fluid simulation; Compressibility; Mechanics; Particle (ecology); Surface tension; Dissipation; Grid; Phase (matter); Surface (topology); Two-phase flow; Flow (mathematics); Computer science; Mixing (physics); Smoothed-particle hydrodynamics; Free surface; Projection (relational algebra); Physics; Geometry; Mathematics; Geology; Algorithm; Thermodynamics","score_opus":0.025368200030658396,"score_gpt":0.3057024915500455,"score_spread":0.2803342915193871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018470627","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029002244,0.0006771521,0.9232718,0.0005479213,0.00032162433,0.00030778506,0.001295466,0.01694571,0.027630478],"genre_scores_gemma":[0.28202626,0.0005529184,0.69919753,0.0003098505,0.00012539559,0.0016938725,0.0017223457,0.0036772974,0.010694446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974185,0.00006154074,0.000012956923,0.000022311593,0.0001256049,0.0000356356],"domain_scores_gemma":[0.9995129,0.00025907194,0.000027363412,0.00006313311,0.000084165644,0.000053337648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006649665,0.0007041553,0.0006940075,0.00068647263,0.00093330885,0.0010727824,0.0018356215,0.0017208346,0.01988982],"category_scores_gemma":[0.0024300355,0.00041615596,0.00065250735,0.0005297597,0.00047851182,0.0012063702,0.0021948833,0.0017360946,0.0030392318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055777887,0.0003715403,0.0019892172,0.00062924484,0.000089684094,0.000584811,0.00038189144,0.60640496,0.02918012,0.18059176,0.034862876,0.14435609],"study_design_scores_gemma":[0.000052275514,0.000017597271,0.000106557956,0.000022810358,0.0000038364287,0.000037400296,0.000007758488,0.9798605,0.0017555458,0.009156789,0.008964126,0.000014915309],"about_ca_topic_score_codex":0.0023862545,"about_ca_topic_score_gemma":0.0023222542,"teacher_disagreement_score":0.01988982,"about_ca_system_score_codex":0.00089681364,"about_ca_system_score_gemma":0.0009278569,"threshold_uncertainty_score":0.066538095},"labels":[],"label_agreement":null},{"id":"W2018571963","doi":"10.1145/1778765.1781156","title":"Generalized biped walking control","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Computer science; Inverted pendulum; Gait; Trajectory; Character (mathematics); Realization (probability); Simulation; Motion (physics); Motion control; Control (management); Artificial intelligence; Mathematics; Robot; Physical medicine and rehabilitation","score_opus":0.011933212556920807,"score_gpt":0.2246672913070914,"score_spread":0.21273407875017059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018571963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032878157,0.00038703557,0.9510644,0.00009731901,0.000110678935,0.00008861242,0.0001143142,0.0020385864,0.013220871],"genre_scores_gemma":[0.8647937,0.0004342067,0.12436353,0.00012219479,0.00005084751,0.00020646023,0.00026567446,0.00015248603,0.009610898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.00002753813,0.000009132221,0.00004274783,0.00006347433,0.000018985596],"domain_scores_gemma":[0.99988616,0.000018998338,0.000013374001,0.000034063978,0.000032678287,0.000014724736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015277184,0.0006703211,0.0004827738,0.00026672264,0.00028039885,0.00059914455,0.00066050317,0.0003878115,0.003317631],"category_scores_gemma":[0.00044396857,0.00017174389,0.0003396214,0.00024200292,0.00043066527,0.00038993548,0.0009244692,0.00041224385,0.0005949901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020215697,0.00007425012,0.00049165316,0.0005101801,0.000084910076,0.00045770616,0.0002953749,0.5583845,0.07268391,0.043375496,0.004581617,0.31885824],"study_design_scores_gemma":[0.00004955887,0.00021788524,0.0005666146,0.000033597033,0.00002216659,0.00012891815,0.000022541424,0.9729436,0.0039209416,0.011745477,0.010324332,0.000024410216],"about_ca_topic_score_codex":0.0018112315,"about_ca_topic_score_gemma":0.001783051,"teacher_disagreement_score":0.003317631,"about_ca_system_score_codex":0.00016447486,"about_ca_system_score_gemma":0.00025648822,"threshold_uncertainty_score":0.011098564},"labels":[],"label_agreement":null},{"id":"W2020099338","doi":"10.1145/380666.380668","title":"Alain Fournier, 1943-2000","year":2000,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer graphics (images); Computer science","score_opus":0.012032017214090708,"score_gpt":0.21570734345230363,"score_spread":0.20367532623821294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020099338","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023989966,0.1514391,0.002322902,0.26079574,0.08571143,0.000060097205,0.00084872986,0.00040885006,0.4960142],"genre_scores_gemma":[0.013842679,0.019851634,0.00035597192,0.013142763,0.0065445825,0.00003087962,0.00015522502,0.00014099796,0.9459353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936503,0.000069055706,0.000028755037,0.0002092184,0.00025146344,0.00007647679],"domain_scores_gemma":[0.99900645,0.00015615787,0.00007630432,0.000043793363,0.00038819367,0.00032910903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008475375,0.0008333061,0.00039308454,0.0008500366,0.002128424,0.005428794,0.0006657179,0.003423052,0.105630055],"category_scores_gemma":[0.0035317237,0.0002613044,0.00019442344,0.0009035574,0.0010895737,0.0035282385,0.002370165,0.0031341997,0.0557864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036594934,0.0000106346515,0.00019172841,0.000057823596,0.0000020263033,0.00009176832,0.00010126402,0.00007085243,0.00019245237,0.014229598,0.94284827,0.04216699],"study_design_scores_gemma":[9.891203e-7,0.000002911681,0.00011070747,0.0000364177,5.078795e-7,0.000039855677,0.000025351113,0.0000179401,0.000050848732,0.00061196054,0.9991007,0.0000016987119],"about_ca_topic_score_codex":0.005972251,"about_ca_topic_score_gemma":0.0078095607,"teacher_disagreement_score":0.105630055,"about_ca_system_score_codex":0.0045170044,"about_ca_system_score_gemma":0.0013939821,"threshold_uncertainty_score":0.35336775},"labels":[],"label_agreement":null},{"id":"W2020451939","doi":"10.1145/2185520.2185553","title":"Fit and diverse","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":165,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Crossover; Set (abstract data type); Population; Computer science; Diversity (politics); Fitness landscape; Artificial intelligence","score_opus":0.03268224356594958,"score_gpt":0.23773416012936172,"score_spread":0.20505191656341215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020451939","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15653695,0.00093673076,0.7934935,0.0014156757,0.00026129713,0.00013193075,0.000259593,0.001015451,0.045948904],"genre_scores_gemma":[0.80316603,0.0005700094,0.1788089,0.0010222744,0.000098928635,0.00025427665,0.0005707408,0.00053848856,0.014970507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983182,0.00037539157,0.000078928046,0.00038623146,0.00067665405,0.00016460894],"domain_scores_gemma":[0.99754626,0.00090565433,0.00018006226,0.0007613011,0.00037017482,0.00023649627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013029577,0.00075007166,0.00081431,0.0010891425,0.0012737681,0.0022436331,0.0015249874,0.0016675655,0.0061706235],"category_scores_gemma":[0.007782848,0.00045396094,0.0010806596,0.000700047,0.0016499253,0.0029059264,0.0038757608,0.0018011634,0.0013419917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002894956,0.00031612342,0.012794469,0.00036685736,0.00031692078,0.0015630191,0.0021502513,0.21197072,0.071224414,0.38671875,0.010932419,0.30135655],"study_design_scores_gemma":[0.00009377875,0.00071703224,0.0045479415,0.0001417664,0.00019406037,0.0048976294,0.00067600654,0.5034305,0.02430449,0.37819484,0.08260645,0.00019546792],"about_ca_topic_score_codex":0.00056305435,"about_ca_topic_score_gemma":0.0007060879,"teacher_disagreement_score":0.0061706235,"about_ca_system_score_codex":0.0006318399,"about_ca_system_score_gemma":0.00053642667,"threshold_uncertainty_score":0.020642817},"labels":[],"label_agreement":null},{"id":"W2021347102","doi":"10.1145/2661229.2661260","title":"FlexISP","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":297,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Pipeline (software); Artificial intelligence; Computer vision; Image (mathematics); Demosaicing; Noise reduction; Deconvolution; Representation (politics); Blind deconvolution; Image processing; Image restoration; Computer graphics (images); Algorithm; Color image","score_opus":0.018755852424484534,"score_gpt":0.2772893836884317,"score_spread":0.2585335312639472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021347102","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065628197,0.0016807009,0.2975427,0.0013453355,0.0013696292,0.0006012009,0.016173398,0.28263733,0.3920869],"genre_scores_gemma":[0.108923644,0.0022744576,0.21559659,0.0032903338,0.0008266957,0.0012036574,0.07448541,0.04827769,0.54512155],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991906,0.00007102369,0.000049923106,0.00020260649,0.0003435679,0.00014226015],"domain_scores_gemma":[0.9989097,0.00013363712,0.000043618034,0.0004513011,0.00033862548,0.00012313224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000772083,0.0019123472,0.00086073537,0.0015257921,0.0012212255,0.0030851173,0.003091258,0.0019338496,0.25582024],"category_scores_gemma":[0.001985014,0.00083686307,0.0008041039,0.0012709728,0.0005416289,0.0037918284,0.0036285883,0.0018077105,0.21141417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008636249,0.00016221151,0.0009400522,0.00054230157,0.00005930709,0.00044816107,0.00025241633,0.0028743357,0.019577853,0.02730878,0.52151597,0.425455],"study_design_scores_gemma":[0.00010685586,0.00010242659,0.00068934937,0.00007595136,0.000024623816,0.0005024051,0.00008222629,0.018222319,0.019083902,0.013041238,0.94800705,0.00006157407],"about_ca_topic_score_codex":0.0025877035,"about_ca_topic_score_gemma":0.0027006932,"teacher_disagreement_score":0.25582024,"about_ca_system_score_codex":0.00086486863,"about_ca_system_score_gemma":0.0012207243,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2022922662","doi":"10.1145/2508363.2508393","title":"Projective analysis for 3D shape segmentation","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; Israel Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Shape analysis (program analysis); Segmentation; Computer science; Projection (relational algebra); Artificial intelligence; Piecewise; Computer vision; Mathematics; Pattern recognition (psychology); Topology (electrical circuits); Algorithm; Combinatorics; Mathematical analysis","score_opus":0.021601987089982084,"score_gpt":0.2657111968470783,"score_spread":0.24410920975709618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022922662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013136343,0.000081156686,0.99690884,0.000054005224,0.000012461316,0.000022171396,0.0000993435,0.0007135447,0.0007949095],"genre_scores_gemma":[0.09543431,0.0005097732,0.9001682,0.00015391594,0.00009774455,0.00017300285,0.001208572,0.0008546675,0.001399745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977223,0.0004000182,0.00012118048,0.000587922,0.0009925494,0.00017596882],"domain_scores_gemma":[0.99776495,0.00057397387,0.0002632197,0.0007861863,0.00051578734,0.00009593397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447475,0.0015197014,0.0012204831,0.0036808217,0.0010421864,0.003856164,0.0022611646,0.0015273839,0.0058362717],"category_scores_gemma":[0.0054581533,0.0011930958,0.002268101,0.0031839302,0.0025813668,0.0034093573,0.003868777,0.0023836982,0.003025117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016504894,0.000077594355,0.002324143,0.0004520304,0.0002010051,0.00048663627,0.00070805097,0.22494277,0.045038667,0.27013326,0.009545402,0.44592535],"study_design_scores_gemma":[0.000009421191,0.00006221101,0.00092657417,0.000046947196,0.00003237783,0.0004341784,0.00012961695,0.8448668,0.015393167,0.121238165,0.016804187,0.000056475958],"about_ca_topic_score_codex":0.0027826498,"about_ca_topic_score_gemma":0.0028391194,"teacher_disagreement_score":0.0058362717,"about_ca_system_score_codex":0.0014884591,"about_ca_system_score_gemma":0.0013494072,"threshold_uncertainty_score":0.019524276},"labels":[],"label_agreement":null},{"id":"W2024181068","doi":"10.1145/2366145.2366178","title":"Structural optimization of 3D masonry buildings","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Samsung","keywords":"Soundness; Vertex (graph theory); Masonry; Displacement (psychology); Computer science; Orientation (vector space); Gradient descent; Measure (data warehouse); Minification; Geometry; Structural engineering; Mathematics; Mathematical optimization; Engineering; Artificial intelligence; Theoretical computer science","score_opus":0.011544403228624269,"score_gpt":0.22111020505514808,"score_spread":0.20956580182652382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024181068","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15666537,0.0004381783,0.8267804,0.0005047118,0.000063897765,0.000046333116,0.00016247193,0.00028225675,0.015056414],"genre_scores_gemma":[0.8926767,0.00026859954,0.10077967,0.00011923867,0.000029634604,0.00009263937,0.00016870376,0.00019914193,0.005665784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998313,0.00005649881,0.000005922885,0.000026040647,0.000058452097,0.000021708862],"domain_scores_gemma":[0.99974746,0.0001280959,0.00002982897,0.000023073486,0.00004898792,0.000022602466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047119617,0.00051066396,0.00049414305,0.0004625485,0.00023815401,0.0006872234,0.00045027005,0.0008594643,0.0019635332],"category_scores_gemma":[0.0013250192,0.00039782719,0.00039969804,0.00034490187,0.0006666442,0.0004370133,0.0008839091,0.00049688446,0.0003040884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024569177,0.000015894657,0.0002516954,0.000024332454,0.0000070901087,0.000022643924,0.000026854883,0.9788248,0.0025365062,0.008367151,0.0002909897,0.009607506],"study_design_scores_gemma":[0.000004270856,0.000012225354,0.000097631695,0.0000031688887,0.0000016019652,0.000008103378,0.000010081585,0.99475044,0.0003583055,0.0042834263,0.0004685135,0.00000224734],"about_ca_topic_score_codex":0.0017820649,"about_ca_topic_score_gemma":0.002561001,"teacher_disagreement_score":0.0019635332,"about_ca_system_score_codex":0.000643647,"about_ca_system_score_gemma":0.0004488886,"threshold_uncertainty_score":0.0065686703},"labels":[],"label_agreement":null},{"id":"W2025677618","doi":"10.1145/1531326.1531358","title":"Preserving topology and elasticity for embedded deformable models","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Seventh Framework Programme; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Embedding; Computer science; Interpolation (computer graphics); Elasticity (physics); Topology (electrical circuits); Linear elasticity; Stiffness; Algorithm; Mathematics; Finite element method; Computer graphics (images); Artificial intelligence; Animation","score_opus":0.023705104597077552,"score_gpt":0.24187241622487443,"score_spread":0.21816731162779687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025677618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018036995,0.00017802374,0.979122,0.000094005365,0.000034801596,0.00001770192,0.00004293569,0.00018890695,0.002284544],"genre_scores_gemma":[0.6211769,0.0008696332,0.36615738,0.000118263284,0.000071229406,0.00012334646,0.00027497273,0.0003523874,0.010855917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954695,0.0001054298,0.000024892219,0.00006789515,0.00023062644,0.000024134513],"domain_scores_gemma":[0.99932337,0.00023486123,0.000102399164,0.00022287763,0.000067374014,0.000049046503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044699767,0.00064937264,0.000519624,0.000649714,0.00032480323,0.0010231194,0.0009342974,0.00086226594,0.0019012766],"category_scores_gemma":[0.0023042895,0.00041525363,0.00077296305,0.00037666125,0.001185005,0.0024212005,0.0024113515,0.0011895178,0.0005048648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004145464,0.000032191103,0.00030824178,0.00009807097,0.000031144857,0.00024507142,0.00017573708,0.58846325,0.017566916,0.3619259,0.00042235933,0.030689722],"study_design_scores_gemma":[0.000007960566,0.00003643318,0.000103233,0.000011408313,0.000006663834,0.0001392246,0.000024693947,0.836635,0.0036885221,0.15392686,0.005403916,0.00001606547],"about_ca_topic_score_codex":0.000519144,"about_ca_topic_score_gemma":0.00039958776,"teacher_disagreement_score":0.0019012766,"about_ca_system_score_codex":0.00029916593,"about_ca_system_score_gemma":0.00023175491,"threshold_uncertainty_score":0.006360352},"labels":[],"label_agreement":null},{"id":"W2025973801","doi":"10.1145/2816795.2818073","title":"Deep points consolidation","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Consolidation (business); Topological skeleton; Surface (topology); Point (geometry); Geometry; Representation (politics); Medial axis; Artificial intelligence; Computer science; Mathematics; Skeleton (computer programming); Algorithm; Segmentation; Active shape model","score_opus":0.02448748680159069,"score_gpt":0.26425050962238106,"score_spread":0.23976302282079037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025973801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049318857,0.00007270308,0.99365956,0.000036552803,0.00002324703,0.000034816516,0.000035650664,0.00047730072,0.0007283077],"genre_scores_gemma":[0.20153438,0.00024390049,0.790796,0.00021495097,0.00006996541,0.00023855451,0.00061440637,0.0007825196,0.0055052484],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998552,0.00017147101,0.00010817233,0.00028932933,0.0007459393,0.00013308102],"domain_scores_gemma":[0.9978143,0.00043712975,0.00020323458,0.00095763576,0.0004698987,0.000117761774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011985907,0.0013308852,0.0017634437,0.0013599849,0.00054767216,0.0022254558,0.0030793487,0.0017482244,0.0061582136],"category_scores_gemma":[0.004368923,0.0009940108,0.0014298754,0.0015113163,0.0016057632,0.0035037014,0.0051960116,0.0028055578,0.002389934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002963632,0.00016420199,0.0023602068,0.0002650421,0.00013090312,0.0002709049,0.0005023555,0.39090496,0.046129566,0.07218385,0.005718876,0.4810728],"study_design_scores_gemma":[0.000023524082,0.00009445299,0.00032517317,0.000028180535,0.000025341265,0.00016913466,0.00006689141,0.9542468,0.015351468,0.020262068,0.009375218,0.000031795436],"about_ca_topic_score_codex":0.0021456347,"about_ca_topic_score_gemma":0.0027295516,"teacher_disagreement_score":0.0061582136,"about_ca_system_score_codex":0.00073175435,"about_ca_system_score_gemma":0.0011445284,"threshold_uncertainty_score":0.020601213},"labels":[],"label_agreement":null},{"id":"W2026066447","doi":"10.1145/2816795.2818059","title":"Garment modeling with a depth camera","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Focus (optics); Collar; RGB color model; Computer vision; Component (thermodynamics); Computer graphics (images); Engineering drawing; Engineering; Mechanical engineering","score_opus":0.03960576139304622,"score_gpt":0.2346612888814341,"score_spread":0.19505552748838786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026066447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022077575,0.00028734276,0.96992314,0.00010163697,0.000037421687,0.00011320228,0.0004489973,0.0032147109,0.0037960587],"genre_scores_gemma":[0.5098872,0.0014805534,0.47420013,0.00020858292,0.000034559267,0.00021964916,0.0015455384,0.0010339582,0.011389833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951684,0.000041211115,0.000024303847,0.00014542964,0.00022917597,0.00004307876],"domain_scores_gemma":[0.9998178,0.00003086151,0.000026415606,0.00006685173,0.000036799232,0.000021258253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019502743,0.0016795156,0.0007504874,0.0009835454,0.0003249079,0.001413822,0.0011846523,0.0010167651,0.007006482],"category_scores_gemma":[0.00076569605,0.001052554,0.0018820524,0.0006061485,0.00041612957,0.0013615089,0.0015495864,0.0007944287,0.001897321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003338388,0.00013029602,0.003813391,0.00044874448,0.00017599434,0.0007903008,0.000311776,0.5327299,0.15653476,0.0053333095,0.00617346,0.29322422],"study_design_scores_gemma":[0.000014200857,0.00007416495,0.0021514408,0.000043804375,0.000035991285,0.00055618276,0.00007602617,0.95459384,0.03270732,0.0017291221,0.007971842,0.000046039524],"about_ca_topic_score_codex":0.0061709685,"about_ca_topic_score_gemma":0.0071202787,"teacher_disagreement_score":0.007006482,"about_ca_system_score_codex":0.00062910205,"about_ca_system_score_gemma":0.0007447557,"threshold_uncertainty_score":0.02343905},"labels":[],"label_agreement":null},{"id":"W2027276065","doi":"10.1145/2766905","title":"Practical hex-mesh optimization via edge-cone rectification","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Hexahedron; Mathematical optimization; Volume mesh; Computer science; Solver; Algorithm; Robustness (evolution); Mathematics; Finite element method; Mesh generation; Geometry","score_opus":0.06507108894805766,"score_gpt":0.30494604404483766,"score_spread":0.23987495509678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027276065","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015922558,0.00006487172,0.9770299,0.000130279,0.000022878627,0.000055208868,0.00008491367,0.00059265137,0.00609671],"genre_scores_gemma":[0.3039036,0.00010023969,0.689015,0.00013022353,0.000015965785,0.00017779903,0.0003146372,0.00058715354,0.005755354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996723,0.00006184463,0.000016331904,0.000059730046,0.00014984589,0.000039963987],"domain_scores_gemma":[0.9993799,0.00029558726,0.00004467363,0.00010133011,0.00014862906,0.000029768136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090429984,0.0007618868,0.0007209239,0.0003820684,0.00032642146,0.00090078864,0.0009904603,0.0009889934,0.0047788406],"category_scores_gemma":[0.0022181429,0.00045806068,0.0005524734,0.00035642978,0.0007187599,0.0006741491,0.00126011,0.0012352619,0.0009790909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060922153,0.00003451467,0.00065277924,0.000106553525,0.000012463506,0.00012412862,0.000113570364,0.91768306,0.0062317005,0.0179259,0.002638605,0.054415826],"study_design_scores_gemma":[0.000006722966,0.00001130712,0.000035679957,0.0000063574353,0.0000013550485,0.00001849062,0.000014402953,0.9940229,0.001446983,0.00367393,0.0007588712,0.0000030045696],"about_ca_topic_score_codex":0.0022482546,"about_ca_topic_score_gemma":0.0028667373,"teacher_disagreement_score":0.0047788406,"about_ca_system_score_codex":0.00055059744,"about_ca_system_score_gemma":0.0008892827,"threshold_uncertainty_score":0.0159868},"labels":[],"label_agreement":null},{"id":"W2028798176","doi":"10.1145/2185520.2185532","title":"Design preserving garment transfer","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Minification; Clothing; Transfer (computing); Grading (engineering); Set (abstract data type); Quadratic equation; Engineering drawing; Algorithm; Mathematical optimization; Mathematics; Engineering; Programming language","score_opus":0.040669923194621795,"score_gpt":0.23562823301767508,"score_spread":0.1949583098230533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028798176","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010245387,0.00004248503,0.9845451,0.000026605981,0.000023434419,0.00006022823,0.000039041744,0.0023627263,0.0026548966],"genre_scores_gemma":[0.2030171,0.000099031335,0.7859738,0.00008668464,0.000020291123,0.00015045793,0.00030375546,0.0014269253,0.008921933],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990633,0.00010765486,0.0000529449,0.00023512256,0.0004726976,0.00006825368],"domain_scores_gemma":[0.99881697,0.00021762551,0.00010749783,0.00061433256,0.00019878757,0.000044724326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057025155,0.0011952872,0.0007714689,0.0010069439,0.0004905117,0.0010175364,0.0015073136,0.0008925786,0.00817494],"category_scores_gemma":[0.0022320398,0.0005628464,0.0011470873,0.0005168469,0.0007409934,0.001134156,0.0017153746,0.0010165403,0.0029262116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017544665,0.00013527852,0.0008571014,0.00035493725,0.000059521724,0.00039172554,0.00038039102,0.09002197,0.19718347,0.014798591,0.0046964944,0.6909451],"study_design_scores_gemma":[0.000048743477,0.0003391926,0.0011005794,0.000044989894,0.0000555121,0.0011127713,0.00013667982,0.68995214,0.24557886,0.025286313,0.0362786,0.0000655742],"about_ca_topic_score_codex":0.0005285081,"about_ca_topic_score_gemma":0.000860637,"teacher_disagreement_score":0.00817494,"about_ca_system_score_codex":0.00040306078,"about_ca_system_score_gemma":0.00053035683,"threshold_uncertainty_score":0.027347863},"labels":[],"label_agreement":null},{"id":"W2028952633","doi":"10.1145/1360612.1360626","title":"Real-time motion retargeting to highly varied user-created morphologies","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Retargeting; Animation; Computer science; Character animation; Computer graphics (images); Skeletal animation; Motion capture; Computer animation; Inverse kinematics; Motion (physics); Kinematics; Computer facial animation; Solver; Artificial intelligence; Computer vision; Human–computer interaction; Programming language","score_opus":0.022413569486996063,"score_gpt":0.2253619913372327,"score_spread":0.20294842185023665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028952633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08752537,0.000111796304,0.89573383,0.000101082034,0.00009317497,0.00011335971,0.00016433386,0.010263415,0.0058936146],"genre_scores_gemma":[0.65126497,0.00020770215,0.335932,0.00011315478,0.000039664435,0.00016592767,0.0004234498,0.0029318898,0.008921337],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971324,0.000064053056,0.000020853908,0.000086656844,0.00008873047,0.00002640005],"domain_scores_gemma":[0.99926215,0.0003804323,0.000051413273,0.00019863146,0.00006540945,0.000041913896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005082515,0.00066507387,0.0005329852,0.00031998727,0.00027179212,0.0008142922,0.001041262,0.0005496384,0.0053897514],"category_scores_gemma":[0.0026944971,0.0004296217,0.0003880171,0.00019312624,0.00063047354,0.0010570479,0.0018253947,0.0006123801,0.0007834037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080423517,0.00015940068,0.002731879,0.00036632642,0.000080800986,0.0011378484,0.0027893253,0.15226611,0.3442039,0.023890035,0.009290677,0.46227944],"study_design_scores_gemma":[0.00011848449,0.00023854611,0.0014598019,0.000050792547,0.000039718838,0.000524037,0.000246151,0.82523435,0.11547218,0.010094881,0.046446748,0.000074340205],"about_ca_topic_score_codex":0.00068447326,"about_ca_topic_score_gemma":0.0012251303,"teacher_disagreement_score":0.0053897514,"about_ca_system_score_codex":0.00028220296,"about_ca_system_score_gemma":0.00019686697,"threshold_uncertainty_score":0.018030524},"labels":[],"label_agreement":null},{"id":"W2029928474","doi":"10.1145/2461912.2461929","title":"Stylizing animation by example","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Animation; Computer science; Computer graphics (images); Variety (cybernetics); Computer animation; Coherence (philosophical gambling strategy); Key (lock); Computer facial animation; Painting; Non-photorealistic rendering; Texture (cosmology); Artificial intelligence; Multimedia; Image (mathematics); Art; Visual arts; Mathematics","score_opus":0.02979299367461847,"score_gpt":0.27264582000095267,"score_spread":0.2428528263263342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029928474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009856828,0.000523155,0.9269353,0.00028479085,0.00034088854,0.00017673237,0.00022517104,0.0026171675,0.059039984],"genre_scores_gemma":[0.20556085,0.0011559636,0.76164573,0.00028443823,0.00016053733,0.0003475025,0.0004935612,0.0016399467,0.028711412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996624,0.00007790472,0.000021714426,0.00007506843,0.00012091484,0.00004198522],"domain_scores_gemma":[0.99955803,0.00017308074,0.00001922624,0.00017282295,0.00005618525,0.000020678743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041376453,0.00087569584,0.0004462209,0.0007108882,0.00057352474,0.0016547344,0.0007994979,0.0008480937,0.02729214],"category_scores_gemma":[0.0017364589,0.00033030385,0.00070577307,0.00057439867,0.0010214497,0.0015503353,0.0024611952,0.0011484552,0.004748446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002330569,0.00006171198,0.00056975306,0.00070544245,0.00004312659,0.0005366646,0.001603802,0.048637383,0.0914641,0.48423475,0.032579664,0.33933052],"study_design_scores_gemma":[0.00009726669,0.00012987216,0.00040847098,0.00020298101,0.000059708986,0.0010226115,0.00030989718,0.2650497,0.040062472,0.16402021,0.5285703,0.00006656389],"about_ca_topic_score_codex":0.00060346833,"about_ca_topic_score_gemma":0.0011765435,"teacher_disagreement_score":0.02729214,"about_ca_system_score_codex":0.0003288914,"about_ca_system_score_gemma":0.00025262928,"threshold_uncertainty_score":0.09130126},"labels":[],"label_agreement":null},{"id":"W2030058567","doi":"10.1145/2167076.2167080","title":"Symmetry-guided texture synthesis and manipulation","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Computing and Communication Foundations; European Regional Development Fund; Division of Computer and Network Systems; Natural Sciences and Engineering Research Council of Canada","keywords":"Leverage (statistics); Homogeneous space; Symmetry (geometry); Texture synthesis; Texture (cosmology); Computer science; Texture filtering; Symmetry group; Artificial intelligence; Pure mathematics; Mathematics; Image texture; Geometry; Image processing; Image (mathematics)","score_opus":0.04197222306316456,"score_gpt":0.29786223875541656,"score_spread":0.255890015692252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030058567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057325875,0.0001947544,0.9873647,0.00012990511,0.0000761855,0.000047406716,0.000043097916,0.00042260782,0.0059887376],"genre_scores_gemma":[0.24106602,0.0006168712,0.74588674,0.00022220371,0.00013550204,0.00021210696,0.00017148201,0.0005700718,0.0111189475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995289,0.00006091105,0.000018917779,0.00009818763,0.00022369526,0.000069431044],"domain_scores_gemma":[0.9997117,0.00007384174,0.000039171377,0.00009841063,0.000051533425,0.000025284717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045720607,0.00059947756,0.00062731066,0.000766574,0.00048588266,0.001276229,0.0009294894,0.0006813993,0.0044578565],"category_scores_gemma":[0.0010655167,0.00038024088,0.0007609751,0.00042835643,0.0011273695,0.0011483768,0.0014490362,0.0011160866,0.0011387022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023130789,0.00009744915,0.00035159566,0.00023599918,0.000050419785,0.00020571654,0.00028990937,0.11693741,0.23638055,0.37473923,0.0049587428,0.26552173],"study_design_scores_gemma":[0.0000856716,0.00017332367,0.00039379048,0.000046440095,0.00002912709,0.0003095692,0.000083454455,0.7065257,0.06891233,0.18138742,0.04198757,0.00006555509],"about_ca_topic_score_codex":0.00067907356,"about_ca_topic_score_gemma":0.00088399166,"teacher_disagreement_score":0.0044578565,"about_ca_system_score_codex":0.00056168245,"about_ca_system_score_gemma":0.00059845735,"threshold_uncertainty_score":0.0149130225},"labels":[],"label_agreement":null},{"id":"W2030996038","doi":"10.1145/2601097.2601226","title":"Interactive shape modeling using a skeleton-mesh co-representation","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Computer science; Representation (politics); Skeleton (computer programming); Partition (number theory); Topology (electrical circuits); Mesh generation; Triangle mesh; T-vertices; Surface (topology); Computer graphics (images); Topological skeleton; Artificial intelligence; Geometry; Finite element method; Mathematics; Combinatorics; Active shape model; Engineering","score_opus":0.052448505064693014,"score_gpt":0.34922471195105226,"score_spread":0.29677620688635925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030996038","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002017703,0.000039346334,0.99437463,0.000034175497,0.000019582934,0.000019329495,0.000055708697,0.0012425598,0.0021969725],"genre_scores_gemma":[0.11051669,0.0002023583,0.8837456,0.00005477032,0.000030152518,0.00010109933,0.0003328814,0.0007457726,0.004270642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951565,0.000081293976,0.000026540856,0.00010209267,0.00023642392,0.00003798073],"domain_scores_gemma":[0.99953055,0.00012277548,0.000032827436,0.00018134178,0.000095879994,0.000036590965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041760923,0.000643696,0.0006030081,0.0011130797,0.0005197624,0.0017766384,0.001269792,0.00086049264,0.009041881],"category_scores_gemma":[0.001438423,0.00044483875,0.0013352475,0.000977154,0.0009380182,0.0018319583,0.0027671943,0.0010488918,0.002262047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018071053,0.000083663166,0.0010717937,0.00035006204,0.000071794406,0.00065422914,0.0008366839,0.28824136,0.08634344,0.28036848,0.010949672,0.33084807],"study_design_scores_gemma":[0.0000131854285,0.00005277779,0.00017707494,0.000035171674,0.000016954242,0.00053684355,0.000060592032,0.92079395,0.014904951,0.030243287,0.033135004,0.000030181456],"about_ca_topic_score_codex":0.0010516739,"about_ca_topic_score_gemma":0.001277517,"teacher_disagreement_score":0.009041881,"about_ca_system_score_codex":0.00042386635,"about_ca_system_score_gemma":0.00044869568,"threshold_uncertainty_score":0.030248106},"labels":[],"label_agreement":null},{"id":"W2031760064","doi":"10.1145/2461912.2461933","title":"Learning part-based templates from large collections of 3D shapes","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":240,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Computer and Network Systems; Seventh Framework Programme; Natural Sciences and Engineering Research Council of Canada; Google; International Science and Technology Center; Adobe Systems; Division of Computing and Communication Foundations; Intel Corporation","keywords":"Computer science; Segmentation; Scalability; Template; Set (abstract data type); Point (geometry); Matching (statistics); Similarity (geometry); Data mining; Probabilistic logic; Artificial intelligence; Encoding (memory); Pattern recognition (psychology); Image (mathematics); Database; Mathematics","score_opus":0.013623423771213432,"score_gpt":0.21027784238455915,"score_spread":0.19665441861334573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031760064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021187421,0.00051299046,0.96271485,0.00019801794,0.00007697855,0.00022841054,0.001585438,0.012651242,0.0008446191],"genre_scores_gemma":[0.1537202,0.00078858325,0.82576376,0.0003443789,0.00013797192,0.0004321228,0.014069444,0.002071314,0.0026722266],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971541,0.00028622433,0.00016735759,0.0013390287,0.0008631302,0.00019012648],"domain_scores_gemma":[0.99534035,0.00123034,0.00042248314,0.0022052121,0.00056412286,0.00023754955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020018048,0.0029995663,0.0042967615,0.005457142,0.0011959511,0.0035333468,0.0063687433,0.0044474276,0.0029311],"category_scores_gemma":[0.006227811,0.0027853346,0.0065886825,0.0074144,0.0018677872,0.0043048295,0.0038300431,0.0032648863,0.0064924173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003536848,0.00031137114,0.00747263,0.0003107894,0.00046426078,0.00055690337,0.0003417585,0.246413,0.022049638,0.004511397,0.019713692,0.69750094],"study_design_scores_gemma":[0.000023617182,0.0000864001,0.0015971106,0.000026203916,0.000071435,0.0005423435,0.000110338806,0.9730758,0.008654933,0.011862603,0.0039011193,0.000048191458],"about_ca_topic_score_codex":0.0071147964,"about_ca_topic_score_gemma":0.011144323,"teacher_disagreement_score":0.0071147964,"about_ca_system_score_codex":0.0016589535,"about_ca_system_score_gemma":0.0021308702,"threshold_uncertainty_score":0.014146745},"labels":[],"label_agreement":null},{"id":"W2033483472","doi":"10.1145/2661229.2661242","title":"Quality-driven poisson-guided autoscanning","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Israel Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Computer vision; Poisson distribution; Artificial intelligence; Completeness (order theory); Fidelity; Robot; Mobile robot; Scanner; Field (mathematics); Object (grammar); Mathematics; Statistics","score_opus":0.030417261380259273,"score_gpt":0.26804301927213403,"score_spread":0.23762575789187476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033483472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009856046,0.0000722284,0.9880243,0.000032140844,0.000013898223,0.00003684414,0.000031453932,0.0010894713,0.0008436165],"genre_scores_gemma":[0.25838578,0.000120658464,0.73762685,0.00010333319,0.00002351646,0.00014049707,0.00032742697,0.0008697702,0.002402133],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989766,0.00011593811,0.00004157512,0.00018913017,0.0005886077,0.00008811817],"domain_scores_gemma":[0.99846447,0.0005223565,0.0001836364,0.00032458495,0.00044735178,0.00005760884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083055545,0.0006422272,0.000771545,0.0010356628,0.00036350047,0.000975891,0.0019765415,0.00076576136,0.00275582],"category_scores_gemma":[0.0030453887,0.0008064559,0.00088377856,0.00086922746,0.0007500794,0.0008690436,0.0015080846,0.0008238111,0.00081811793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003140359,0.0000979913,0.003265391,0.00022638698,0.00010442089,0.0002034672,0.00047854602,0.44130856,0.071900524,0.014923026,0.0035138438,0.4636638],"study_design_scores_gemma":[0.000016870452,0.000039239192,0.000489931,0.000006658634,0.000008993095,0.00012879528,0.000024951227,0.9828993,0.011559005,0.0029801598,0.0018259314,0.000020301113],"about_ca_topic_score_codex":0.004761844,"about_ca_topic_score_gemma":0.0073762536,"teacher_disagreement_score":0.004761844,"about_ca_system_score_codex":0.0007103525,"about_ca_system_score_gemma":0.0014162908,"threshold_uncertainty_score":0.009468257},"labels":[],"label_agreement":null},{"id":"W2033592732","doi":"10.1145/2591010","title":"Edit propagation using geometric relationship functions","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Austrian Science Fund","keywords":"Polygon (computer graphics); Vertex (graph theory); Computer science; Point (geometry); Geometric primitive; Boundary (topology); Edit distance; Computer graphics; Vector graphics; Homogeneous space; Set (abstract data type); Graphics; Geometric modeling; Theoretical computer science; Computer graphics (images); Mathematics; Algorithm; Geometry; Frame (networking); Mathematical analysis","score_opus":0.047360474771104374,"score_gpt":0.2911229004561711,"score_spread":0.24376242568506673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033592732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004608709,0.00007711018,0.9926293,0.000042138763,0.000029230063,0.00002714779,0.000041351952,0.0017875556,0.00075751106],"genre_scores_gemma":[0.119036004,0.00018201389,0.87556064,0.00009495964,0.000072101226,0.00013267946,0.0002501467,0.0010383374,0.0036330936],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970734,0.00043420275,0.00014878438,0.00063099415,0.0015235606,0.0001889705],"domain_scores_gemma":[0.9948637,0.002132405,0.00046935506,0.001341431,0.0010203561,0.00017270955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019090681,0.0013614745,0.0010800035,0.0036993606,0.0010732501,0.0024911086,0.0026982375,0.0015406763,0.0049660373],"category_scores_gemma":[0.010117586,0.0009536957,0.00133381,0.0025098263,0.0010597717,0.0043331683,0.003033373,0.0020113937,0.001732684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021269837,0.00018620517,0.0015896742,0.0002274668,0.00010501636,0.0003569982,0.0008880504,0.12152345,0.05538514,0.076413,0.0066947513,0.73641753],"study_design_scores_gemma":[0.000062487925,0.0001635092,0.00077224674,0.00002837627,0.00005120365,0.00051004783,0.00013298061,0.8721041,0.04762741,0.05500291,0.023441222,0.00010340433],"about_ca_topic_score_codex":0.0023494298,"about_ca_topic_score_gemma":0.0031971752,"teacher_disagreement_score":0.0049660373,"about_ca_system_score_codex":0.0007890756,"about_ca_system_score_gemma":0.0008066615,"threshold_uncertainty_score":0.016613066},"labels":[],"label_agreement":null},{"id":"W2034699325","doi":"10.1145/1037957.1037960","title":"Simulating the dynamics of auroral phenomena","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Geophysics; Computer science; Physics; Ray tracing (physics); Computer graphics; Statistical physics; Computational physics; Computer graphics (images); Optics","score_opus":0.022343931857622183,"score_gpt":0.2661314956976375,"score_spread":0.24378756384001532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034699325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6518381,0.0004874337,0.30962828,0.00074009725,0.00017573763,0.00016651713,0.0006900384,0.0026800968,0.03359354],"genre_scores_gemma":[0.96822494,0.00026457183,0.026753958,0.00006399062,0.000021574304,0.00008182246,0.0002541019,0.00015892723,0.0041761785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988866,0.000028517425,0.0000055751057,0.000018436622,0.00003735591,0.000021509912],"domain_scores_gemma":[0.9997702,0.00011138104,0.00002408476,0.00003214766,0.000028130242,0.000034074423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018406358,0.00048420613,0.00045869994,0.0003549759,0.00050583924,0.0012411193,0.00071404374,0.0010251729,0.0036640984],"category_scores_gemma":[0.0010108266,0.00032099863,0.00056132115,0.00031911477,0.0006756319,0.0007621976,0.0011348953,0.0005907183,0.00029024636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004573037,0.000028429668,0.0009214732,0.000029662573,0.000013855289,0.00011224299,0.00013434752,0.98399377,0.005550764,0.003791635,0.00049695984,0.0048811687],"study_design_scores_gemma":[0.000016497777,0.000017323871,0.00032007304,0.0000037488767,0.0000036919278,0.000035305628,0.000032967706,0.9963081,0.00084222574,0.0013532476,0.0010593659,0.0000075675894],"about_ca_topic_score_codex":0.00861398,"about_ca_topic_score_gemma":0.0044271797,"teacher_disagreement_score":0.00861398,"about_ca_system_score_codex":0.00060702406,"about_ca_system_score_gemma":0.0006178272,"threshold_uncertainty_score":0.017127693},"labels":[],"label_agreement":null},{"id":"W2035104324","doi":"10.1145/2601097.2601215","title":"Active volumetric musculoskeletal systems","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Eye Institute; Canada Foundation for Innovation","keywords":"Discretization; Dynamics (music); Computer science; Volume (thermodynamics); Deformation (meteorology); Biological system; Computer vision; Simulation; Materials science; Physics; Acoustics; Mathematics; Biology; Mathematical analysis","score_opus":0.010233951878334716,"score_gpt":0.21745712264343117,"score_spread":0.20722317076509644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035104324","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007796526,0.00024024118,0.9850664,0.00015410548,0.000059848513,0.000043944736,0.00020266832,0.00035232733,0.0060838084],"genre_scores_gemma":[0.57791555,0.0012384643,0.40094325,0.00037170196,0.00019515595,0.00043681337,0.0007542626,0.00039246076,0.017752267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996774,0.00007620993,0.000017689832,0.000054139506,0.0001463855,0.000028273555],"domain_scores_gemma":[0.9996879,0.00012000783,0.000048055554,0.000051190156,0.000052533545,0.000040308376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044059136,0.0007359227,0.00059737096,0.00070741243,0.00033364564,0.001177924,0.0018729976,0.0011975316,0.00460451],"category_scores_gemma":[0.001433378,0.00052965106,0.00091040944,0.00047318632,0.0009648459,0.0011300456,0.0020759087,0.0006903938,0.00089408644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041090378,0.000029776944,0.0005004654,0.000111815025,0.000032592823,0.00018183708,0.0001652333,0.8574989,0.009733066,0.102314204,0.0015197543,0.027871307],"study_design_scores_gemma":[0.0000149906655,0.00003125906,0.00010641776,0.000017874821,0.000008845867,0.0001232897,0.000020517773,0.96878326,0.00139346,0.022148203,0.007338027,0.000013825717],"about_ca_topic_score_codex":0.0017321621,"about_ca_topic_score_gemma":0.0015513091,"teacher_disagreement_score":0.00460451,"about_ca_system_score_codex":0.00049933203,"about_ca_system_score_gemma":0.0006628935,"threshold_uncertainty_score":0.015403628},"labels":[],"label_agreement":null},{"id":"W2036777717","doi":"10.1145/2661229.2661244","title":"Approximate pyramidal shape decomposition","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Israel Science Foundation","keywords":"Set (abstract data type); Boundary (topology); Base (topology); Decomposition; Function (biology); Surface (topology); Medial axis; Mathematics; Square pyramidal molecular geometry; Algorithm; Geometry; Computer science; Mathematical analysis; Chemistry; Crystallography","score_opus":0.01217512182459726,"score_gpt":0.23149080319951026,"score_spread":0.219315681374913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036777717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013511366,0.00010305626,0.98119855,0.00005382988,0.000018487406,0.000055414293,0.00020813552,0.0009204729,0.0039307545],"genre_scores_gemma":[0.1952162,0.00021566676,0.7960071,0.00010931921,0.000025028463,0.00013062164,0.0014496185,0.00040214372,0.006444291],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930334,0.00005348272,0.000039470677,0.00013625469,0.00035167555,0.00011578662],"domain_scores_gemma":[0.99937075,0.000144773,0.000046591846,0.00023078796,0.00016471947,0.000042361797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003975677,0.0008797592,0.0011198507,0.00095307577,0.0004511448,0.0012643207,0.0012501809,0.0012484916,0.007894195],"category_scores_gemma":[0.001919561,0.0005757213,0.0012907861,0.001062359,0.0006894864,0.0015126546,0.002144305,0.0010256164,0.0026701132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003069006,0.00007246374,0.0013217493,0.00024419575,0.0000653097,0.00039751583,0.00021287394,0.42757314,0.033874765,0.036142275,0.012281862,0.48750696],"study_design_scores_gemma":[0.00002106823,0.00005328633,0.00021310388,0.000015207808,0.000011713628,0.00030812735,0.00006810059,0.9696269,0.006187312,0.018343396,0.00513977,0.000012105368],"about_ca_topic_score_codex":0.0021054246,"about_ca_topic_score_gemma":0.0027932182,"teacher_disagreement_score":0.007894195,"about_ca_system_score_codex":0.00052669545,"about_ca_system_score_gemma":0.00084227585,"threshold_uncertainty_score":0.026408672},"labels":[],"label_agreement":null},{"id":"W2036959650","doi":"10.1145/1778765.1778766","title":"The Frankencamera","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nokia (Canada)","funders":"National Science Foundation","keywords":"Computer science; Pipeline (software); Photography; Computational photography; Software; Computer graphics (images); Synchronization (alternating current); Implementation; Computer hardware; Architecture; Embedded system; Image processing; Real-time computing; Computer vision; Image (mathematics); Operating system","score_opus":0.011132524860916681,"score_gpt":0.26808205535110297,"score_spread":0.25694953049018626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036959650","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03422578,0.0012211144,0.7407088,0.000852368,0.00048251424,0.000387882,0.0010467032,0.04255135,0.17852348],"genre_scores_gemma":[0.22190663,0.001254485,0.6602825,0.0006060695,0.00009092877,0.00035115273,0.0022834858,0.0062394263,0.10698528],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988558,0.00010564274,0.00007062308,0.00033772583,0.00044241367,0.0001877794],"domain_scores_gemma":[0.9987011,0.0001622948,0.00007841121,0.00047255013,0.00045184328,0.0001337506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067308504,0.0007397995,0.00043157925,0.0011302065,0.0011951608,0.0027815057,0.0016506362,0.0008467021,0.019309329],"category_scores_gemma":[0.0031240613,0.00064279785,0.0006528943,0.00090213586,0.0008318424,0.003572669,0.0029428478,0.0013621976,0.008119327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073588017,0.00011203142,0.0036005455,0.00032242024,0.000047022255,0.00042351946,0.0013792163,0.0050467923,0.02706503,0.2435712,0.06943372,0.64826274],"study_design_scores_gemma":[0.00007171052,0.00014541608,0.0024951156,0.00021828852,0.000054970307,0.0011886089,0.00024814857,0.034629755,0.036584247,0.036823988,0.8874125,0.00012725107],"about_ca_topic_score_codex":0.006435836,"about_ca_topic_score_gemma":0.008338286,"teacher_disagreement_score":0.019309329,"about_ca_system_score_codex":0.0010554413,"about_ca_system_score_gemma":0.0018155645,"threshold_uncertainty_score":0.064596176},"labels":[],"label_agreement":null},{"id":"W2037003494","doi":"10.1145/2461912.2461980","title":"Path-space manipulation of physically-based light transport","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Deutsche Forschungsgemeinschaft; Intel Corporation","keywords":"Rendering (computer graphics); Computer science; Sketch; Computer graphics (images); Global illumination; Computer vision; Artificial intelligence; Algorithm","score_opus":0.01872318462791172,"score_gpt":0.25730274791121616,"score_spread":0.23857956328330443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037003494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03234587,0.00015952771,0.9538236,0.000090630245,0.000056968653,0.000070368566,0.000066944296,0.003779078,0.009606968],"genre_scores_gemma":[0.44738847,0.0005001669,0.5372981,0.00009073569,0.000031378026,0.00011553061,0.00018293007,0.0024339128,0.011958753],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997633,0.00003674873,0.000013157909,0.00004368041,0.0001084072,0.00003475075],"domain_scores_gemma":[0.99952114,0.00020368691,0.000034650937,0.0001467856,0.00005986249,0.000033963654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046289893,0.0006478569,0.0004231756,0.00053287443,0.00050736446,0.0015089917,0.00082423905,0.00047275642,0.008163566],"category_scores_gemma":[0.0016987353,0.0004340254,0.0006430286,0.0003322756,0.00093657593,0.001481532,0.0015782785,0.0010594528,0.0011948785],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002756791,0.00011703843,0.0013412003,0.00055828085,0.000048720947,0.0007817476,0.0022393742,0.084746055,0.40443087,0.19716993,0.0071370313,0.30115402],"study_design_scores_gemma":[0.000104121835,0.00022380534,0.0011721519,0.00011851858,0.00006069187,0.0013667312,0.00036983285,0.5855788,0.23113333,0.0510987,0.12863468,0.00013855855],"about_ca_topic_score_codex":0.0005491483,"about_ca_topic_score_gemma":0.0009905886,"teacher_disagreement_score":0.008163566,"about_ca_system_score_codex":0.00038467455,"about_ca_system_score_gemma":0.00043080648,"threshold_uncertainty_score":0.027309895},"labels":[],"label_agreement":null},{"id":"W2038402279","doi":"10.1145/1073204.1073287","title":"Multi-finger gestural interaction with 3D volumetric displays","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer graphics (images); Leverage (statistics); Visualization; 3D interaction; Computer vision; Virtual reality; Volume rendering; Artificial intelligence; Stereo display; Human–computer interaction; Depth perception; Perception","score_opus":0.02312537820302526,"score_gpt":0.2690496624794349,"score_spread":0.24592428427640964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038402279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10134133,0.00050690386,0.88646394,0.00016915142,0.000060886552,0.00005203137,0.00011596893,0.00287421,0.008415577],"genre_scores_gemma":[0.74144626,0.0005716764,0.25068524,0.00016734755,0.000056607085,0.00011270715,0.00015989307,0.00034078315,0.0064595346],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994804,0.00011855207,0.000025811936,0.00006770682,0.00025160523,0.000055862787],"domain_scores_gemma":[0.9988926,0.0006511659,0.0000970754,0.0002177325,0.000075603544,0.0000658045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038933728,0.0006422468,0.00047898025,0.00034229018,0.0002596732,0.0009989757,0.0010644469,0.0006552809,0.0053270105],"category_scores_gemma":[0.002391624,0.00030709183,0.0005065106,0.00033449059,0.00043424516,0.0012065328,0.0025543957,0.0004506441,0.0007948656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039800382,0.00006268646,0.0008296678,0.00025595946,0.00004628967,0.0007666245,0.0009614032,0.012515023,0.7718307,0.007989139,0.0021383879,0.20220606],"study_design_scores_gemma":[0.0002024985,0.0012190898,0.010989986,0.00023268013,0.00016917905,0.00640328,0.00078059256,0.36975312,0.5179984,0.025835924,0.06606893,0.00034638238],"about_ca_topic_score_codex":0.00033782676,"about_ca_topic_score_gemma":0.0005802114,"teacher_disagreement_score":0.0053270105,"about_ca_system_score_codex":0.00013712588,"about_ca_system_score_gemma":0.00012269891,"threshold_uncertainty_score":0.017820656},"labels":[],"label_agreement":null},{"id":"W2038728278","doi":"10.1145/2508363.2508405","title":"Urban pattern","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Google; Nvidia; National Science Foundation","keywords":"Template; Streamlines, streaklines, and pathlines; Computer science; Domain (mathematical analysis); Field (mathematics); Computer graphics (images); Space (punctuation); Topology (electrical circuits); Computational science; Geometry; Algorithm; Mathematics; Engineering","score_opus":0.020860196676939884,"score_gpt":0.26410392609733474,"score_spread":0.24324372942039485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038728278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017060972,0.000111697955,0.9779203,0.00013447492,0.000054968517,0.000090579895,0.0017873889,0.003163606,0.015030984],"genre_scores_gemma":[0.05064291,0.00030540754,0.92299765,0.00009111782,0.0000356076,0.00029554372,0.0056987326,0.0012112637,0.018721733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996125,0.000048646834,0.000022053597,0.00010892513,0.00016901719,0.00003887269],"domain_scores_gemma":[0.9997452,0.000032513846,0.000016279162,0.00010448849,0.00007404166,0.000027470973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003100321,0.00077937753,0.00048159398,0.0016768785,0.0007885228,0.0020751324,0.0015903428,0.00068067334,0.025108598],"category_scores_gemma":[0.0009234247,0.00051685673,0.0014040953,0.0018936394,0.0006018971,0.0014821636,0.0015612303,0.0009154341,0.008331727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000585876,0.000080732934,0.0022457223,0.0003463932,0.00007933286,0.00027509392,0.00043165658,0.09721162,0.005561254,0.43222055,0.064468905,0.3970202],"study_design_scores_gemma":[0.000027033688,0.000031450913,0.00097537955,0.000059604,0.00003182714,0.0004553859,0.00019369491,0.30251253,0.0058182147,0.15239635,0.5374569,0.00004167396],"about_ca_topic_score_codex":0.0062110233,"about_ca_topic_score_gemma":0.017201923,"teacher_disagreement_score":0.025108598,"about_ca_system_score_codex":0.0006341527,"about_ca_system_score_gemma":0.0008555019,"threshold_uncertainty_score":0.08399665},"labels":[],"label_agreement":null},{"id":"W2038839102","doi":"10.1145/2816795.2818115","title":"Surface turbulence for particle-based liquid simulations","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Seeding; Particle (ecology); Surface (topology); Curvature; Turbulence; Computer science; Set (abstract data type); Point (geometry); Smoothed-particle hydrodynamics; Mechanics; Algorithm; Physics; Mathematics; Geometry; Geology","score_opus":0.07331055726953105,"score_gpt":0.3286933630791424,"score_spread":0.2553828058096113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038839102","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013699009,0.0001426648,0.980004,0.00027041027,0.000095118296,0.00007380756,0.000082563005,0.0013535123,0.004278883],"genre_scores_gemma":[0.42746216,0.00034576413,0.56620264,0.0002403504,0.00012316389,0.00051405304,0.0003423272,0.00095311203,0.0038163967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957794,0.00009993718,0.000020362379,0.000035440593,0.00022982186,0.000036469406],"domain_scores_gemma":[0.9991049,0.0004190636,0.000062644314,0.00015267689,0.00017749146,0.00008319816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052700524,0.0006508143,0.00053880824,0.0006810104,0.0007990919,0.0014794321,0.001180264,0.001562838,0.0031838166],"category_scores_gemma":[0.0031446933,0.00047721018,0.00071846816,0.0004891029,0.0009325476,0.0011263689,0.001915725,0.0017951338,0.000943483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009636247,0.00009882363,0.0013104752,0.000117180716,0.000040375446,0.00018407288,0.0001757394,0.85764873,0.025712019,0.07311226,0.002677038,0.03882695],"study_design_scores_gemma":[0.000010313085,0.0000072952607,0.000034666333,0.000003594908,0.0000018963752,0.0000067051583,0.0000034346326,0.99274194,0.0014491364,0.0045995037,0.0011366968,0.0000048139427],"about_ca_topic_score_codex":0.0036206774,"about_ca_topic_score_gemma":0.0024738312,"teacher_disagreement_score":0.0036206774,"about_ca_system_score_codex":0.00087247434,"about_ca_system_score_gemma":0.0011196986,"threshold_uncertainty_score":0.010650933},"labels":[],"label_agreement":null},{"id":"W2040279394","doi":"10.1145/1360612.1360641","title":"Upright orientation of man-made objects","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orientation (vector space); Discriminative model; Artificial intelligence; Computer science; Classifier (UML); Set (abstract data type); Computer vision; Function (biology); Pattern recognition (psychology); Random forest; Geometry; Mathematics","score_opus":0.032523910638631345,"score_gpt":0.2273462546054421,"score_spread":0.19482234396681075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040279394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54799074,0.00041341313,0.44439155,0.00011220022,0.00005643439,0.000056594294,0.00049252505,0.0011083654,0.005378104],"genre_scores_gemma":[0.94630516,0.00023766338,0.051868323,0.000018845034,0.000020105863,0.000013660249,0.00066256593,0.00007860871,0.00079501997],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999749,0.000040149087,0.0000111494455,0.00008067448,0.00008577335,0.000033184926],"domain_scores_gemma":[0.9995608,0.000076507,0.00008127005,0.00009651205,0.0001390028,0.00004592038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002968153,0.0005806562,0.00045513018,0.0011315234,0.00029131645,0.00081095356,0.0004173162,0.00031415958,0.0010381364],"category_scores_gemma":[0.0017078277,0.00021644539,0.00039585546,0.00073218305,0.0006110651,0.00088550826,0.00049573724,0.00033199473,0.0007088934],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007522662,0.0001618753,0.10442184,0.00026699304,0.00008431324,0.0007111406,0.0005276844,0.10942382,0.113377586,0.009670535,0.0039921706,0.6566097],"study_design_scores_gemma":[0.00001740123,0.00026521905,0.12323988,0.00006149576,0.00004424269,0.0011086304,0.00058930874,0.8082372,0.038521998,0.020898078,0.006930401,0.00008618182],"about_ca_topic_score_codex":0.0035579568,"about_ca_topic_score_gemma":0.0052390904,"teacher_disagreement_score":0.0035579568,"about_ca_system_score_codex":0.0003128111,"about_ca_system_score_gemma":0.00027209855,"threshold_uncertainty_score":0.0070744753},"labels":[],"label_agreement":null},{"id":"W2040329620","doi":"10.1145/2366145.2366198","title":"Field-guided registration for feature-conforming shape composition","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Feature (linguistics); Piecewise; Interpolation (computer graphics); Field (mathematics); Salient; Computer science; Artificial intelligence; Surface (topology); Vector field; Algorithm; Computer vision; Mathematics; Pattern recognition (psychology); Geometry; Mathematical analysis; Image (mathematics)","score_opus":0.030774097347295873,"score_gpt":0.2842266811336229,"score_spread":0.25345258378632707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040329620","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004951704,0.000023788325,0.9935161,0.000016536284,0.000011492219,0.000029351893,0.000012106629,0.0009816831,0.00045732158],"genre_scores_gemma":[0.11802775,0.000060560516,0.879178,0.000048630573,0.000017947466,0.00008195596,0.00014633867,0.00068364735,0.0017552167],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991167,0.00012310527,0.00004435405,0.00019770532,0.00044813647,0.000069917805],"domain_scores_gemma":[0.9991781,0.00019287212,0.0001064623,0.00027535539,0.00019940145,0.000047788708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010389428,0.0008593038,0.0010123488,0.0018532304,0.0007264481,0.0010821786,0.0015606381,0.0012269422,0.0034409722],"category_scores_gemma":[0.0022003422,0.0007846716,0.0012713711,0.0010868815,0.0011274205,0.0015219693,0.0022437954,0.0015029659,0.0017276306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030777714,0.00017290602,0.001169852,0.00020162942,0.00008012134,0.00026449602,0.0005379592,0.20923497,0.19801006,0.030188452,0.0037447547,0.5560869],"study_design_scores_gemma":[0.00002544703,0.000109380424,0.00039094748,0.000013541987,0.000018518971,0.00039622202,0.000071866954,0.9151594,0.06479262,0.011726848,0.007246123,0.000049077244],"about_ca_topic_score_codex":0.0015358126,"about_ca_topic_score_gemma":0.0017876126,"teacher_disagreement_score":0.0034409722,"about_ca_system_score_codex":0.00060973887,"about_ca_system_score_gemma":0.0009701664,"threshold_uncertainty_score":0.011511207},"labels":[],"label_agreement":null},{"id":"W2040555343","doi":"10.1145/2661229.2661275","title":"Hierarchical diffusion curves for accurate automatic image vectorization","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Vector graphics; Raster graphics; Artificial intelligence; Curve fitting; Computer vision; Vectorization (mathematics); Laplace operator; Smoothing; Representation (politics); Computer graphics; Pattern recognition (psychology); Mathematics","score_opus":0.018033727609304245,"score_gpt":0.2916603542031201,"score_spread":0.27362662659381587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040555343","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039155134,0.00006173673,0.99094546,0.00006163978,0.000021593216,0.000038201462,0.00011680988,0.0035663554,0.0012726453],"genre_scores_gemma":[0.118630625,0.00031198928,0.87400705,0.000066373344,0.000035811743,0.00012534612,0.00065149844,0.0024977683,0.003673488],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992879,0.000090377354,0.000044762484,0.00012896373,0.00038497144,0.00006302345],"domain_scores_gemma":[0.9982577,0.0005081826,0.00014091334,0.000577159,0.00044006767,0.00007598399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074351474,0.0010405811,0.00062925374,0.0021383772,0.00049896445,0.0019198944,0.0012913081,0.0009123007,0.01000168],"category_scores_gemma":[0.004764606,0.00064322475,0.000873741,0.0016701111,0.0007620546,0.002447167,0.0014809665,0.0019272501,0.003898867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001357032,0.000065389264,0.00083118695,0.00031804893,0.000040137056,0.00018300854,0.0004179375,0.12773193,0.11052812,0.06397628,0.0153865395,0.6803859],"study_design_scores_gemma":[0.000022074646,0.00004858546,0.00031348903,0.000026497686,0.000009940272,0.00026045053,0.0000909343,0.88801235,0.05628337,0.029558545,0.025330096,0.000043701843],"about_ca_topic_score_codex":0.0020092574,"about_ca_topic_score_gemma":0.00295246,"teacher_disagreement_score":0.01000168,"about_ca_system_score_codex":0.0008335678,"about_ca_system_score_gemma":0.00090282207,"threshold_uncertainty_score":0.033459008},"labels":[],"label_agreement":null},{"id":"W2041411484","doi":"10.1145/2461912.2461923","title":"Layered analysis of irregular facades via symmetry maximization","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Facade; Maximization; Symmetry (geometry); Homogeneous space; Computer science; Representation (politics); Layering; Geometry; Mathematics; Mathematical optimization; Structural engineering; Engineering","score_opus":0.017983740226955758,"score_gpt":0.24768695356877873,"score_spread":0.22970321334182298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041411484","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060644755,0.000021067379,0.9932172,0.000021943973,0.000004296448,0.000013756476,0.00002941532,0.00021214853,0.00041578693],"genre_scores_gemma":[0.15085098,0.000073221316,0.8471883,0.000039400613,0.000015821242,0.00007747384,0.00027814333,0.000251989,0.0012246666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995975,0.00006665634,0.00002382967,0.000071734554,0.00018057643,0.000059804515],"domain_scores_gemma":[0.9994516,0.00019554651,0.00007261759,0.000107118976,0.0001307108,0.000042554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074263377,0.0008410384,0.0008031881,0.0015347821,0.0004381619,0.0012836404,0.0011931481,0.00065955863,0.0024646642],"category_scores_gemma":[0.0021776066,0.0004987966,0.0014117453,0.000873136,0.00085984886,0.0015031699,0.0017582522,0.0010825781,0.00080952834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014477137,0.000087156186,0.0019970522,0.0001656804,0.00012266262,0.00018358676,0.00031424814,0.5621054,0.049217805,0.09992983,0.0031486389,0.28258318],"study_design_scores_gemma":[0.0000064333385,0.000018526574,0.000156422,0.0000057992033,0.00000904825,0.00003275905,0.000023896642,0.9707733,0.003837575,0.02409423,0.0010322598,0.000009879841],"about_ca_topic_score_codex":0.0022564651,"about_ca_topic_score_gemma":0.0031163443,"teacher_disagreement_score":0.0024646642,"about_ca_system_score_codex":0.00072139053,"about_ca_system_score_gemma":0.0010854903,"threshold_uncertainty_score":0.0082451105},"labels":[],"label_agreement":null},{"id":"W2041855012","doi":"10.1145/1409060.1409063","title":"Space-time surface reconstruction using incompressible flow","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bounded function; Flow (mathematics); Manifold (fluid mechanics); Computer vision; Space time; Computer science; Surface (topology); Object (grammar); Motion (physics); Incompressible flow; Compressibility; Constant (computer programming); Point (geometry); Space (punctuation); Mathematics; Algorithm; Geometry; Mathematical analysis; Artificial intelligence; Physics; Mechanics","score_opus":0.033572050606090635,"score_gpt":0.2681268038619882,"score_spread":0.23455475325589759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041855012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043058884,0.000065031265,0.9950597,0.000047990987,0.000012754665,0.000009354689,0.000024172201,0.00019330632,0.0002817713],"genre_scores_gemma":[0.16106634,0.0004483082,0.8366161,0.00006016805,0.0000516823,0.000078962046,0.00025084778,0.0001905425,0.001237071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952304,0.00007166659,0.000022169155,0.000062372936,0.0002849565,0.000035699974],"domain_scores_gemma":[0.99942696,0.0001889828,0.00009245478,0.00012316393,0.00013081609,0.000037664428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065134553,0.00064873794,0.00080417906,0.0016024023,0.00029044482,0.0013283121,0.0011674344,0.0010654056,0.0011793245],"category_scores_gemma":[0.0025702273,0.00062851945,0.000836207,0.0012177924,0.00091664813,0.0018307937,0.0014486939,0.001149738,0.00043063652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009815941,0.00006176271,0.00095804385,0.00015869093,0.000055004915,0.0003443113,0.00028872374,0.69310427,0.054042067,0.07005598,0.0017333413,0.17909965],"study_design_scores_gemma":[0.000006146963,0.000017349512,0.0000976405,0.000006231706,0.0000033755189,0.000081500504,0.0000137040215,0.9838446,0.0059713316,0.008287021,0.001659041,0.0000121004705],"about_ca_topic_score_codex":0.0022159172,"about_ca_topic_score_gemma":0.0018279527,"teacher_disagreement_score":0.0022159172,"about_ca_system_score_codex":0.0004860612,"about_ca_system_score_gemma":0.0009771637,"threshold_uncertainty_score":0.004406035},"labels":[],"label_agreement":null},{"id":"W2041945014","doi":"10.1145/2185520.2185557","title":"Ghost SPH for animating water","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Innovation Council","keywords":"Smoothed-particle hydrodynamics; Extrapolation; Spurious relationship; Surface tension; Mechanics; Computer science; Viscosity; Particle (ecology); Boundary (topology); Physics; Mathematics; Geology; Mathematical analysis","score_opus":0.01837501779128532,"score_gpt":0.24878619996375084,"score_spread":0.23041118217246553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041945014","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076953755,0.00032292164,0.9785342,0.00034423938,0.00028793124,0.00005682808,0.0001892794,0.003615144,0.008953969],"genre_scores_gemma":[0.25698,0.0006566347,0.7258902,0.00045052698,0.0002062712,0.0002809928,0.0005156681,0.0018904066,0.013129371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997367,0.000048626713,0.000011632987,0.000034117955,0.00014684627,0.00002200163],"domain_scores_gemma":[0.9995235,0.00019552704,0.00003453427,0.00009797833,0.00008369389,0.00006484303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047839255,0.0004941982,0.00058422907,0.00066711486,0.00069280504,0.0010851506,0.0013790191,0.0012328235,0.006743284],"category_scores_gemma":[0.0021707232,0.0004710637,0.0006233966,0.0005139886,0.0009203031,0.0014532614,0.0024393143,0.0014893487,0.0014380243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027491187,0.0000766271,0.0015182568,0.00030656176,0.00008127903,0.0005465873,0.00051420456,0.5923386,0.03495281,0.18877739,0.020344572,0.16026814],"study_design_scores_gemma":[0.00002999807,0.000012643127,0.000067796034,0.000012899192,0.000006127393,0.000052040396,0.000012962714,0.9668531,0.0032503635,0.01724076,0.012446704,0.000014649369],"about_ca_topic_score_codex":0.0024946835,"about_ca_topic_score_gemma":0.0020212047,"teacher_disagreement_score":0.006743284,"about_ca_system_score_codex":0.00071280356,"about_ca_system_score_gemma":0.0008698956,"threshold_uncertainty_score":0.02255851},"labels":[],"label_agreement":null},{"id":"W2042718509","doi":"10.1145/2558307","title":"Computing smooth surface contours with accurate topology","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Surface (topology); Computer science; Consistency (knowledge bases); Subdivision; Representation (politics); Topology (electrical circuits); Tessellation (computer graphics); Visibility; Algorithm; Mathematics; Computer vision; Artificial intelligence; Computer graphics (images); Geometry","score_opus":0.01069633877148749,"score_gpt":0.2462554775732553,"score_spread":0.23555913880176782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042718509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019841464,0.00004450936,0.97806156,0.000052744945,0.000017267495,0.000025883195,0.000032357515,0.00090365484,0.0010204057],"genre_scores_gemma":[0.3068359,0.0001468765,0.6903122,0.000041560197,0.000024424382,0.000059940932,0.00024021984,0.00083595066,0.0015029098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992632,0.00007684703,0.000036313293,0.00009197867,0.00047047244,0.000061080114],"domain_scores_gemma":[0.9983028,0.0007044749,0.0001339018,0.00045691396,0.0003279082,0.00007404025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072463683,0.00067743665,0.0007373235,0.0014034263,0.00049275643,0.0023653079,0.0011782247,0.0012341382,0.002547401],"category_scores_gemma":[0.006590736,0.0008983899,0.00091310684,0.00077649456,0.00097292947,0.0021565743,0.0020465904,0.0012690404,0.0010094407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017722865,0.00004899508,0.0022946785,0.00020732412,0.000052380798,0.00045094412,0.00062370155,0.6051898,0.078447714,0.06196448,0.0027943563,0.24774832],"study_design_scores_gemma":[0.000013724795,0.000027410624,0.00019971299,0.000009414912,0.0000053964995,0.00010555566,0.000043100805,0.9692377,0.009777266,0.017777555,0.0027895984,0.000013546397],"about_ca_topic_score_codex":0.001777783,"about_ca_topic_score_gemma":0.0020357226,"teacher_disagreement_score":0.002547401,"about_ca_system_score_codex":0.0006656728,"about_ca_system_score_gemma":0.00084998395,"threshold_uncertainty_score":0.008521974},"labels":[],"label_agreement":null},{"id":"W2043682027","doi":"10.1145/1015706.1015750","title":"Fast hierarchical importance sampling with blue noise properties","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Rendering (computer graphics); Computer science; Fibonacci number; Computer graphics; Sampling (signal processing); Algorithm; Sample (material); Graphics; Noise (video); Computer graphics (images); Artificial intelligence; Computer vision; Mathematics","score_opus":0.034359321684186046,"score_gpt":0.2575270295874086,"score_spread":0.22316770790322255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043682027","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010027439,0.00007231295,0.9885848,0.000037141144,0.00001717827,0.000024581032,0.000016167438,0.00021793574,0.0010023362],"genre_scores_gemma":[0.294953,0.00013877657,0.70150113,0.00010919616,0.000049056565,0.00015992612,0.00014632574,0.00017234236,0.0027702309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992557,0.0001633836,0.000026126494,0.000078505866,0.00041087638,0.00006549866],"domain_scores_gemma":[0.99864656,0.0007348194,0.00009128541,0.00023401332,0.00021778498,0.00007558305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009566038,0.00045889476,0.00056812627,0.00071878696,0.00047946675,0.0005569378,0.00088687957,0.0004970618,0.0017831093],"category_scores_gemma":[0.0042241435,0.00040249384,0.00044233233,0.000600932,0.000664606,0.0009014532,0.0012535701,0.0008099828,0.0004746226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000553393,0.00011094739,0.0017709867,0.00026400725,0.000056476965,0.00025844944,0.0005326333,0.45756906,0.0751865,0.13256027,0.003657528,0.32747975],"study_design_scores_gemma":[0.000022194512,0.00002986564,0.00016154314,0.0000055978826,0.000005912717,0.00004749142,0.00001089529,0.98061657,0.006934797,0.01060636,0.0015507092,0.000008094499],"about_ca_topic_score_codex":0.0023228177,"about_ca_topic_score_gemma":0.003470874,"teacher_disagreement_score":0.0023228177,"about_ca_system_score_codex":0.00067350245,"about_ca_system_score_gemma":0.0006451707,"threshold_uncertainty_score":0.005965054},"labels":[],"label_agreement":null},{"id":"W2044032519","doi":"10.1145/2766914","title":"Interaction context (ICON)","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Simon Fraser University","funders":"","keywords":"Icon; Computer science; Object (grammar); Context (archaeology); Feature (linguistics); Artificial intelligence; Similarity (geometry); Computer vision; Segmentation; Shape analysis (program analysis); Image (mathematics); Geography","score_opus":0.040496402170142096,"score_gpt":0.25472251382096406,"score_spread":0.21422611165082195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044032519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046244644,0.004086484,0.8614777,0.000704895,0.0011773728,0.0008446415,0.006244014,0.0081265755,0.071093634],"genre_scores_gemma":[0.5463541,0.0018174412,0.4175744,0.0008930615,0.000421062,0.0010942405,0.009076271,0.0014479192,0.021321531],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802643,0.0002366144,0.00016301477,0.0005285803,0.00072938483,0.00031587467],"domain_scores_gemma":[0.99792945,0.00045094595,0.0002232174,0.00055164605,0.00058879034,0.00025599275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007182676,0.0016049012,0.0009839358,0.0035520177,0.0012552291,0.0030525082,0.0014453778,0.0013829574,0.013139982],"category_scores_gemma":[0.004171607,0.00040806294,0.0011547183,0.0024280918,0.001756406,0.0045433976,0.0039353436,0.0012570956,0.0031383452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010780451,0.00029970353,0.010379109,0.0018300595,0.00015159568,0.0017446852,0.0023579875,0.012909136,0.043647356,0.3582264,0.055300355,0.51207566],"study_design_scores_gemma":[0.00008883682,0.0008249805,0.015443434,0.00058197445,0.00035070963,0.0045107636,0.001999579,0.12175088,0.03650091,0.15938784,0.65809864,0.00046156527],"about_ca_topic_score_codex":0.005520902,"about_ca_topic_score_gemma":0.0059707994,"teacher_disagreement_score":0.013139982,"about_ca_system_score_codex":0.0011397017,"about_ca_system_score_gemma":0.0013013477,"threshold_uncertainty_score":0.04395765},"labels":[],"label_agreement":null},{"id":"W2045323633","doi":"10.1145/2366145.2366200","title":"Multi-scale partial intrinsic symmetry detection","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National High-tech Research and Development Program; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Scale (ratio); Cluster analysis; Symmetry (geometry); Homogeneous space; Point (geometry); Cluster (spacecraft); Spectral clustering; Mathematics; Physics; Statistical physics; Topology (electrical circuits); Pattern recognition (psychology); Combinatorics; Geometry; Artificial intelligence; Computer science; Statistics; Quantum mechanics","score_opus":0.032232571041160195,"score_gpt":0.27470990750530916,"score_spread":0.24247733646414896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045323633","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010115706,0.00006552727,0.987563,0.000047585207,0.000020676487,0.00006480685,0.00007875497,0.0010831268,0.00096072385],"genre_scores_gemma":[0.1117897,0.0000849085,0.88561416,0.000047072834,0.000021725351,0.00007823921,0.00033654147,0.00026229292,0.0017652703],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891984,0.00009414692,0.00005379478,0.00023848185,0.00055594515,0.00013770847],"domain_scores_gemma":[0.9988238,0.00017815367,0.0001450126,0.00040273636,0.00037438853,0.00007584662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000872358,0.00087997713,0.0010429388,0.0026424583,0.0007226129,0.0015033775,0.0016717719,0.0010058379,0.004215352],"category_scores_gemma":[0.0023202533,0.00055050006,0.001586443,0.0016326592,0.00077838707,0.0015516587,0.002205133,0.0010954234,0.0023034874],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026794866,0.000116034105,0.0035928949,0.00021879138,0.00011845071,0.00033600954,0.00024098837,0.03865115,0.09577133,0.018712157,0.0060061747,0.8359682],"study_design_scores_gemma":[0.000035461064,0.00009961988,0.0034074192,0.000022077063,0.00003915009,0.0007843778,0.00015548413,0.91424125,0.052030984,0.019609915,0.0095134415,0.000060748906],"about_ca_topic_score_codex":0.0019094505,"about_ca_topic_score_gemma":0.003132317,"teacher_disagreement_score":0.004215352,"about_ca_system_score_codex":0.000652712,"about_ca_system_score_gemma":0.0009849459,"threshold_uncertainty_score":0.014101803},"labels":[],"label_agreement":null},{"id":"W2045699115","doi":"10.1145/1477926.1477931","title":"A tool to create illuminant and reflectance spectra for light-driven graphics and visualization","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Standard illuminant; Computer science; Rendering (computer graphics); Computer graphics (images); Computer vision; Artificial intelligence; Visualization","score_opus":0.021838062219202575,"score_gpt":0.30940909428061936,"score_spread":0.28757103206141676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045699115","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010363503,0.00002479535,0.9885309,0.0000344516,0.000021966749,0.000024543757,0.00011019667,0.0089352615,0.0012815348],"genre_scores_gemma":[0.045058668,0.00015666106,0.9456125,0.0000823916,0.000027954751,0.00020377304,0.00043918603,0.004706713,0.003712155],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996468,0.000057392994,0.000019484942,0.00005094406,0.00019738788,0.000028027587],"domain_scores_gemma":[0.9993356,0.0002823739,0.000047265625,0.00016637071,0.00011733159,0.00005106238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069287606,0.001217916,0.0006403829,0.0014299762,0.0005640803,0.001482757,0.0013454965,0.0009561632,0.020789303],"category_scores_gemma":[0.0023972597,0.00093668216,0.0011423619,0.00074139144,0.0006070831,0.0016670189,0.0018250698,0.0020697599,0.005174995],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032125748,0.00023788853,0.00092799583,0.0005714093,0.00015336754,0.00055955304,0.0007633577,0.0639665,0.20295817,0.104966216,0.05149081,0.57308346],"study_design_scores_gemma":[0.0001333379,0.000128551,0.0006606219,0.00009991387,0.000046112662,0.0010863121,0.00012086398,0.67858917,0.1191956,0.054063946,0.14569935,0.00017617265],"about_ca_topic_score_codex":0.00043792158,"about_ca_topic_score_gemma":0.0008984345,"teacher_disagreement_score":0.020789303,"about_ca_system_score_codex":0.0002844656,"about_ca_system_score_gemma":0.0003985241,"threshold_uncertainty_score":0.06954712},"labels":[],"label_agreement":null},{"id":"W2046252220","doi":"10.1145/1061347.1061354","title":"ABF++: fast and robust angle based flattening","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":327,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Geometry processing; Computer science; Flattening; Conformal map; Algorithm; Parametric statistics; Distortion (music); Speedup; Mathematical optimization; Geometry; Mathematics; Computer graphics (images); Parallel computing","score_opus":0.0168071259076753,"score_gpt":0.20714629466807513,"score_spread":0.19033916876039983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046252220","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006367411,0.00022431526,0.9769712,0.000109293855,0.00011372418,0.00007633377,0.0002436487,0.00887561,0.007018408],"genre_scores_gemma":[0.15232915,0.00046763866,0.8290747,0.00026000792,0.00008764768,0.00028981318,0.0013711018,0.0051200115,0.010999947],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990382,0.000090167814,0.00003757327,0.00011525447,0.0006342147,0.00008468632],"domain_scores_gemma":[0.9993305,0.00019895959,0.000054968175,0.0002202494,0.00015123567,0.000044111763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056632434,0.0012033846,0.00084653223,0.000805416,0.0006044109,0.0012650321,0.00267263,0.0013136169,0.013776939],"category_scores_gemma":[0.0022271825,0.0007723836,0.001113604,0.000628138,0.00067054573,0.0015749437,0.002700208,0.0018157251,0.0055916137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024531689,0.00010495471,0.0012101898,0.0003096489,0.00007436791,0.00037642548,0.0002688404,0.373016,0.051883332,0.03880985,0.031504977,0.50219613],"study_design_scores_gemma":[0.00004609277,0.00006055165,0.0002151643,0.000028212704,0.000008816344,0.00023329328,0.000034874705,0.9335574,0.01530433,0.011125524,0.039333064,0.000052667117],"about_ca_topic_score_codex":0.0034488596,"about_ca_topic_score_gemma":0.0028573233,"teacher_disagreement_score":0.013776939,"about_ca_system_score_codex":0.00047836453,"about_ca_system_score_gemma":0.0008123836,"threshold_uncertainty_score":0.046088398},"labels":[],"label_agreement":null},{"id":"W2047069428","doi":"10.1145/2421636.2421646","title":"Spectral appearance changes induced by light exposure","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Rendering (computer graphics); Computer science; Correctness; Radiative transfer; Statistical physics; Biological system; Optics; Algorithm; Physics; Artificial intelligence","score_opus":0.013660225164990707,"score_gpt":0.23867325791448135,"score_spread":0.22501303274949064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047069428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8898854,0.00022222735,0.10190141,0.00008439063,0.000053859345,0.00004843642,0.00011475506,0.0009861289,0.0067034033],"genre_scores_gemma":[0.9944337,0.00012806509,0.0043450794,0.000023252698,0.0000055563096,0.000013173041,0.000036306985,0.000063004874,0.0009519515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998492,0.000020605972,0.000004117301,0.00003042216,0.000068109366,0.00002756929],"domain_scores_gemma":[0.9997712,0.00009458098,0.000039478873,0.000040636583,0.000034581684,0.00001956946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021520555,0.00029377587,0.00019751696,0.00024025289,0.00021582487,0.00062048144,0.0004331382,0.00037643543,0.0017179936],"category_scores_gemma":[0.0009913174,0.00016102799,0.00030724588,0.00021611874,0.0005076189,0.0005023453,0.00048008552,0.0004916677,0.00026179492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042616407,0.00015230764,0.006305211,0.00016671422,0.000046694997,0.0012250838,0.00093291636,0.29357794,0.64518005,0.007871336,0.00085213274,0.04326342],"study_design_scores_gemma":[0.000048946356,0.00030629543,0.014389621,0.000025060319,0.000058508987,0.00064810034,0.00025908332,0.7772753,0.20043269,0.003743297,0.0027315388,0.00008148167],"about_ca_topic_score_codex":0.00094264955,"about_ca_topic_score_gemma":0.00038305947,"teacher_disagreement_score":0.0017179936,"about_ca_system_score_codex":0.00036306912,"about_ca_system_score_gemma":0.00017968177,"threshold_uncertainty_score":0.0057472587},"labels":[],"label_agreement":null},{"id":"W2048503982","doi":"10.1145/2766988","title":"The SGGX microflake distribution","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche; Nvidia","keywords":"Interpolation (computer graphics); Computer science; Representation (politics); Distribution (mathematics); Sampling (signal processing); Ellipsoid; Linear interpolation; Interpretation (philosophy); Algorithm; Mathematics; Artificial intelligence; Computer vision; Mathematical analysis; Pattern recognition (psychology); Image (mathematics)","score_opus":0.036406394871228126,"score_gpt":0.2911599170267217,"score_spread":0.25475352215549363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048503982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1353157,0.00055903196,0.8421501,0.00052345335,0.0001428909,0.000075005584,0.0002998919,0.000730574,0.020203445],"genre_scores_gemma":[0.86391014,0.0005605637,0.11865619,0.00026976867,0.00008318479,0.00010909551,0.00024270487,0.00030943617,0.015858857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998549,0.000028815866,0.0000039350557,0.000031938172,0.00005568597,0.000024693869],"domain_scores_gemma":[0.99975723,0.000064163854,0.000034575958,0.000046088906,0.00006694114,0.00003095715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002988076,0.00049353845,0.00026288768,0.0005960478,0.00030660827,0.00084651203,0.00060592726,0.0005356738,0.0037462479],"category_scores_gemma":[0.00077256694,0.00017578379,0.00023685917,0.00035927515,0.0009043209,0.0013341664,0.0005820969,0.00057978963,0.0007292316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020997564,0.000055851564,0.0028243968,0.00014829602,0.000017258022,0.0006138966,0.000261145,0.12607783,0.1228845,0.67376345,0.005236082,0.06790733],"study_design_scores_gemma":[0.000026782822,0.00007284486,0.0022948205,0.000021599535,0.0000066892203,0.0005833713,0.00010111645,0.87031704,0.024677686,0.090085,0.011770009,0.00004299757],"about_ca_topic_score_codex":0.0011928838,"about_ca_topic_score_gemma":0.0006957047,"teacher_disagreement_score":0.0037462479,"about_ca_system_score_codex":0.00067307247,"about_ca_system_score_gemma":0.0003218195,"threshold_uncertainty_score":0.012532413},"labels":[],"label_agreement":null},{"id":"W2050195189","doi":"10.1145/1778765.1778830","title":"SmartBoxes for interactive urban reconstruction","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Point cloud; Computer science; Semantics (computer science); Simple (philosophy); Key (lock); Point (geometry); Architectural model; Scale (ratio); Human–computer interaction; Artificial intelligence; Architecture; Programming language","score_opus":0.01966427359358122,"score_gpt":0.23297040379058453,"score_spread":0.2133061301970033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050195189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046015023,0.00008736944,0.9786445,0.00008908661,0.00003668534,0.00004442785,0.00039235846,0.013666612,0.0024374686],"genre_scores_gemma":[0.13065939,0.0003633241,0.8574275,0.00017811534,0.000036777183,0.00037084633,0.0013941231,0.0046975524,0.0048724413],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999607,0.00009136431,0.000020752877,0.000067373214,0.000180505,0.000032937012],"domain_scores_gemma":[0.9991179,0.0005202934,0.000033443725,0.00021035233,0.00006145109,0.0000564837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000623799,0.0012151414,0.00094584114,0.00072352693,0.00039838545,0.001282849,0.0016648204,0.0010267235,0.023679096],"category_scores_gemma":[0.0024234683,0.000894083,0.0010617145,0.00048366137,0.0006241091,0.0016449733,0.0035558122,0.0012007253,0.0033494157],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009878759,0.00019403153,0.0017854162,0.001019197,0.00022593992,0.0012814353,0.0013481283,0.24531591,0.1142593,0.08953639,0.062845185,0.48120123],"study_design_scores_gemma":[0.00008880369,0.00005295918,0.0003907923,0.000068245274,0.000019953191,0.00037788405,0.00012420774,0.8744578,0.026115734,0.029965492,0.06827894,0.00005913565],"about_ca_topic_score_codex":0.0011929503,"about_ca_topic_score_gemma":0.0024735513,"teacher_disagreement_score":0.023679096,"about_ca_system_score_codex":0.0003502172,"about_ca_system_score_gemma":0.00035200125,"threshold_uncertainty_score":0.07921451},"labels":[],"label_agreement":null},{"id":"W2050543800","doi":"10.1145/2766990","title":"Flow aligned surfacing of curve networks","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Curvature; Flow (mathematics); Principal curvature; Surface (topology); Sketch; Line (geometry); Computer science; Mean curvature flow; Computer graphics (images); Graphics; Field (mathematics); Geometry; Artificial intelligence; Computer vision; Topology (electrical circuits); Algorithm; Mathematics; Mean curvature","score_opus":0.02864601295580507,"score_gpt":0.2288429869076208,"score_spread":0.20019697395181574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050543800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012914691,0.000060570357,0.98413634,0.000039004583,0.000015720505,0.00005151498,0.00006332161,0.0017470184,0.00097175554],"genre_scores_gemma":[0.25183377,0.00021926018,0.7431955,0.00006270268,0.000038227023,0.00010555131,0.0004329748,0.0010113757,0.003100622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991523,0.000111099034,0.00003747485,0.0002903668,0.00034323146,0.00006538598],"domain_scores_gemma":[0.9983347,0.00053777813,0.00020467154,0.0004909455,0.00031567406,0.00011627484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009271627,0.0013112369,0.001137177,0.0023623437,0.00062583527,0.0021213333,0.0019308268,0.001459346,0.0051946263],"category_scores_gemma":[0.004906306,0.0007623142,0.0011623839,0.0012981094,0.0009976237,0.0029418138,0.0021287126,0.0015268131,0.0012034808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022823301,0.00011126043,0.002265418,0.00025022356,0.000076153636,0.00036377777,0.00088270335,0.3430023,0.08554319,0.03055531,0.002902752,0.5338187],"study_design_scores_gemma":[0.000010847576,0.00007355481,0.0004034088,0.000020026911,0.00000983009,0.00014198195,0.0000955129,0.9659439,0.0148909455,0.013781891,0.0046011107,0.000027083728],"about_ca_topic_score_codex":0.00236928,"about_ca_topic_score_gemma":0.0027750586,"teacher_disagreement_score":0.0051946263,"about_ca_system_score_codex":0.0007962939,"about_ca_system_score_gemma":0.0007152151,"threshold_uncertainty_score":0.017377794},"labels":[],"label_agreement":null},{"id":"W2053126129","doi":"10.1145/1141911.1141930","title":"Interactive decal compositing with discrete exponential maps","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Exponential function; Computer science; Texture mapping; Image stitching; Geometry processing; Polygon (computer graphics); Surface (topology); Computer graphics (images); Rendering (computer graphics); Triangulation; Computer graphics; Algorithm; Computer vision; Mathematics; Artificial intelligence; Geometry; Mathematical analysis","score_opus":0.006623448983344701,"score_gpt":0.20476498843421587,"score_spread":0.19814153945087115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053126129","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026591668,0.00010146069,0.9600695,0.00006545474,0.00007666153,0.00006533948,0.00005849681,0.0035804708,0.009390953],"genre_scores_gemma":[0.33767557,0.00025738063,0.6424173,0.0000760176,0.000044050357,0.00012738822,0.00022346311,0.0018081818,0.017370641],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963486,0.000039906925,0.000019466563,0.00005984766,0.00020681409,0.000039093204],"domain_scores_gemma":[0.99920255,0.00034168348,0.000040050683,0.00025723668,0.00010096837,0.000057552978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003156529,0.000771727,0.0005513437,0.00076243153,0.0004847176,0.0011599393,0.000973075,0.00044130674,0.010114692],"category_scores_gemma":[0.0016132179,0.00045725142,0.00043891478,0.0005621291,0.00068869634,0.001197729,0.0022233636,0.0008857576,0.0015507465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005525811,0.00017398468,0.0008783205,0.00031115845,0.00004138785,0.00075357646,0.0009075791,0.08058097,0.26046348,0.07601977,0.006460016,0.57285714],"study_design_scores_gemma":[0.00007636484,0.00018130465,0.00076969026,0.000046689973,0.00002612051,0.0011396242,0.0002767234,0.6979275,0.16960865,0.036917653,0.09294216,0.00008752985],"about_ca_topic_score_codex":0.00064283283,"about_ca_topic_score_gemma":0.00095522165,"teacher_disagreement_score":0.010114692,"about_ca_system_score_codex":0.00038113908,"about_ca_system_score_gemma":0.000226413,"threshold_uncertainty_score":0.03383702},"labels":[],"label_agreement":null},{"id":"W2053843042","doi":"10.1145/2461912.2462008","title":"Thin skin elastodynamics","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Polygon mesh; Computer science; Hyperelastic material; Computer graphics (images); Animation; Collision detection; Representation (politics); Surface (topology); Eulerian path; Texture mapping; Artificial intelligence; Computer vision; Geometry; Finite element method; Physics; Collision","score_opus":0.014306747098490275,"score_gpt":0.26012179430970706,"score_spread":0.24581504721121678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053843042","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0373665,0.0005541076,0.9353592,0.0004240668,0.00028325213,0.0001314662,0.00023011903,0.0007327255,0.024918526],"genre_scores_gemma":[0.5771147,0.0013134779,0.3928802,0.0005205541,0.00012561299,0.00031335026,0.00034024185,0.00052876933,0.026863085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997999,0.000049706014,0.000009669523,0.000032839976,0.00008126872,0.00002662881],"domain_scores_gemma":[0.9997911,0.00006655934,0.000026046404,0.00004078065,0.000036907655,0.00003848704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002170505,0.00061379,0.00044775315,0.0004767167,0.00039183963,0.0010382447,0.00080536806,0.0011322518,0.00548954],"category_scores_gemma":[0.0008723567,0.00047127073,0.0008066099,0.00026442256,0.00078307453,0.0011105854,0.001689425,0.0008381132,0.0010595269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008747395,0.000071198134,0.0010666545,0.00019394363,0.000048529855,0.0006388825,0.00026891555,0.8238103,0.06200804,0.0653988,0.0028798433,0.04352741],"study_design_scores_gemma":[0.000023441933,0.000049475453,0.00024034845,0.000029831612,0.000015448373,0.00033197197,0.000040728493,0.96610296,0.007502317,0.011937983,0.013700049,0.000025477568],"about_ca_topic_score_codex":0.0010678098,"about_ca_topic_score_gemma":0.0008523631,"teacher_disagreement_score":0.00548954,"about_ca_system_score_codex":0.0003410524,"about_ca_system_score_gemma":0.0006266482,"threshold_uncertainty_score":0.01836431},"labels":[],"label_agreement":null},{"id":"W2055465094","doi":"10.1145/636886.636891","title":"Image-based reconstruction of spatial appearance and geometric detail","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":326,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bidirectional reflectance distribution function; Rendering (computer graphics); Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Image-based modeling and rendering; Object (grammar); Real-time rendering; Global illumination; Representation (politics); Reflectivity; Optics","score_opus":0.01756161796597139,"score_gpt":0.25623663401495,"score_spread":0.23867501604897862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055465094","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050441816,0.00014652064,0.94584984,0.00009260809,0.000036889724,0.000022178998,0.00024847558,0.0012363312,0.0019253064],"genre_scores_gemma":[0.55700654,0.000550556,0.43848374,0.00007605711,0.000045152126,0.00004500523,0.0008843111,0.00048031134,0.002428332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972767,0.000025411115,0.000009481686,0.00005159985,0.00015722777,0.000028553815],"domain_scores_gemma":[0.9995629,0.00007456282,0.00004190476,0.00015430043,0.00014087923,0.000025376514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002787755,0.0006051957,0.00058246625,0.0011210168,0.00014147554,0.0010628595,0.0006018199,0.000688654,0.0016726459],"category_scores_gemma":[0.0012763147,0.00054897973,0.000743722,0.00098951,0.00042326917,0.0010567514,0.0007429786,0.0009409215,0.0007473187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002896997,0.00012365048,0.0033594698,0.0002883362,0.0001024303,0.00029992056,0.00023443757,0.38334155,0.3217833,0.01164633,0.0035853353,0.2749456],"study_design_scores_gemma":[0.000015334812,0.00003473271,0.002296659,0.000010876146,0.000018815574,0.00026774002,0.00004236097,0.95318204,0.03842084,0.0032689862,0.0024104165,0.00003129477],"about_ca_topic_score_codex":0.0020124814,"about_ca_topic_score_gemma":0.0021785693,"teacher_disagreement_score":0.0020124814,"about_ca_system_score_codex":0.00044325204,"about_ca_system_score_gemma":0.00048991106,"threshold_uncertainty_score":0.005595565},"labels":[],"label_agreement":null},{"id":"W2055993143","doi":"10.1145/1778765.1778795","title":"Illustrating how mechanical assemblies work","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Division of Computing and Communication Foundations","keywords":"Variety (cybernetics); Computer science; Animation; Frame (networking); Motion (physics); Computer animation; Human–computer interaction; Visualization; Computer graphics (images); Engineering drawing; Artificial intelligence; Engineering","score_opus":0.022174339118533903,"score_gpt":0.2299618041362416,"score_spread":0.2077874650177077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055993143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08288609,0.0024990449,0.7521581,0.004372012,0.00087603997,0.00011238427,0.00068926153,0.0069097374,0.14949736],"genre_scores_gemma":[0.5698262,0.0021057564,0.39231282,0.00052501075,0.00016151178,0.00029976392,0.0006057976,0.0018006267,0.032362524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993486,0.00031548517,0.00002632838,0.0000862941,0.00015015737,0.000073202704],"domain_scores_gemma":[0.9987098,0.0007558049,0.00006930333,0.00022310538,0.00013403242,0.00010791563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076138385,0.0010971094,0.00039370634,0.0010981143,0.0017210739,0.0032119073,0.0009457983,0.0015536952,0.027378712],"category_scores_gemma":[0.0036739854,0.00066152716,0.0008007022,0.0009611795,0.0019300028,0.0041790875,0.002638535,0.0012688182,0.003776536],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031888645,0.00010622302,0.003155045,0.00065796776,0.0000712455,0.0015068044,0.014754941,0.061340094,0.028001519,0.7311187,0.028106168,0.13086233],"study_design_scores_gemma":[0.00012421912,0.00020494504,0.0049855825,0.0005037541,0.0000758428,0.0009823863,0.0042827143,0.15989399,0.012532749,0.37946108,0.43680567,0.00014713865],"about_ca_topic_score_codex":0.0023445305,"about_ca_topic_score_gemma":0.0018664047,"teacher_disagreement_score":0.027378712,"about_ca_system_score_codex":0.0005689985,"about_ca_system_score_gemma":0.0004894725,"threshold_uncertainty_score":0.09159088},"labels":[],"label_agreement":null},{"id":"W2058387381","doi":"10.1145/2461912.2461977","title":"Generating and exploring good building layouts","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Seventh Framework Programme; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; ENCODE; Graph; Space (punctuation); Variety (cybernetics); Set (abstract data type); Theoretical computer science; Interface (matter); Artificial intelligence; Programming language","score_opus":0.030214903074120527,"score_gpt":0.20399659908154946,"score_spread":0.17378169600742893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058387381","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0777708,0.00016789642,0.9094692,0.00022759516,0.000030731557,0.00023861935,0.00063680066,0.0036513985,0.0078069675],"genre_scores_gemma":[0.29720613,0.00019614668,0.6974425,0.00006441853,0.000009621166,0.00032425637,0.0010825511,0.0009403837,0.0027338932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990779,0.00034220322,0.00003575159,0.00017081051,0.00028727305,0.00008607086],"domain_scores_gemma":[0.9977564,0.001380141,0.0001025592,0.0003869101,0.0002665033,0.00010749927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013375501,0.0013165232,0.0009189169,0.0014684987,0.0006922177,0.002135408,0.0013691221,0.0012073186,0.007711945],"category_scores_gemma":[0.005904594,0.0008685088,0.0011277103,0.0011006865,0.0010349187,0.0020269984,0.0029889643,0.00096409646,0.0014525054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050051115,0.00028958247,0.007021024,0.001058238,0.00010371998,0.0015013337,0.004347907,0.5968438,0.044441197,0.0940972,0.014099387,0.2356961],"study_design_scores_gemma":[0.000098527256,0.00019971463,0.0011105373,0.000096024196,0.000043732794,0.00050412235,0.0012403958,0.9026535,0.014495614,0.05802109,0.0214628,0.00007399054],"about_ca_topic_score_codex":0.0013837492,"about_ca_topic_score_gemma":0.0034593707,"teacher_disagreement_score":0.007711945,"about_ca_system_score_codex":0.0005736385,"about_ca_system_score_gemma":0.00067934353,"threshold_uncertainty_score":0.025799036},"labels":[],"label_agreement":null},{"id":"W2059133999","doi":"10.1145/2766911","title":"Deformation capture and modeling of soft objects","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Deformation (meteorology); Tracking (education); Displacement (psychology); Optimization problem; Algorithm; Synthetic data; Nonlinear system; Probabilistic logic; Artificial intelligence; Physics","score_opus":0.03082458498707091,"score_gpt":0.22810466655340278,"score_spread":0.19728008156633187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059133999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001766334,0.000052518637,0.99733436,0.000026849746,0.00001355886,0.000021470232,0.000043719185,0.00024049131,0.00050067133],"genre_scores_gemma":[0.18932246,0.00047165705,0.80476266,0.00013834311,0.0000494763,0.00031237825,0.00061128853,0.00050785876,0.0038238473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994191,0.000069177695,0.000037222813,0.000114923736,0.00033049198,0.000029177483],"domain_scores_gemma":[0.99945325,0.00014619296,0.00007329259,0.00018998708,0.000097421085,0.000039875104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060953177,0.0008014961,0.0006749292,0.0009850172,0.00039622132,0.0011522966,0.0017787082,0.001266263,0.0025167107],"category_scores_gemma":[0.001637178,0.0008232653,0.0012285543,0.00070414925,0.00085593446,0.0012310018,0.0022857906,0.0012828247,0.0010828845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060680613,0.00004650902,0.00084178144,0.00021387296,0.00006127756,0.0002408299,0.00020468188,0.7468017,0.08609971,0.031716783,0.0019533164,0.13175884],"study_design_scores_gemma":[0.000005182767,0.000020468686,0.00020288963,0.000010405522,0.0000060883403,0.00012222637,0.0000097459115,0.97904474,0.009283293,0.0061408547,0.005132619,0.000021539267],"about_ca_topic_score_codex":0.0014351002,"about_ca_topic_score_gemma":0.0017517597,"teacher_disagreement_score":0.0025167107,"about_ca_system_score_codex":0.0006201043,"about_ca_system_score_gemma":0.000994965,"threshold_uncertainty_score":0.008419275},"labels":[],"label_agreement":null},{"id":"W2059486229","doi":"10.1145/1618452.1618516","title":"Robust task-based control policies for physics-based characters","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Task (project management); Character (mathematics); Computer science; Reinforcement learning; Control (management); State (computer science); Product (mathematics); Vocabulary; Artificial intelligence; Action (physics); Mathematics; Engineering; Algorithm","score_opus":0.029223904373550713,"score_gpt":0.23460171391990342,"score_spread":0.2053778095463527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059486229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02155663,0.000035555127,0.976832,0.000034829045,0.000011443559,0.00004317263,0.000021907928,0.0006360626,0.00082851225],"genre_scores_gemma":[0.7857229,0.000048896658,0.21225019,0.00004944251,0.00001511893,0.00019505109,0.0001285592,0.00024041969,0.0013494022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999385,0.00013180084,0.00003831243,0.0001652699,0.00019306829,0.00008647643],"domain_scores_gemma":[0.9984396,0.0007547963,0.00024990345,0.00026135787,0.00020105924,0.00009325296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058148,0.00079015654,0.00073291117,0.0004435473,0.00041108046,0.00080224103,0.00096396613,0.00069262617,0.0016804865],"category_scores_gemma":[0.004760099,0.0006293467,0.0006572185,0.00020211113,0.0008891158,0.0009875534,0.0013104273,0.001200946,0.00031460228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058209633,0.00003104928,0.00019460214,0.000022210816,0.000012932889,0.000033607546,0.000055432203,0.9759285,0.004143111,0.00396998,0.00016013414,0.015390217],"study_design_scores_gemma":[0.0000067542587,0.000023112354,0.0000461209,0.0000022032425,0.0000020073287,0.0000049386044,0.0000037682773,0.9967134,0.0010705254,0.0019402076,0.00018321665,0.000003824667],"about_ca_topic_score_codex":0.0045922045,"about_ca_topic_score_gemma":0.0034578259,"teacher_disagreement_score":0.0045922045,"about_ca_system_score_codex":0.0009559851,"about_ca_system_score_gemma":0.0012745789,"threshold_uncertainty_score":0.009130955},"labels":[],"label_agreement":null},{"id":"W2060496807","doi":"10.1145/1330511.1330515","title":"SOHO","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Basis (linear algebra); Orthogonal basis; Wavelet; Subdivision; Basis function; Haar; Partition (number theory); Haar wavelet; Representation (politics); Computer science; Partition of unity; Mathematics; Wavelet transform; Algorithm; Discrete wavelet transform; Mathematical analysis; Geometry; Artificial intelligence; Combinatorics; Physics","score_opus":0.019128139597199043,"score_gpt":0.23510474710918236,"score_spread":0.21597660751198333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060496807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027008794,0.000946705,0.8228024,0.0017885112,0.0016295983,0.00018349286,0.00087876717,0.003195212,0.14156656],"genre_scores_gemma":[0.34604114,0.003080487,0.50052416,0.0024292006,0.0010562815,0.0004234438,0.005582163,0.0021060084,0.13875715],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991659,0.00009385434,0.000036882397,0.00011396236,0.00045619736,0.00013317731],"domain_scores_gemma":[0.9991678,0.00006516071,0.000056877452,0.00022451062,0.0003756351,0.00010989733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006253568,0.00049945194,0.00042391848,0.0012272268,0.0008125037,0.0020195625,0.0011100555,0.00091208256,0.015097481],"category_scores_gemma":[0.0014368062,0.00026582548,0.00053777976,0.0010404588,0.00065882487,0.001761775,0.0026261702,0.0009309647,0.009884581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033847918,0.0001009177,0.0020383436,0.00027847983,0.000036979003,0.00025588376,0.0004563377,0.011685615,0.03497196,0.34910545,0.054062832,0.5466687],"study_design_scores_gemma":[0.000050835526,0.0002534609,0.0028256145,0.00015493458,0.000032610467,0.0009653547,0.00048368442,0.11178944,0.027169723,0.109404616,0.74676454,0.00010521459],"about_ca_topic_score_codex":0.0010497676,"about_ca_topic_score_gemma":0.0012796768,"teacher_disagreement_score":0.015097481,"about_ca_system_score_codex":0.00040185955,"about_ca_system_score_gemma":0.00086292304,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2061941037","doi":"10.1145/2816795.2818088","title":"Deformation-driven topology-varying 3D shape correspondence","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Topology (electrical circuits); Deformation (meteorology); Piecewise; Distortion (music); Shape analysis (program analysis); Mathematics; Geometry; Geometric shape; Topological skeleton; Computer science; Active shape model; Artificial intelligence; Mathematical analysis; Physics; Segmentation; Combinatorics","score_opus":0.035643441409629384,"score_gpt":0.25292078640079196,"score_spread":0.21727734499116258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061941037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02852114,0.00012082864,0.96693265,0.0001117575,0.000036947215,0.000067851615,0.00009051753,0.0011940707,0.0029241638],"genre_scores_gemma":[0.5539686,0.00014722452,0.44083565,0.00017217806,0.000027563967,0.0001779522,0.00035215824,0.0006632149,0.0036555196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990208,0.00016342606,0.000036618898,0.00021156427,0.00049834786,0.00006922416],"domain_scores_gemma":[0.99909556,0.0002445755,0.00009817802,0.00040035587,0.000107293854,0.000054083233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000738425,0.0008904745,0.0010825889,0.0011470272,0.0007753293,0.0012878242,0.0026511715,0.0018319878,0.003283005],"category_scores_gemma":[0.0025672512,0.00079402036,0.0012775139,0.0012945993,0.001498665,0.001828559,0.0029393744,0.0016162735,0.0010466235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011420985,0.00010244903,0.00074280746,0.00010600618,0.000064361455,0.00023502938,0.00024387804,0.8287459,0.038076542,0.033329498,0.0020840955,0.096155204],"study_design_scores_gemma":[0.000010384062,0.000039279217,0.00012561679,0.0000057773523,0.000006702811,0.0001298318,0.000028833587,0.9796529,0.00747542,0.0106391935,0.0018666711,0.000019336829],"about_ca_topic_score_codex":0.001100438,"about_ca_topic_score_gemma":0.0019127021,"teacher_disagreement_score":0.003283005,"about_ca_system_score_codex":0.0008694038,"about_ca_system_score_gemma":0.0009370431,"threshold_uncertainty_score":0.010982692},"labels":[],"label_agreement":null},{"id":"W2062090038","doi":"10.1145/2461912.2461945","title":"Low-budget transient imaging using photonic mixer devices","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":193,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transient (computer programming); Computer science; Instrumentation (computer programming); Process (computing); Computer vision; Artificial intelligence; Photonics; Optics; Physics","score_opus":0.013569351593303613,"score_gpt":0.25509575501792214,"score_spread":0.24152640342461854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062090038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07884012,0.00019681618,0.91660815,0.00012110285,0.000017150322,0.000044985958,0.00008877048,0.00050806854,0.0035749148],"genre_scores_gemma":[0.5461673,0.000326302,0.45034152,0.000070400245,0.000022879885,0.00009677109,0.0001785789,0.00010867685,0.0026876975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998659,0.000028560104,0.00000600387,0.00003239977,0.0000524805,0.000014715032],"domain_scores_gemma":[0.9996978,0.00016381245,0.00005266499,0.000045782937,0.00002496364,0.000015006301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003894585,0.0004423011,0.00037594215,0.000257016,0.0001925164,0.00079475046,0.0005447133,0.00047424927,0.0013048577],"category_scores_gemma":[0.0007981635,0.00037678334,0.00037448364,0.00028416282,0.00043221415,0.0008880494,0.0006002843,0.00063861994,0.0003350913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041476704,0.00014077233,0.0031829525,0.0002665446,0.00006554355,0.00026556686,0.00015406651,0.16520786,0.67929876,0.034592178,0.0010052935,0.115405746],"study_design_scores_gemma":[0.000024390845,0.00007962739,0.0008420051,0.00001537729,0.000017965036,0.00011782663,0.000022686772,0.8516264,0.14236048,0.0032586916,0.0016042748,0.000030295467],"about_ca_topic_score_codex":0.0007888396,"about_ca_topic_score_gemma":0.0014822481,"teacher_disagreement_score":0.0013048577,"about_ca_system_score_codex":0.00064636033,"about_ca_system_score_gemma":0.000425155,"threshold_uncertainty_score":0.004689753},"labels":[],"label_agreement":null},{"id":"W2063149203","doi":"10.1145/1409060.1409066","title":"Synthesis of constrained walking skills","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Task (project management); Domain (mathematical analysis); Planner; Motion (physics); Terrain; Control (management); Artificial intelligence; Algorithm; Mathematics","score_opus":0.014832918246118237,"score_gpt":0.21508444449318398,"score_spread":0.20025152624706574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063149203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12622407,0.00013370911,0.8547671,0.000094937655,0.00005637705,0.0001503484,0.0001948282,0.0007500778,0.01762848],"genre_scores_gemma":[0.8053763,0.0001240082,0.18958163,0.000030031057,0.000008850646,0.00025066166,0.00028810743,0.00012309222,0.004217351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987435,0.000018408195,0.0000076054475,0.000032548207,0.00005265912,0.000014419892],"domain_scores_gemma":[0.9997489,0.00011831753,0.00002506523,0.000036855166,0.000044779717,0.000026075526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016564393,0.00037800331,0.00039077163,0.0003090936,0.00019935868,0.00046827114,0.000435897,0.00045203956,0.00401492],"category_scores_gemma":[0.0010740325,0.00031738894,0.00030830986,0.00018278755,0.00033650163,0.00038171562,0.00062821404,0.00029779942,0.0003621277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089918896,0.000061556304,0.000489205,0.00021289944,0.000026403983,0.00016472599,0.00012895676,0.8978079,0.02968296,0.017532434,0.00073523924,0.05306783],"study_design_scores_gemma":[0.0000205929,0.00004916977,0.00017356918,0.000010395714,0.0000056918248,0.000026528238,0.000018874503,0.98901284,0.0042327917,0.004575739,0.0018682738,0.0000055272485],"about_ca_topic_score_codex":0.0013072864,"about_ca_topic_score_gemma":0.0015745455,"teacher_disagreement_score":0.00401492,"about_ca_system_score_codex":0.00031498642,"about_ca_system_score_gemma":0.00045413597,"threshold_uncertainty_score":0.013431191},"labels":[],"label_agreement":null},{"id":"W2063844760","doi":"10.1145/2766987","title":"Biomechanical simulation and control of hands and tendinous systems","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pulley; Discretization; Quasistatic process; Computer science; Degrees of freedom (physics and chemistry); Transverse plane; Simulation; Control theory (sociology); Control (management); Artificial intelligence; Mechanical engineering; Engineering; Physics; Mathematics; Structural engineering; Mathematical analysis","score_opus":0.04385983140207938,"score_gpt":0.2623706551552521,"score_spread":0.2185108237531727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063844760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25744843,0.00036836023,0.719824,0.0007806352,0.00010631451,0.00014593355,0.00035094062,0.0010193912,0.019955998],"genre_scores_gemma":[0.9469659,0.00025035502,0.047660694,0.000053620384,0.000021835718,0.00017168868,0.00014424004,0.000041878764,0.0046898685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998338,0.000054884105,0.000012105484,0.000025863059,0.000054499018,0.00001880876],"domain_scores_gemma":[0.999579,0.00024670828,0.00004514788,0.000052215863,0.00004372529,0.00003317131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002720433,0.00044458546,0.000350126,0.00028104574,0.00031079564,0.00054403825,0.0006856233,0.0009213125,0.0030263686],"category_scores_gemma":[0.0010764479,0.00027162762,0.00031811994,0.00025645006,0.0007408123,0.00043381815,0.00065609545,0.00049223914,0.00022269222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027028076,0.000018269424,0.00021033565,0.000028647755,0.00000662663,0.000040966028,0.0000327571,0.9871557,0.0034487427,0.0047024116,0.00013157925,0.0041970992],"study_design_scores_gemma":[0.000009709561,0.000012773449,0.00010488676,0.0000025596232,0.0000016003285,0.000007887391,0.000005503063,0.99755305,0.0005556005,0.0012914632,0.00045223557,0.0000027376318],"about_ca_topic_score_codex":0.0057525723,"about_ca_topic_score_gemma":0.0037988727,"teacher_disagreement_score":0.0057525723,"about_ca_system_score_codex":0.0004031976,"about_ca_system_score_gemma":0.0005017216,"threshold_uncertainty_score":0.011438131},"labels":[],"label_agreement":null},{"id":"W2063964519","doi":"10.1145/2801134","title":"Modeling Character Canvases from Cartoon Drawings","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Rendering (computer graphics); Computer science; Character (mathematics); Gestalt psychology; Segmentation; Artificial intelligence; Simplicity; Computer graphics (images); Computer vision; Perception; Mathematics; Geometry","score_opus":0.042098611663296835,"score_gpt":0.22942763638019406,"score_spread":0.18732902471689722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063964519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028561544,0.00017426176,0.9607117,0.00008002662,0.000044155633,0.00013544715,0.00029773705,0.004780737,0.0052143075],"genre_scores_gemma":[0.29992387,0.00052082154,0.689996,0.00007190954,0.000026556238,0.00022817089,0.0009992018,0.0018423718,0.0063909595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996494,0.000068035195,0.000015565027,0.00008406129,0.00014131705,0.00004149245],"domain_scores_gemma":[0.9994721,0.00020497684,0.000046324654,0.0001417679,0.000085615335,0.00004912355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037935635,0.00125093,0.0005930883,0.000827199,0.00033643394,0.002187323,0.0012428942,0.00092651416,0.0081448965],"category_scores_gemma":[0.0020073978,0.0010321612,0.0013186982,0.00051034766,0.00075660547,0.0010321749,0.002072482,0.0011064226,0.0016482869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039478796,0.000099805744,0.0028906518,0.001043973,0.00012940037,0.0020830336,0.0019478854,0.49469578,0.124069676,0.06405385,0.012920098,0.29567105],"study_design_scores_gemma":[0.000031404787,0.00009091385,0.00097305584,0.000089951216,0.000034523433,0.00090959255,0.0001778032,0.9187542,0.02827079,0.010330864,0.040271964,0.00006492402],"about_ca_topic_score_codex":0.0021022554,"about_ca_topic_score_gemma":0.0038458288,"teacher_disagreement_score":0.0081448965,"about_ca_system_score_codex":0.00051168766,"about_ca_system_score_gemma":0.00048622134,"threshold_uncertainty_score":0.02724737},"labels":[],"label_agreement":null},{"id":"W2064488391","doi":"10.1145/1360612.1360682","title":"Musculotendon simulation for hand animation","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Computer science; Pipeline (software); Interactive skeleton-driven simulation; Computer facial animation; Computer graphics (images); Character animation; Computer animation; Skeletal animation; Character (mathematics)","score_opus":0.04199620589354461,"score_gpt":0.2595518972079092,"score_spread":0.2175556913143646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064488391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027764622,0.00028589842,0.9540739,0.0002087644,0.00010046685,0.00010633011,0.00039180822,0.0039835256,0.013084716],"genre_scores_gemma":[0.44969618,0.00071100425,0.5360556,0.0001369862,0.000046166824,0.0005415978,0.0007607979,0.0008734649,0.01117813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998534,0.0000325943,0.000008189157,0.000018830524,0.00007674837,0.000010252898],"domain_scores_gemma":[0.9998258,0.000085797765,0.0000119028855,0.000027396762,0.0000321568,0.000016933278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019655,0.0005809773,0.00041960893,0.00033573096,0.00032163181,0.00039467268,0.00083883625,0.00068808754,0.009655829],"category_scores_gemma":[0.0009814916,0.00031273504,0.00044414046,0.0002730872,0.00026275587,0.00032650738,0.0007448881,0.0006865066,0.0010815684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013021973,0.000053053493,0.00073727244,0.00021599603,0.00005089392,0.0002911702,0.00012236512,0.8715137,0.048592187,0.01675267,0.003477154,0.058063373],"study_design_scores_gemma":[0.000027712173,0.00002255071,0.00015106278,0.000010795718,0.0000064793853,0.000078341116,0.0000062002214,0.98697007,0.004041468,0.0024194743,0.0062589454,0.0000069419984],"about_ca_topic_score_codex":0.0027977377,"about_ca_topic_score_gemma":0.0036441635,"teacher_disagreement_score":0.009655829,"about_ca_system_score_codex":0.00040541668,"about_ca_system_score_gemma":0.0005644277,"threshold_uncertainty_score":0.032301962},"labels":[],"label_agreement":null},{"id":"W2064723547","doi":"10.1145/2766929","title":"Elements of style","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Similarity (geometry); Salient; Computer science; Context (archaeology); Consistency (knowledge bases); Artificial intelligence; Matching (statistics); Similarity measure; Measure (data warehouse); Style (visual arts); Perception; Range (aeronautics); Pattern recognition (psychology); Mathematics; Data mining; Statistics; Psychology; Image (mathematics)","score_opus":0.08664182901158185,"score_gpt":0.3153371207410397,"score_spread":0.22869529172945785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064723547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39265892,0.007590589,0.3178062,0.0011811589,0.0016095641,0.0014134505,0.042158965,0.0064957305,0.22908546],"genre_scores_gemma":[0.8706442,0.0016014464,0.085681416,0.0005645097,0.00030549325,0.00047346728,0.016404826,0.0005903268,0.023734435],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987649,0.00014982256,0.00012187808,0.000344074,0.00054086454,0.00007837607],"domain_scores_gemma":[0.9982004,0.0004244338,0.00028808173,0.0005088857,0.00041678513,0.00016130265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051400816,0.00093169947,0.00045074782,0.00309071,0.00066532206,0.0030579448,0.00061557395,0.00094458944,0.0170895],"category_scores_gemma":[0.005736988,0.00028999327,0.0011671253,0.0023903013,0.0007915794,0.00235056,0.0018160329,0.0008734909,0.0063323984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010043668,0.00029029007,0.12322223,0.0016533377,0.00039109614,0.0005744236,0.0030299674,0.0075725284,0.036121853,0.043744273,0.05336706,0.7290286],"study_design_scores_gemma":[0.00014219098,0.00091957825,0.29531515,0.0007427821,0.0003912041,0.005817459,0.002959147,0.076121934,0.0145793855,0.089824796,0.5127774,0.00040908868],"about_ca_topic_score_codex":0.0020411597,"about_ca_topic_score_gemma":0.0042493762,"teacher_disagreement_score":0.0170895,"about_ca_system_score_codex":0.00065619673,"about_ca_system_score_gemma":0.00041028202,"threshold_uncertainty_score":0.057170033},"labels":[],"label_agreement":null},{"id":"W2065110175","doi":"10.1145/2766933","title":"Learning shape placements by example","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Bounding overwatch; Minimum bounding box; Feature (linguistics); Set (abstract data type); Artificial intelligence; Computer vision; Probabilistic logic; Session (web analytics); Simple (philosophy); Computer graphics (images); Image (mathematics)","score_opus":0.03702641333173776,"score_gpt":0.24016343383806293,"score_spread":0.20313702050632518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065110175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017911961,0.00007151062,0.97672826,0.00013299879,0.000023276558,0.000064373526,0.00020514817,0.0034762404,0.0013862902],"genre_scores_gemma":[0.30538496,0.00018880554,0.6876663,0.00021413149,0.000046037494,0.00021111345,0.001523795,0.0007081785,0.004056772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994442,0.00007144128,0.000019756604,0.00021751394,0.0001947946,0.00005223352],"domain_scores_gemma":[0.99870026,0.0005480243,0.0001124578,0.00035124784,0.00020849603,0.00007949706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000605002,0.0014066315,0.0008203482,0.0010651362,0.00056417496,0.0009987468,0.0030230614,0.0017605794,0.005534522],"category_scores_gemma":[0.003813715,0.001214218,0.0014178448,0.00090838666,0.0010038496,0.0025081234,0.0018709281,0.0015649594,0.0016396333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015849934,0.00012964697,0.00267998,0.000116177456,0.000057979552,0.00026975884,0.00020457384,0.67913294,0.010567132,0.013132674,0.0075411326,0.28600955],"study_design_scores_gemma":[0.00001038446,0.000023125533,0.00008562974,0.0000072760845,0.0000062109707,0.0000440983,0.000011924547,0.99073887,0.0024968684,0.005377945,0.0011913766,0.0000063501398],"about_ca_topic_score_codex":0.0049961484,"about_ca_topic_score_gemma":0.009167573,"teacher_disagreement_score":0.005534522,"about_ca_system_score_codex":0.0009193811,"about_ca_system_score_gemma":0.0008392692,"threshold_uncertainty_score":0.018514872},"labels":[],"label_agreement":null},{"id":"W2067197858","doi":"10.1145/2508363.2508388","title":"PolyCut","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Mitacs","keywords":"Base (topology); Computation; Computer science; Graph; Polyhedron; Packing problems; Unary operation; Algorithm; Mathematical optimization; Mathematics; Theoretical computer science; Discrete mathematics; Combinatorics","score_opus":0.009130069048395553,"score_gpt":0.2226307038066004,"score_spread":0.21350063475820485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067197858","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056834216,0.0009205778,0.93434757,0.00042428818,0.00046765018,0.00034052628,0.0019126612,0.0071959975,0.048707392],"genre_scores_gemma":[0.10238838,0.0014883874,0.8217357,0.0009923273,0.00019520546,0.0010432734,0.010646626,0.006414552,0.05509553],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903935,0.000107062544,0.0000525471,0.00024406011,0.00045693762,0.00009997273],"domain_scores_gemma":[0.99939334,0.00015636485,0.000048668084,0.00018366634,0.00016427923,0.00005356799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057990296,0.0016467237,0.000958995,0.001194751,0.001018977,0.002559591,0.0028389585,0.0016788043,0.05992997],"category_scores_gemma":[0.0023568065,0.0007761817,0.0013990339,0.0012250696,0.0007864007,0.0019934534,0.003057116,0.0022055495,0.013137155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029827823,0.00015213349,0.000992458,0.0009768426,0.000109584755,0.00033753258,0.00018352638,0.13277064,0.00936762,0.21128224,0.124701224,0.518828],"study_design_scores_gemma":[0.00011479626,0.00016973571,0.00044826366,0.00021280657,0.00004552427,0.00062540825,0.00014392156,0.46090078,0.011889506,0.1892532,0.33613384,0.0000621661],"about_ca_topic_score_codex":0.0021200466,"about_ca_topic_score_gemma":0.005070666,"teacher_disagreement_score":0.05992997,"about_ca_system_score_codex":0.0010340041,"about_ca_system_score_gemma":0.0012802728,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2069531690","doi":"10.1145/1409060.1409075","title":"Reusable skinning templates using cage-based deformations","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Information and Intelligent Systems; Division of Computing and Communication Foundations","keywords":"Skinning; Computer science; Abstraction; Template; Computer graphics (images); Character (mathematics); Geometry; Engineering; Mathematics; Programming language","score_opus":0.04554359013150042,"score_gpt":0.23647733467674378,"score_spread":0.19093374454524337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069531690","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028506327,0.000053675853,0.9590803,0.000045063807,0.000033534056,0.0001059195,0.00009506323,0.007232426,0.0048477254],"genre_scores_gemma":[0.4816923,0.00015886675,0.5041528,0.00010457181,0.000018413873,0.00034146933,0.00052155723,0.004298156,0.008711863],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992225,0.00014161834,0.00007041948,0.0001998718,0.0002859209,0.00007974994],"domain_scores_gemma":[0.9986539,0.00031873764,0.00011728633,0.0006608278,0.0001505969,0.00009863876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006913985,0.0009787327,0.00059410016,0.0005071362,0.0003862219,0.00087379926,0.0013800005,0.0008617899,0.0050884746],"category_scores_gemma":[0.002602934,0.00059396564,0.00090846163,0.00031787527,0.00097388093,0.0018206127,0.0019368671,0.0007093418,0.0014154508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003024693,0.00020748164,0.0055602198,0.00041410956,0.00010484018,0.0014442828,0.001575875,0.23221268,0.39043367,0.083462626,0.008936253,0.27534539],"study_design_scores_gemma":[0.000038948754,0.0003163534,0.001982678,0.00006486722,0.00006443943,0.0013923399,0.0003119812,0.64728254,0.2538123,0.030318763,0.064250275,0.00016450683],"about_ca_topic_score_codex":0.00057352916,"about_ca_topic_score_gemma":0.0009839311,"teacher_disagreement_score":0.0050884746,"about_ca_system_score_codex":0.00039457582,"about_ca_system_score_gemma":0.00042971468,"threshold_uncertainty_score":0.01702267},"labels":[],"label_agreement":null},{"id":"W2070639429","doi":"10.1145/2366145.2366205","title":"The magic lens","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Lens (geology); Computer science; MAGIC (telescope); Animation; Computer vision; Computer graphics (images); Decoding methods; Artificial intelligence; Optics; ENCODE; Grid; Gradient-index optics; Physics; Algorithm; Mathematics; Refractive index; Geometry","score_opus":0.02762942484397209,"score_gpt":0.2633473573686147,"score_spread":0.2357179325246426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070639429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016935296,0.0017622792,0.93757445,0.00039604458,0.00044318126,0.00015198375,0.00018795322,0.0020262655,0.040522527],"genre_scores_gemma":[0.1776244,0.0010654134,0.8048873,0.00021633213,0.00010695051,0.0001525544,0.00016939298,0.0001869617,0.015590729],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945086,0.000047347865,0.000032435713,0.00013479151,0.00029140216,0.000043123553],"domain_scores_gemma":[0.9995677,0.00006503652,0.00006445451,0.00015752572,0.000101278434,0.000044029508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027562628,0.0008302523,0.0004832646,0.00081090647,0.0005960694,0.0014611203,0.0014459216,0.00088178087,0.008208241],"category_scores_gemma":[0.0008598538,0.0005474208,0.00053259265,0.00054822,0.00094229804,0.001931735,0.0012127756,0.0008988626,0.0026425135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023375961,0.0000827987,0.0010757173,0.0006994338,0.00006773719,0.0004948856,0.00030784876,0.018944202,0.26941168,0.3454745,0.009810627,0.35339683],"study_design_scores_gemma":[0.00016306707,0.0009578688,0.00078100065,0.00017408631,0.00012484175,0.0037427803,0.00010989077,0.22832388,0.33312902,0.06947682,0.36280772,0.00020895229],"about_ca_topic_score_codex":0.0004346282,"about_ca_topic_score_gemma":0.00056082115,"teacher_disagreement_score":0.008208241,"about_ca_system_score_codex":0.00047941785,"about_ca_system_score_gemma":0.0006592369,"threshold_uncertainty_score":0.027459323},"labels":[],"label_agreement":null},{"id":"W2071661704","doi":"10.1145/2461912.2461960","title":"Implicit skinning","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Agence Nationale de la Recherche; Royal Society; Intel Corporation","keywords":"Skinning; Computer science; Animation; Computer graphics (images); Pipeline (software); Set (abstract data type); Position (finance); Triangle mesh; Motion capture; Computation; Volume (thermodynamics); Algorithm; Computer vision; Polygon mesh; Motion (physics); Engineering","score_opus":0.012241520122699393,"score_gpt":0.2141762399644934,"score_spread":0.201934719841794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071661704","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032141784,0.00013508806,0.99000096,0.00003229874,0.00009041523,0.000044707216,0.0000514595,0.0014939152,0.0049369424],"genre_scores_gemma":[0.21992384,0.0005794037,0.75143534,0.00019312103,0.00009065491,0.0001674265,0.00059091765,0.0024083403,0.024610901],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993424,0.00008303148,0.00003096396,0.00014483076,0.00033153765,0.00006722742],"domain_scores_gemma":[0.9994492,0.00014836193,0.00003851033,0.00021665978,0.0001138872,0.000033387372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048135116,0.0010415417,0.0007871393,0.0007297578,0.00040007982,0.0012722639,0.0016692675,0.001054372,0.014688126],"category_scores_gemma":[0.0021135563,0.00056504837,0.0008749882,0.00058607204,0.00078154216,0.0014431181,0.002257569,0.0013555831,0.0040878793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022326449,0.000076927885,0.0006434662,0.00044188817,0.000083094514,0.00028018202,0.0003906463,0.25410154,0.06599973,0.070397474,0.011712265,0.59564954],"study_design_scores_gemma":[0.000032866916,0.00007277872,0.0002295532,0.000042730622,0.000024819044,0.00038277317,0.00007253019,0.8828419,0.035657387,0.024974836,0.05563171,0.000036183304],"about_ca_topic_score_codex":0.0009766564,"about_ca_topic_score_gemma":0.0013173185,"teacher_disagreement_score":0.014688126,"about_ca_system_score_codex":0.00030472165,"about_ca_system_score_gemma":0.0005293251,"threshold_uncertainty_score":0.0491367},"labels":[],"label_agreement":null},{"id":"W2073290147","doi":"10.1145/2601097.2601147","title":"From capture to simulation","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Deblurring; Fluid dynamics; Flow (mathematics); Tracking (education); Fluid queue; Operator (biology); Modular design; Algorithm; Computer vision; Artificial intelligence; Computational science; Image (mathematics); Image processing; Mathematics; Image restoration; Geometry; Physics","score_opus":0.022706199865614677,"score_gpt":0.2973210179069352,"score_spread":0.27461481804132054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073290147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007327607,0.0021034149,0.9517483,0.0031047477,0.00047155627,0.000118313976,0.00035511306,0.0011797545,0.033591144],"genre_scores_gemma":[0.45876223,0.010312417,0.4728912,0.00292751,0.0009503246,0.00071595085,0.0015081522,0.0025671052,0.049365204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990157,0.00027247344,0.000038572376,0.00021771136,0.00034687147,0.000108658984],"domain_scores_gemma":[0.9985661,0.0005684534,0.000079769474,0.00047220744,0.0001813388,0.0001322615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054471,0.0008344138,0.0008987906,0.00082945084,0.0009046135,0.0040773517,0.0018413801,0.0019611164,0.014399197],"category_scores_gemma":[0.0047744745,0.0008290684,0.00117165,0.0006826405,0.0030568226,0.004739688,0.008129825,0.003065879,0.0030609842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012956998,0.00005620151,0.0010150874,0.00041385472,0.00007941768,0.0002827967,0.0007614499,0.17206004,0.0070009213,0.7350164,0.014584362,0.06859982],"study_design_scores_gemma":[0.00004080967,0.0000734072,0.00043759204,0.00019550609,0.00003436283,0.0002642164,0.00026145767,0.41359028,0.0049303127,0.4935006,0.08659982,0.000071593844],"about_ca_topic_score_codex":0.004075627,"about_ca_topic_score_gemma":0.0026564796,"teacher_disagreement_score":0.014399197,"about_ca_system_score_codex":0.0014820202,"about_ca_system_score_gemma":0.0014505963,"threshold_uncertainty_score":0.04817015},"labels":[],"label_agreement":null},{"id":"W2073305885","doi":"10.1145/2766897","title":"Homogeneous codes for energy-efficient illumination and imaging","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Army Research Laboratory; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Epipolar geometry; Projector; Computer science; Computer vision; Artificial intelligence; Coding (social sciences); Structured light; Shutter; Laser; Efficient energy use; Computer graphics (images); Optics; Physics","score_opus":0.018897813445016176,"score_gpt":0.24468273080355635,"score_spread":0.22578491735854017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073305885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007074392,0.00017915638,0.9889165,0.00008778978,0.000016929953,0.00001874175,0.00003340008,0.00013559658,0.0035374826],"genre_scores_gemma":[0.28309107,0.0006536456,0.7073722,0.0001550297,0.000061691026,0.00015968172,0.00014514691,0.00021931503,0.008142279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995702,0.00009966468,0.000018301786,0.00006209224,0.00019562438,0.000054063534],"domain_scores_gemma":[0.99936,0.00026214073,0.00007589124,0.00013133806,0.00013944485,0.00003120118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048216438,0.0004865153,0.00030352012,0.0005556843,0.00030794617,0.0006501194,0.0005382862,0.0004960109,0.0024854902],"category_scores_gemma":[0.001490566,0.0002650359,0.00035526228,0.00063146156,0.0010465762,0.00090634415,0.0009380441,0.0008944562,0.0007992099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010384509,0.000061678926,0.00028125788,0.00014553103,0.00001984532,0.00006781874,0.00013677725,0.19207512,0.08004079,0.6074215,0.0027937212,0.11685211],"study_design_scores_gemma":[0.00002788327,0.000087475804,0.00018172538,0.00002802205,0.000011700082,0.000103822145,0.000039816958,0.79984087,0.048194632,0.1395854,0.011868351,0.000030248795],"about_ca_topic_score_codex":0.001115825,"about_ca_topic_score_gemma":0.0017686917,"teacher_disagreement_score":0.0024854902,"about_ca_system_score_codex":0.00093425467,"about_ca_system_score_gemma":0.00076881517,"threshold_uncertainty_score":0.008314788},"labels":[],"label_agreement":null},{"id":"W2074178568","doi":"10.1145/2461912.2461913","title":"<i>L</i> <sub>1</sub> -medial skeleton of point cloud","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Point cloud; Medial axis; Topological skeleton; Outlier; Skeleton (computer programming); Computer science; Representation (politics); Point (geometry); Noise (video); Set (abstract data type); Artificial intelligence; Geometry; Algorithm; Computer vision; Mathematics; Segmentation; Active shape model; Image (mathematics)","score_opus":0.00861281450043705,"score_gpt":0.19277136928310035,"score_spread":0.1841585547826633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074178568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00685767,0.00009015092,0.98788655,0.00011696463,0.00004032952,0.00005771381,0.00053123856,0.0026000557,0.0018193958],"genre_scores_gemma":[0.09679262,0.00033397577,0.89628667,0.00009605338,0.00007403427,0.00016694832,0.0022651646,0.0009068015,0.003077743],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993036,0.00006016925,0.000062768246,0.00014729657,0.00036016048,0.00006604167],"domain_scores_gemma":[0.9990075,0.00012544743,0.00016647209,0.00033193707,0.00028469818,0.000083849634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051404495,0.0007826269,0.0006669848,0.0027573246,0.0005028807,0.0018695171,0.0010437916,0.0010636146,0.006862657],"category_scores_gemma":[0.0026151773,0.00054577395,0.0008965437,0.0021729048,0.0012095199,0.0018001702,0.0019298814,0.0010721189,0.0047834804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003059626,0.00008511878,0.0039974465,0.0005105401,0.000060731083,0.0009852294,0.000684721,0.07770851,0.123017035,0.10977654,0.024281913,0.6585863],"study_design_scores_gemma":[0.000028029215,0.00016383018,0.0053980397,0.0001438699,0.000024749641,0.0025182946,0.00024844293,0.7549782,0.074398525,0.06812,0.09383998,0.00013805386],"about_ca_topic_score_codex":0.0015834295,"about_ca_topic_score_gemma":0.0016991777,"teacher_disagreement_score":0.006862657,"about_ca_system_score_codex":0.000478708,"about_ca_system_score_gemma":0.0007524603,"threshold_uncertainty_score":0.022957921},"labels":[],"label_agreement":null},{"id":"W2074217677","doi":"10.1145/2766975","title":"WorldBrush","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Palette (painting); Computer science; Computer graphics (images); Painting; Set (abstract data type); Consistency (knowledge bases); Range (aeronautics); Terrain; Metaverse; Procedural modeling; Artificial intelligence; Virtual reality; Visual arts; Art; Programming language","score_opus":0.0561555332309788,"score_gpt":0.307554178884208,"score_spread":0.2513986456532292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074217677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046558194,0.000438739,0.9152924,0.00026663477,0.00027682324,0.00015351723,0.0007896944,0.01644164,0.061684795],"genre_scores_gemma":[0.11183507,0.00073392084,0.7800781,0.00035490363,0.00009877694,0.0004678,0.00270181,0.005772005,0.09795758],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995547,0.000052260224,0.00002089485,0.00013113872,0.00019183074,0.00004922948],"domain_scores_gemma":[0.99958605,0.0000661163,0.000018704317,0.00021893824,0.000057034806,0.000053172826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475462,0.000815425,0.00059783115,0.0012700986,0.0008830711,0.0028355333,0.002079463,0.00084831513,0.05385154],"category_scores_gemma":[0.0013488381,0.00065694645,0.000992406,0.00087370776,0.0007649992,0.002676537,0.0037320394,0.0011995399,0.014756665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033419929,0.00013088225,0.00049711356,0.0005727299,0.00006763397,0.00047522478,0.0013435282,0.01244404,0.058489416,0.2520684,0.069736674,0.6038402],"study_design_scores_gemma":[0.000050886305,0.0000733478,0.00049118575,0.00008177515,0.000033204054,0.0006808827,0.00026061133,0.05925319,0.024628952,0.05546385,0.858911,0.000071295086],"about_ca_topic_score_codex":0.0016252036,"about_ca_topic_score_gemma":0.003221916,"teacher_disagreement_score":0.05385154,"about_ca_system_score_codex":0.00042542221,"about_ca_system_score_gemma":0.0005779733,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2074502458","doi":"10.1145/2516971.2516974","title":"High-quality computational imaging through simple lenses","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Distortion (music); Computational photography; Chromatic aberration; Optics; Computer vision; Lens (geology); Deconvolution; Simple (philosophy); Curvature; Artificial intelligence; Point spread function; Chromatic scale; Image quality; Geometrical optics; Channel (broadcasting); Photography; Blind deconvolution; Set (abstract data type); Mathematics; Algorithm; Image processing; Physics; Image (mathematics); Telecommunications; Geometry","score_opus":0.023438713939976045,"score_gpt":0.2847497534812456,"score_spread":0.26131103954126955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074502458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01778441,0.000109828194,0.97874683,0.00009126315,0.000029979434,0.000029345967,0.00011161627,0.00064155494,0.0024551356],"genre_scores_gemma":[0.14072579,0.0002910305,0.85442555,0.000079339334,0.00004142992,0.00005237852,0.0002958674,0.00021527582,0.0038732858],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944836,0.000066321765,0.00002260508,0.00008824222,0.00033858843,0.000035858768],"domain_scores_gemma":[0.9991315,0.0002503694,0.00009890282,0.00025843424,0.00022102546,0.000039769613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045724792,0.00068983797,0.00042579486,0.00044192668,0.0002898951,0.0013514496,0.0008247843,0.00047426735,0.004307422],"category_scores_gemma":[0.0023965735,0.00032827616,0.00042800172,0.00048523166,0.0006589266,0.0012924309,0.0011836687,0.00091522915,0.0013543017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053119584,0.00014078242,0.0029428157,0.00050105137,0.0001450495,0.00027709798,0.00035622725,0.18120174,0.32960927,0.05688268,0.009308273,0.41810375],"study_design_scores_gemma":[0.000042545405,0.000116836796,0.0026380073,0.000038653117,0.000023125931,0.00038732935,0.0000710983,0.8698123,0.10054412,0.010656648,0.015596993,0.000072277675],"about_ca_topic_score_codex":0.0025003408,"about_ca_topic_score_gemma":0.005002745,"teacher_disagreement_score":0.004307422,"about_ca_system_score_codex":0.0004910422,"about_ca_system_score_gemma":0.00106224,"threshold_uncertainty_score":0.0144097805},"labels":[],"label_agreement":null},{"id":"W2076246983","doi":"10.1145/1409060.1409085","title":"Time-resolved 3d capture of non-stationary gas flows","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":195,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft","keywords":"Schlieren; Computer science; Grid; Shutter; Ray tracing (physics); Computer graphics (images); Graphics; Tomography; Computer graphics; Flow (mathematics); Computational science; Computer vision; Algorithm; Optics; Physics; Geometry; Mechanics; Mathematics","score_opus":0.019805032962312088,"score_gpt":0.2634176987498169,"score_spread":0.24361266578750482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076246983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18800804,0.00020942846,0.807184,0.00023869537,0.000047262067,0.000073476134,0.000420563,0.0014955684,0.0023229409],"genre_scores_gemma":[0.62959313,0.0003575695,0.36837232,0.00008582158,0.000029981697,0.00007067945,0.00049344444,0.00014111599,0.0008559872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997937,0.000032023472,0.000008299901,0.000032731466,0.00011151056,0.000021701337],"domain_scores_gemma":[0.9995975,0.00014648399,0.000048721962,0.00011185322,0.00006911651,0.000026279968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025979726,0.00035362228,0.00043720542,0.00068145746,0.0002152866,0.0005919636,0.0005095216,0.00044483852,0.0011696317],"category_scores_gemma":[0.0010714593,0.00037008146,0.0003402598,0.00049018196,0.00041868928,0.00072654954,0.000673001,0.0007687239,0.00023275625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024072807,0.0001266657,0.005986484,0.00015641129,0.000055750006,0.00048456265,0.00040549535,0.27527994,0.5596976,0.00933579,0.0025212993,0.14570917],"study_design_scores_gemma":[0.000020139236,0.000053198244,0.0037722215,0.000011289979,0.000010060283,0.00026835213,0.00007944276,0.90979594,0.08078065,0.0026286778,0.0025360084,0.000044070017],"about_ca_topic_score_codex":0.0017682128,"about_ca_topic_score_gemma":0.0031747692,"teacher_disagreement_score":0.0017682128,"about_ca_system_score_codex":0.000344141,"about_ca_system_score_gemma":0.00060697575,"threshold_uncertainty_score":0.003912747},"labels":[],"label_agreement":null},{"id":"W2076491823","doi":"10.1145/2601097.2601206","title":"Intrinsic images in the wild","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":403,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Information and Intelligent Systems; Natural Sciences and Engineering Research Council of Canada; Intel Corporation","keywords":"Ground truth; Computer science; Crowdsourcing; Benchmark (surveying); Image (mathematics); Range (aeronautics); Scalability; Artificial intelligence; Decomposition; Computer vision; Database; Geography; Cartography","score_opus":0.014021267338712522,"score_gpt":0.25135166114244883,"score_spread":0.2373303938037363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076491823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05975595,0.0027238855,0.7427607,0.0010279409,0.0008715975,0.0007231103,0.08520077,0.080761306,0.026174812],"genre_scores_gemma":[0.17465648,0.0008522814,0.63505024,0.00073088554,0.00016244836,0.00050602446,0.17523971,0.0048026307,0.0079992],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974113,0.00028868538,0.00011575866,0.0011292199,0.0008382371,0.00021674282],"domain_scores_gemma":[0.9963069,0.0004828484,0.00017177769,0.0021003783,0.0007691438,0.00016905036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015432399,0.0016074206,0.0011869932,0.0023196815,0.00080682756,0.0024203127,0.0031218522,0.0016912073,0.009680135],"category_scores_gemma":[0.008228479,0.0007595949,0.0014934408,0.001906866,0.0011133623,0.0053151087,0.0028543577,0.0020563724,0.009843915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001016188,0.00047118595,0.006649091,0.0010769689,0.00026770678,0.00039021356,0.0003132627,0.032527845,0.0375676,0.019465555,0.26036423,0.6398902],"study_design_scores_gemma":[0.00021440598,0.00042823676,0.016236963,0.00034863246,0.00010922787,0.0020974511,0.00084105524,0.5110569,0.08269567,0.07280278,0.31290135,0.0002673036],"about_ca_topic_score_codex":0.009137458,"about_ca_topic_score_gemma":0.016816957,"teacher_disagreement_score":0.009680135,"about_ca_system_score_codex":0.0011294505,"about_ca_system_score_gemma":0.0010872144,"threshold_uncertainty_score":0.032383263},"labels":[],"label_agreement":null},{"id":"W2076806230","doi":"10.1145/2366145.2366173","title":"Terrain runner","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Education - Singapore","keywords":"Computer science; Terrain; Continuation; Obstacle; Process (computing); Control theory (sociology); Motion (physics); Trajectory; Simulation; Artificial intelligence; Computer vision; Control (management); Law","score_opus":0.021017206999397804,"score_gpt":0.23501505550784665,"score_spread":0.21399784850844886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076806230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20639873,0.0005362019,0.5788055,0.00077747373,0.00043993336,0.00038960922,0.0010437014,0.009307498,0.20230135],"genre_scores_gemma":[0.6726217,0.0006279525,0.20682311,0.00033384288,0.000049129158,0.00020931239,0.0022102124,0.00078806427,0.11633659],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998833,0.00002054457,0.0000047883104,0.00004478873,0.000030529918,0.000016094982],"domain_scores_gemma":[0.9998728,0.00002532765,0.000008469811,0.000032516138,0.000021858988,0.0000390977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013517735,0.00066630816,0.00032303558,0.00020734583,0.0004433678,0.0006882574,0.00085946056,0.0006042225,0.039273933],"category_scores_gemma":[0.00056364713,0.00017938271,0.0004185666,0.00012170181,0.00033466506,0.0009798295,0.0013573148,0.0007720974,0.00944972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000790741,0.00057809934,0.008073493,0.0008157445,0.000094458286,0.0018847767,0.0021994112,0.14837176,0.15288375,0.07826721,0.030767806,0.57527286],"study_design_scores_gemma":[0.0001264428,0.0016314806,0.008573084,0.00027910224,0.0000721306,0.0027994502,0.0012577455,0.45503142,0.056340046,0.03647343,0.4372737,0.0001420075],"about_ca_topic_score_codex":0.0010608465,"about_ca_topic_score_gemma":0.002358157,"teacher_disagreement_score":0.039273933,"about_ca_system_score_codex":0.00021210506,"about_ca_system_score_gemma":0.00032229238,"threshold_uncertainty_score":0.13138443},"labels":[],"label_agreement":null},{"id":"W2077178139","doi":"10.1145/2601097.2601128","title":"True2Form","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Agence Nationale de la Recherche","keywords":"Sketch; Computer science; Artificial intelligence; Curvature; Regularization (linguistics); Fidelity; Range (aeronautics); Theoretical computer science; Algorithm; Computer vision; Mathematics; Geometry","score_opus":0.011627576293054893,"score_gpt":0.20552293932868027,"score_spread":0.19389536303562538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077178139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00503995,0.0005463207,0.7897181,0.00024926208,0.0002719025,0.0002583712,0.005221589,0.1520916,0.04660301],"genre_scores_gemma":[0.13932657,0.0012672296,0.7052557,0.00081121095,0.00010458658,0.0005103936,0.02638106,0.037567385,0.08877592],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990947,0.00008430584,0.000045348184,0.00019447299,0.00050540204,0.0000758248],"domain_scores_gemma":[0.99900204,0.00023724131,0.000052645904,0.0004338866,0.00022198855,0.000052275285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009744472,0.0018934195,0.0009073551,0.0017655873,0.00074810564,0.0032623315,0.00328512,0.0018585047,0.092059456],"category_scores_gemma":[0.0040442,0.0013383771,0.0021255468,0.000821101,0.0009892643,0.0034123573,0.0037191864,0.0013206733,0.031287707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069859467,0.00015384414,0.0027535665,0.0012934286,0.00016770566,0.0007586005,0.0007600249,0.037996653,0.023146002,0.07667829,0.23399004,0.62160325],"study_design_scores_gemma":[0.00014274119,0.00021269481,0.0010828396,0.00021756064,0.00006767515,0.001499201,0.00017408909,0.3395477,0.03378454,0.040321477,0.5827675,0.00018199648],"about_ca_topic_score_codex":0.0029169593,"about_ca_topic_score_gemma":0.005833116,"teacher_disagreement_score":0.092059456,"about_ca_system_score_codex":0.0008161429,"about_ca_system_score_gemma":0.0009894812,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2077458099","doi":"10.1145/2185520.2185535","title":"Primal-dual coding to probe light transport","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Specular reflection; Computer science; Computer vision; Photography; Artificial intelligence; Coding (social sciences); Pixel; Ray; Computer graphics (images); Matrix (chemical analysis); Optics; Physics; Mathematics; Materials science; Art","score_opus":0.030725090005692447,"score_gpt":0.2917902560422788,"score_spread":0.26106516603658636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077458099","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06549047,0.000215308,0.92347085,0.00023038128,0.0000878982,0.000051370167,0.00015525278,0.00046243338,0.009836025],"genre_scores_gemma":[0.49915296,0.00033696674,0.49386272,0.000214092,0.000042355565,0.00014148012,0.0002261359,0.0002188547,0.005804481],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997526,0.000055216206,0.0000064368346,0.000040219362,0.00010992799,0.00003571206],"domain_scores_gemma":[0.99944717,0.00022190157,0.0000646925,0.00011556388,0.000105168634,0.000045473163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003893935,0.00048345813,0.00038046765,0.00044579935,0.00023683591,0.0008888312,0.0005164798,0.00042661556,0.0032876297],"category_scores_gemma":[0.0012951881,0.00025582197,0.00025068125,0.00047500705,0.000800365,0.0007494618,0.0010080131,0.0012400434,0.0005193771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058675307,0.0002187174,0.0011975134,0.0002832617,0.000034255143,0.00025059507,0.00033768622,0.20144044,0.45208776,0.1768705,0.0040005604,0.16269203],"study_design_scores_gemma":[0.000021526585,0.00006217565,0.00028897007,0.000016929736,0.0000056050053,0.00012997915,0.000037478603,0.87929434,0.0951373,0.020839043,0.0041357344,0.000030818715],"about_ca_topic_score_codex":0.0005626547,"about_ca_topic_score_gemma":0.00050240254,"teacher_disagreement_score":0.0032876297,"about_ca_system_score_codex":0.00055692164,"about_ca_system_score_gemma":0.00046311182,"threshold_uncertainty_score":0.010998249},"labels":[],"label_agreement":null},{"id":"W2077507420","doi":"10.1145/990002.990006","title":"A final reconstruction approach for a unified global illumination algorithm","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Global illumination; Computer science; Radiosity (computer graphics); Algorithm; Cluster analysis; Ray tracing (physics); Artificial intelligence; Computer vision; Computer graphics (images); Rendering (computer graphics)","score_opus":0.03649499426690347,"score_gpt":0.2918925419023249,"score_spread":0.25539754763542144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077507420","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001298096,0.000022138063,0.9978034,0.00001701767,0.000008354177,0.0000113266815,0.000009136638,0.0003299111,0.0005006129],"genre_scores_gemma":[0.033138275,0.000056265486,0.96494997,0.000033127726,0.000014803377,0.000041507592,0.00011643357,0.0002927112,0.0013569593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906176,0.00013926889,0.000043904347,0.00019452519,0.00046050147,0.00009999004],"domain_scores_gemma":[0.9993393,0.00009700218,0.00003839444,0.00017993044,0.00030513527,0.00004028049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024858,0.0010407199,0.0011579545,0.0009641176,0.0006088774,0.0018175453,0.0015002633,0.0013587491,0.0041548745],"category_scores_gemma":[0.0018115279,0.00082057266,0.0017083293,0.0006851896,0.0007704719,0.0013103549,0.0021277333,0.0019140436,0.0017458326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030575754,0.00011938815,0.0010980635,0.0002663667,0.00016601838,0.00022140711,0.0004932566,0.36543334,0.10733274,0.090696014,0.005386811,0.4284808],"study_design_scores_gemma":[0.000027875,0.00007350215,0.00021815367,0.000016023685,0.000037619964,0.000172063,0.000047071397,0.9537112,0.027866824,0.009340684,0.008451628,0.000037434223],"about_ca_topic_score_codex":0.001585177,"about_ca_topic_score_gemma":0.002098152,"teacher_disagreement_score":0.0041548745,"about_ca_system_score_codex":0.0005512717,"about_ca_system_score_gemma":0.0012445215,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2080144738","doi":"10.1145/2077341.2077351","title":"Fluid simulation using Laplacian eigenfunctions","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Eigenfunction; Basis (linear algebra); Vorticity; Laplace operator; Basis function; Eulerian path; Mathematics; Polygon mesh; Galerkin method; Domain (mathematical analysis); Grid; Mathematical analysis; Applied mathematics; Geometry; Eigenvalues and eigenvectors; Finite element method; Lagrangian; Vortex; Physics","score_opus":0.06352250691724938,"score_gpt":0.33095228022079254,"score_spread":0.2674297733035432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080144738","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030371998,0.000041516938,0.9622676,0.00018698318,0.000037757218,0.00003924946,0.000056660676,0.00075130805,0.00624687],"genre_scores_gemma":[0.51977384,0.00015148922,0.473339,0.00010680678,0.000026771891,0.00022106853,0.00017659023,0.00032331017,0.005881128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984515,0.000042042226,0.000006499117,0.000015183791,0.00007341159,0.000017630446],"domain_scores_gemma":[0.99979514,0.00008081512,0.000015685608,0.000034801404,0.000050429866,0.000023162711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027703051,0.00037469613,0.00030866484,0.0005079132,0.0004502094,0.00062872743,0.00055322406,0.0007433206,0.0026056366],"category_scores_gemma":[0.0010585488,0.0002161787,0.0003689609,0.0003601666,0.00051370304,0.00085268077,0.0011340101,0.0005127814,0.00049618323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051118535,0.000057921356,0.00058580114,0.00003317906,0.000014784607,0.00014763747,0.00012073137,0.87265444,0.020999048,0.072813846,0.0018577276,0.030663738],"study_design_scores_gemma":[0.000004151371,0.0000047170665,0.00002183726,0.0000014145168,5.370734e-7,0.000011190458,0.0000040709947,0.99297225,0.0011743001,0.0051134694,0.0006888705,0.0000031398652],"about_ca_topic_score_codex":0.0014069069,"about_ca_topic_score_gemma":0.0011416586,"teacher_disagreement_score":0.0026056366,"about_ca_system_score_codex":0.00043980288,"about_ca_system_score_gemma":0.00066097704,"threshold_uncertainty_score":0.008716762},"labels":[],"label_agreement":null},{"id":"W2080466697","doi":"10.1145/2546276","title":"Facial performance enhancement using dynamic shape space analysis","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Motion capture; Animation; Artificial intelligence; Computer facial animation; Computer vision; Computer graphics (images); Computer animation; Facial motion capture; Motion (physics); Pattern recognition (psychology); Facial recognition system; Face detection","score_opus":0.014482657997228905,"score_gpt":0.23467072356171229,"score_spread":0.2201880655644834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080466697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089608684,0.00027516944,0.89500576,0.00020262729,0.000081663435,0.0001204897,0.0002979087,0.004662448,0.00974525],"genre_scores_gemma":[0.5959643,0.00058939325,0.3920019,0.00016567782,0.00007332505,0.00009785727,0.0008856393,0.0009812515,0.0092407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966896,0.000041984254,0.000010166976,0.00006503914,0.00017768651,0.00003620961],"domain_scores_gemma":[0.99967957,0.000091602684,0.000034644203,0.00008218262,0.00008404395,0.000027977445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003392722,0.0007330928,0.00047835513,0.0009339067,0.00026390929,0.00070907886,0.0005434347,0.0003524077,0.004731833],"category_scores_gemma":[0.0011276712,0.00026803653,0.00064431375,0.00041806314,0.0003511166,0.00055322616,0.0010360221,0.0005725826,0.0013524211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027707507,0.00010112837,0.0019814018,0.00016830674,0.000071687085,0.00023499755,0.00027635347,0.09632045,0.27113035,0.0035803851,0.0051889042,0.6206689],"study_design_scores_gemma":[0.0000192233,0.00019224081,0.0058915294,0.000043119853,0.000048076614,0.0008188362,0.00017883372,0.8765718,0.098653756,0.0032955513,0.014220139,0.00006680719],"about_ca_topic_score_codex":0.0014717872,"about_ca_topic_score_gemma":0.0022254442,"teacher_disagreement_score":0.004731833,"about_ca_system_score_codex":0.00035810398,"about_ca_system_score_gemma":0.0002823058,"threshold_uncertainty_score":0.015829563},"labels":[],"label_agreement":null},{"id":"W2081808639","doi":"10.1145/2766948","title":"SecondSkin","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sketch; Computer science; Set (abstract data type); Context (archaeology); Surface (topology); Artificial intelligence; Geometry; Geometric modeling; Computer graphics (images); Algorithm; Mathematics; Geology","score_opus":0.05177578471137209,"score_gpt":0.3028403244809375,"score_spread":0.25106453976956544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081808639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023678914,0.0017530931,0.52163893,0.0005165776,0.0007909896,0.00073649455,0.021600183,0.32370552,0.10557928],"genre_scores_gemma":[0.19816408,0.0023278336,0.5100012,0.00064874865,0.00016161526,0.0011309475,0.067841224,0.048243634,0.17148075],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992674,0.00009469049,0.0000560598,0.00019222256,0.00033562182,0.00005395487],"domain_scores_gemma":[0.99851614,0.00040793198,0.000064294596,0.0005535634,0.00036179667,0.00009636485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008387767,0.0015119856,0.00087971566,0.0015692113,0.0006583563,0.0027535355,0.0023020413,0.0011318458,0.11519416],"category_scores_gemma":[0.0040858397,0.00089875766,0.0014418997,0.0010513494,0.00058728294,0.003044581,0.003028772,0.0012131544,0.04175807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010642868,0.00017697323,0.003045009,0.0023951272,0.00020977906,0.0007154943,0.001356692,0.021866236,0.033115335,0.053636916,0.37597752,0.5064406],"study_design_scores_gemma":[0.00019517483,0.0002770538,0.0017632644,0.00027403724,0.00007903168,0.0013635636,0.00031103168,0.1436369,0.024620911,0.018371245,0.8089615,0.00014639864],"about_ca_topic_score_codex":0.0028002823,"about_ca_topic_score_gemma":0.0060662734,"teacher_disagreement_score":0.11519416,"about_ca_system_score_codex":0.0007530588,"about_ca_system_score_gemma":0.00092682015,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2082145490","doi":"10.1145/1360612.1360698","title":"Markerless garment capture","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Motion capture; Computer science; Computer graphics (images); Computer vision; Motion (physics); Artificial intelligence; Range (aeronautics); Clothing; Geometry; Mathematics; Engineering","score_opus":0.01925767049380122,"score_gpt":0.20776259573742725,"score_spread":0.18850492524362603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082145490","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07297688,0.0011878652,0.91339356,0.00013136693,0.00014534312,0.00011786914,0.0007587427,0.0027143299,0.008574059],"genre_scores_gemma":[0.6497335,0.0015013549,0.33722976,0.00017755752,0.000084388455,0.0001303071,0.0018172598,0.00049818325,0.00882758],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947006,0.000046645386,0.000020928419,0.0001617819,0.00023144417,0.00006908227],"domain_scores_gemma":[0.99962556,0.0000477767,0.000046704416,0.00018956284,0.00005981401,0.000030510759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022344342,0.00071950693,0.00078410684,0.0010680854,0.0003605894,0.0012715287,0.0012992116,0.001051101,0.0047888886],"category_scores_gemma":[0.0009260384,0.00053303904,0.0005714423,0.0008585909,0.00035162846,0.0012548538,0.001987482,0.0006087019,0.0017384266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051174255,0.000115577845,0.004853169,0.00056468014,0.00012663176,0.001657547,0.0006281453,0.062755644,0.5585826,0.010962088,0.0075181765,0.3517239],"study_design_scores_gemma":[0.00005029714,0.00033441003,0.025250498,0.00020635902,0.0001157615,0.006135949,0.00044721557,0.50469166,0.3958279,0.0077215824,0.059031386,0.0001869893],"about_ca_topic_score_codex":0.0015566495,"about_ca_topic_score_gemma":0.0020298557,"teacher_disagreement_score":0.0047888886,"about_ca_system_score_codex":0.00029794654,"about_ca_system_score_gemma":0.00038372687,"threshold_uncertainty_score":0.016020358},"labels":[],"label_agreement":null},{"id":"W2083125194","doi":"10.1145/2366145.2366152","title":"Sparse PDF maps for non-linear multi-resolution image operations","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Kootenay Association for Science & Technology","funders":"","keywords":"Pyramid (geometry); Computer science; Histogram; Artificial intelligence; Computer vision; Pixel; Representation (politics); Computation; Bilateral filter; Filter (signal processing); Image (mathematics); Image resolution; Aliasing; Sparse approximation; Algorithm; Pattern recognition (psychology); Mathematics","score_opus":0.056756220710343454,"score_gpt":0.32283509629788215,"score_spread":0.2660788755875387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083125194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036831705,0.00012863259,0.99385464,0.00008898681,0.0000352494,0.000019079074,0.00005267384,0.0004482424,0.0016892932],"genre_scores_gemma":[0.15926526,0.0007041416,0.8353692,0.00015822839,0.000113768154,0.00009049478,0.00022532756,0.00025648615,0.0038170863],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996611,0.000035771023,0.000014762445,0.00003880864,0.00022075848,0.000028837714],"domain_scores_gemma":[0.99938107,0.0002358449,0.000044707096,0.00014018823,0.00016951555,0.000028635499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043375927,0.00054376555,0.00036759395,0.00067343627,0.0002448054,0.0009961857,0.0007048683,0.0005778083,0.0053688977],"category_scores_gemma":[0.0025189405,0.00023836961,0.00045229212,0.0006979151,0.0004777744,0.0017073058,0.0009067778,0.00093084277,0.0013118315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002188655,0.000102575985,0.0005671414,0.00041677782,0.00004721518,0.00051267305,0.00019086983,0.13941449,0.12343689,0.22747464,0.010420568,0.49719733],"study_design_scores_gemma":[0.000024434108,0.000058360984,0.0004437926,0.000025621992,0.000017807108,0.00055465323,0.000048716687,0.83291245,0.05787159,0.09051987,0.017495943,0.000026759742],"about_ca_topic_score_codex":0.0007145406,"about_ca_topic_score_gemma":0.00092253735,"teacher_disagreement_score":0.0053688977,"about_ca_system_score_codex":0.00040874488,"about_ca_system_score_gemma":0.00042478557,"threshold_uncertainty_score":0.017960727},"labels":[],"label_agreement":null},{"id":"W2085419112","doi":"10.1145/1778765.1778784","title":"Matching fluid simulation elements to surface geometry and topology","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Voronoi diagram; Polygon mesh; Delaunay triangulation; Interpolation (computer graphics); Surface (topology); Topology (electrical circuits); Computer science; Mesh generation; Geometry; Geometry processing; Bowyer–Watson algorithm; Computational science; Algorithm; Computer graphics (images); Mathematics; Finite element method; Computer vision; Physics; Motion (physics)","score_opus":0.020507625385617408,"score_gpt":0.3162636864741508,"score_spread":0.2957560610885334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085419112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006443133,0.000019671614,0.9922638,0.000035073797,0.000017114531,0.000034532626,0.000041442352,0.00030314684,0.0008421124],"genre_scores_gemma":[0.2720681,0.00016677532,0.72428125,0.000062400504,0.00003248714,0.0002647118,0.00032974186,0.00055962504,0.002234892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912626,0.00015926176,0.000044611083,0.00010857125,0.00048361463,0.000077663004],"domain_scores_gemma":[0.9990963,0.00031090557,0.000080774495,0.00023042003,0.00021452206,0.00006712528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074895273,0.00054270896,0.0008073158,0.0010474016,0.000541455,0.0018112693,0.0016841062,0.001106932,0.0027639896],"category_scores_gemma":[0.0065374905,0.0006305463,0.000596216,0.0007735751,0.0010200342,0.001586465,0.0025287082,0.000997895,0.001031336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056159457,0.0000433003,0.00078239955,0.00006027984,0.000016836673,0.00009477483,0.00017414727,0.86940515,0.016800756,0.0749071,0.000670502,0.036988534],"study_design_scores_gemma":[0.000008121684,0.000012984332,0.00008708664,0.000005520957,0.0000024192807,0.000026130654,0.000022254466,0.97442067,0.0055813217,0.015242043,0.0045823567,0.00000909504],"about_ca_topic_score_codex":0.0036339022,"about_ca_topic_score_gemma":0.0023246915,"teacher_disagreement_score":0.0036339022,"about_ca_system_score_codex":0.0008619916,"about_ca_system_score_gemma":0.0012911378,"threshold_uncertainty_score":0.009246469},"labels":[],"label_agreement":null},{"id":"W2086145568","doi":"10.1145/2560328","title":"Flow-complex-based shape reconstruction from 3D curves","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Embedding; Intersection (aeronautics); Computer science; Parametric equation; Topology (electrical circuits); Range (aeronautics); Algorithm; Geometry; Mathematics; Parametric statistics; Artificial intelligence; Combinatorics","score_opus":0.02162561614523633,"score_gpt":0.21702868794899813,"score_spread":0.1954030718037618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086145568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012030588,0.000057921578,0.98564315,0.000051603653,0.000013851935,0.0000494016,0.000056015284,0.0012341727,0.00086331257],"genre_scores_gemma":[0.18457414,0.00020179838,0.811142,0.00007897265,0.000025877407,0.000073481264,0.0004777985,0.00069753494,0.0027283826],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991804,0.00008613816,0.00003496011,0.0001580466,0.00048038168,0.000060010156],"domain_scores_gemma":[0.9982943,0.0004740556,0.00016801104,0.0006640595,0.00030568225,0.000093834904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009645399,0.0010703854,0.0009674043,0.0020402127,0.00053634157,0.0016539043,0.0015642785,0.0017114287,0.0036480802],"category_scores_gemma":[0.0042146114,0.000735118,0.0010619239,0.0013112469,0.001382353,0.0018587196,0.00213889,0.0015177304,0.0019920478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019213716,0.000109858614,0.0012971862,0.00020951942,0.0000652152,0.00030903393,0.00055838766,0.39973953,0.079368666,0.022349464,0.003294445,0.4925065],"study_design_scores_gemma":[0.000011596806,0.00005311286,0.00019450106,0.000013730449,0.00000658266,0.00025732283,0.000045150817,0.9640916,0.02424614,0.0072507076,0.0038062504,0.00002326875],"about_ca_topic_score_codex":0.0018220588,"about_ca_topic_score_gemma":0.0020209749,"teacher_disagreement_score":0.0036480802,"about_ca_system_score_codex":0.0006760426,"about_ca_system_score_gemma":0.00096781406,"threshold_uncertainty_score":0.012203991},"labels":[],"label_agreement":null},{"id":"W2089182646","doi":"10.1145/1618452.1618469","title":"Skipping steps in deformable simulation with online model reduction","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Institutes of Health; National Science Foundation","keywords":"Precomputation; Reduction (mathematics); Computer science; Model order reduction; Polygon mesh; Algorithm; Computation; Nonlinear system; Finite element method; Basis (linear algebra); Subspace topology; Linearization; Motion (physics); Mathematical optimization; Applied mathematics; Mathematics; Artificial intelligence; Computer graphics (images); Projection (relational algebra); Geometry; Physics","score_opus":0.0289921556266486,"score_gpt":0.3006623172098216,"score_spread":0.27167016158317303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089182646","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02854207,0.0001628478,0.960805,0.00015581485,0.000053578628,0.000090922156,0.00007874903,0.0068219663,0.0032890576],"genre_scores_gemma":[0.23718055,0.0001231422,0.75813645,0.00012518307,0.000025115964,0.00022057987,0.00026580266,0.0011586003,0.002764556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925095,0.00022000517,0.000035761463,0.00008828109,0.00033706738,0.00006784405],"domain_scores_gemma":[0.99790984,0.0010547192,0.00011228042,0.00064478785,0.00018133526,0.00009697656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009513982,0.00092732173,0.00093592115,0.0005366282,0.00072654913,0.00069210527,0.0022685165,0.001192082,0.0051945257],"category_scores_gemma":[0.0029580279,0.0008645403,0.0007727374,0.0004817813,0.0009702709,0.0014133031,0.0018358015,0.0017842453,0.0013335185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043704355,0.0003450428,0.0014227093,0.00019959969,0.00008104123,0.00022014359,0.0005499159,0.76807815,0.027925234,0.029711789,0.005068341,0.16596092],"study_design_scores_gemma":[0.00002147182,0.000023264578,0.000051342744,0.0000038304,0.0000037091081,0.000015884913,0.000013555493,0.99135596,0.004130438,0.0029471556,0.0014251446,0.000008384319],"about_ca_topic_score_codex":0.0068066125,"about_ca_topic_score_gemma":0.009534024,"teacher_disagreement_score":0.0068066125,"about_ca_system_score_codex":0.00076653814,"about_ca_system_score_gemma":0.0009165652,"threshold_uncertainty_score":0.017377377},"labels":[],"label_agreement":null},{"id":"W2091777098","doi":"10.1145/2185520.2185538","title":"Eyecatch","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Movement (music); Human–computer interaction; Computer vision","score_opus":0.024041733229139026,"score_gpt":0.23961283263295796,"score_spread":0.21557109940381894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091777098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058734845,0.00041197572,0.959541,0.00034132414,0.00024369691,0.00015966996,0.00072282343,0.008768304,0.023937726],"genre_scores_gemma":[0.26379052,0.00083175616,0.6740938,0.0006673133,0.00012452729,0.0006673945,0.0024560057,0.0029101649,0.05445853],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997658,0.000039243,0.000009845561,0.00007247132,0.00008306509,0.000029528786],"domain_scores_gemma":[0.99973637,0.00005942501,0.000016005804,0.00009808194,0.000045900997,0.000044214266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003807917,0.0007946676,0.0004418685,0.0007144143,0.0006028234,0.0011323284,0.0017794135,0.001338277,0.023757732],"category_scores_gemma":[0.0012238625,0.00041187165,0.00096596155,0.000316503,0.00083126395,0.001508815,0.002525552,0.0014231585,0.0044196225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005595359,0.00020249863,0.0019702294,0.00047578808,0.00017396064,0.0008021948,0.0007194621,0.13854939,0.051213022,0.31555936,0.07868021,0.4110943],"study_design_scores_gemma":[0.000104915096,0.00016496965,0.00075864326,0.000109654364,0.0000547681,0.0006303413,0.00007156431,0.6527761,0.013280169,0.086073615,0.24589509,0.00008015923],"about_ca_topic_score_codex":0.004079949,"about_ca_topic_score_gemma":0.008444413,"teacher_disagreement_score":0.023757732,"about_ca_system_score_codex":0.00058507605,"about_ca_system_score_gemma":0.0006874462,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2092068372","doi":"10.1145/2601097.2601149","title":"A constructive theory of sampling for image synthesis using reproducing Kernel bases","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Division of Computing and Communication Foundations; Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Pointwise; Sampling (signal processing); Computer science; Ray tracing (physics); Computer graphics; Global illumination; Rendering (computer graphics); Algorithm; Kernel (algebra); Constructive; Mathematics; Mathematical optimization; Artificial intelligence; Computer vision; Mathematical analysis; Optics","score_opus":0.055861964916617234,"score_gpt":0.3190603655622678,"score_spread":0.2631984006456506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092068372","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00050428347,0.00003607689,0.99893576,0.000021467107,0.00001005367,0.000007941815,0.0000047470526,0.000036788337,0.0004428837],"genre_scores_gemma":[0.1115467,0.0005158358,0.8844771,0.00014769462,0.00013399101,0.00017298234,0.0000741312,0.00018609481,0.0027454877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986156,0.00049904897,0.00006006599,0.00013225494,0.0006220492,0.00007095189],"domain_scores_gemma":[0.99809164,0.0010188579,0.00015084104,0.00031922848,0.00034925583,0.00007020937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020010436,0.0008780892,0.0006851945,0.0011774388,0.00045710368,0.0017513161,0.0012995017,0.0011396327,0.002460094],"category_scores_gemma":[0.00476937,0.0006070302,0.00115802,0.0009177794,0.0019943016,0.0018905408,0.0016755977,0.0021588781,0.0010261344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006993191,0.00004985608,0.0002271859,0.00015350735,0.000031940523,0.00011140197,0.00018159574,0.13827859,0.023170019,0.7543719,0.0014665106,0.08188767],"study_design_scores_gemma":[0.000016843684,0.00007680287,0.000068616166,0.000024828081,0.000010502719,0.00013209473,0.000025864014,0.8777416,0.007919492,0.10934368,0.004609843,0.000029810037],"about_ca_topic_score_codex":0.0006250529,"about_ca_topic_score_gemma":0.00055973383,"teacher_disagreement_score":0.002460094,"about_ca_system_score_codex":0.000981992,"about_ca_system_score_gemma":0.0008029664,"threshold_uncertainty_score":0.0105826855},"labels":[],"label_agreement":null},{"id":"W2092705625","doi":"10.1145/2019627.2019635","title":"Steady affine motions and morphs","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Canadian Psychological Association; National Science Foundation","keywords":"Affine transformation; Mathematics; Affine coordinate system; Affine shape adaptation; Combinatorics; Pure mathematics; Affine combination; Affine space","score_opus":0.050580315366098624,"score_gpt":0.2735883850019872,"score_spread":0.22300806963588854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092705625","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084189475,0.00048352126,0.90742296,0.00013237822,0.00007089947,0.00006622911,0.00017222388,0.0011239203,0.0063384096],"genre_scores_gemma":[0.75840324,0.0005534182,0.23383895,0.00009410563,0.000113090144,0.00008988986,0.00042378134,0.0005781869,0.005905289],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991689,0.000111412606,0.00006305489,0.00027115576,0.00031218497,0.00007340001],"domain_scores_gemma":[0.9980926,0.00052193366,0.0004135763,0.0005034824,0.00036240122,0.00010598862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076158234,0.00065718376,0.00047773228,0.0022686902,0.0005557993,0.0016804625,0.00078321964,0.00058869965,0.00464312],"category_scores_gemma":[0.004750842,0.0004935674,0.00051534106,0.0015092863,0.0019523659,0.0028195716,0.0012189077,0.0006520495,0.00087703153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036834818,0.00008424818,0.012651572,0.0003831991,0.00008184293,0.00026077684,0.00081145763,0.15639338,0.08244434,0.21413772,0.002826235,0.52955693],"study_design_scores_gemma":[0.00003046756,0.0005060829,0.019528763,0.00007115119,0.000070337,0.0011260159,0.00051688513,0.7328066,0.04710691,0.17461628,0.023465967,0.00015461139],"about_ca_topic_score_codex":0.00093851116,"about_ca_topic_score_gemma":0.0010672209,"teacher_disagreement_score":0.00464312,"about_ca_system_score_codex":0.000614099,"about_ca_system_score_gemma":0.00032598327,"threshold_uncertainty_score":0.015532732},"labels":[],"label_agreement":null},{"id":"W2096044049","doi":"10.1145/2661229.2661264","title":"Robust iso-surface tracking for interactive character skinning","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Agence Nationale de la Recherche; Intel Corporation","keywords":"Skinning; Character (mathematics); Computer science; Impression; Tracking (education); Computer vision; Computer graphics (images); Artificial intelligence; Algorithm; Mathematics; Geometry; Mechanical engineering; Engineering","score_opus":0.030636683534865452,"score_gpt":0.23865804053495474,"score_spread":0.20802135700008928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096044049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004781385,0.000049572656,0.99304926,0.000027632892,0.000025879182,0.000023110593,0.000015843707,0.0012374133,0.00078985514],"genre_scores_gemma":[0.2701705,0.00017993143,0.7227913,0.00011588002,0.000043421744,0.00011178294,0.0002114723,0.0015507948,0.004824917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891484,0.00018342074,0.000047632944,0.0002556575,0.000500884,0.00009766257],"domain_scores_gemma":[0.9985493,0.0004425684,0.00011921551,0.00051698345,0.00026443493,0.00010743243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009116864,0.00086172676,0.00092807086,0.00094696146,0.0005805912,0.0016808193,0.0021671194,0.0014105997,0.0040776036],"category_scores_gemma":[0.003774133,0.00072778016,0.0009327187,0.00062834786,0.0010879734,0.0020299687,0.0028652276,0.001878547,0.0016402222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033038194,0.00013730972,0.0012751847,0.00026137067,0.000078445155,0.0003038447,0.0007254428,0.4299261,0.12505418,0.026053993,0.004286896,0.41156694],"study_design_scores_gemma":[0.0000071474424,0.000034767625,0.0001873843,0.000011761439,0.0000067533947,0.00010628418,0.000042916326,0.96800554,0.0223202,0.0049618436,0.0042951126,0.00002028467],"about_ca_topic_score_codex":0.0013812378,"about_ca_topic_score_gemma":0.001840101,"teacher_disagreement_score":0.0040776036,"about_ca_system_score_codex":0.00061416987,"about_ca_system_score_gemma":0.0005788802,"threshold_uncertainty_score":0.013641},"labels":[],"label_agreement":null},{"id":"W2097048977","doi":"10.1145/2461912.2461925","title":"Adaptive image synthesis for compressive displays","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Alfred P. Sloan Foundation","keywords":"Computer science; Rendering (computer graphics); High dynamic range; Computer vision; Stereoscopy; Computer graphics (images); Artificial intelligence; Light field; Compressed sensing; Set (abstract data type); Global illumination; Dynamic range","score_opus":0.017623654002353502,"score_gpt":0.23828080437782861,"score_spread":0.22065715037547512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097048977","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061826874,0.00024094393,0.99107623,0.0001366604,0.00002181842,0.000016126696,0.000028924675,0.000189854,0.002106622],"genre_scores_gemma":[0.37929282,0.0010859487,0.61203784,0.00026500577,0.00019847523,0.00015544915,0.00018505749,0.00018404987,0.0065954616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972385,0.00007770323,0.000009876559,0.000045776356,0.00012594606,0.000016848662],"domain_scores_gemma":[0.9996501,0.00021566816,0.000028592935,0.000043363612,0.000047721587,0.000014627915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035801093,0.00040855474,0.00030148,0.00023524415,0.00017412943,0.00050592463,0.00039674007,0.00045498725,0.002609717],"category_scores_gemma":[0.0011826757,0.0001858164,0.00034188724,0.00024353823,0.0006086476,0.00061830576,0.00082056527,0.0008421848,0.000422882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002521057,0.000072816474,0.00041885287,0.0002269675,0.00005174612,0.00010396345,0.000180723,0.5071102,0.14225376,0.12394143,0.0038660057,0.22152153],"study_design_scores_gemma":[0.000018588382,0.00003744936,0.00008484479,0.000009685057,0.0000055029805,0.000040986684,0.000010931675,0.971611,0.0112388,0.013536247,0.0033961746,0.000009750122],"about_ca_topic_score_codex":0.00074813346,"about_ca_topic_score_gemma":0.0007967633,"teacher_disagreement_score":0.002609717,"about_ca_system_score_codex":0.00036961093,"about_ca_system_score_gemma":0.0003086525,"threshold_uncertainty_score":0.0087304115},"labels":[],"label_agreement":null},{"id":"W2097944344","doi":"10.1145/1015706.1015755","title":"Style-based inverse kinematics","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":647,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Inverse kinematics; Character animation; Artificial intelligence; Motion capture; Kinematics; Context (archaeology); Animation; Trajectory; Component (thermodynamics); Computer vision; Set (abstract data type); Latent variable model; Computer animation; Process (computing); Latent variable; Motion (physics); Machine learning; Computer graphics (images); Robot","score_opus":0.021173166187307545,"score_gpt":0.2264870030326972,"score_spread":0.20531383684538965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097944344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019792812,0.000069298214,0.9937264,0.000029396937,0.000053541342,0.000034343175,0.00006243728,0.0019965293,0.0020487367],"genre_scores_gemma":[0.2663928,0.00048671963,0.7195711,0.00015214951,0.00014186642,0.00018591734,0.0006337747,0.00089533994,0.01154042],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873036,0.00017899476,0.0000724502,0.00042120312,0.000527734,0.000069113805],"domain_scores_gemma":[0.99887425,0.0001793016,0.00012903949,0.00046547325,0.00028167403,0.000070183516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090447307,0.0013607946,0.0010269622,0.00090611493,0.0005303697,0.0014785561,0.0019861204,0.0009763458,0.008616933],"category_scores_gemma":[0.0039010006,0.0008874912,0.0013690823,0.000814622,0.00093067874,0.0017886977,0.0018507201,0.0013256498,0.0057894555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037174064,0.00013262536,0.0025253943,0.00041265634,0.00012061679,0.00028528232,0.00061981095,0.1795,0.07221868,0.024398774,0.0077018044,0.71171254],"study_design_scores_gemma":[0.000043348176,0.00019992201,0.0011118177,0.000052507552,0.00004176091,0.0006676746,0.00010469457,0.92551214,0.02615821,0.022540165,0.023480022,0.0000877581],"about_ca_topic_score_codex":0.0018945109,"about_ca_topic_score_gemma":0.0018680211,"teacher_disagreement_score":0.008616933,"about_ca_system_score_codex":0.00043124676,"about_ca_system_score_gemma":0.00069493736,"threshold_uncertainty_score":0.028826475},"labels":[],"label_agreement":null},{"id":"W2098443654","doi":"10.1145/1015706.1015811","title":"Cross-parameterization and compatible remeshing of 3D models","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":325,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Morphing; Bijection; Parameterized complexity; Geometry processing; Computer science; Vertex (graph theory); Texture mapping; Algorithm; Distortion (music); Mathematics; Geometry; Artificial intelligence; Computer graphics (images); Theoretical computer science; Graph","score_opus":0.02758227988807272,"score_gpt":0.2487516751074728,"score_spread":0.2211693952194001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098443654","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010290389,0.00006161766,0.9870761,0.000034282966,0.000020159741,0.000048505135,0.000028525877,0.00063933677,0.0018010384],"genre_scores_gemma":[0.22290155,0.00015968115,0.77313745,0.00007853289,0.000018988545,0.00015952073,0.00026782675,0.00075126195,0.0025250993],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987941,0.00022727707,0.000096988006,0.0002077322,0.0006093231,0.000064440195],"domain_scores_gemma":[0.9986779,0.0002639955,0.00012482984,0.00072582526,0.00016431342,0.000043085274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087819685,0.001136988,0.0005895444,0.0009406157,0.0004071669,0.0011957564,0.001488573,0.00095353083,0.0028300136],"category_scores_gemma":[0.004433024,0.00074531947,0.001142041,0.00064206717,0.00086763373,0.0016400621,0.0033107307,0.0012377129,0.0010685974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002450697,0.00014895928,0.0023239926,0.00035404746,0.00012844695,0.00067154603,0.0011038632,0.31222087,0.18662848,0.08604208,0.004831953,0.40530074],"study_design_scores_gemma":[0.00003796162,0.00022209852,0.0009550284,0.000041370757,0.00005243577,0.0015877895,0.00023844354,0.7883443,0.15217236,0.02247383,0.033784393,0.00008994694],"about_ca_topic_score_codex":0.00072189496,"about_ca_topic_score_gemma":0.0009378855,"teacher_disagreement_score":0.0028300136,"about_ca_system_score_codex":0.0003283635,"about_ca_system_score_gemma":0.0005031703,"threshold_uncertainty_score":0.009467304},"labels":[],"label_agreement":null},{"id":"W2098535678","doi":"10.1145/1141911.1141956","title":"Removing camera shake from a single photograph","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":1842,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shake; Computer vision; Artificial intelligence; Camera auto-calibration; Computer science; Motion blur; Photography; Deconvolution; Digital camera; Blind deconvolution; Computer graphics (images); Rotation (mathematics); Image restoration; Pinhole camera model; Image (mathematics); Camera resectioning; Image processing; Physics; Algorithm; Art","score_opus":0.0171727493652327,"score_gpt":0.24398589957926964,"score_spread":0.22681315021403695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098535678","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65407425,0.0023985282,0.3214073,0.0005302866,0.0005800683,0.00028847548,0.0006554463,0.006883153,0.013182631],"genre_scores_gemma":[0.785188,0.0017591929,0.19659431,0.0003912674,0.000100106816,0.00010018618,0.0011894313,0.0012381617,0.013439292],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995208,0.000031187126,0.000021989621,0.00012792794,0.00020518847,0.00009291047],"domain_scores_gemma":[0.9984958,0.00028879152,0.00008649298,0.0007229602,0.00032166427,0.00008424059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037009097,0.0008516107,0.00113778,0.0006731767,0.0008636947,0.00096747343,0.0007283835,0.0012458189,0.0067091007],"category_scores_gemma":[0.0024678644,0.0005578096,0.0007424792,0.00063300057,0.0005833638,0.0012406849,0.0012540515,0.0012406117,0.0029257704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013759588,0.00029844986,0.0028556418,0.00097476656,0.0001805993,0.0012522052,0.0005348929,0.011006846,0.6917994,0.001361109,0.0050256085,0.2833345],"study_design_scores_gemma":[0.00011025931,0.000733695,0.030430006,0.000116672025,0.00023839826,0.0031822664,0.0004587289,0.04452578,0.89814425,0.0013840481,0.020539073,0.00013675967],"about_ca_topic_score_codex":0.0030220742,"about_ca_topic_score_gemma":0.0042374125,"teacher_disagreement_score":0.0067091007,"about_ca_system_score_codex":0.00037587513,"about_ca_system_score_gemma":0.00064669497,"threshold_uncertainty_score":0.022444189},"labels":[],"label_agreement":null},{"id":"W2099342750","doi":"10.1145/1122501.1122508","title":"Hierarchical RLE level set","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Octree; Computer science; Data structure; Set (abstract data type); Set operations; Algorithm; Ray tracing (physics); Representation (politics); Data set; Parallel computing; Theoretical computer science; Artificial intelligence","score_opus":0.0460388388688321,"score_gpt":0.2995510704602062,"score_spread":0.2535122315913741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099342750","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043921,0.00023591488,0.98096496,0.00017309931,0.00009370059,0.00009056362,0.001124486,0.0055748383,0.007350251],"genre_scores_gemma":[0.09267948,0.00029897247,0.88959956,0.00028689028,0.00004858813,0.0003462921,0.0055362526,0.001392775,0.009811244],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986386,0.00017635144,0.00014762394,0.0001441362,0.00077202613,0.000121315585],"domain_scores_gemma":[0.9986016,0.0003155628,0.000080891725,0.0005048121,0.00043736372,0.000059676546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008301004,0.0005215513,0.00082264026,0.0013266249,0.00055974856,0.0022576002,0.0028848972,0.0010348384,0.015228013],"category_scores_gemma":[0.0054094726,0.00058227225,0.0011296619,0.0013406709,0.00047323992,0.0024583978,0.002789283,0.0019250839,0.0065402286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003521019,0.00015952902,0.0022662245,0.000395337,0.00008759738,0.00027349562,0.0003893779,0.20632346,0.011506017,0.17186822,0.044481993,0.5618967],"study_design_scores_gemma":[0.0000708211,0.00009118655,0.0004989499,0.00007188343,0.000021660377,0.0002824643,0.00006755219,0.8153917,0.013153316,0.046698578,0.12356724,0.000084573374],"about_ca_topic_score_codex":0.0031391121,"about_ca_topic_score_gemma":0.0036317187,"teacher_disagreement_score":0.015228013,"about_ca_system_score_codex":0.00093034265,"about_ca_system_score_gemma":0.0013607233,"threshold_uncertainty_score":0.05094272},"labels":[],"label_agreement":null},{"id":"W2099466581","doi":"10.1145/2185520.2185556","title":"Virtual ray lights for rendering scenes with participating media","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Rendering (computer graphics); Computer science; Global illumination; Computer graphics (images); Computer vision; Monte Carlo method; Computer graphics; Artificial intelligence; Algorithm; Mathematics","score_opus":0.052580570813239844,"score_gpt":0.30344634289693423,"score_spread":0.25086577208369437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099466581","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005500249,0.000058256315,0.9915975,0.00004196309,0.000028585084,0.000028278557,0.000023939967,0.00046726214,0.0022539785],"genre_scores_gemma":[0.18062945,0.0002571907,0.81461865,0.000069442445,0.000038277085,0.00014401948,0.00009974082,0.00048324262,0.0036599722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971265,0.00007136124,0.000008346727,0.000024727588,0.00015686118,0.000026107824],"domain_scores_gemma":[0.99950397,0.00025166708,0.00003510509,0.000083721075,0.00008050601,0.00004493445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043778925,0.00083195977,0.00046486975,0.0006418998,0.000579483,0.001653662,0.0011900811,0.00066516007,0.0049420944],"category_scores_gemma":[0.0017388222,0.0005426952,0.0008342643,0.00041713894,0.0009263372,0.0012059244,0.0020992386,0.0013737378,0.00094282394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020791749,0.00010997072,0.0010243886,0.00026214344,0.000072151524,0.00033744107,0.0006755296,0.52880204,0.06602269,0.24999833,0.004297719,0.14818965],"study_design_scores_gemma":[0.00003032925,0.00003545889,0.00007983891,0.000024532792,0.0000110152405,0.0001232599,0.00006408876,0.95108193,0.015923772,0.024956843,0.007642608,0.00002642898],"about_ca_topic_score_codex":0.0011748329,"about_ca_topic_score_gemma":0.002020849,"teacher_disagreement_score":0.0049420944,"about_ca_system_score_codex":0.00054738566,"about_ca_system_score_gemma":0.0005998999,"threshold_uncertainty_score":0.016532958},"labels":[],"label_agreement":null},{"id":"W2103262115","doi":"10.1145/2185520.2185593","title":"Adaptive image-based intersection volume","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Intersection (aeronautics); Ray casting; Computation; Pixel; Projection (relational algebra); Algorithm; Computer science; Computer vision; Image resolution; Polynomial; Dimension (graph theory); Volume (thermodynamics); Image (mathematics); Artificial intelligence; Mathematics; Volume rendering; Visualization","score_opus":0.025020554333359188,"score_gpt":0.2755305178782533,"score_spread":0.2505099635448941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103262115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018177012,0.000028484083,0.99676704,0.000015364792,0.000008335613,0.0000206051,0.000031523083,0.0007712774,0.00053979957],"genre_scores_gemma":[0.11998926,0.00011674172,0.8762167,0.000041040188,0.00004195073,0.00020020123,0.00036604426,0.0007103581,0.0023176724],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982151,0.00015018973,0.00005394145,0.00022380127,0.0012546926,0.00010240917],"domain_scores_gemma":[0.99851376,0.00045752837,0.00016684743,0.00041352832,0.0003844654,0.000063834814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005718774,0.00078224146,0.0012218521,0.0017316329,0.00053511397,0.001769374,0.003354738,0.00083297904,0.0038847087],"category_scores_gemma":[0.003455843,0.0007096832,0.00095791655,0.0014076508,0.0008205207,0.001389057,0.0030043472,0.0017696704,0.0013205977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002523429,0.0001364208,0.0015438009,0.00020844323,0.000080392994,0.00016948173,0.0003671711,0.26594073,0.04447401,0.07157776,0.0057175797,0.6095319],"study_design_scores_gemma":[0.000011124146,0.000024248942,0.0001776411,0.00000821842,0.000007727401,0.00010725738,0.000015640535,0.9720016,0.015023115,0.0069387686,0.005661017,0.000023683962],"about_ca_topic_score_codex":0.002852126,"about_ca_topic_score_gemma":0.0022632903,"teacher_disagreement_score":0.0038847087,"about_ca_system_score_codex":0.0011385628,"about_ca_system_score_gemma":0.001265014,"threshold_uncertainty_score":0.012995601},"labels":[],"label_agreement":null},{"id":"W2104425538","doi":"10.1145/1778765.1778778","title":"High resolution passive facial performance capture","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":235,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Polygon mesh; Computer vision; Artificial intelligence; Texture mapping; Computer graphics (images); Face (sociological concept); Parameterized complexity; Sequence (biology); Tracking (education); Texture (cosmology); Image (mathematics); Algorithm","score_opus":0.011781202936419575,"score_gpt":0.22172843169329326,"score_spread":0.2099472287568737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104425538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044000797,0.00033506614,0.93581945,0.00020787495,0.00015278002,0.0001784208,0.00068828656,0.0016157554,0.017001547],"genre_scores_gemma":[0.45022053,0.00084467727,0.5093852,0.00047935115,0.00020411598,0.00040310094,0.0019729384,0.0006039049,0.03588611],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963176,0.000029308672,0.000009247316,0.00008310766,0.00020324936,0.000043254644],"domain_scores_gemma":[0.9997657,0.000044064353,0.0000163874,0.000082179664,0.00007160855,0.000020148944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022722376,0.00050426554,0.00039712488,0.00040296203,0.00022542794,0.0007031752,0.00094914023,0.00054345204,0.009629158],"category_scores_gemma":[0.00074729125,0.00044269656,0.00031649182,0.00022242189,0.00020387961,0.00069492246,0.0011895025,0.0005501059,0.0026559595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023838093,0.00011038764,0.0019129429,0.00019790238,0.00003355181,0.00039876354,0.00017630294,0.010243637,0.78149706,0.0049091135,0.00975072,0.1905313],"study_design_scores_gemma":[0.00012387635,0.00078210555,0.022335727,0.0001261815,0.00010776831,0.0073665204,0.00024115543,0.2953956,0.56729347,0.005741658,0.1003152,0.00017069293],"about_ca_topic_score_codex":0.0013894307,"about_ca_topic_score_gemma":0.0019637987,"teacher_disagreement_score":0.009629158,"about_ca_system_score_codex":0.00031605217,"about_ca_system_score_gemma":0.00037971095,"threshold_uncertainty_score":0.032212734},"labels":[],"label_agreement":null},{"id":"W2106723645","doi":"10.1145/1778765.1778839","title":"Learning 3D mesh segmentation and labeling","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":474,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Conditional random field; Polygon mesh; Segmentation; Benchmark (surveying); Computer science; Artificial intelligence; Consistency (knowledge bases); Function (biology); Pattern recognition (psychology); Computer graphics (images)","score_opus":0.009559818595785967,"score_gpt":0.2235811429435935,"score_spread":0.21402132434780752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106723645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009865528,0.0001879626,0.98448807,0.00018109403,0.000042715717,0.00012645921,0.0004294257,0.003731613,0.00094722526],"genre_scores_gemma":[0.1458852,0.0002586992,0.8460113,0.00033809734,0.000094719835,0.0003783399,0.0035022153,0.0010926632,0.0024388228],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99678963,0.0005002593,0.00013493405,0.0012600053,0.0010628233,0.00025229104],"domain_scores_gemma":[0.99654716,0.0015670874,0.00032952527,0.0007878552,0.00060447695,0.00016395906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019670236,0.002295271,0.002885244,0.004151504,0.0012550069,0.0022744006,0.005227416,0.0055654817,0.0039618695],"category_scores_gemma":[0.0071865204,0.0023862158,0.0032040635,0.0027352544,0.0021667907,0.0032878204,0.0036503025,0.0030288717,0.0026441377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028082225,0.00022391047,0.003138084,0.00036075112,0.00015654413,0.0002845243,0.00022733981,0.4703607,0.021258943,0.013308754,0.0171303,0.47326937],"study_design_scores_gemma":[0.000015040197,0.00003832077,0.00027635458,0.000024830082,0.00001484381,0.00010755415,0.000043264346,0.97777265,0.0048564086,0.014540563,0.0022939164,0.000016282458],"about_ca_topic_score_codex":0.0062990375,"about_ca_topic_score_gemma":0.012025103,"teacher_disagreement_score":0.0062990375,"about_ca_system_score_codex":0.0019805036,"about_ca_system_score_gemma":0.002141815,"threshold_uncertainty_score":0.014369607},"labels":[],"label_agreement":null},{"id":"W2107724014","doi":"10.1145/2421636.2421638","title":"Synthesizing waves from animated height fields","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Computer science; Computer graphics (images); Set (abstract data type); Acoustics; Artificial intelligence; Computer vision; Physics","score_opus":0.02346862558036943,"score_gpt":0.261769295223835,"score_spread":0.23830066964346558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107724014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062856324,0.00013755569,0.9118275,0.00024562774,0.00018194619,0.00022325086,0.0003720725,0.0047270777,0.01942866],"genre_scores_gemma":[0.38741413,0.00037141028,0.59834874,0.00012490187,0.000067547495,0.0002050387,0.0007743904,0.0019979288,0.01069583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998104,0.00002740209,0.000009210354,0.00002666561,0.00010295642,0.000023408762],"domain_scores_gemma":[0.9995369,0.0002791143,0.000024299954,0.00006292575,0.00006534331,0.000031538922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042000547,0.00071316166,0.00034279685,0.00079843774,0.00039210307,0.001221766,0.00086582464,0.0006523419,0.0077524846],"category_scores_gemma":[0.0017082114,0.00062811346,0.00064413546,0.0003408273,0.00059164857,0.0009034029,0.0012533589,0.0008693525,0.0009029438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003435,0.00021421844,0.001827471,0.00070585613,0.00008730673,0.0009104462,0.0018688929,0.47946575,0.20619641,0.055645004,0.0126940515,0.24004109],"study_design_scores_gemma":[0.00008376007,0.00010778858,0.00071194227,0.00006108651,0.000028574726,0.00020345632,0.00029995688,0.9137777,0.04783741,0.012786486,0.024056505,0.000045309138],"about_ca_topic_score_codex":0.0013558859,"about_ca_topic_score_gemma":0.0032140424,"teacher_disagreement_score":0.0077524846,"about_ca_system_score_codex":0.0004919497,"about_ca_system_score_gemma":0.0003332327,"threshold_uncertainty_score":0.025934637},"labels":[],"label_agreement":null},{"id":"W2109760112","doi":"10.1145/1966394.1966400","title":"On the velocity of an implicit surface","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Parametrization (atmospheric modeling); Surface (topology); Constraint (computer-aided design); Vector field; Component (thermodynamics); Motion (physics); Mathematics; Tracking (education); Computer science; Mathematical analysis; Geometry; Computer vision; Physics; Optics","score_opus":0.026996388161415738,"score_gpt":0.24639795041467835,"score_spread":0.21940156225326263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109760112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015232775,0.0006978254,0.9759982,0.00043782222,0.00020878456,0.000032538308,0.00004582523,0.00016307228,0.007183109],"genre_scores_gemma":[0.45024392,0.003567464,0.4983846,0.00048619657,0.00028734075,0.00021910208,0.00031590817,0.001089558,0.045405935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931,0.000099149904,0.000028140093,0.00007555137,0.00041473444,0.000072504285],"domain_scores_gemma":[0.9990995,0.0003241357,0.00007615301,0.000081512546,0.0003667758,0.00005198863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088248274,0.00069044146,0.00058839424,0.0013228228,0.000588261,0.00170184,0.0011082571,0.0016263764,0.0038493816],"category_scores_gemma":[0.005749399,0.00044038222,0.00048883166,0.0009533119,0.0019427938,0.0034387691,0.0018797821,0.0022056438,0.0013312941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042679592,0.000029529136,0.00051784515,0.00012343343,0.000009186307,0.00021093896,0.00040092546,0.17440243,0.016084297,0.73563915,0.0020683862,0.070471235],"study_design_scores_gemma":[0.000013236971,0.000027731294,0.00016004864,0.000047214555,0.000005367176,0.00013088428,0.00006647071,0.8776789,0.004752691,0.10146853,0.01561936,0.000029630544],"about_ca_topic_score_codex":0.004337523,"about_ca_topic_score_gemma":0.0023081352,"teacher_disagreement_score":0.004337523,"about_ca_system_score_codex":0.0011051786,"about_ca_system_score_gemma":0.0011622012,"threshold_uncertainty_score":0.012877464},"labels":[],"label_agreement":null},{"id":"W2109804663","doi":"10.1145/1015706.1015797","title":"High dynamic range display systems","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":551,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Projector; Computer science; Computer graphics (images); Workspace; Software; High dynamic range; Display device; Range (aeronautics); Liquid-crystal display; Systems design; Dynamic range; Computer vision; Artificial intelligence; Engineering; Operating system","score_opus":0.009235100929295938,"score_gpt":0.22865150118695324,"score_spread":0.2194164002576573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109804663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031770665,0.008032072,0.87669426,0.0010186087,0.0007615997,0.00043779475,0.00074919785,0.015522008,0.0650137],"genre_scores_gemma":[0.33819154,0.007309517,0.5299761,0.0022435358,0.00090939173,0.0007122027,0.0022001509,0.0016471087,0.11681044],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828595,0.00023540342,0.00008295748,0.0003482712,0.00089773606,0.00014966633],"domain_scores_gemma":[0.99838316,0.00056372257,0.000099597695,0.00034501546,0.00047867297,0.00012975019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010446262,0.0006614875,0.00080475473,0.001041569,0.0007557498,0.00279686,0.0021560662,0.0016692693,0.040102974],"category_scores_gemma":[0.002525505,0.00060505874,0.00054596836,0.0011247344,0.00039935947,0.0027960911,0.0025133863,0.0014074054,0.015750308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068099005,0.00024170664,0.0020926588,0.0014093308,0.00011814374,0.00081085454,0.00058206293,0.0041167005,0.42551932,0.02913146,0.057383433,0.47791338],"study_design_scores_gemma":[0.00024835372,0.000955911,0.004835125,0.00024884177,0.0001811999,0.0070945406,0.00027158842,0.039470885,0.29960024,0.010582009,0.6361444,0.00036693594],"about_ca_topic_score_codex":0.0004981625,"about_ca_topic_score_gemma":0.00048106216,"teacher_disagreement_score":0.040102974,"about_ca_system_score_codex":0.00044082978,"about_ca_system_score_gemma":0.00029537757,"threshold_uncertainty_score":0.13415784},"labels":[],"label_agreement":null},{"id":"W2111869537","doi":"10.1145/1618452.1618495","title":"Analytic drawing of 3D scaffolds","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Representation (politics); Set (abstract data type); Inference; Engineering drawing; Line drawings; Perspective (graphical); Computer graphics (images); Artificial intelligence; Programming language; Engineering","score_opus":0.01725504310404818,"score_gpt":0.26968829054517407,"score_spread":0.2524332474411259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111869537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014199977,0.00003900291,0.9959858,0.00003012308,0.000010007877,0.000019704581,0.00004708469,0.00064655195,0.0018016353],"genre_scores_gemma":[0.05605645,0.00023442485,0.9406521,0.000038254206,0.000021379165,0.00008769813,0.00025816876,0.0003423646,0.002309214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980147,0.00036944804,0.00009051581,0.0004107361,0.0010371747,0.0000773237],"domain_scores_gemma":[0.99693835,0.0013123496,0.00022854378,0.0008863578,0.00053268264,0.00010178466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011767021,0.0014538968,0.00079344626,0.0021062114,0.000871888,0.0037834602,0.0024917638,0.001326537,0.011712047],"category_scores_gemma":[0.0073112454,0.0009817942,0.001411287,0.0014965514,0.0016876664,0.0042938455,0.0030617001,0.0018373819,0.0027127555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014344967,0.000056100693,0.0012478388,0.0006015366,0.000084954976,0.0006286675,0.0024901286,0.106007084,0.04626225,0.4262909,0.0077836867,0.40840334],"study_design_scores_gemma":[0.000046323454,0.00012897381,0.00052013196,0.00014061875,0.00007047072,0.00090132054,0.00055443816,0.6282231,0.04222858,0.18236288,0.14470604,0.000117087344],"about_ca_topic_score_codex":0.0015778901,"about_ca_topic_score_gemma":0.0021917077,"teacher_disagreement_score":0.011712047,"about_ca_system_score_codex":0.0007383902,"about_ca_system_score_gemma":0.0011002199,"threshold_uncertainty_score":0.039180696},"labels":[],"label_agreement":null},{"id":"W2115887468","doi":"10.1145/1618452.1618514","title":"Optimizing walking controllers","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":182,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Swing; Control theory (sociology); Preferred walking speed; Computer science; Minification; Controller (irrigation); Torque; Mathematics; Simulation; Artificial intelligence; Physics; Control (management); Physical medicine and rehabilitation; Acoustics","score_opus":0.015218578228505567,"score_gpt":0.22643205316642334,"score_spread":0.21121347493791778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115887468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019044636,0.00011447871,0.9727783,0.000046928995,0.00003913783,0.000090199916,0.00005720615,0.0008167747,0.007012357],"genre_scores_gemma":[0.5563088,0.00018966416,0.43520272,0.00012417465,0.00003357975,0.00042956547,0.00024623374,0.00049459236,0.006970671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970704,0.00004821991,0.000016307195,0.00007350541,0.00012515049,0.000029765448],"domain_scores_gemma":[0.99969244,0.000115511575,0.000042821495,0.000047062065,0.00008908379,0.000013063318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000423153,0.0010456657,0.00059864507,0.0005411454,0.00039799904,0.00071483926,0.0007274699,0.0006348281,0.004037878],"category_scores_gemma":[0.0014167211,0.00044705928,0.00039681513,0.00023790097,0.0003293671,0.00055292615,0.00062385906,0.00062700134,0.0008098234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007902786,0.00007489132,0.00066896994,0.00014665807,0.000041649604,0.00006352496,0.00008935145,0.83656394,0.019914648,0.007846987,0.0018579307,0.13265246],"study_design_scores_gemma":[0.000022054834,0.00006966097,0.0002517741,0.000010645165,0.000012677183,0.000030300971,0.000018308563,0.9905847,0.003278736,0.0028755686,0.0028349517,0.000010571616],"about_ca_topic_score_codex":0.001434667,"about_ca_topic_score_gemma":0.002397886,"teacher_disagreement_score":0.004037878,"about_ca_system_score_codex":0.0003945916,"about_ca_system_score_gemma":0.0006165795,"threshold_uncertainty_score":0.013508081},"labels":[],"label_agreement":null},{"id":"W2117843877","doi":"10.1145/2601097.2601144","title":"A compressive light field projection system","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Information and Intelligent Systems; Natural Sciences and Engineering Research Council of Canada","keywords":"Projector; Projection (relational algebra); Light field; Computer science; Computer graphics (images); Field (mathematics); Compressed sensing; Structured light; Computer vision; Computational photography; Optics; Artificial intelligence; Physics; Image processing; Image (mathematics); Algorithm; Mathematics","score_opus":0.009092405088613064,"score_gpt":0.22146124671292025,"score_spread":0.2123688416243072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117843877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056404807,0.00029865495,0.9211183,0.0005294566,0.00013558722,0.000258166,0.00031265328,0.0031958239,0.017746614],"genre_scores_gemma":[0.52572674,0.00039388685,0.45465735,0.00041658682,0.0001103622,0.00031647342,0.0004592942,0.0001512337,0.017768133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959284,0.00007923515,0.000016724029,0.00009297345,0.00018313924,0.00003515519],"domain_scores_gemma":[0.9997105,0.00007320805,0.00002365989,0.000058582144,0.000091367845,0.000042594504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030454245,0.00057117577,0.0004618233,0.00025466504,0.0005048992,0.0009036375,0.00070229324,0.0005380433,0.00825811],"category_scores_gemma":[0.00074335036,0.00026488863,0.00031597327,0.0002815856,0.00056218344,0.0010941728,0.0018725102,0.00067149574,0.0016964475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010992957,0.00025077665,0.0017859932,0.00029943878,0.000069498965,0.000663788,0.0004207508,0.048234284,0.50806165,0.046792332,0.014381332,0.37794092],"study_design_scores_gemma":[0.00020026961,0.00076877634,0.001155076,0.00005628564,0.00004480183,0.0010930726,0.000112601934,0.79127884,0.15887715,0.010109327,0.036170263,0.00013358222],"about_ca_topic_score_codex":0.0012964556,"about_ca_topic_score_gemma":0.0009885983,"teacher_disagreement_score":0.00825811,"about_ca_system_score_codex":0.00036620675,"about_ca_system_score_gemma":0.00071964646,"threshold_uncertainty_score":0.027626097},"labels":[],"label_agreement":null},{"id":"W2118825465","doi":"10.1145/1618452.1618454","title":"Feature-aligned shape texturing","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Division of Computing and Communication Foundations; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Microsoft Research","keywords":"Salient; Feature (linguistics); Texture synthesis; Texture (cosmology); Artificial intelligence; Computer science; Surface (topology); Computer vision; Field (mathematics); Matching (statistics); Pattern recognition (psychology); Texture compression; Feature vector; Image texture; Geometry; Mathematics; Image (mathematics); Image processing; Pure mathematics","score_opus":0.02112133563480027,"score_gpt":0.2834599066422726,"score_spread":0.2623385710074723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118825465","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050112847,0.0001723662,0.9408275,0.00008667745,0.00007660245,0.00006186216,0.00009711053,0.0015444236,0.007020573],"genre_scores_gemma":[0.6045341,0.00021221211,0.38817418,0.00010614841,0.00004550472,0.00008013282,0.00021730196,0.00078718143,0.0058432645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997756,0.000023304105,0.00000992835,0.000052220355,0.00011049937,0.000028524426],"domain_scores_gemma":[0.99951696,0.00013420063,0.000057441008,0.00016470163,0.000099262885,0.000027494443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024462922,0.00050073164,0.00038879094,0.0005963884,0.0002571773,0.0007589409,0.0005727982,0.00038993955,0.003400361],"category_scores_gemma":[0.001121138,0.0003019978,0.00037789415,0.00042060652,0.00050315715,0.0009020387,0.00066372484,0.0005846215,0.00084880757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023884138,0.000064945896,0.00072515395,0.0002293575,0.000027876253,0.00024113443,0.00024299692,0.094240256,0.55603653,0.042736392,0.004031408,0.3011851],"study_design_scores_gemma":[0.00007093754,0.000257106,0.0012924452,0.000029389852,0.0000238332,0.0005350501,0.000114129216,0.6290829,0.31386116,0.028016936,0.026648719,0.00006737125],"about_ca_topic_score_codex":0.0003384271,"about_ca_topic_score_gemma":0.0005038617,"teacher_disagreement_score":0.003400361,"about_ca_system_score_codex":0.00033332358,"about_ca_system_score_gemma":0.00028068878,"threshold_uncertainty_score":0.011375308},"labels":[],"label_agreement":null},{"id":"W2118895016","doi":"10.1145/2601097.2601169","title":"Vector graphics complexes","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Networks of Centres of Excellence of Canada; European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graphics; Stacking; Topology (electrical circuits); Computer graphics; Vector graphics; Representation (politics); Computer graphics (images); Theoretical computer science; Mathematics; Combinatorics","score_opus":0.02763147355117554,"score_gpt":0.2851638122660221,"score_spread":0.2575323387148466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118895016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039403127,0.0008589371,0.90348774,0.00060701935,0.0010849064,0.00029168162,0.003119722,0.013500934,0.07310876],"genre_scores_gemma":[0.15032847,0.0018575061,0.74369514,0.0009341802,0.00061700505,0.0011881453,0.010534086,0.0090887435,0.0817567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997877,0.00032987818,0.00020335613,0.00042306955,0.000990346,0.00017637904],"domain_scores_gemma":[0.99834025,0.00036435822,0.00011167792,0.00048168568,0.00049688877,0.00020514734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094732025,0.0018845003,0.0013205393,0.0025012065,0.0013792017,0.008684224,0.0031575717,0.0017127099,0.09434422],"category_scores_gemma":[0.006503983,0.0009179478,0.0011917204,0.00230435,0.0016252007,0.006726324,0.0045590973,0.003159354,0.027591858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014521935,0.000035074278,0.0003082135,0.00030237867,0.000025708436,0.00018065878,0.00046409163,0.0074156015,0.006218965,0.70289034,0.09042101,0.19159274],"study_design_scores_gemma":[0.000068074594,0.00004837636,0.00016190867,0.000080181264,0.000015127939,0.00043120835,0.00013899684,0.035651796,0.006426034,0.24440719,0.7125101,0.00006106195],"about_ca_topic_score_codex":0.0012263311,"about_ca_topic_score_gemma":0.0012001491,"teacher_disagreement_score":0.09434422,"about_ca_system_score_codex":0.0016580557,"about_ca_system_score_gemma":0.0010515111,"threshold_uncertainty_score":0.3156129},"labels":[],"label_agreement":null},{"id":"W2119967924","doi":"10.1145/2461912.2461914","title":"Compressive light field photography using overcomplete dictionaries and optimized projections","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":400,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Alfred P. Sloan Foundation","keywords":"Light field; Computer vision; Computer science; Computational photography; Artificial intelligence; Field (mathematics); Photography; Projection (relational algebra); Compressed sensing; Optics; Computer graphics (images); Image processing; Image (mathematics); Physics; Algorithm; Mathematics","score_opus":0.02300014595383443,"score_gpt":0.27032481350654447,"score_spread":0.24732466755271004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119967924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013714733,0.00019876167,0.98406756,0.00018450296,0.000026270378,0.000027740196,0.00009826766,0.00025005444,0.0014321551],"genre_scores_gemma":[0.21761373,0.00087633193,0.77552545,0.00018777353,0.00013172544,0.00011044934,0.0006995364,0.00011105942,0.004743952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967957,0.00008930594,0.000014777255,0.000059981874,0.0001289112,0.000027498158],"domain_scores_gemma":[0.9994004,0.0002553382,0.00008102007,0.00013335003,0.000097901815,0.000032004402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041493014,0.00071440305,0.0006302804,0.0005601029,0.0002093329,0.000801096,0.00061805034,0.00071026245,0.001930327],"category_scores_gemma":[0.0014609555,0.00043305298,0.00050180027,0.00070070545,0.0007198855,0.0014118704,0.0010199333,0.0011807003,0.0007721135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050988887,0.00013042864,0.0009807098,0.00031908398,0.000112173264,0.0002917006,0.00028835304,0.44857824,0.10074519,0.07558605,0.007540709,0.36491746],"study_design_scores_gemma":[0.000023212944,0.00005779633,0.00024155107,0.000014331623,0.000009884213,0.00010907088,0.00002504552,0.975138,0.011578866,0.010362456,0.0024228534,0.000016923068],"about_ca_topic_score_codex":0.0018946276,"about_ca_topic_score_gemma":0.0028740515,"teacher_disagreement_score":0.001930327,"about_ca_system_score_codex":0.00034309403,"about_ca_system_score_gemma":0.0006790209,"threshold_uncertainty_score":0.006457567},"labels":[],"label_agreement":null},{"id":"W2122796335","doi":"10.1145/2461912.2461952","title":"Image-based reconstruction and synthesis of dense foliage","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Point cloud; Computer science; Computation; Tree (set theory); Artificial intelligence; Scale (ratio); 3D reconstruction; Point (geometry); Computer vision; Set (abstract data type); Algorithm; Pattern recognition (psychology); Geometry; Mathematics","score_opus":0.008756543261699707,"score_gpt":0.2092817843482923,"score_spread":0.20052524108659261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122796335","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085572176,0.000092704075,0.911416,0.000044114902,0.000019455993,0.00003804974,0.00024100248,0.0011747141,0.0014018972],"genre_scores_gemma":[0.4029553,0.00016134053,0.59471446,0.000037521615,0.000016335145,0.000040094284,0.0007358313,0.00023860052,0.0011005071],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998338,0.000015033769,0.000007448248,0.000045971756,0.0000788667,0.000018866502],"domain_scores_gemma":[0.999767,0.00006780805,0.000021066398,0.000065758366,0.000054808203,0.000023478573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023027585,0.0004509204,0.0004885368,0.00079688744,0.00017266061,0.0005960768,0.0004223458,0.00048660714,0.0011986712],"category_scores_gemma":[0.0005402873,0.00042121657,0.0005768275,0.0004863785,0.00028196067,0.00047425446,0.00051328674,0.00054720195,0.00046321453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013098381,0.000081619524,0.003562211,0.00020281541,0.00008455757,0.00039176733,0.00035106414,0.28081945,0.4605373,0.0054244264,0.0018256694,0.24658814],"study_design_scores_gemma":[0.000013741737,0.00005978881,0.00326668,0.000012420321,0.000017594211,0.0002940992,0.0000694944,0.93949765,0.052066404,0.0022436057,0.002436426,0.000022033179],"about_ca_topic_score_codex":0.0017784084,"about_ca_topic_score_gemma":0.003842259,"teacher_disagreement_score":0.0017784084,"about_ca_system_score_codex":0.00032712365,"about_ca_system_score_gemma":0.0003575856,"threshold_uncertainty_score":0.004009962},"labels":[],"label_agreement":null},{"id":"W2123236823","doi":"10.1145/1073204.1073314","title":"Learning physics-based motion style with nonlinear inverse optimization","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":335,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Representation (politics); Motion (physics); Nonlinear system; Computer science; Inverse; Stiffness; Motion capture; Inverse problem; Artificial intelligence; Algorithm; Computer vision; Mathematics; Physics; Mathematical analysis; Geometry","score_opus":0.01269377695952608,"score_gpt":0.21099130100158292,"score_spread":0.19829752404205683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123236823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026595812,0.00009410402,0.97178763,0.000107883585,0.00002561568,0.00003642768,0.000056778863,0.00048357726,0.0008122508],"genre_scores_gemma":[0.56271124,0.00030139543,0.43124655,0.00022528213,0.00010236748,0.0002193974,0.0006246044,0.0002858442,0.004283265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969816,0.00007725774,0.000015190249,0.000119812146,0.00006613324,0.000023495344],"domain_scores_gemma":[0.9994949,0.00020109313,0.00009306209,0.000101499725,0.00007265663,0.00003673935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064556155,0.0007554485,0.0007126487,0.0008551515,0.00024125211,0.00066856056,0.0009190864,0.0008541926,0.001268115],"category_scores_gemma":[0.002868364,0.0007022306,0.00091893575,0.0005547836,0.00053200487,0.0011377578,0.000797722,0.0010553739,0.00041681962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011838386,0.00013244728,0.002190696,0.00007371352,0.00009140923,0.000056311033,0.0001263281,0.68918175,0.010557776,0.007704786,0.0023179597,0.28744844],"study_design_scores_gemma":[0.0000051771563,0.00001757235,0.00020925964,0.0000025687018,0.000003021174,0.000011822848,0.0000045440215,0.9958417,0.0004142772,0.0031984863,0.00028682244,0.000004677612],"about_ca_topic_score_codex":0.0021585412,"about_ca_topic_score_gemma":0.0034362583,"teacher_disagreement_score":0.0021585412,"about_ca_system_score_codex":0.0005237949,"about_ca_system_score_gemma":0.0004973808,"threshold_uncertainty_score":0.004291892},"labels":[],"label_agreement":null},{"id":"W2126195192","doi":"10.1145/1073204.1073298","title":"Animating sand as a fluid","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":637,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Advection; Grid; Scaling; Computer science; Fluid simulation; Boundary (topology); Grid cell; Representation (politics); Surface (topology); Geology; Computational science; Computer graphics (images); Mechanics; Geometry; Physics; Mathematics","score_opus":0.023478353345874284,"score_gpt":0.2979556691590063,"score_spread":0.274477315813132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126195192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03557696,0.00016425716,0.95219475,0.00023652894,0.00014803228,0.000108843735,0.00018881433,0.0022820544,0.009099862],"genre_scores_gemma":[0.34070733,0.0005335585,0.6467895,0.00012275895,0.000055414755,0.00017983411,0.00037272213,0.000641429,0.010597466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998461,0.000024464498,0.0000067682345,0.000031831492,0.00007269346,0.000018068155],"domain_scores_gemma":[0.9997874,0.000085323256,0.000015883508,0.00004246288,0.00003379404,0.000035124664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880888,0.00053861184,0.00051277963,0.0006104992,0.00066466833,0.0012268575,0.00095575425,0.00094777794,0.0046688463],"category_scores_gemma":[0.0007671922,0.00042301748,0.0007936153,0.00040801355,0.00065994915,0.0010144927,0.0016005168,0.00088115054,0.0006869952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017640137,0.00010951359,0.001799111,0.00026742584,0.00012306393,0.0009145968,0.00082535454,0.6880554,0.11383553,0.07319536,0.006333052,0.11436525],"study_design_scores_gemma":[0.000016752052,0.000021208614,0.00014793317,0.000014245092,0.000016364258,0.00012599066,0.000039961633,0.96679384,0.011294866,0.006971534,0.014538276,0.000019094641],"about_ca_topic_score_codex":0.00394772,"about_ca_topic_score_gemma":0.0060743806,"teacher_disagreement_score":0.0046688463,"about_ca_system_score_codex":0.00049500435,"about_ca_system_score_gemma":0.00068347726,"threshold_uncertainty_score":0.015618801},"labels":[],"label_agreement":null},{"id":"W2127586673","doi":"10.1145/1015706.1015740","title":"Motion doodles","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":218,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sketch; Computer science; Motion (physics); Character (mathematics); Set (abstract data type); Process (computing); Cursive; Character animation; Parameterized complexity; Sequence (biology); Computer graphics (images); Parsing; Motion capture; Artificial intelligence; Animation; Computer vision; Programming language; Computer animation; Algorithm; Mathematics; Geometry","score_opus":0.017766863896431714,"score_gpt":0.2208184657511479,"score_spread":0.2030516018547162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127586673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01677028,0.0012709264,0.908939,0.0006076079,0.00090582017,0.0005552637,0.0022311616,0.02034975,0.048370156],"genre_scores_gemma":[0.22878176,0.0023331144,0.6260813,0.00082232524,0.000271434,0.0012499909,0.0065027713,0.005622728,0.12833467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995573,0.000059451264,0.00003740519,0.0001440105,0.0001549187,0.00004687288],"domain_scores_gemma":[0.99937004,0.00018697807,0.000036701145,0.00019792034,0.000093564806,0.00011481174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145604,0.0009890189,0.0005716989,0.0006894932,0.0006826054,0.0012724573,0.0015660505,0.00087748875,0.06613886],"category_scores_gemma":[0.0025757146,0.00048376236,0.00050986145,0.0003411023,0.0005411253,0.0020179516,0.0028099555,0.00092827744,0.009702972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013043705,0.00019714283,0.0018628092,0.0016340183,0.00007109356,0.00061291765,0.0014462712,0.0074183727,0.06906334,0.07331254,0.0811703,0.7619069],"study_design_scores_gemma":[0.00021224533,0.0002992896,0.0013184941,0.00020902332,0.000043142998,0.0009889088,0.00023175949,0.040539905,0.031231679,0.0139235435,0.91091055,0.00009140483],"about_ca_topic_score_codex":0.00074988045,"about_ca_topic_score_gemma":0.0014346616,"teacher_disagreement_score":0.06613886,"about_ca_system_score_codex":0.00034635264,"about_ca_system_score_gemma":0.0003834208,"threshold_uncertainty_score":0.22125655},"labels":[],"label_agreement":null},{"id":"W2132946808","doi":"10.1145/2461912.2462018","title":"Embedded thin shells for wrinkle simulation","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Autodesk","keywords":"Wrinkle; Discretization; Surface (topology); Computer science; Deformation (meteorology); Finite element method; Quadratic equation; Matching (statistics); Resolution (logic); Materials science; Geometry; Artificial intelligence; Structural engineering; Mathematics; Mathematical analysis; Engineering; Composite material","score_opus":0.018532566907824687,"score_gpt":0.24922170560175402,"score_spread":0.23068913869392935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132946808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03410333,0.00014580095,0.95365363,0.00012418689,0.00006877993,0.00006990551,0.00018287625,0.0012894289,0.010361984],"genre_scores_gemma":[0.53122044,0.00034360218,0.45639786,0.0001258744,0.00004013316,0.00042948144,0.00036759485,0.0010750628,0.009999946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99977666,0.00006225296,0.000010779004,0.000024392002,0.00010338291,0.000022642047],"domain_scores_gemma":[0.999582,0.00018157971,0.000043737346,0.00007975253,0.00006937371,0.00004360133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029940417,0.0006625556,0.0005844463,0.0004695741,0.00038329125,0.0007497661,0.0012137365,0.0012037789,0.0036655036],"category_scores_gemma":[0.0017181835,0.00057407306,0.00067725003,0.00034607638,0.00068423396,0.00083471206,0.0012660783,0.0011302899,0.0008933737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023856244,0.000023984312,0.00017828208,0.00003807076,0.0000147220535,0.00006543001,0.000046412842,0.9718393,0.008303072,0.014701493,0.00037570338,0.0043896874],"study_design_scores_gemma":[0.000005296879,0.0000036406757,0.000020060184,0.0000025236313,9.91527e-7,0.000007340227,0.0000033145188,0.9965641,0.0006418011,0.0021643534,0.0005833798,0.0000031700256],"about_ca_topic_score_codex":0.0031395943,"about_ca_topic_score_gemma":0.001948737,"teacher_disagreement_score":0.0036655036,"about_ca_system_score_codex":0.0004621278,"about_ca_system_score_gemma":0.00067214685,"threshold_uncertainty_score":0.012262344},"labels":[],"label_agreement":null},{"id":"W2133280623","doi":"10.1145/1409060.1409064","title":"Non-homogeneous resizing of complex models","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Grid; Resizing; Scaling; Distortion (music); Deformation (meteorology); Object (grammar); Manifold (fluid mechanics); Artificial intelligence; Computer vision; Geometry; Mathematics","score_opus":0.07398177752468756,"score_gpt":0.29429151645134527,"score_spread":0.22030973892665773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133280623","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09435748,0.00015800314,0.89968616,0.00011749032,0.00004346483,0.00006831499,0.00008916244,0.0019926864,0.003487259],"genre_scores_gemma":[0.6728212,0.00038213364,0.31947738,0.00012701469,0.000048779566,0.000069433365,0.000367429,0.0010631611,0.005643445],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968123,0.000048515623,0.000018176053,0.00008227363,0.00013055393,0.000039151284],"domain_scores_gemma":[0.9992545,0.00014531509,0.00008487455,0.00042709423,0.000060608414,0.000027433174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035463594,0.0009185152,0.00046119464,0.000602398,0.00030156624,0.0007195614,0.0006010048,0.00047962146,0.0026184304],"category_scores_gemma":[0.0014584132,0.0004109355,0.0008141758,0.00036546928,0.0008512545,0.0010248598,0.0012577514,0.0005612626,0.0008143178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030267463,0.00007425592,0.0017939473,0.00023645611,0.000104202685,0.0008555183,0.0007305315,0.33271447,0.40926835,0.027111111,0.0038503336,0.22295816],"study_design_scores_gemma":[0.000020220516,0.00020337277,0.0028639054,0.00002298189,0.000056518653,0.0010464606,0.00021112502,0.74326897,0.22162887,0.013577639,0.017041853,0.000058130907],"about_ca_topic_score_codex":0.0010997782,"about_ca_topic_score_gemma":0.0013962374,"teacher_disagreement_score":0.0026184304,"about_ca_system_score_codex":0.00028490095,"about_ca_system_score_gemma":0.00028548608,"threshold_uncertainty_score":0.008759499},"labels":[],"label_agreement":null},{"id":"W2135381699","doi":"10.1145/2601097.2601146","title":"Multimaterial mesh-based surface tracking","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Division of Information and Intelligent Systems; Natural Sciences and Engineering Research Council of Canada; United States-Israel Binational Science Foundation; Intel Corporation; Autodesk; Nvidia; Division of Civil, Mechanical and Manufacturing Innovation; Walt Disney Company","keywords":"Polygon mesh; Robustness (evolution); Computer science; Vertex (graph theory); Triangle mesh; Animation; Topology (electrical circuits); Manifold (fluid mechanics); Surface (topology); Computer animation; T-vertices; Mesh generation; Computational science; Computer graphics (images); Geometry; Theoretical computer science; Mathematics; Graph; Engineering; Finite element method; Mechanical engineering; Combinatorics; Structural engineering","score_opus":0.027997526766780478,"score_gpt":0.2898509280504468,"score_spread":0.26185340128366635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135381699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009208533,0.00007267081,0.98851913,0.000045282348,0.000038976006,0.000022529139,0.000025746216,0.00041868005,0.0016484848],"genre_scores_gemma":[0.27068496,0.00019141052,0.7245586,0.00006845982,0.000022403687,0.0000867671,0.00018052473,0.00031976824,0.0038872024],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999554,0.000060513015,0.000020028516,0.00007949022,0.00024746178,0.000038439917],"domain_scores_gemma":[0.9992242,0.00021388926,0.00009782073,0.00024230727,0.00017944656,0.00004247864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043219497,0.00043295228,0.00042662982,0.001101344,0.00046104428,0.0010848286,0.0015078634,0.0012344321,0.002995606],"category_scores_gemma":[0.0021872919,0.0003271433,0.0006182206,0.0008930299,0.0005713081,0.0014391929,0.0016747693,0.0008539521,0.0009227954],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023004448,0.000088481036,0.0028503705,0.00020891923,0.0000577307,0.00028315064,0.00049848185,0.37369058,0.15045732,0.053736,0.0029034344,0.41499552],"study_design_scores_gemma":[0.0000052683035,0.000025802505,0.00018133903,0.000007960463,0.000004973755,0.00008321147,0.000024086432,0.96951866,0.02218367,0.004124774,0.0038267002,0.000013526735],"about_ca_topic_score_codex":0.0014221078,"about_ca_topic_score_gemma":0.0013821311,"teacher_disagreement_score":0.002995606,"about_ca_system_score_codex":0.0006698428,"about_ca_system_score_gemma":0.0005839496,"threshold_uncertainty_score":0.010021329},"labels":[],"label_agreement":null},{"id":"W2139122753","doi":"10.1145/1805964.1805966","title":"Coded aperture projection","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Projector; Computer vision; Computer science; Artificial intelligence; Depth of field; Computer graphics (images); Coding (social sciences); Projection (relational algebra); Mathematics; Algorithm","score_opus":0.011327373398500658,"score_gpt":0.23848929414919665,"score_spread":0.227161920750696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139122753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023824116,0.00045677822,0.9389494,0.00018815276,0.00023066325,0.00014201568,0.0003863554,0.0026437268,0.033178646],"genre_scores_gemma":[0.22507429,0.0007872029,0.7337627,0.00015107881,0.00006138187,0.0001676277,0.0006567107,0.00044909283,0.038889978],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968374,0.000026660324,0.00001273487,0.00005074534,0.00019232577,0.000033775133],"domain_scores_gemma":[0.9994941,0.000098094184,0.000028441056,0.00015749037,0.00017277876,0.000049125523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017583056,0.0006169425,0.00038684742,0.00048513178,0.00031936524,0.0013414328,0.0005634779,0.0006182053,0.014679952],"category_scores_gemma":[0.00087886356,0.00028982243,0.0003345952,0.0004501407,0.00048309972,0.00071590143,0.0010726189,0.0007523237,0.003190602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005073842,0.00009629437,0.0006118456,0.0003825436,0.000042220945,0.0003618121,0.00022764406,0.011184209,0.4427258,0.070020996,0.016525434,0.45731393],"study_design_scores_gemma":[0.00014626395,0.00041659825,0.001875539,0.00010689679,0.000036114554,0.0027613041,0.00013444839,0.22000545,0.58509356,0.020221146,0.16906705,0.00013565352],"about_ca_topic_score_codex":0.00086457527,"about_ca_topic_score_gemma":0.0011473021,"teacher_disagreement_score":0.014679952,"about_ca_system_score_codex":0.0004473295,"about_ca_system_score_gemma":0.00048009286,"threshold_uncertainty_score":0.04910928},"labels":[],"label_agreement":null},{"id":"W2139760425","doi":"10.1145/1141911.1141969","title":"Interaction capture and synthesis","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Motion capture; Computer science; Animation; Perturbation (astronomy); Contact force; Computer animation; Simulation; Motion (physics); Computer vision; Computer graphics (images); Classical mechanics; Physics","score_opus":0.011053695682455388,"score_gpt":0.20856738226060567,"score_spread":0.19751368657815027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139760425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003557458,0.000107421525,0.98581195,0.000049323055,0.00007469973,0.00012689341,0.00018012588,0.0011421007,0.008950066],"genre_scores_gemma":[0.20286709,0.0003597125,0.7762152,0.00015512024,0.000059907044,0.0008946547,0.00091690914,0.0007990101,0.017732436],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992729,0.00007657876,0.000038357706,0.00016243698,0.0003737116,0.00007600725],"domain_scores_gemma":[0.9995043,0.00013484783,0.000034995865,0.00017866207,0.000119502176,0.000027645598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052972254,0.0009227694,0.0007158318,0.00063983444,0.0005349985,0.00135129,0.0011181543,0.0009941908,0.011956963],"category_scores_gemma":[0.001527248,0.0005626396,0.00073797547,0.0004359155,0.00058703497,0.0009089997,0.0018186207,0.0010406416,0.0028032747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002358456,0.00013291059,0.00074270874,0.0006501797,0.00007164357,0.00049263693,0.0005205174,0.3196791,0.18164742,0.09699761,0.01190274,0.38692662],"study_design_scores_gemma":[0.000048530117,0.00014463402,0.00051675393,0.00005755246,0.000028273238,0.00034198537,0.00008872646,0.83709604,0.054729767,0.021516101,0.08537211,0.000059467777],"about_ca_topic_score_codex":0.0012510123,"about_ca_topic_score_gemma":0.001286695,"teacher_disagreement_score":0.011956963,"about_ca_system_score_codex":0.0005242195,"about_ca_system_score_gemma":0.00076256925,"threshold_uncertainty_score":0.04000002},"labels":[],"label_agreement":null},{"id":"W2140190473","doi":"10.1145/2508363.2508399","title":"Flexible muscle-based locomotion for bipedal creatures","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":259,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Networks of Centres of Excellence of Canada; Seventh Framework Programme; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Creatures; Computer science; Terrain; Bipedalism; Control theory (sociology); Torque; Control (management); Control engineering; Simulation; Artificial intelligence; Engineering; Biology; Anatomy; Physics; Ecology","score_opus":0.022164900891913357,"score_gpt":0.2369151506006117,"score_spread":0.21475024970869833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140190473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03585897,0.00012321192,0.9602264,0.000057275367,0.000030472638,0.000034964916,0.000030140834,0.0004950796,0.0031435417],"genre_scores_gemma":[0.7252954,0.00016483992,0.27121064,0.00006246422,0.00001738081,0.0001379875,0.000063851614,0.00014732128,0.0029001175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999274,0.000013642791,0.0000049418263,0.000017626953,0.000029563684,0.0000068176264],"domain_scores_gemma":[0.99989367,0.000025325715,0.000020896476,0.00002384769,0.000022382243,0.000013848949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017506069,0.0003347863,0.00022370733,0.00023637527,0.0002623721,0.00029065867,0.00050805457,0.0003628702,0.0013643008],"category_scores_gemma":[0.00043306552,0.00018921212,0.0002346355,0.000119979406,0.00043312396,0.00024942152,0.00045962323,0.00027627614,0.00026185455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004646692,0.000041315965,0.0004537697,0.00012778128,0.00004341184,0.0001324611,0.00012666109,0.69853383,0.20368241,0.013655742,0.0007432098,0.08241301],"study_design_scores_gemma":[0.000014630848,0.000058152866,0.00022296481,0.000010753372,0.00000808777,0.000048780148,0.000010802071,0.9835724,0.009781721,0.0037415312,0.0025182848,0.000011860407],"about_ca_topic_score_codex":0.0009799373,"about_ca_topic_score_gemma":0.0014204078,"teacher_disagreement_score":0.0013643008,"about_ca_system_score_codex":0.00021601614,"about_ca_system_score_gemma":0.00026061546,"threshold_uncertainty_score":0.0045639873},"labels":[],"label_agreement":null},{"id":"W2143391107","doi":"10.1145/588272.588280","title":"Continuous contact simulation for smooth surfaces","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Piecewise; Parametric surface; Computer science; Constraint (computer-aided design); Animation; Parametric statistics; Subdivision surface; Parametric equation; Subdivision; Computer animation; Coordinate system; Algorithm; Mathematical optimization; Mathematics; Computer graphics (images); Geometry; Mathematical analysis; Computer vision; Engineering; Polygon mesh","score_opus":0.025644238701295997,"score_gpt":0.2561881234331932,"score_spread":0.2305438847318972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143391107","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41245377,0.00015211626,0.5760126,0.00017918531,0.000036841182,0.000078349716,0.0001403779,0.0013499862,0.0095967585],"genre_scores_gemma":[0.9543905,0.00008375966,0.042681944,0.000017760074,0.0000075157795,0.00007183082,0.000105078696,0.00013160077,0.0025100813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968827,0.00006626858,0.000010041574,0.000030606778,0.00016758798,0.00003731765],"domain_scores_gemma":[0.9994406,0.0002732507,0.00003437012,0.00011419694,0.00009193536,0.00004564566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000326381,0.00030845156,0.00052658096,0.00050231995,0.0004018672,0.00097561674,0.0008617214,0.00090210536,0.0037108988],"category_scores_gemma":[0.0021923503,0.00030877755,0.00038724995,0.00034908898,0.0009840473,0.00075154804,0.0012294907,0.00058764603,0.00046752786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008213647,0.000037053167,0.00066118984,0.000029422037,0.000011654294,0.00017109014,0.00025776276,0.9625062,0.0111066,0.0134375,0.00033534184,0.011364061],"study_design_scores_gemma":[0.000009045986,0.00001776777,0.00008170486,0.0000017130537,0.0000013789726,0.000014921108,0.000013962344,0.9963477,0.0012928153,0.0016871816,0.0005285704,0.0000032967869],"about_ca_topic_score_codex":0.0034089163,"about_ca_topic_score_gemma":0.001623688,"teacher_disagreement_score":0.0037108988,"about_ca_system_score_codex":0.00055740273,"about_ca_system_score_gemma":0.00049157214,"threshold_uncertainty_score":0.012414157},"labels":[],"label_agreement":null},{"id":"W2147600846","doi":"10.1145/343002.343006","title":"Shadow volume reconstruction from depth maps","year":2000,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Rendering (computer graphics); Computer science; Computer graphics (images); Computer vision; Shadow mapping; Shadow (psychology); Artificial intelligence; Volume rendering; Polygon (computer graphics); Texture mapping; Volume (thermodynamics); Graphics; Computer graphics; Frame (networking)","score_opus":0.019942638635166335,"score_gpt":0.25711477909531805,"score_spread":0.23717214046015173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147600846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02880589,0.00014552115,0.96105874,0.000081591905,0.000067437235,0.00007880461,0.0003358566,0.0034064832,0.0060195276],"genre_scores_gemma":[0.42070016,0.00045935105,0.56987786,0.00006879284,0.00004749253,0.00011142225,0.0011008461,0.001277834,0.006356288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965227,0.000023584715,0.00000978651,0.000033904642,0.00022799772,0.000052524658],"domain_scores_gemma":[0.999647,0.00008172616,0.000023628421,0.00010347001,0.00011402093,0.000030083731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021469564,0.0006808012,0.0005782813,0.0007454956,0.0002585987,0.0012787196,0.00071804726,0.0004264997,0.0057858583],"category_scores_gemma":[0.001260047,0.00053148967,0.00062028336,0.00054690766,0.0003266699,0.00073039474,0.0013866428,0.0009224952,0.0013426943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005731124,0.00013505064,0.0023752926,0.00032336506,0.00006478978,0.00054162316,0.00065499695,0.2691826,0.16744156,0.034888595,0.013371883,0.5104471],"study_design_scores_gemma":[0.000045200297,0.000077350014,0.0011643128,0.000023494194,0.000012942867,0.00036732884,0.00011257066,0.89807916,0.07761433,0.008392983,0.014068678,0.0000416829],"about_ca_topic_score_codex":0.002611784,"about_ca_topic_score_gemma":0.0025843545,"teacher_disagreement_score":0.0057858583,"about_ca_system_score_codex":0.00042859052,"about_ca_system_score_gemma":0.0008024528,"threshold_uncertainty_score":0.019355595},"labels":[],"label_agreement":null},{"id":"W2148852797","doi":"10.1145/2185520.2185592","title":"Efficient geometrically exact continuous collision detection","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collision detection; Computer science; Solver; Rounding; Algorithm; Collision; Curvature; Nonlinear system; Degenerate energy levels; Mathematics; Geometry; Physics","score_opus":0.018383710757754784,"score_gpt":0.24996401306419552,"score_spread":0.23158030230644075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148852797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05517216,0.000061505954,0.9390229,0.00006411932,0.00003300507,0.000049966045,0.000069363974,0.0016976591,0.0038293463],"genre_scores_gemma":[0.6365059,0.00007309067,0.3609991,0.000052664967,0.000011702439,0.000059438447,0.00019822075,0.00041313778,0.0016867035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895704,0.00014610699,0.00004653074,0.000111207475,0.00062930427,0.00010985717],"domain_scores_gemma":[0.9982773,0.00070351193,0.00014923418,0.00052041915,0.00027999803,0.00006952309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078358134,0.0005369057,0.00071952894,0.0005449581,0.0004229812,0.0010986751,0.0014204126,0.00073755713,0.0032076172],"category_scores_gemma":[0.0049762786,0.00035089976,0.00040302926,0.00038734742,0.0010559829,0.0010785337,0.0022785813,0.00085222395,0.0006216754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003681811,0.00010853763,0.005236513,0.00025291,0.00004138817,0.00033836707,0.0005035079,0.69208324,0.057000786,0.083111204,0.0028321755,0.15812312],"study_design_scores_gemma":[0.00001559967,0.000046820864,0.00021333827,0.000008387053,0.000004072904,0.00007284849,0.000038713824,0.97992295,0.010763661,0.007109394,0.0017910356,0.000013281253],"about_ca_topic_score_codex":0.001352921,"about_ca_topic_score_gemma":0.0014070495,"teacher_disagreement_score":0.0032076172,"about_ca_system_score_codex":0.0005720458,"about_ca_system_score_gemma":0.00093710696,"threshold_uncertainty_score":0.010730565},"labels":[],"label_agreement":null},{"id":"W2150307487","doi":"10.1145/1618452.1618483","title":"Abstraction of man-made shapes","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Adobe Systems","keywords":"Abstraction; Computer science; Polygon (computer graphics); Representation (politics); Key (lock); Set (abstract data type); Feature (linguistics); Shape analysis (program analysis); Surface (topology); Manifold (fluid mechanics); Artificial intelligence; Geometric shape; Algorithm; Theoretical computer science; Computer vision; Geometry; Mathematics; Static analysis","score_opus":0.0249858035039434,"score_gpt":0.29566157372365676,"score_spread":0.27067577021971334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150307487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011304976,0.000050753788,0.9858765,0.000038978647,0.000010964768,0.000044128978,0.00014236926,0.0013274939,0.0012039698],"genre_scores_gemma":[0.28285238,0.0005599319,0.709308,0.000056643632,0.000024780958,0.00013030825,0.0017332908,0.0006699188,0.0046646954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994161,0.000060175338,0.00003240151,0.0001248392,0.0003202874,0.00004618043],"domain_scores_gemma":[0.9993057,0.00015629883,0.00006088636,0.00029983727,0.00013409258,0.000043136293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045135623,0.0010149973,0.00092053023,0.0015510626,0.0005263012,0.0025422657,0.0015043139,0.0008843182,0.0045953095],"category_scores_gemma":[0.002421758,0.0006248093,0.0015087008,0.0013269989,0.0009469872,0.00269891,0.002835841,0.0015727122,0.0016335493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021053189,0.00006442506,0.0031059056,0.00035936208,0.00009416242,0.0005412308,0.0011783512,0.49215853,0.035507057,0.0975451,0.0056881304,0.36354727],"study_design_scores_gemma":[0.0000060974094,0.000037896396,0.0005787947,0.000029345765,0.000013825823,0.00023464134,0.00012380989,0.9435667,0.005993774,0.03884473,0.010548418,0.00002195845],"about_ca_topic_score_codex":0.0030303318,"about_ca_topic_score_gemma":0.003191268,"teacher_disagreement_score":0.0045953095,"about_ca_system_score_codex":0.0008296216,"about_ca_system_score_gemma":0.0007546275,"threshold_uncertainty_score":0.015372813},"labels":[],"label_agreement":null},{"id":"W2153763188","doi":"10.1145/1015706.1015725","title":"TensorTextures","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Singular value decomposition; Rendering (computer graphics); Computer science; Multilinear map; Tensor algebra; Artificial intelligence; Algorithm; Bidirectional texture function; Tensor (intrinsic definition); Mathematics; Computer vision; Image (mathematics); Image texture; Image processing; Algebra over a field; Pure mathematics","score_opus":0.023489264913888072,"score_gpt":0.2849220676874378,"score_spread":0.2614328027735497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153763188","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014084931,0.00012062201,0.99230254,0.000139871,0.00008179834,0.000040554638,0.00028060173,0.002901995,0.002723599],"genre_scores_gemma":[0.087894574,0.00065797317,0.89562523,0.00022088432,0.00018235084,0.00022314514,0.0015437736,0.0029385255,0.010713577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907047,0.00017905896,0.000062197476,0.00021058519,0.00040299355,0.00007470783],"domain_scores_gemma":[0.9985337,0.0003341195,0.00014108814,0.0005619433,0.00030189904,0.00012728442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011249669,0.0013434982,0.0010826199,0.0015120705,0.0010686981,0.0043894537,0.002841068,0.0013640638,0.019355174],"category_scores_gemma":[0.00485351,0.0008207979,0.0023766523,0.0014029252,0.0014342538,0.004366267,0.002620414,0.002574573,0.0067994217],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019732749,0.0000655518,0.000850774,0.00032253496,0.00012692022,0.0002648757,0.00042986948,0.17902747,0.016308391,0.44121695,0.027782604,0.33340672],"study_design_scores_gemma":[0.00002491552,0.000046117504,0.00019311543,0.000038615974,0.000019556881,0.00023760718,0.00006374639,0.7636892,0.007512966,0.16846295,0.059659533,0.00005169754],"about_ca_topic_score_codex":0.003830225,"about_ca_topic_score_gemma":0.0046905787,"teacher_disagreement_score":0.019355174,"about_ca_system_score_codex":0.0011626302,"about_ca_system_score_gemma":0.001177759,"threshold_uncertainty_score":0.06474954},"labels":[],"label_agreement":null},{"id":"W2153968339","doi":"10.1145/2077341.2077342","title":"Learning hatching for pen-and-ink illustration of surfaces","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":649,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Hatching; Artificial intelligence; Computer science; Cluster analysis; Line drawings; Object (grammar); Computer vision; Pixel; Non-photorealistic rendering; Line (geometry); Orientation (vector space); Pattern recognition (psychology); Computer graphics (images); Mathematics; Art; Visual arts; Engineering drawing; Geometry; Engineering","score_opus":0.0392951030834906,"score_gpt":0.303586913546126,"score_spread":0.2642918104626354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153968339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04201676,0.00047641603,0.9457789,0.00023051645,0.00007684537,0.000105024454,0.0002855811,0.008049418,0.002980487],"genre_scores_gemma":[0.28511733,0.00032200597,0.70350593,0.00016205704,0.00006350925,0.00013442844,0.0012006251,0.0005622204,0.008931913],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965477,0.000050261955,0.000016232161,0.0001476605,0.00008503966,0.000046065023],"domain_scores_gemma":[0.9994979,0.00024278011,0.00003595643,0.000083801,0.00010082941,0.00003873679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045074182,0.001219859,0.0011077436,0.00091508956,0.00049068924,0.0009251535,0.0016923879,0.0017735081,0.007732062],"category_scores_gemma":[0.001976281,0.00071320107,0.001503368,0.000665123,0.0004746004,0.0013410903,0.0010026428,0.0016225065,0.0024744528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017962609,0.00008965503,0.001527445,0.00017211933,0.000064608495,0.00021658839,0.00014403605,0.21779516,0.019816944,0.004250095,0.008410212,0.74733347],"study_design_scores_gemma":[0.000017264067,0.000040747826,0.0002599338,0.0000110110705,0.000008858375,0.000054711843,0.000028158785,0.9888649,0.0046094037,0.004206269,0.0018907249,0.000007910921],"about_ca_topic_score_codex":0.0023530673,"about_ca_topic_score_gemma":0.004891091,"teacher_disagreement_score":0.007732062,"about_ca_system_score_codex":0.00067836273,"about_ca_system_score_gemma":0.00052431016,"threshold_uncertainty_score":0.02586633},"labels":[],"label_agreement":null},{"id":"W2154956206","doi":"10.1145/2601097.2601185","title":"Meta-representation of shape families","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Seventh Framework Programme; European Research Council; Azrieli Foundation; Israel Science Foundation; Adobe Systems; University College London; United States-Israel Binational Science Foundation","keywords":"Representation (politics); Set (abstract data type); Computer science; ENCODE; Shape analysis (program analysis); Identity (music); Variety (cybernetics); Active shape model; Artificial intelligence; Prior probability; Theoretical computer science; Bayesian probability","score_opus":0.04717064391669978,"score_gpt":0.25287722233527565,"score_spread":0.20570657841857587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154956206","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0093427235,0.0002571682,0.9838472,0.00019490316,0.00003330971,0.000048422648,0.001067203,0.00239802,0.0028110791],"genre_scores_gemma":[0.27795288,0.0006817385,0.710118,0.00026412087,0.00006054678,0.0003467487,0.004943042,0.0011760566,0.0044568954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990434,0.00018126861,0.00007254475,0.00029956055,0.00032119677,0.00008198664],"domain_scores_gemma":[0.997895,0.00047133846,0.00016236621,0.0010598457,0.00031063272,0.00010082412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083195104,0.0009561103,0.0010069971,0.0021318032,0.00059416244,0.0029656952,0.0028533468,0.00153697,0.006485927],"category_scores_gemma":[0.0046701073,0.0007678376,0.0021191915,0.0022427794,0.0012654751,0.0047142976,0.0026276945,0.0021001606,0.0019163615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041156288,0.00017254289,0.0039924183,0.0006754003,0.00018477954,0.00069737766,0.0011447839,0.3538106,0.028747436,0.25626692,0.0162381,0.3376582],"study_design_scores_gemma":[0.000022518,0.000071757095,0.00064914086,0.00010054468,0.000051006125,0.0005559374,0.00015488376,0.8500151,0.009027556,0.11417122,0.025126437,0.000053915246],"about_ca_topic_score_codex":0.001988603,"about_ca_topic_score_gemma":0.0035549982,"teacher_disagreement_score":0.006485927,"about_ca_system_score_codex":0.0009546426,"about_ca_system_score_gemma":0.000910083,"threshold_uncertainty_score":0.02169764},"labels":[],"label_agreement":null},{"id":"W2156997837","doi":"10.1145/2167076.2167081","title":"Sparse zonal harmonic factorization for efficient SH rotation","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Spherical harmonics; Rotation matrix; Zonal spherical harmonics; Algorithm; Rendering (computer graphics); Computer science; Factorization; Basis function; Rotation (mathematics); Matrix decomposition; Matrix multiplication; Matrix representation; Sparse approximation; Mathematics; Mathematical analysis; Artificial intelligence; Physics; Vector spherical harmonics; Eigenvalues and eigenvectors","score_opus":0.046589828491485664,"score_gpt":0.30527088232284455,"score_spread":0.25868105383135886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156997837","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043164794,0.000047949612,0.99204046,0.00006974778,0.000026024989,0.000028075765,0.00006705263,0.0009423447,0.0024618402],"genre_scores_gemma":[0.10446499,0.00019874261,0.88967514,0.00009200442,0.00006266454,0.00011996045,0.00038799582,0.00060422474,0.004394232],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999683,0.000056015444,0.000011982992,0.000029983277,0.00017344643,0.000045584686],"domain_scores_gemma":[0.9995751,0.00012818306,0.000036610087,0.00011159095,0.00011888008,0.000029625196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040661107,0.00076977693,0.00053023605,0.0005247259,0.00040358465,0.00091357686,0.00076129247,0.00053289835,0.011318838],"category_scores_gemma":[0.002008423,0.0002965542,0.00060302246,0.0007207621,0.0004616468,0.0009803678,0.0010745883,0.0010866227,0.004875008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029733728,0.00010802189,0.0008447524,0.00023033551,0.00003454708,0.00023381732,0.00044705346,0.23625055,0.085218534,0.1182259,0.028186299,0.52992284],"study_design_scores_gemma":[0.000020759582,0.000033527842,0.00009815877,0.000010908818,0.000004723115,0.00008363407,0.000048726502,0.96787596,0.010862534,0.009223442,0.011723322,0.00001434346],"about_ca_topic_score_codex":0.0028668698,"about_ca_topic_score_gemma":0.0047221035,"teacher_disagreement_score":0.011318838,"about_ca_system_score_codex":0.00048252326,"about_ca_system_score_gemma":0.0007431046,"threshold_uncertainty_score":0.03786528},"labels":[],"label_agreement":null},{"id":"W2159142102","doi":"10.1145/1778765.1778819","title":"Volume contact constraints at arbitrary resolution","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Polygon mesh; Computer science; Intersection (aeronautics); Constraint (computer-aided design); Gauss; Resolution (logic); Algorithm; Mathematical optimization; Geometry; Mathematics; Computer graphics (images); Artificial intelligence; Physics","score_opus":0.01155100183674858,"score_gpt":0.21235474543576047,"score_spread":0.20080374359901187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159142102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014527418,0.00011032941,0.9764547,0.0001178847,0.000051744442,0.00004270788,0.00010603397,0.0006571608,0.007932067],"genre_scores_gemma":[0.53493595,0.00029145973,0.4521927,0.00019686652,0.00008479746,0.00027421265,0.0003631065,0.0007901276,0.010870784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998723,0.00014284135,0.000042110863,0.00012907607,0.00084759295,0.000115328694],"domain_scores_gemma":[0.9990683,0.00039387608,0.00011398514,0.00018449953,0.00016254302,0.00007678552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045123877,0.00077252014,0.0008775665,0.00066057115,0.00065280223,0.0017918871,0.0020195693,0.0016346953,0.0051077404],"category_scores_gemma":[0.003436717,0.00073298416,0.0007701497,0.00061491306,0.0010845492,0.0022844109,0.0027701631,0.0016332756,0.0010312353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009667149,0.000064618565,0.0007549472,0.00012119298,0.000043875985,0.00046876987,0.00036777472,0.7816552,0.026022544,0.13268834,0.003985122,0.05373094],"study_design_scores_gemma":[0.000013888373,0.000015420397,0.00008707561,0.000009030599,0.0000040227965,0.00008470566,0.000020218682,0.98018265,0.004854884,0.009493073,0.0052209934,0.0000139445665],"about_ca_topic_score_codex":0.0042871293,"about_ca_topic_score_gemma":0.003830358,"teacher_disagreement_score":0.0051077404,"about_ca_system_score_codex":0.00074198586,"about_ca_system_score_gemma":0.001174754,"threshold_uncertainty_score":0.017087042},"labels":[],"label_agreement":null},{"id":"W2163213698","doi":"10.1145/1360612.1360686","title":"Fluorescent immersion range scanning","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft","keywords":"Optics; Computer vision; Structured light; Computer science; Artificial intelligence; Laser scanning; Bidirectional reflectance distribution function; Surface (topology); Materials science; Laser; Physics; Geometry; Mathematics; Reflectivity","score_opus":0.025640455998157258,"score_gpt":0.2554762525449001,"score_spread":0.22983579654674283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163213698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23287737,0.0018667211,0.6967999,0.00043844528,0.0001853545,0.0003358168,0.0016986969,0.0076266485,0.058171015],"genre_scores_gemma":[0.50137526,0.0019107598,0.46420532,0.0003255393,0.000056009038,0.00056869973,0.0017851373,0.0011566576,0.02861658],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993856,0.000046372752,0.000028732824,0.00017523125,0.00027430613,0.00008982626],"domain_scores_gemma":[0.99930644,0.0002027473,0.00008133636,0.00016946055,0.0001913879,0.000048599202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004520861,0.000702139,0.00037393445,0.0008070932,0.00041138666,0.00071295333,0.00096068974,0.00079915626,0.010123509],"category_scores_gemma":[0.0009352963,0.00048961485,0.00036567487,0.00052303035,0.0004714125,0.0008236078,0.0010258562,0.0007254975,0.0022498264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017571302,0.000040702696,0.0006281011,0.00022834941,0.000014113829,0.0002931293,0.00018640999,0.0019929332,0.91751385,0.006685722,0.0022956731,0.06994526],"study_design_scores_gemma":[0.00002362357,0.000116162904,0.0012514979,0.000054876706,0.000018653489,0.0012719622,0.000070178205,0.019045848,0.9479568,0.0013380512,0.028796293,0.000056083216],"about_ca_topic_score_codex":0.0011708462,"about_ca_topic_score_gemma":0.0014447628,"teacher_disagreement_score":0.010123509,"about_ca_system_score_codex":0.0004953702,"about_ca_system_score_gemma":0.0003517146,"threshold_uncertainty_score":0.033866525},"labels":[],"label_agreement":null},{"id":"W2166540415","doi":"10.1145/1015706.1015788","title":"VisionWand","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Affordance; Exploit; Human–computer interaction; Gesture; Set (abstract data type); Interface (matter); Variety (cybernetics); Multi-touch; Computer graphics (images); Artificial intelligence","score_opus":0.016298256661479524,"score_gpt":0.26313697697470684,"score_spread":0.24683872031322732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166540415","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010308674,0.0045167906,0.31585193,0.00227103,0.0026082047,0.00066973374,0.011467543,0.04834583,0.6039603],"genre_scores_gemma":[0.15505984,0.0048442762,0.24046792,0.0036751847,0.0005325587,0.0011601497,0.044993654,0.007828424,0.54143804],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99930394,0.00004009128,0.000033657754,0.0002457271,0.00027608557,0.000100349236],"domain_scores_gemma":[0.9995478,0.000031016556,0.000017826364,0.000120379336,0.0002266109,0.000056296503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039582772,0.0011937653,0.0007490227,0.0017960414,0.0009957915,0.0035023282,0.0013832267,0.0016990757,0.14139855],"category_scores_gemma":[0.0013447624,0.0005053053,0.00071352295,0.0012718763,0.00047125499,0.002114354,0.0024422863,0.0015826283,0.11288037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004001199,0.00010586698,0.000862545,0.00054429506,0.000045296256,0.00027964707,0.00021423072,0.0014773776,0.03815664,0.03456802,0.25931892,0.664027],"study_design_scores_gemma":[0.00006899352,0.00009541331,0.0015300658,0.00009234934,0.000028120941,0.0008444904,0.00010674661,0.0104505345,0.016091995,0.014365766,0.95627403,0.000051463077],"about_ca_topic_score_codex":0.0035860639,"about_ca_topic_score_gemma":0.0034035733,"teacher_disagreement_score":0.14139855,"about_ca_system_score_codex":0.0007960921,"about_ca_system_score_gemma":0.0012092555,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2169611956","doi":"10.1145/2421636.2421645","title":"Edge-aware point set resampling","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":455,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia; Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Rendering (computer graphics); Resampling; Smoothing; Computer vision; Artificial intelligence; Noise (video); Point (geometry); Algorithm; Enhanced Data Rates for GSM Evolution; Point cloud; Outlier; Undersampling; Mathematics; Image (mathematics); Geometry","score_opus":0.025255019290038542,"score_gpt":0.23374181718771472,"score_spread":0.20848679789767618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169611956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026498128,0.000076952136,0.9712397,0.000030724823,0.000029933448,0.000052573127,0.00007294874,0.0012734364,0.00072555203],"genre_scores_gemma":[0.24387412,0.00013128752,0.75317717,0.00006389558,0.000032726177,0.000103901955,0.0005745647,0.00043078486,0.0016115425],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992343,0.00009389067,0.000055043976,0.00014269944,0.00040841303,0.00006560065],"domain_scores_gemma":[0.99877626,0.00023459323,0.00009838027,0.0005504958,0.00029892087,0.00004127518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063315436,0.00080049696,0.00077762303,0.0011985119,0.00037125978,0.0008503579,0.0011450851,0.00073630287,0.0018958405],"category_scores_gemma":[0.00295426,0.0003854353,0.00086285395,0.0008727134,0.0005073219,0.0010948083,0.0016628094,0.0009910908,0.00094858697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004047935,0.00019116871,0.0039100363,0.00020184433,0.00010008814,0.00029024808,0.0005018262,0.19840656,0.1970302,0.013788542,0.0046390477,0.5805356],"study_design_scores_gemma":[0.000028127128,0.00011509093,0.0016485221,0.000014122128,0.000022984204,0.00037105844,0.00009309216,0.88730717,0.09692218,0.0072762873,0.006154716,0.000046663932],"about_ca_topic_score_codex":0.0014283035,"about_ca_topic_score_gemma":0.0026270535,"teacher_disagreement_score":0.0018958405,"about_ca_system_score_codex":0.0002581378,"about_ca_system_score_gemma":0.00045622262,"threshold_uncertainty_score":0.006342232},"labels":[],"label_agreement":null},{"id":"W2170437529","doi":"10.1145/2487228.2487230","title":"Eulerian-on-lagrangian simulation","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Institute for Computing, Information and Cognitive Systems; University of British Columbia; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Eulerian path; Discretization; Euler–Lagrange equation; Solver; Computer science; Lagrangian; Applied mathematics; Mathematical optimization; Computer simulation; Mechanics; Mathematics; Simulation; Mathematical analysis; Physics","score_opus":0.027925830219158364,"score_gpt":0.29142247127702375,"score_spread":0.2634966410578654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170437529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02875371,0.00012375475,0.9418243,0.00023026936,0.00012003522,0.00012389658,0.0002554936,0.001680941,0.026887598],"genre_scores_gemma":[0.4394009,0.000404994,0.5370058,0.00022593932,0.00004493063,0.0003088641,0.0007479739,0.0009368413,0.020923765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996526,0.0000611172,0.000016244376,0.000031237527,0.00019798611,0.000040910007],"domain_scores_gemma":[0.9996488,0.00008650264,0.000030246898,0.00008282606,0.000089325076,0.00006221942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003738227,0.00038032336,0.0004915208,0.00042476636,0.00047824506,0.00076584343,0.0015964493,0.0008098388,0.0069749467],"category_scores_gemma":[0.0012299516,0.00031649784,0.00052273576,0.00033146754,0.00071331323,0.0010487889,0.0023888543,0.0007043241,0.0013006688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009507791,0.00011564808,0.0015277133,0.00012904614,0.00003202699,0.00024517253,0.0002229513,0.7957889,0.017364705,0.13652913,0.004743077,0.043206487],"study_design_scores_gemma":[0.000021716956,0.000021739377,0.000084571875,0.000008891057,0.0000042686047,0.000058679638,0.000013366063,0.97409636,0.0027139932,0.009880056,0.0130846035,0.000011823439],"about_ca_topic_score_codex":0.002063918,"about_ca_topic_score_gemma":0.0023975244,"teacher_disagreement_score":0.0069749467,"about_ca_system_score_codex":0.00043856076,"about_ca_system_score_gemma":0.0016396763,"threshold_uncertainty_score":0.02333349},"labels":[],"label_agreement":null},{"id":"W2170635633","doi":"10.1145/1360612.1360658","title":"A perceptually validated model for surface depth hallucination","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dolby (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Rendering (computer graphics); Computer vision; Computer science; Artificial intelligence; Photometric stereo; Albedo (alchemy); Computer graphics (images); Shading; Range (aeronautics); Flash (photography); Visibility; Optics; Image (mathematics); Physics; Materials science","score_opus":0.07569795929764675,"score_gpt":0.3106515290949494,"score_spread":0.23495356979730267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170635633","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03503361,0.0001489571,0.958948,0.00017090888,0.000044423217,0.000058063975,0.0001241442,0.00041027225,0.005061555],"genre_scores_gemma":[0.8686573,0.00029172236,0.12648872,0.00011898492,0.000050890696,0.00012140101,0.00021115062,0.00016080997,0.0038991764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996878,0.000072512325,0.000010989386,0.000077579214,0.000115089235,0.000036077134],"domain_scores_gemma":[0.99947387,0.00017968767,0.00004986968,0.00010912815,0.00014460206,0.000042739277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043382065,0.000545267,0.0003467949,0.00043606723,0.00022434963,0.0011070179,0.00097497326,0.0008229935,0.002422923],"category_scores_gemma":[0.0025924635,0.00028953108,0.0006331429,0.00025529493,0.0007923552,0.0011240595,0.0011991411,0.0008670073,0.00080416445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038846966,0.00010218725,0.0015326896,0.0002513939,0.00007332367,0.0005222473,0.0005645908,0.72751474,0.103737295,0.048443154,0.0024131595,0.11445674],"study_design_scores_gemma":[0.000008312684,0.00003933431,0.00025698112,0.000007490308,0.0000046138794,0.000108491025,0.000020524021,0.9909416,0.0023042813,0.0057035917,0.0005928391,0.000011893139],"about_ca_topic_score_codex":0.0023769112,"about_ca_topic_score_gemma":0.0014681933,"teacher_disagreement_score":0.002422923,"about_ca_system_score_codex":0.00043010566,"about_ca_system_score_gemma":0.0004885708,"threshold_uncertainty_score":0.008105516},"labels":[],"label_agreement":null},{"id":"W2205345940","doi":"10.1145/1882261.1866180","title":"Real-time collision culling of a million bodies on graphics processing units","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"National Research Foundation of Korea; Ministry of Culture, Sports and Tourism; Ministry of Knowledge Economy; Nvidia","keywords":"CUDA; Computer science; Computer graphics (images); Graphics processing unit; Graphics; General-purpose computing on graphics processing units; Collision detection; Computer graphics; Subdivision; Parallel computing; Collision; Computational science; Geography","score_opus":0.027656836839847595,"score_gpt":0.2930192859855023,"score_spread":0.2653624491456547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205345940","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17229576,0.00047155024,0.80851865,0.00032749464,0.0002483894,0.00016073254,0.00025688953,0.009919411,0.007801153],"genre_scores_gemma":[0.50832844,0.00018071251,0.48632053,0.00011309465,0.000038064263,0.00010054723,0.0005234378,0.0009994516,0.0033957527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913543,0.00011565263,0.0000394156,0.00010914219,0.00048984855,0.000110464745],"domain_scores_gemma":[0.9984945,0.0005249346,0.00010409606,0.00045426027,0.00026942074,0.00015279562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008279422,0.0008468425,0.0012507698,0.0008935521,0.001523978,0.001582822,0.0020558087,0.0012389802,0.00418787],"category_scores_gemma":[0.0033219655,0.00069260213,0.00076300395,0.001130906,0.00090709835,0.0011230807,0.0018355411,0.0011083891,0.0006359569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006082978,0.0001806233,0.004260745,0.00021372199,0.00017581832,0.0010642973,0.0010608796,0.71610177,0.042985365,0.019772723,0.014696283,0.19887948],"study_design_scores_gemma":[0.00003800134,0.000027385855,0.00040715284,0.000008163217,0.000008938043,0.00012695232,0.00005501181,0.98325205,0.010121579,0.002608314,0.003323836,0.000022559798],"about_ca_topic_score_codex":0.0087435655,"about_ca_topic_score_gemma":0.009032218,"teacher_disagreement_score":0.0087435655,"about_ca_system_score_codex":0.0007772245,"about_ca_system_score_gemma":0.0010605247,"threshold_uncertainty_score":0.017385304},"labels":[],"label_agreement":null},{"id":"W2253268269","doi":"10.1145/2897824.2925939","title":"RAID","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Engineering and Physical Sciences Research Council; King Abdullah University of Science and Technology","keywords":"Computer science; RAID; Sketch; Robustness (evolution); Bridging (networking); Artificial intelligence; ENCODE; Segmentation; Relation (database); Pattern recognition (psychology); Data mining; Information retrieval; Computer vision; Algorithm","score_opus":0.024364075168311183,"score_gpt":0.2803054725153463,"score_spread":0.25594139734703514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253268269","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014304922,0.0069523742,0.74302834,0.001170397,0.0013867681,0.0011286448,0.028090002,0.09453518,0.10940342],"genre_scores_gemma":[0.14994945,0.0046862727,0.6531917,0.0017566184,0.00047167507,0.0014428048,0.08737007,0.0073810862,0.09375038],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782395,0.0002447315,0.00022743252,0.00055151194,0.0009266349,0.00022576963],"domain_scores_gemma":[0.99795914,0.00027230653,0.00012914104,0.0009898043,0.0005219318,0.00012759514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139539,0.0013369947,0.0013933105,0.0024005293,0.0009298477,0.0044323993,0.002888434,0.0016437075,0.047623727],"category_scores_gemma":[0.0063848924,0.00071840174,0.001120254,0.0020715492,0.00067280856,0.0047700424,0.0044002,0.0015534711,0.046478014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009441154,0.0001929181,0.0028186794,0.0013143318,0.00013669569,0.000243946,0.0004027,0.008157531,0.015325172,0.062920384,0.33750442,0.57003903],"study_design_scores_gemma":[0.0001200811,0.0002465413,0.0015756615,0.00018451731,0.0000827576,0.0015920447,0.00039936896,0.08040831,0.01993355,0.04358611,0.85169923,0.00017188361],"about_ca_topic_score_codex":0.003632004,"about_ca_topic_score_gemma":0.005070769,"teacher_disagreement_score":0.047623727,"about_ca_system_score_codex":0.000931115,"about_ca_system_score_gemma":0.0015289352,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2278868814","doi":"10.1145/2751541","title":"Continuum Foam","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Nvidia; Autodesk","keywords":"Shearing (physics); Hyperelastic material; Discretization; Mechanics; Material point method; Computer science; Materials science; Mathematics; Physics; Composite material; Mathematical analysis; Finite element method","score_opus":0.023955734006960498,"score_gpt":0.24422803101302457,"score_spread":0.22027229700606407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278868814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24348605,0.0014256946,0.6679328,0.0013168113,0.00048472354,0.00034864366,0.0021499603,0.0030962692,0.07975915],"genre_scores_gemma":[0.8043011,0.00059231045,0.18352582,0.00041092798,0.00010368887,0.00044543727,0.0009480032,0.0004117025,0.009261112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997656,0.000056333636,0.000010912289,0.00004553687,0.000080798556,0.000040730716],"domain_scores_gemma":[0.99955183,0.00021817604,0.000037742888,0.000052593765,0.000083377825,0.000056238187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023661765,0.00066807715,0.00057702354,0.00066232873,0.00091280026,0.0013022939,0.001370638,0.0019757845,0.007968449],"category_scores_gemma":[0.001595729,0.00032909057,0.000704161,0.0004990089,0.0008333943,0.0012388556,0.0013883653,0.0007150611,0.00086756545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009327487,0.00017644034,0.002250697,0.00017943316,0.00004747967,0.00054460426,0.00020565228,0.9044393,0.009365736,0.058341835,0.0042835055,0.020072019],"study_design_scores_gemma":[0.000026025265,0.000039453,0.00018374466,0.000016696518,0.000008581109,0.0001354812,0.000039375795,0.9799361,0.0017326534,0.011592721,0.0062751793,0.0000140800985],"about_ca_topic_score_codex":0.0043558776,"about_ca_topic_score_gemma":0.0029158972,"teacher_disagreement_score":0.007968449,"about_ca_system_score_codex":0.0006028659,"about_ca_system_score_gemma":0.0007507928,"threshold_uncertainty_score":0.026657164},"labels":[],"label_agreement":null},{"id":"W2293183540","doi":"10.1145/2866570","title":"Intrinsic Girth Function for Shape Processing","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; McGill University","keywords":"Geodesic; Surface (topology); Invariant (physics); Computer graphics; Mathematics; Isometry (Riemannian geometry); Shape analysis (program analysis); Computer science; Function (biology); Feature (linguistics); Algorithm; Artificial intelligence; Topology (electrical circuits); Geometry; Combinatorics; Mathematical analysis","score_opus":0.020073324061366186,"score_gpt":0.22588189240700843,"score_spread":0.20580856834564223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293183540","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057215523,0.00062743534,0.9908398,0.000102637656,0.00005730729,0.000023004459,0.0001110486,0.00079527375,0.0017219336],"genre_scores_gemma":[0.22091071,0.001837384,0.7692053,0.0002465836,0.00026712587,0.00018025994,0.0009615701,0.0006823865,0.0057087564],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994387,0.0001106113,0.00003059155,0.00012793015,0.00025076233,0.00004132407],"domain_scores_gemma":[0.9990872,0.000307536,0.00008219818,0.00027812985,0.00019717113,0.00004773253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007460652,0.0007604481,0.0008435104,0.0024895796,0.0003236339,0.0015479788,0.0010734372,0.0010545012,0.0034372595],"category_scores_gemma":[0.0033586351,0.00030178882,0.0010179955,0.002125761,0.0012720205,0.0024078176,0.0013207003,0.0016217952,0.002427743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013232954,0.000051754763,0.0011099468,0.00030997946,0.000064296124,0.00014374623,0.00020463005,0.12563264,0.037293974,0.26134712,0.006452445,0.5672572],"study_design_scores_gemma":[0.000009221903,0.0000793589,0.0011600426,0.000035302925,0.000014855046,0.00026853223,0.000052105923,0.7846668,0.010005434,0.18676358,0.016892536,0.00005221093],"about_ca_topic_score_codex":0.0009226592,"about_ca_topic_score_gemma":0.00054853596,"teacher_disagreement_score":0.0034372595,"about_ca_system_score_codex":0.00081795076,"about_ca_system_score_gemma":0.00056820887,"threshold_uncertainty_score":0.011498749},"labels":[],"label_agreement":null},{"id":"W2295501117","doi":"10.1145/2816795.2818077","title":"Polyhedral patterns","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Architecture and Computational Design","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Homogeneous space; Invariant (physics); Curvature; Planar; Computer science; Mathematics; Polyhedron; Geometry; Computer graphics (images)","score_opus":0.02835775523918023,"score_gpt":0.22967186634539494,"score_spread":0.20131411110621472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295501117","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03949837,0.0010960966,0.9247351,0.00046314023,0.0002390961,0.00010360432,0.00019469619,0.00026567868,0.033404205],"genre_scores_gemma":[0.53282887,0.0023988138,0.4263226,0.0004910177,0.00025134545,0.0005101941,0.0007089379,0.00047121025,0.03601702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953187,0.00007784227,0.000023780522,0.00012779499,0.00018176362,0.000056997455],"domain_scores_gemma":[0.9995448,0.00017125235,0.00007195359,0.000100778,0.000066093584,0.000045006796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003033448,0.00087800773,0.0006793348,0.0006072324,0.00050024025,0.0012480887,0.0010406292,0.0010468175,0.006338543],"category_scores_gemma":[0.0017660082,0.00051542046,0.000770149,0.0006622526,0.0012138897,0.0011962862,0.0012246928,0.0012200001,0.0013590312],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006786167,0.00010258274,0.0013680778,0.0003658058,0.000062631436,0.00025387635,0.00017357548,0.5394289,0.015252707,0.32598433,0.007015987,0.10992364],"study_design_scores_gemma":[0.000044938937,0.00017800735,0.0004733951,0.000063269705,0.00002334739,0.00028960756,0.00009295868,0.71940553,0.0048753596,0.23391129,0.040613096,0.000029212557],"about_ca_topic_score_codex":0.00066975376,"about_ca_topic_score_gemma":0.0008767825,"teacher_disagreement_score":0.006338543,"about_ca_system_score_codex":0.00044003167,"about_ca_system_score_gemma":0.0004642533,"threshold_uncertainty_score":0.021204531},"labels":[],"label_agreement":null},{"id":"W2295829623","doi":"10.1145/1360612.1360674","title":"Curved folding","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Architecture and Computational Design","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Austrian Science Fund","keywords":"Folding (DSP implementation); Tearing; Planar; Computer science; Geometry; Computer graphics (images); Mechanical engineering; Mathematics; Engineering","score_opus":0.026556668231835532,"score_gpt":0.2141085841553371,"score_spread":0.18755191592350157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295829623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047193434,0.000785504,0.906707,0.00023260043,0.00017807735,0.00007065556,0.00023622373,0.0012768137,0.04331973],"genre_scores_gemma":[0.60152864,0.0014652279,0.355929,0.0002781506,0.00007365697,0.00014846007,0.0005677509,0.0008551544,0.039153934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976736,0.000043204236,0.000011869579,0.00005906276,0.00008511497,0.00003330484],"domain_scores_gemma":[0.99966633,0.00006609708,0.000040156723,0.00012095592,0.00007175277,0.000034749497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002672116,0.0006389235,0.00047709924,0.00060467335,0.0006416842,0.0011462392,0.0005318137,0.0007230855,0.010795337],"category_scores_gemma":[0.0010896386,0.00038556155,0.00067031186,0.00042545446,0.0009726745,0.0012257636,0.0014228021,0.0006236037,0.0027880683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021122917,0.00004662755,0.0014776582,0.00035274716,0.00006655993,0.00049098016,0.00037797444,0.21014395,0.094291896,0.46683887,0.007924681,0.2177769],"study_design_scores_gemma":[0.00004029497,0.00024415212,0.0014320817,0.00012891366,0.000058550944,0.0014385659,0.00022756186,0.49384946,0.038398102,0.3371174,0.12694518,0.000119702556],"about_ca_topic_score_codex":0.0003657849,"about_ca_topic_score_gemma":0.00057901704,"teacher_disagreement_score":0.010795337,"about_ca_system_score_codex":0.0003320251,"about_ca_system_score_gemma":0.0003417113,"threshold_uncertainty_score":0.036113977},"labels":[],"label_agreement":null},{"id":"W2296015560","doi":"10.1145/1015706.1015801","title":"Shader algebra","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Shader; Computer science; Metaprogramming; Compiler; Programming language; Set (abstract data type); Computer graphics (images); Theoretical computer science; Graphics","score_opus":0.02536895762214857,"score_gpt":0.28323823785566316,"score_spread":0.2578692802335146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296015560","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008023306,0.0011868544,0.8568394,0.00082003925,0.0008626203,0.00028822207,0.0018887769,0.008268675,0.12182214],"genre_scores_gemma":[0.22320983,0.0018009198,0.6577046,0.0016858112,0.0016329271,0.000777543,0.004353756,0.0035663312,0.10526831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99686474,0.00042243788,0.0002850874,0.00065123924,0.0014045547,0.00037197053],"domain_scores_gemma":[0.99870443,0.00019723963,0.00010344463,0.000357602,0.0004685283,0.0001687899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021225368,0.0007923394,0.0012630371,0.0018260796,0.0025056144,0.0045516714,0.0026375328,0.0008334801,0.026931724],"category_scores_gemma":[0.0022049975,0.00073131826,0.0021108254,0.0015387703,0.0028537537,0.006678266,0.0034160858,0.0026044496,0.012781557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055688048,0.000040579613,0.00024383064,0.00013942254,0.000018475357,0.00014517945,0.00026603206,0.001271152,0.0028324272,0.9492219,0.014955958,0.03080937],"study_design_scores_gemma":[0.000040507235,0.000057363803,0.0001865936,0.000050238905,0.000028708924,0.00042374103,0.000098269986,0.015103748,0.0057319403,0.6630323,0.31520125,0.000045369583],"about_ca_topic_score_codex":0.0014280996,"about_ca_topic_score_gemma":0.0013986742,"teacher_disagreement_score":0.026931724,"about_ca_system_score_codex":0.0014648422,"about_ca_system_score_gemma":0.0015286583,"threshold_uncertainty_score":0.09009564},"labels":[],"label_agreement":null},{"id":"W2296334577","doi":"10.1145/2766912","title":"Foldabilizing furniture","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Folding (DSP implementation); Computer science; Object (grammar); Design for manufacturability; Mathematical optimization; Granularity; Set (abstract data type); Packing problems; Process (computing); Topology (electrical circuits); Graph; Algorithm; Mathematics; Theoretical computer science; Combinatorics; Artificial intelligence; Programming language; Engineering","score_opus":0.04175396911881586,"score_gpt":0.24077964785714184,"score_spread":0.199025678738326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296334577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11674672,0.00016868283,0.87647825,0.00013745058,0.000026925058,0.00008637195,0.00012828711,0.0007916519,0.005435672],"genre_scores_gemma":[0.6024906,0.00022565592,0.39168942,0.00008549204,0.000020339628,0.00012176609,0.0005479137,0.0005719048,0.004246961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993687,0.000094158335,0.000036142505,0.00016952136,0.00021761682,0.000113802904],"domain_scores_gemma":[0.9993358,0.00023165686,0.00009220053,0.00020899932,0.00008914659,0.000042152617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052254077,0.0011487309,0.00086701475,0.00074962823,0.0006066242,0.0012195336,0.0012919632,0.0009560228,0.005283619],"category_scores_gemma":[0.0020660767,0.00070752227,0.0012358685,0.00059501105,0.0009152915,0.0019582766,0.0016488557,0.0008854251,0.0007882892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017300816,0.00010556852,0.0019711892,0.00022347875,0.00005476546,0.00025511076,0.00026464733,0.7704653,0.0628507,0.030529335,0.0015270248,0.13157997],"study_design_scores_gemma":[0.000017884337,0.0002363234,0.00094176276,0.000025011232,0.000033239477,0.00023333283,0.00013344827,0.91429037,0.03760872,0.040471334,0.0059772776,0.000031304706],"about_ca_topic_score_codex":0.00160326,"about_ca_topic_score_gemma":0.0016606166,"teacher_disagreement_score":0.005283619,"about_ca_system_score_codex":0.00081422273,"about_ca_system_score_gemma":0.00054673565,"threshold_uncertainty_score":0.01767546},"labels":[],"label_agreement":null},{"id":"W2338287119","doi":"10.1145/2897824.2925875","title":"ProxImaL","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Computer science; Deblurring; Solver; Inpainting; Deconvolution; Optimization problem; Noise reduction; Noise (video); Image restoration; Artificial intelligence; Compiler; Image processing; Algorithm; Image (mathematics); Theoretical computer science","score_opus":0.015206769470471991,"score_gpt":0.27218314375329206,"score_spread":0.25697637428282005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338287119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016438838,0.0002672384,0.9755289,0.00034017212,0.00015010544,0.0000813482,0.00039879855,0.00309826,0.01849133],"genre_scores_gemma":[0.07231543,0.0008290866,0.88048977,0.00074178074,0.00018563647,0.0005574485,0.0019076121,0.0037495948,0.039223667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872917,0.0002559693,0.00008367676,0.00028941463,0.00047620846,0.00016552632],"domain_scores_gemma":[0.9982666,0.0006702855,0.00010016728,0.00038326776,0.00046528855,0.00011428384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016413017,0.0014221334,0.0011340027,0.0011509724,0.001065051,0.0029901213,0.00281111,0.0017347975,0.041567776],"category_scores_gemma":[0.005613099,0.0008194006,0.0018423051,0.0012269801,0.0014165646,0.0028999543,0.004344306,0.0026440383,0.015123056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023096248,0.000118160795,0.00089552766,0.0006498388,0.00009518275,0.00020370065,0.00029664487,0.1356615,0.0044028433,0.54510665,0.05980984,0.25252914],"study_design_scores_gemma":[0.00008818303,0.000087418965,0.00024024367,0.00014343868,0.000041560907,0.0003094295,0.000110464716,0.53203475,0.0068158745,0.3077175,0.15236099,0.00005011085],"about_ca_topic_score_codex":0.0020912157,"about_ca_topic_score_gemma":0.003237523,"teacher_disagreement_score":0.041567776,"about_ca_system_score_codex":0.001288069,"about_ca_system_score_gemma":0.0024210128,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2346395279","doi":"10.1145/2857051","title":"High Brightness HDR Projection Using Dynamic Freeform Lensing","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Projector; Computer science; Luminance; Brightness; Computer vision; Stereoscopy; Computer graphics (images); Artificial intelligence; Frame rate; Projection (relational algebra); Image quality; Optics; Image (mathematics); Physics","score_opus":0.018430430984561427,"score_gpt":0.25020680298671466,"score_spread":0.23177637200215323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346395279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03703176,0.00022111386,0.9522887,0.00008453753,0.00002133322,0.000046277622,0.000043741293,0.0014075341,0.0088551],"genre_scores_gemma":[0.32173917,0.00034677883,0.6691051,0.00005487869,0.000026779479,0.00006128574,0.00012372436,0.0002182096,0.008324093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997806,0.000020118869,0.0000066104863,0.00003240337,0.0001421015,0.000018213954],"domain_scores_gemma":[0.9998797,0.000028260027,0.00001410514,0.000031110616,0.000035529676,0.000011292983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014868232,0.00040412883,0.00027043044,0.0002180532,0.00017681846,0.000639037,0.00064836117,0.00026418242,0.0036674703],"category_scores_gemma":[0.00035567422,0.0002573161,0.0003141602,0.0002522358,0.000310253,0.0007100357,0.00080878305,0.0004068941,0.0009764936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018123245,0.00010192565,0.0011176678,0.0002562474,0.00005804481,0.0001978373,0.00022917816,0.070734695,0.47528213,0.034274135,0.004039745,0.41352722],"study_design_scores_gemma":[0.00007317652,0.00034731376,0.0015460808,0.000046276753,0.000030414461,0.0007291525,0.00005523169,0.7135091,0.24683575,0.006767916,0.029979756,0.000079739606],"about_ca_topic_score_codex":0.0013778782,"about_ca_topic_score_gemma":0.0017295328,"teacher_disagreement_score":0.0036674703,"about_ca_system_score_codex":0.00041205622,"about_ca_system_score_gemma":0.00034201506,"threshold_uncertainty_score":0.012268901},"labels":[],"label_agreement":null},{"id":"W2403968758","doi":"10.1145/2893476","title":"Guided Learning of Control Graphs for Physics-Based Characters","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bottleneck; Computer science; CLIPS; Graph; Motion capture; Feedback control; Motion (physics); Artificial intelligence; Theoretical computer science; Control engineering; Engineering","score_opus":0.02308936837619503,"score_gpt":0.24086231231793975,"score_spread":0.21777294394174473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403968758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024102038,0.00009738325,0.9735319,0.000104552535,0.000015314554,0.000047689708,0.00003863323,0.00084376824,0.0012188102],"genre_scores_gemma":[0.7792154,0.00017619571,0.21661617,0.00012928796,0.000024043937,0.00020559644,0.0002695334,0.00035295158,0.0030108453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968004,0.000084571424,0.000012928006,0.00011420328,0.000074009724,0.000034298577],"domain_scores_gemma":[0.99867284,0.0009571777,0.00010076598,0.00012360963,0.00009034516,0.00005534742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062960555,0.0008878878,0.00055244286,0.0007774745,0.0004238686,0.0006253574,0.001048839,0.0010650813,0.00262348],"category_scores_gemma":[0.0035414165,0.0007407869,0.0006788148,0.00028525156,0.0013056061,0.0010741431,0.0010621318,0.0012746686,0.00029494613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026655292,0.00002710815,0.00014827143,0.000031197418,0.00000983056,0.00004169882,0.00004987569,0.97228694,0.0025469856,0.0063927183,0.0002553298,0.018183349],"study_design_scores_gemma":[0.000004202116,0.000012857923,0.000030144838,0.0000026166983,0.0000016613247,0.0000048713705,0.0000049936116,0.9931766,0.00056232326,0.0059950403,0.00020240771,0.0000023525338],"about_ca_topic_score_codex":0.0054867817,"about_ca_topic_score_gemma":0.008829055,"teacher_disagreement_score":0.0054867817,"about_ca_system_score_codex":0.0011181559,"about_ca_system_score_gemma":0.00083253236,"threshold_uncertainty_score":0.010909677},"labels":[],"label_agreement":null},{"id":"W2460055148","doi":"10.1145/2897824.2925910","title":"Resolving fluid boundary layers with particle strength exchange and weak adaptivity","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Reynolds number; Viscosity; Boundary layer; Grid; Mechanics; Computer science; Inertial frame of reference; Flow (mathematics); Physics; Classical mechanics; Geometry; Mathematics","score_opus":0.023718703822605762,"score_gpt":0.25898106260593884,"score_spread":0.23526235878333307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460055148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05543433,0.00024065617,0.94031084,0.00026563724,0.00009983214,0.0000911535,0.000055354187,0.0009679686,0.0025342267],"genre_scores_gemma":[0.585019,0.00019546096,0.41028562,0.00032751475,0.000110485176,0.00018832018,0.00014765134,0.00042001304,0.0033059588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957675,0.00013130266,0.000029044622,0.00006467182,0.00013847802,0.00005969655],"domain_scores_gemma":[0.9988906,0.00043534476,0.00012978878,0.00032030162,0.00012366674,0.00010027923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009672292,0.0010574457,0.0009349693,0.00058255927,0.00044609013,0.0014166908,0.0016373128,0.0013858045,0.0021613776],"category_scores_gemma":[0.0042403974,0.0005811393,0.00074396946,0.00034172775,0.0012307469,0.0018143187,0.0044075935,0.0018726519,0.0005114663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046565244,0.00025075497,0.0051525603,0.0002798277,0.00013204059,0.00053460227,0.000612274,0.72205806,0.07388407,0.06116908,0.0030003558,0.13246067],"study_design_scores_gemma":[0.000039304243,0.00004583184,0.00019024906,0.000007267809,0.000007859859,0.000046622583,0.000017736265,0.9864912,0.0045274235,0.007629121,0.0009842123,0.000013187212],"about_ca_topic_score_codex":0.0015765098,"about_ca_topic_score_gemma":0.0010632834,"teacher_disagreement_score":0.0021613776,"about_ca_system_score_codex":0.0003295075,"about_ca_system_score_gemma":0.00056910154,"threshold_uncertainty_score":0.0072305202},"labels":[],"label_agreement":null},{"id":"W2460299708","doi":"10.1145/2897824.2925881","title":"Terrain-adaptive locomotion skills using deep reinforcement learning","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":203,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Terrain; LEAPS; Computer science; Artificial intelligence; Morphing; Parameterized complexity; Workbench; Human–computer interaction; Visualization; Algorithm","score_opus":0.01886496579044436,"score_gpt":0.23547510519312548,"score_spread":0.21661013940268112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460299708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04235514,0.0001483383,0.95125943,0.00018908507,0.000034636218,0.00007106267,0.00005510388,0.0014904967,0.004396752],"genre_scores_gemma":[0.8063324,0.00014616242,0.18859269,0.00011707264,0.0000206343,0.00014704026,0.00015447091,0.00014688022,0.004342703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998344,0.000039241022,0.000008219279,0.000049696497,0.000041307325,0.000026980584],"domain_scores_gemma":[0.999496,0.00024774185,0.000059294794,0.00006378084,0.000074550146,0.000058549915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044253812,0.00072435517,0.00045366935,0.00028839931,0.00019310029,0.00045208956,0.0009869058,0.0007514993,0.0034478663],"category_scores_gemma":[0.0017675438,0.00038980113,0.0003632218,0.00019693981,0.0006328564,0.00079757505,0.0010958643,0.0011867576,0.00059704593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000453868,0.00006634128,0.00076506427,0.000056357265,0.00002303208,0.00006057119,0.000063265994,0.91192406,0.0071962597,0.0051718554,0.0011288024,0.073499],"study_design_scores_gemma":[0.0000047643043,0.000017698196,0.000060278657,0.000004466947,0.000001991484,0.000008506901,0.0000040892146,0.9966928,0.00074386626,0.0021503516,0.00030905954,0.000002190079],"about_ca_topic_score_codex":0.0022865988,"about_ca_topic_score_gemma":0.0035621317,"teacher_disagreement_score":0.0034478663,"about_ca_system_score_codex":0.00056625006,"about_ca_system_score_gemma":0.0006097723,"threshold_uncertainty_score":0.011534214},"labels":[],"label_agreement":null},{"id":"W2460797105","doi":"10.1145/2897824.2925896","title":"Physics-driven pattern adjustment for direct 3D garment editing","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Point (geometry); Replicate; Computer graphics (images); Space (punctuation); Engineering drawing; Scheme (mathematics); Reuse; Human–computer interaction; Geometry","score_opus":0.02029829926719824,"score_gpt":0.2315582452451204,"score_spread":0.21125994597792214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460797105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030508962,0.000064485204,0.9608453,0.000065929366,0.000049974504,0.00008569764,0.0000727525,0.003826971,0.0044799186],"genre_scores_gemma":[0.38026953,0.00009250862,0.6136857,0.0000903088,0.000015294383,0.00016724874,0.00026726373,0.0017477451,0.0036644195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996099,0.00005487458,0.000021584003,0.00007334107,0.0001998033,0.00004046846],"domain_scores_gemma":[0.999335,0.00022209261,0.000058020196,0.00024262366,0.00009424058,0.00004801981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048270222,0.000867649,0.00056916417,0.0005038127,0.0004151539,0.0009059647,0.0019983307,0.0008257212,0.006311071],"category_scores_gemma":[0.0016606221,0.00065106153,0.0009296386,0.00036156335,0.0006278992,0.0007911982,0.0013702862,0.0009421563,0.0013277719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022028094,0.00014095144,0.0020855193,0.0002676213,0.000081780905,0.0003101671,0.00042692758,0.6980658,0.099792145,0.016362894,0.0044829636,0.17776294],"study_design_scores_gemma":[0.0000183828,0.000046299803,0.00030635693,0.000008023517,0.000008017467,0.00009932835,0.000026012664,0.97706395,0.013911823,0.0038081661,0.0046834317,0.000020260884],"about_ca_topic_score_codex":0.0019510634,"about_ca_topic_score_gemma":0.0029546435,"teacher_disagreement_score":0.006311071,"about_ca_system_score_codex":0.0005322458,"about_ca_system_score_gemma":0.0006031564,"threshold_uncertainty_score":0.02111262},"labels":[],"label_agreement":null},{"id":"W2464830972","doi":"10.1145/2897824.2925928","title":"Computational imaging with multi-camera time-of-flight systems","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"King Abdullah University of Science and Technology; Intuitive Surgical; National Science Foundation","keywords":"Computer science; Computer vision; Artificial intelligence; Waveform; Computer graphics (images); Real-time computing; Telecommunications","score_opus":0.012526708465135443,"score_gpt":0.24326833243237853,"score_spread":0.23074162396724307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464830972","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010461144,0.00029224716,0.9874512,0.00014202326,0.00004816281,0.000027543416,0.00005141064,0.0004130963,0.0011131419],"genre_scores_gemma":[0.2662912,0.0005044251,0.7312689,0.00011445455,0.00008316317,0.0001352036,0.0001329423,0.000111456786,0.0013582037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993735,0.00018715818,0.00003524051,0.00012587923,0.00023857194,0.00003954843],"domain_scores_gemma":[0.99872655,0.0006595829,0.00013601875,0.0002465792,0.00018150844,0.00004971401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059483474,0.0006121808,0.0005047012,0.00047974472,0.00030971837,0.0010785804,0.0011301349,0.0009268474,0.002255787],"category_scores_gemma":[0.003636427,0.00040065596,0.0004998859,0.0006179508,0.00057914725,0.0016409087,0.0014715021,0.0009545243,0.0004725863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044194303,0.00014885906,0.002292364,0.00033324602,0.00016105374,0.00027783748,0.00031852312,0.62073356,0.07442872,0.053693112,0.0031999643,0.24397089],"study_design_scores_gemma":[0.000018258783,0.00004014549,0.00021613546,0.0000081693215,0.0000074273225,0.00006945666,0.00001747467,0.98452616,0.005767148,0.006269832,0.0030440206,0.000015719952],"about_ca_topic_score_codex":0.0010545298,"about_ca_topic_score_gemma":0.001181516,"teacher_disagreement_score":0.002255787,"about_ca_system_score_codex":0.0004641586,"about_ca_system_score_gemma":0.00043822645,"threshold_uncertainty_score":0.0075463653},"labels":[],"label_agreement":null},{"id":"W2465056104","doi":"10.1145/2897824.2925870","title":"Learning how objects function via co-analysis of interactions","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Science and Technology Planning Project of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Object (grammar); Computer science; Set (abstract data type); Pairwise comparison; Context (archaeology); Artificial intelligence; Function (biology); Human–computer interaction; Computer vision; Programming language","score_opus":0.01571998824359031,"score_gpt":0.23294446291172577,"score_spread":0.21722447466813546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465056104","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028112883,0.00035340936,0.9672647,0.00023346594,0.000024059718,0.000059067952,0.00021115779,0.001756163,0.0019851986],"genre_scores_gemma":[0.6784978,0.0005284208,0.31270897,0.00035445957,0.00008389066,0.0002680699,0.0014597619,0.0005245372,0.005574063],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809533,0.000254667,0.00006382547,0.0009906014,0.0004092182,0.00018646622],"domain_scores_gemma":[0.997832,0.0010087226,0.00024917535,0.00046157496,0.00031389683,0.00013462479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088117196,0.0017698195,0.0013636949,0.0027659277,0.0006852667,0.0020122984,0.003225066,0.0023911973,0.0026155992],"category_scores_gemma":[0.0039754426,0.0009898768,0.0028393648,0.0017939686,0.0013815351,0.0030552375,0.002807908,0.0019508175,0.0013282412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005827369,0.00039406985,0.022787822,0.00034021,0.0006388868,0.0007327601,0.0010227975,0.27018428,0.040893074,0.026010446,0.008534176,0.62787884],"study_design_scores_gemma":[0.0000084773,0.00006225595,0.0023644157,0.000019121973,0.00006271241,0.00017581506,0.00007199578,0.97688466,0.003716922,0.014333072,0.0022768145,0.000023755774],"about_ca_topic_score_codex":0.008308184,"about_ca_topic_score_gemma":0.009545571,"teacher_disagreement_score":0.008308184,"about_ca_system_score_codex":0.0012856482,"about_ca_system_score_gemma":0.0008775766,"threshold_uncertainty_score":0.016519606},"labels":[],"label_agreement":null},{"id":"W2465194975","doi":"10.1145/2897824.2925980","title":"Generating dynamically feasible trajectories for quadrotor cameras","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trajectory; Computer science; Solver; Trajectory optimization; Range (aeronautics); Computer vision; Discretization; Algorithm; Control theory (sociology); Artificial intelligence; Control (management); Mathematics; Engineering","score_opus":0.021295623256501667,"score_gpt":0.245586022634934,"score_spread":0.22429039937843234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465194975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03748082,0.00017598463,0.9531436,0.00010950126,0.00005791934,0.0001376275,0.0002832575,0.0025170306,0.006094355],"genre_scores_gemma":[0.4237536,0.00016514631,0.56981415,0.0000908365,0.0000137473235,0.00024272657,0.000751238,0.00093322585,0.0042354334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997528,0.0000455833,0.000013967851,0.00006681774,0.00008408129,0.00003679242],"domain_scores_gemma":[0.9994599,0.00026516823,0.00005361091,0.000054511693,0.00011764368,0.000049158523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036980727,0.00097110466,0.000493617,0.00039665477,0.00040370144,0.0006539003,0.00064244145,0.00075025926,0.008572158],"category_scores_gemma":[0.0024033342,0.00042206244,0.00048995356,0.00026126005,0.00050249044,0.0006675199,0.0008861287,0.000635478,0.000971336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028496637,0.00007246645,0.0017336769,0.0002911674,0.00004408603,0.00049881067,0.00032830943,0.85140145,0.018580126,0.018169373,0.0054945205,0.10310105],"study_design_scores_gemma":[0.000035391193,0.000058878904,0.00018554326,0.000028804134,0.0000067949404,0.0000755695,0.000086916276,0.9848033,0.005919925,0.004554737,0.0042322283,0.000011829696],"about_ca_topic_score_codex":0.0041242936,"about_ca_topic_score_gemma":0.007106916,"teacher_disagreement_score":0.008572158,"about_ca_system_score_codex":0.0007063746,"about_ca_system_score_gemma":0.00077748526,"threshold_uncertainty_score":0.028676748},"labels":[],"label_agreement":null},{"id":"W2465865740","doi":"10.1145/2897824.2925919","title":"Preserving geometry and topology for fluid flows with thin obstacles and narrow gaps","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Geometry; Eulerian path; Topology (electrical circuits); Boundary (topology); Fluid dynamics; Immersed boundary method; Grid; Flow (mathematics); Regular grid; Regular polygon; Computer science; Mathematics; Mathematical analysis; Mechanics; Physics","score_opus":0.021276774821005606,"score_gpt":0.2725640701642197,"score_spread":0.2512872953432141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465865740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104938455,0.00010339385,0.8916731,0.00012516002,0.00002105664,0.00004325712,0.000042258052,0.00046804562,0.0025853086],"genre_scores_gemma":[0.7333169,0.0002612285,0.26348045,0.000049457405,0.000018697443,0.00009813601,0.00016950676,0.00023430577,0.002371248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997422,0.000055881468,0.000010992228,0.000036370708,0.00012962756,0.000024931345],"domain_scores_gemma":[0.999468,0.00023582042,0.00007422514,0.00012211205,0.00003840034,0.00006143677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032818542,0.00047010442,0.0003731261,0.0006331637,0.00055886625,0.00095755793,0.0006351664,0.00060385437,0.0008208417],"category_scores_gemma":[0.0023793255,0.00031123092,0.00036662852,0.00032585184,0.0016742678,0.001023388,0.002062394,0.00078646216,0.00023083178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072196744,0.00004752249,0.0011503788,0.000067903595,0.000009084655,0.00030492357,0.00035290114,0.86999255,0.036395226,0.05775459,0.00038731412,0.03346542],"study_design_scores_gemma":[0.000011909823,0.00002617096,0.00019939868,0.0000075674284,0.000002181836,0.00009936659,0.000035923935,0.97056085,0.0065912046,0.020809762,0.0016436765,0.000012034089],"about_ca_topic_score_codex":0.0015254064,"about_ca_topic_score_gemma":0.0013132578,"teacher_disagreement_score":0.0015254064,"about_ca_system_score_codex":0.00045403972,"about_ca_system_score_gemma":0.00066048774,"threshold_uncertainty_score":0.003294289},"labels":[],"label_agreement":null},{"id":"W2465881649","doi":"10.1145/2897824.2925899","title":"Surface-only liquids","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Inviscid flow; Surface tension; Advection; Surface (topology); Compressibility; Mechanics; Boundary (topology); Projection (relational algebra); Classical mechanics; Divergence (linguistics); Boundary element method; Range (aeronautics); Physics; Geometry; Mathematics; Mathematical analysis; Materials science; Finite element method","score_opus":0.013141712989047465,"score_gpt":0.2166255106661172,"score_spread":0.20348379767706976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465881649","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.114079334,0.00031990078,0.8647729,0.00030296552,0.00018069483,0.00009844213,0.00030149872,0.001979797,0.017964317],"genre_scores_gemma":[0.6952872,0.00044733923,0.29255903,0.00019230219,0.00006359579,0.0002181866,0.00048210323,0.00059088296,0.010159352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997825,0.00002315345,0.000008261634,0.00002592349,0.00012677097,0.000033411474],"domain_scores_gemma":[0.9998173,0.000039823644,0.000019767693,0.000042758893,0.000054969045,0.000025366517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012189764,0.00044214787,0.0006301894,0.00033724587,0.00048697038,0.0012597608,0.001430611,0.0011791397,0.00381198],"category_scores_gemma":[0.0006174863,0.00033677008,0.0006377453,0.00040449767,0.00063623517,0.0016032227,0.0014930236,0.0007549026,0.0011042841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016532342,0.00014898852,0.0017944523,0.00023529284,0.00005456495,0.00043211447,0.00033099245,0.7191751,0.11298097,0.08680426,0.0032262478,0.07465179],"study_design_scores_gemma":[0.000030301522,0.000046044628,0.000093037816,0.0000062209174,0.0000064484784,0.00006442857,0.0000224796,0.9781771,0.01081102,0.005037668,0.0056906193,0.000014664127],"about_ca_topic_score_codex":0.0019315538,"about_ca_topic_score_gemma":0.0017344995,"teacher_disagreement_score":0.00381198,"about_ca_system_score_codex":0.00039250997,"about_ca_system_score_gemma":0.00077398284,"threshold_uncertainty_score":0.012752354},"labels":[],"label_agreement":null},{"id":"W2468016588","doi":"10.1145/2897824.2925982","title":"Modeling dense inflorescences","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Inflorescence; Petal; Branching (polymer chemistry); Botany; Bract; Biology; Chemistry","score_opus":0.041511912544201515,"score_gpt":0.2556553882538532,"score_spread":0.2141434757096517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468016588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18171029,0.00041294305,0.79781806,0.00024215734,0.00007521944,0.00009962886,0.00085267035,0.0017478182,0.017041234],"genre_scores_gemma":[0.844302,0.0003545634,0.14427422,0.0001013601,0.000030663217,0.00014449544,0.0009089721,0.00041234426,0.009471463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987555,0.000021829821,0.0000055302335,0.000038249444,0.000035883673,0.00002301172],"domain_scores_gemma":[0.99965787,0.00018858587,0.00003321723,0.000041632644,0.000044586108,0.000034137232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022758628,0.0006575947,0.00047448464,0.0004696677,0.0004743315,0.0012407978,0.0012955391,0.0013749492,0.003923122],"category_scores_gemma":[0.0009973134,0.00056583923,0.001081114,0.0004066438,0.00062402047,0.00057952193,0.00097514974,0.00061553845,0.00047539413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027426388,0.000016614747,0.0009204734,0.000043172626,0.000016696964,0.00013530237,0.00009188175,0.9781034,0.0048886207,0.00892945,0.0006625348,0.0061644004],"study_design_scores_gemma":[0.000005918659,0.000006999204,0.00018620816,0.0000056227423,0.0000035919782,0.00003857438,0.000013202945,0.99585885,0.00056250533,0.002094753,0.0012188844,0.000004933646],"about_ca_topic_score_codex":0.00759472,"about_ca_topic_score_gemma":0.00972702,"teacher_disagreement_score":0.00759472,"about_ca_system_score_codex":0.0008499552,"about_ca_system_score_gemma":0.0006019945,"threshold_uncertainty_score":0.015101075},"labels":[],"label_agreement":null},{"id":"W2468212864","doi":"10.1145/2897824.2925984","title":"JALI","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer science; Animation; Computer facial animation; Facial motion capture; Retargeting; Motion capture; Facial muscles; Computer animation; Articulation (sociology); Workflow; Viseme; Speech recognition; Human–computer interaction; Artificial intelligence; Motion (physics); Computer graphics (images); Speech synthesis; Communication; Facial recognition system; Pattern recognition (psychology); Psychology; Face detection","score_opus":0.023787082724252753,"score_gpt":0.24592452401692108,"score_spread":0.22213744129266833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468212864","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010176398,0.0022045618,0.272259,0.002037003,0.0026119216,0.0006359973,0.022322077,0.11428283,0.57347023],"genre_scores_gemma":[0.07118178,0.0021995886,0.2471354,0.0023787592,0.0007546966,0.001148793,0.0662591,0.020407459,0.5885344],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991762,0.00008563538,0.000062287705,0.00020999277,0.0003738595,0.00009195856],"domain_scores_gemma":[0.99893755,0.00013129656,0.00006118483,0.00036939912,0.00035348424,0.00014705921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010104472,0.0010498461,0.000633936,0.0014646964,0.0011040221,0.0033808372,0.0018784291,0.0013769842,0.24296276],"category_scores_gemma":[0.0024285389,0.0006440418,0.0007520324,0.0010849015,0.00042740832,0.0026605623,0.0030590321,0.0013983565,0.20001757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060761615,0.00013400742,0.0012597715,0.00065486913,0.00004386195,0.00032972865,0.00041569446,0.0014297322,0.031137869,0.037486907,0.4735251,0.45297486],"study_design_scores_gemma":[0.00004145976,0.00009972891,0.0010428169,0.00007265466,0.000017621507,0.00055750983,0.0000860662,0.005703108,0.008840171,0.0060717287,0.9774145,0.000052646246],"about_ca_topic_score_codex":0.0012039142,"about_ca_topic_score_gemma":0.0022397512,"teacher_disagreement_score":0.24296276,"about_ca_system_score_codex":0.00059108605,"about_ca_system_score_gemma":0.00082336017,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2469171054","doi":"10.1145/2897824.2925887","title":"Legible compact calligrams","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Science Foundation for Young Scientists of Shanxi Province; Hengyang Normal University; Dalian University of Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Legibility; Computer science; Artificial intelligence; Computer vision; Word (group theory); Embedding; Path (computing); Computer graphics (images); Mathematics; Geometry","score_opus":0.026561371076272405,"score_gpt":0.2711389985767029,"score_spread":0.24457762750043052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469171054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17248988,0.0007469409,0.7572945,0.00046024067,0.00060548517,0.0007022565,0.0024629468,0.03292359,0.032314166],"genre_scores_gemma":[0.4328402,0.00043005322,0.52698946,0.0004259369,0.00010029067,0.0006085696,0.0037865622,0.0082154665,0.026603483],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942183,0.00007665931,0.0000350402,0.00014080346,0.00027088966,0.00005473935],"domain_scores_gemma":[0.9976115,0.0008380385,0.00011932411,0.00075962156,0.00054651167,0.00012512587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041707692,0.0013142957,0.0007241505,0.00089946314,0.0004944465,0.0020737485,0.0014131643,0.0010567976,0.01779712],"category_scores_gemma":[0.005656034,0.0004800457,0.0006502567,0.00078377477,0.000677693,0.0015895844,0.0022860158,0.00092532934,0.0039743455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013924044,0.00019765142,0.0022349826,0.0015339379,0.0001115331,0.0022721386,0.0019434465,0.045658037,0.29487118,0.015039784,0.045108598,0.5896364],"study_design_scores_gemma":[0.00026807495,0.0010929736,0.009884249,0.0003120508,0.000242529,0.005035877,0.0014071732,0.4054254,0.322966,0.022574084,0.23039424,0.00039744016],"about_ca_topic_score_codex":0.00084928126,"about_ca_topic_score_gemma":0.0018107323,"teacher_disagreement_score":0.01779712,"about_ca_system_score_codex":0.00038665015,"about_ca_system_score_gemma":0.00035013753,"threshold_uncertainty_score":0.05953729},"labels":[],"label_agreement":null},{"id":"W2469784314","doi":"10.1145/2897824.2925965","title":"Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":296,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Initialization; Computer science; Discriminative model; Range (aeronautics); Artificial intelligence; Tracking (education); Convergence (economics); Computer vision; Augmented reality; Pose","score_opus":0.026583553772144032,"score_gpt":0.2587782965155166,"score_spread":0.23219474274337257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469784314","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057306243,0.00011444777,0.9902327,0.000037511934,0.000017745493,0.00002368756,0.000047453006,0.0026157813,0.0011800436],"genre_scores_gemma":[0.28684422,0.00031377538,0.706218,0.00012942692,0.00005865795,0.00014625235,0.00041261324,0.0008964197,0.004980577],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984779,0.000207515,0.00007216443,0.000559481,0.00057135645,0.000111662215],"domain_scores_gemma":[0.99860734,0.0005459492,0.0001471294,0.0004927364,0.00013629088,0.00007056605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011526523,0.0013165296,0.0014644259,0.00087600725,0.0005959669,0.0023556422,0.0018997949,0.0015499775,0.005159178],"category_scores_gemma":[0.004265412,0.0011152496,0.00089942757,0.001471715,0.001248406,0.0024134412,0.003536906,0.0017200885,0.0026406115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003201042,0.00017551817,0.0014520651,0.00022461002,0.00019026552,0.00020491562,0.00043092621,0.36457363,0.072367825,0.008937962,0.0059060683,0.54521614],"study_design_scores_gemma":[0.000025152214,0.00006415656,0.0009979064,0.00002090544,0.000019524687,0.00020672381,0.000044397377,0.9724434,0.016044732,0.0066196644,0.0034768118,0.000036558828],"about_ca_topic_score_codex":0.004125943,"about_ca_topic_score_gemma":0.00799242,"teacher_disagreement_score":0.005159178,"about_ca_system_score_codex":0.00061416806,"about_ca_system_score_gemma":0.0012740963,"threshold_uncertainty_score":0.017259121},"labels":[],"label_agreement":null},{"id":"W2472178346","doi":"10.1145/2897824.2925983","title":"Rich360","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Image stitching; Parallax; Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Projection (relational algebra); Pipeline (software); Surface (topology); Sampling (signal processing); Mathematics; Algorithm; Geometry","score_opus":0.02070891255358616,"score_gpt":0.27187125989278743,"score_spread":0.2511623473392013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472178346","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08172992,0.003326503,0.62334543,0.00077404577,0.0007774889,0.0010051797,0.008728069,0.06318097,0.21713245],"genre_scores_gemma":[0.22084393,0.0020114207,0.62879425,0.0008307475,0.00022992569,0.00045410774,0.018086191,0.005089683,0.12365978],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951816,0.000041618292,0.000018277651,0.00011859884,0.00023657201,0.000066852794],"domain_scores_gemma":[0.99954647,0.00008643607,0.000022550903,0.00012956375,0.00012759908,0.00008738716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043479478,0.0007393946,0.00046745455,0.0007828921,0.00057903276,0.0011236989,0.0012471005,0.00065139984,0.058733087],"category_scores_gemma":[0.0010155743,0.000588955,0.00072836864,0.00039509824,0.00035652902,0.0016402683,0.0024704577,0.0007893607,0.01682042],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016090295,0.00023447539,0.001674189,0.0011942782,0.00012601138,0.00074562256,0.00075166335,0.0057521053,0.2714689,0.019122617,0.09577726,0.60154384],"study_design_scores_gemma":[0.000182854,0.0010241761,0.0056521934,0.0002564886,0.00012530584,0.0035550164,0.00028267072,0.05923513,0.18825586,0.007960285,0.7331527,0.00031736697],"about_ca_topic_score_codex":0.0019274281,"about_ca_topic_score_gemma":0.0032551326,"teacher_disagreement_score":0.058733087,"about_ca_system_score_codex":0.00048800968,"about_ca_system_score_gemma":0.0007782736,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2473283942","doi":"10.1145/2897824.2925895","title":"Real-time polygonal-light shading with linearly transformed cosines","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ubisoft (Canada)","funders":"","keywords":"Direction cosine; Spherical coordinate system; Mathematics; Ellipse; Superposition principle; Trigonometric functions; Mathematical analysis; Distribution (mathematics); Transformation (genetics); Spherical trigonometry; Geometry","score_opus":0.015398077895180403,"score_gpt":0.25944025978655694,"score_spread":0.24404218189137653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473283942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014594589,0.000053220792,0.9806511,0.000059334674,0.000032108353,0.000023160837,0.000023023636,0.00097004755,0.0035933752],"genre_scores_gemma":[0.5106384,0.00026190834,0.481534,0.000090425274,0.00005809103,0.000052521278,0.00013653692,0.0011501296,0.0060779103],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959105,0.00005451011,0.000009878816,0.000035723384,0.0002756447,0.000033220807],"domain_scores_gemma":[0.99956137,0.00016155308,0.000045457196,0.00008416129,0.0001083297,0.00003916115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039530543,0.0003853914,0.00027640682,0.0003506341,0.00021049373,0.0008217393,0.00058812,0.00028251662,0.0034928853],"category_scores_gemma":[0.0017333233,0.0002544978,0.0004956694,0.0005414581,0.00054292654,0.0007848813,0.00070944114,0.00072666304,0.000984467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040839662,0.00011118159,0.0017293219,0.00024232519,0.00004831791,0.00046009012,0.0007527786,0.30196476,0.21903367,0.09365951,0.0072807837,0.37430888],"study_design_scores_gemma":[0.000023340073,0.000040744108,0.0004596906,0.000010587337,0.000005985658,0.00024007648,0.000066992565,0.941693,0.0368656,0.008990081,0.011575213,0.00002865626],"about_ca_topic_score_codex":0.0024181618,"about_ca_topic_score_gemma":0.0025496327,"teacher_disagreement_score":0.0034928853,"about_ca_system_score_codex":0.00058135315,"about_ca_system_score_gemma":0.0004087587,"threshold_uncertainty_score":0.011684895},"labels":[],"label_agreement":null},{"id":"W2473797470","doi":"10.1145/2897824.2925958","title":"Connected fermat spirals for layered fabrication","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fabrication; Geometry; Fermat's Last Theorem; Mathematics; Curvature; Spiral (railway); Mathematical analysis; Discrete mathematics","score_opus":0.030385399776950196,"score_gpt":0.24340070274998193,"score_spread":0.21301530297303173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473797470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12762296,0.0006644352,0.84595615,0.00022343728,0.000119565324,0.00006324073,0.00011504232,0.0013661353,0.023868972],"genre_scores_gemma":[0.5945432,0.00052158703,0.39709005,0.00012939174,0.00003033584,0.00011210028,0.00014966581,0.00030180262,0.0071218326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969375,0.000045814548,0.000021277945,0.00004708134,0.00015597245,0.000036108566],"domain_scores_gemma":[0.9994824,0.00016739071,0.000085333035,0.0001496148,0.00007486604,0.000040458905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022453813,0.00051215023,0.00026082204,0.00092783215,0.0005439156,0.0010257976,0.00055064313,0.0007939954,0.0037958291],"category_scores_gemma":[0.0014294528,0.0003371374,0.00045605825,0.0006676383,0.0011481423,0.0012626757,0.0009894304,0.00076219987,0.0011059853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001642434,0.000041866595,0.0009143846,0.00033593964,0.000030155234,0.00052958843,0.00057210523,0.07768952,0.20931856,0.5586338,0.0020472857,0.14972258],"study_design_scores_gemma":[0.000060813476,0.0005517018,0.00096990325,0.00015387835,0.00004036955,0.0019173698,0.00020631701,0.33343378,0.23036267,0.34075624,0.09137958,0.00016735977],"about_ca_topic_score_codex":0.0002709068,"about_ca_topic_score_gemma":0.00041996266,"teacher_disagreement_score":0.0037958291,"about_ca_system_score_codex":0.00047730622,"about_ca_system_score_gemma":0.00034354144,"threshold_uncertainty_score":0.012698352},"labels":[],"label_agreement":null},{"id":"W2473931607","doi":"10.1145/2897824.2925970","title":"SketchiMo","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation","keywords":"Sketch; Viewport; Computer science; Representation (politics); Motion (physics); Set (abstract data type); Space (punctuation); Range (aeronautics); Character animation; Artificial intelligence; Computer graphics (images); Computer vision; Animation; Algorithm; Programming language; Computer animation","score_opus":0.016782539910878514,"score_gpt":0.21748455039774522,"score_spread":0.2007020104868667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473931607","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005472907,0.0009916847,0.94718695,0.00019851851,0.0003863267,0.00017708506,0.00086721603,0.02197761,0.022741769],"genre_scores_gemma":[0.19328614,0.001980064,0.7373397,0.0005739414,0.00025801416,0.00063868036,0.0041074837,0.008346957,0.053469017],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993106,0.00011363849,0.000045051296,0.00017180399,0.00030376716,0.000055187054],"domain_scores_gemma":[0.99920756,0.00022600702,0.000037503556,0.00028595832,0.0001342529,0.00010876311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065519474,0.001425731,0.00073919527,0.0007439985,0.0005415794,0.0026397551,0.0022640142,0.0013714574,0.040400345],"category_scores_gemma":[0.003459374,0.0006544499,0.0011708735,0.0004135806,0.00072725915,0.0023988113,0.003926337,0.0018423086,0.00893575],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008429104,0.00017203299,0.0010283483,0.0018186906,0.00025058657,0.0009014507,0.0012216587,0.062212665,0.10516605,0.11959587,0.07127381,0.635516],"study_design_scores_gemma":[0.0001801521,0.00030768334,0.0006824099,0.00020831132,0.000095244155,0.0014246727,0.00025609,0.3129514,0.056626923,0.044625733,0.5824526,0.00018890764],"about_ca_topic_score_codex":0.00071705465,"about_ca_topic_score_gemma":0.0013650359,"teacher_disagreement_score":0.040400345,"about_ca_system_score_codex":0.00039075338,"about_ca_system_score_gemma":0.00040834956,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2474071559","doi":"10.1145/2897824.2925941","title":"The diffractive achromat full spectrum computational imaging with diffractive optics","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Energy","keywords":"Achromatic lens; Optics; Chromatic aberration; Computer science; Residual; Physics; Image quality; Point spread function; Hyperspectral imaging; Diffraction; Deconvolution; Computer vision; Artificial intelligence; Chromatic scale; Image (mathematics); Algorithm","score_opus":0.007393869934597223,"score_gpt":0.22089816208502577,"score_spread":0.21350429215042854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474071559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029055383,0.00015839924,0.9673671,0.00008844305,0.000016675807,0.000026074145,0.000043549826,0.00027330566,0.0029710243],"genre_scores_gemma":[0.15726066,0.00021115888,0.84028953,0.000058927202,0.0000071470513,0.000052596704,0.000075167765,0.00009711099,0.0019477482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972874,0.00004866882,0.000013493182,0.000041376366,0.0001476769,0.000020038628],"domain_scores_gemma":[0.99970216,0.00011346141,0.000039152554,0.000071559356,0.000054451426,0.00001916247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035005374,0.00047563575,0.00036646362,0.00038936845,0.00020605868,0.0007158547,0.0005868837,0.00040117765,0.0011381698],"category_scores_gemma":[0.000837358,0.00032407386,0.000461535,0.00041853506,0.0006056161,0.00064027397,0.0008290945,0.0005601141,0.00036590223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022318133,0.00013749803,0.002200915,0.0005178389,0.00011967028,0.00029994294,0.00030670175,0.25740284,0.43067303,0.13481037,0.0021751595,0.1711328],"study_design_scores_gemma":[0.00002039514,0.00007317613,0.00037408783,0.000018657342,0.000012240405,0.00026443574,0.000025557192,0.8854458,0.09781833,0.0090576885,0.006862759,0.00002687554],"about_ca_topic_score_codex":0.00071958784,"about_ca_topic_score_gemma":0.0013493598,"teacher_disagreement_score":0.0011381698,"about_ca_system_score_codex":0.0005239225,"about_ca_system_score_gemma":0.00066177786,"threshold_uncertainty_score":0.0038076043},"labels":[],"label_agreement":null},{"id":"W2475210682","doi":"10.1145/2897824.2925893","title":"Task-based locomotion","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Retargeting; Animation; Task (project management); Motion (physics); Motion capture; Coarticulation; Artificial intelligence; Computer vision; Character animation; Human–computer interaction; Computer animation; Computer graphics (images); Speech recognition; Engineering","score_opus":0.01657249408395428,"score_gpt":0.21679208483038123,"score_spread":0.20021959074642695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475210682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052387144,0.00032005666,0.8949693,0.00028159987,0.00013196572,0.0002064359,0.00053788454,0.0021821107,0.048983485],"genre_scores_gemma":[0.7844659,0.0005433999,0.18353933,0.0001456032,0.000037864236,0.00043770537,0.0009712404,0.0005520225,0.029306931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998605,0.00002754747,0.0000072635357,0.000039238224,0.000045245004,0.000020098038],"domain_scores_gemma":[0.99980325,0.000037612153,0.00002063102,0.00006640374,0.00003969871,0.000032425873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014851255,0.0004898527,0.00025464417,0.00016938474,0.00028896352,0.00066342193,0.0007127204,0.00070482196,0.0064679706],"category_scores_gemma":[0.00079663243,0.00021918192,0.00050827855,0.00014726273,0.00041945174,0.0005689253,0.00095830363,0.00047033117,0.0019388387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019403505,0.00016053855,0.0020460899,0.00041132924,0.00005605786,0.00041609487,0.00044165162,0.6582549,0.112417094,0.09473322,0.01078928,0.12007967],"study_design_scores_gemma":[0.000022624856,0.00014081363,0.0016019621,0.0000357675,0.000019163122,0.00026820664,0.00006706215,0.941601,0.006795453,0.021334678,0.028082082,0.000031189596],"about_ca_topic_score_codex":0.001605758,"about_ca_topic_score_gemma":0.0020467571,"teacher_disagreement_score":0.0064679706,"about_ca_system_score_codex":0.00028588975,"about_ca_system_score_gemma":0.00045905248,"threshold_uncertainty_score":0.0216375},"labels":[],"label_agreement":null},{"id":"W2497538938","doi":"10.1145/2907941","title":"A Non-Parametric Factor Microfacet Model for Isotropic BRDFs","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Bidirectional reflectance distribution function; Computer science; Rendering (computer graphics); Algorithm; Weighting; Parametric statistics; Factorization; Isotropy; Artificial intelligence; Mathematics; Reflectivity; Optics; Statistics","score_opus":0.040937405224843425,"score_gpt":0.30104788545817557,"score_spread":0.26011048023333216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2497538938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065866006,0.000049958147,0.99136823,0.00008437326,0.00002092777,0.000015220559,0.00008086959,0.00035050162,0.0014433318],"genre_scores_gemma":[0.4191864,0.00041922083,0.57226217,0.00024301696,0.00006879028,0.00020592977,0.0004339424,0.00067932566,0.0065011494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963343,0.000058725407,0.000011537655,0.00006074501,0.00020052672,0.00003501488],"domain_scores_gemma":[0.9993895,0.00019868901,0.00005088488,0.00020414546,0.00012347121,0.000033346558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000553006,0.00073763134,0.00052353035,0.00050981843,0.000245091,0.0011340685,0.0011658187,0.0012071817,0.0039107664],"category_scores_gemma":[0.0023126847,0.00035140594,0.0010561604,0.00053634436,0.0006227131,0.0017574471,0.0006930864,0.0014395398,0.00145328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010530267,0.00009609127,0.000646661,0.000121545956,0.00003319208,0.00015796094,0.00019262302,0.7283511,0.06368364,0.09492474,0.0038047684,0.10788231],"study_design_scores_gemma":[0.0000041110407,0.000012624624,0.00006914884,0.0000039135,0.0000031878008,0.000058101858,0.000006633956,0.9908111,0.0023871758,0.0051360987,0.0014980215,0.000009896376],"about_ca_topic_score_codex":0.002295779,"about_ca_topic_score_gemma":0.0023252268,"teacher_disagreement_score":0.0039107664,"about_ca_system_score_codex":0.00055955997,"about_ca_system_score_gemma":0.000665532,"threshold_uncertainty_score":0.013082862},"labels":[],"label_agreement":null},{"id":"W2549156558","doi":"10.1145/2980179.2980220","title":"Simultaneous acquisition of microscale reflectance and normals","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea; Ministerio de Economía y Competitividad","keywords":"Microscale chemistry; Specular reflection; Computer science; Scale (ratio); Data acquisition; Identification (biology); Remote sensing; Surface finish; Computer vision; Artificial intelligence; Computer graphics (images); Materials science; Optics; Geology; Cartography; Physics; Geography","score_opus":0.015156761348202541,"score_gpt":0.281253488507558,"score_spread":0.26609672715935545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549156558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5882188,0.0008860007,0.38521323,0.00027335726,0.00017968123,0.00014925447,0.0020473113,0.0063740965,0.016658347],"genre_scores_gemma":[0.78426087,0.0007893771,0.20816803,0.00014169051,0.00007917479,0.00009331516,0.0012311559,0.0006515663,0.0045849276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995179,0.00002991963,0.000016650083,0.00014068585,0.00024626442,0.00004847283],"domain_scores_gemma":[0.9995184,0.00006638445,0.00008510042,0.00011274297,0.00017260444,0.000044734654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025703438,0.0005552208,0.00044663224,0.0012078477,0.00020366568,0.0006981043,0.00034893828,0.0003719717,0.002502375],"category_scores_gemma":[0.0006872313,0.0002841842,0.00026489366,0.000805596,0.00035238315,0.00117199,0.0010518043,0.00060831127,0.0011676841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101001286,0.000049146704,0.0035439357,0.00015994058,0.000019216872,0.00011720389,0.00017297543,0.0019464685,0.9036628,0.00083358266,0.0014098792,0.08798384],"study_design_scores_gemma":[0.000031251067,0.0001990251,0.03305999,0.000045388235,0.0000614316,0.0012517981,0.00039195095,0.06971338,0.87072283,0.002818518,0.021531314,0.00017313978],"about_ca_topic_score_codex":0.0007728747,"about_ca_topic_score_gemma":0.0026504325,"teacher_disagreement_score":0.002502375,"about_ca_system_score_codex":0.00023073937,"about_ca_system_score_gemma":0.0003443517,"threshold_uncertainty_score":0.008371294},"labels":[],"label_agreement":null},{"id":"W2549445985","doi":"10.1145/2980179.2982409","title":"Structure-oriented networks of shape collections","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Pairwise comparison; Inference; Shape analysis (program analysis); Ambiguity; Computation; Algorithm; Leverage (statistics); Artificial intelligence; Mathematics; Theoretical computer science; Static analysis","score_opus":0.009169894221117735,"score_gpt":0.20421415928838915,"score_spread":0.1950442650672714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549445985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025373116,0.00017877964,0.9706317,0.00016420738,0.000019515335,0.00009390581,0.00021413452,0.00048959214,0.0028350148],"genre_scores_gemma":[0.45833683,0.00064430636,0.5305066,0.00020352632,0.00012533837,0.0006666485,0.0015198166,0.00040579893,0.0075911945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977417,0.00047657182,0.0000910059,0.00083479425,0.0006852007,0.00017069613],"domain_scores_gemma":[0.99461657,0.002113986,0.0011178448,0.0011073474,0.000749916,0.00029426374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015061845,0.0009518148,0.0010628343,0.0065092538,0.0018442457,0.002838794,0.0026759747,0.002292078,0.0044004074],"category_scores_gemma":[0.011900632,0.0013934678,0.0016715107,0.004936767,0.002360223,0.0042696916,0.004058075,0.0015742015,0.0011728723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023976137,0.00012975594,0.008284391,0.00031440868,0.00022482076,0.0008943806,0.001264959,0.51806617,0.014175003,0.28901973,0.0034672122,0.1639193],"study_design_scores_gemma":[0.000011939507,0.00004328934,0.0022651826,0.00004017677,0.000044891094,0.0002535289,0.0001610804,0.8130528,0.0030149769,0.17472522,0.0063487855,0.000038125403],"about_ca_topic_score_codex":0.005803066,"about_ca_topic_score_gemma":0.0066329767,"teacher_disagreement_score":0.0065092538,"about_ca_system_score_codex":0.0018059923,"about_ca_system_score_gemma":0.0011393039,"threshold_uncertainty_score":0.014720798},"labels":[],"label_agreement":null},{"id":"W2549722038","doi":"10.1145/2980179.2980237","title":"Functionality preserving shape style transfer","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Similarity (geometry); Salient; Context (archaeology); Metric (unit); Point (geometry); Style (visual arts); Artificial intelligence; Geometric primitive; Geometry; Mathematics; Image (mathematics)","score_opus":0.02513536056389918,"score_gpt":0.22519047922620514,"score_spread":0.20005511866230596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549722038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05040958,0.00032858827,0.9258886,0.00008759984,0.00014644129,0.0002700376,0.0004942017,0.011632691,0.010742378],"genre_scores_gemma":[0.4455567,0.00037008422,0.5340666,0.00033835354,0.000080256716,0.00033078867,0.0018376984,0.003297306,0.014122147],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928087,0.00007323887,0.000048485188,0.00020391507,0.0003170409,0.000076532204],"domain_scores_gemma":[0.9988778,0.00019359113,0.0000655153,0.0006164459,0.00018511851,0.00006143117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006690354,0.0015011901,0.0009018952,0.0013372463,0.00045678354,0.0015198613,0.0019109462,0.0012753627,0.0107762385],"category_scores_gemma":[0.0025312013,0.000508677,0.001850971,0.0007935291,0.00079614477,0.0013520765,0.0023627665,0.0010875765,0.005060776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034144378,0.00029713396,0.0024578562,0.00040845483,0.0001333115,0.00036598992,0.0004176258,0.106187,0.17669742,0.017859533,0.0091508655,0.68568337],"study_design_scores_gemma":[0.000094092175,0.00046009963,0.0019273295,0.0000542789,0.00009078543,0.0012729851,0.00022738507,0.78906006,0.13993308,0.030072607,0.036704503,0.00010276775],"about_ca_topic_score_codex":0.00084230356,"about_ca_topic_score_gemma":0.0012443727,"teacher_disagreement_score":0.0107762385,"about_ca_system_score_codex":0.00049913215,"about_ca_system_score_gemma":0.00048545236,"threshold_uncertainty_score":0.03605014},"labels":[],"label_agreement":null},{"id":"W2551551808","doi":"10.1145/2980179.2980240","title":"Gesture3D","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gesture; Computer science; Character (mathematics); Artificial intelligence; Computer vision; Perception; Projection (relational algebra); Human–computer interaction; Computer graphics (images); Mathematics","score_opus":0.016761333048677267,"score_gpt":0.21577694350080642,"score_spread":0.19901561045212915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551551808","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036873848,0.0027009998,0.4044451,0.00085961004,0.0018739582,0.0007650161,0.033285554,0.25191844,0.30046389],"genre_scores_gemma":[0.10025154,0.0036522567,0.2848987,0.002380308,0.00041659334,0.0021116654,0.115320794,0.058386937,0.43258113],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991097,0.00010415145,0.00008172814,0.0001770058,0.00041030734,0.00011716653],"domain_scores_gemma":[0.99957365,0.00006944448,0.000019821937,0.00018493945,0.00008716156,0.00006512939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005761083,0.002808016,0.0012095004,0.0012114703,0.0008932413,0.0037147666,0.0030404588,0.0026714175,0.31701168],"category_scores_gemma":[0.0017961313,0.0010885845,0.0018268845,0.0010441099,0.00076642464,0.0027025088,0.004751419,0.0020111727,0.18546617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000855106,0.00009275898,0.0007181995,0.0013093512,0.000104766725,0.00069899566,0.0004516064,0.005975366,0.02351244,0.029736869,0.56412524,0.3724193],"study_design_scores_gemma":[0.00010879689,0.00007692029,0.00056128396,0.00012613165,0.000029776309,0.0005638931,0.000101638056,0.014277412,0.009746968,0.009347514,0.96495694,0.000102741054],"about_ca_topic_score_codex":0.005314453,"about_ca_topic_score_gemma":0.008895558,"teacher_disagreement_score":0.31701168,"about_ca_system_score_codex":0.0007562649,"about_ca_system_score_gemma":0.00080590654,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2552247836","doi":"10.1145/2980179.2980226","title":"Sphere-meshes for real-time hand modeling and tracking","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Initialization; Tracking (education); Discriminative model; Polygon mesh; Embedding; Generative model; Artificial intelligence; Computer vision; Frame rate; Frame (networking); Representation (politics); Video tracking; Generative grammar; Algorithm; Computer graphics (images); Video processing","score_opus":0.03662785974230269,"score_gpt":0.2626951632727153,"score_spread":0.2260673035304126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552247836","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011823343,0.0001323357,0.9917747,0.00006992167,0.00004019693,0.000035877034,0.0003657427,0.005454693,0.00094414386],"genre_scores_gemma":[0.13603455,0.000625047,0.85138685,0.0001383084,0.000090314024,0.00044192298,0.0032202306,0.0031066802,0.004956145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988226,0.00024822936,0.00007715476,0.00022632687,0.000562075,0.00006357032],"domain_scores_gemma":[0.99848145,0.0005520114,0.00014951432,0.0004984989,0.00024303216,0.000075450655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009332088,0.0014263028,0.001108661,0.0012503488,0.00048110003,0.0015494728,0.0024192734,0.0017113767,0.011252893],"category_scores_gemma":[0.0055131107,0.001094042,0.0014868695,0.0017667986,0.00079016446,0.0015614191,0.002172022,0.0017723982,0.0075853667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000255294,0.00005775034,0.00074204867,0.0002959888,0.00010532198,0.00017926385,0.0001690798,0.6594863,0.014787085,0.03550985,0.022568198,0.26584387],"study_design_scores_gemma":[0.000011417044,0.000012619512,0.00012789294,0.000016372482,0.0000052491387,0.00005233451,0.000010279786,0.9712999,0.0035826743,0.014929874,0.009935344,0.000016113778],"about_ca_topic_score_codex":0.0068067675,"about_ca_topic_score_gemma":0.009846471,"teacher_disagreement_score":0.011252893,"about_ca_system_score_codex":0.0010978386,"about_ca_system_score_gemma":0.0010021791,"threshold_uncertainty_score":0.037644625},"labels":[],"label_agreement":null},{"id":"W2552930185","doi":"10.1145/2980179.2980223","title":"Action-driven 3D indoor scene evolution","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Naturalness; Computer science; Object (grammar); Action (physics); Artificial intelligence; Computer vision; Graph; Sequence (biology); Human–computer interaction; Theoretical computer science","score_opus":0.03580600599429647,"score_gpt":0.26511080265156645,"score_spread":0.22930479665726997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552930185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019228993,0.00008264173,0.9757117,0.00008420003,0.000038946604,0.00009011472,0.0002816006,0.0025926398,0.0018892469],"genre_scores_gemma":[0.44975078,0.00018432982,0.5438496,0.00019777194,0.000029037217,0.00027003387,0.0012676431,0.0010833549,0.003367432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966896,0.00005678769,0.000011433675,0.00010040542,0.00012935983,0.000033004017],"domain_scores_gemma":[0.99959666,0.00014106037,0.000039194816,0.00010388857,0.000072765,0.0000464114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037835355,0.0009509319,0.00072644494,0.0006698741,0.0003972699,0.0007574871,0.0020304883,0.0009304765,0.0031848336],"category_scores_gemma":[0.0012518018,0.0008390541,0.0014305149,0.00051292265,0.0008507298,0.00069454307,0.0015034432,0.0010877822,0.0007197998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006276485,0.000059911716,0.0008695909,0.00008535531,0.00005428344,0.00012290636,0.00013262632,0.937866,0.015032299,0.0062204762,0.001837248,0.037656646],"study_design_scores_gemma":[0.000005526794,0.000014147769,0.00013861901,0.000003470262,0.000004350057,0.000039509618,0.000010080117,0.9947791,0.002101399,0.0017698818,0.0011263505,0.0000075544917],"about_ca_topic_score_codex":0.007641819,"about_ca_topic_score_gemma":0.01397493,"teacher_disagreement_score":0.007641819,"about_ca_system_score_codex":0.0009864903,"about_ca_system_score_gemma":0.00071213784,"threshold_uncertainty_score":0.015194654},"labels":[],"label_agreement":null},{"id":"W2553307952","doi":"10.1145/2980179.2980238","title":"A scalable active framework for region annotation in 3D shape collections","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1289,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Information and Intelligent Systems; Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Conditional random field; Scalability; Annotation; Set (abstract data type); Salient; Artificial intelligence; Point (geometry); Feature (linguistics); Field (mathematics); Function (biology); Data mining; Machine learning; Database","score_opus":0.024358950496619527,"score_gpt":0.25002093778429246,"score_spread":0.22566198728767295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553307952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014870894,0.00012954911,0.9937568,0.00007252985,0.000015919859,0.0000623252,0.00021599747,0.0038740567,0.00038583315],"genre_scores_gemma":[0.06989254,0.00024951785,0.92284477,0.00024527183,0.00007675366,0.0004682383,0.0023902254,0.0014305897,0.0024021138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99684083,0.0006790046,0.00013111447,0.00096457975,0.001172728,0.00021179247],"domain_scores_gemma":[0.9959662,0.0017633123,0.0003254094,0.0010520124,0.00066908164,0.00022402269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004388712,0.0024249235,0.002459269,0.0034192607,0.0016829883,0.0033048294,0.009438277,0.003551019,0.004672122],"category_scores_gemma":[0.008459606,0.002348691,0.0040158816,0.0030457464,0.0027034855,0.0050016576,0.0053003132,0.0044148117,0.0031775197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047596643,0.00031781595,0.0016059716,0.00041522228,0.00023786451,0.00028451448,0.0004883862,0.5480708,0.01691661,0.03695269,0.014108354,0.3801258],"study_design_scores_gemma":[0.000016220725,0.000023778863,0.00011839918,0.000017002514,0.000012047324,0.000059849648,0.00002383326,0.9820264,0.0030291823,0.011575848,0.0030771492,0.000020242695],"about_ca_topic_score_codex":0.014855992,"about_ca_topic_score_gemma":0.02918021,"teacher_disagreement_score":0.014855992,"about_ca_system_score_codex":0.0024564213,"about_ca_system_score_gemma":0.0028911326,"threshold_uncertainty_score":0.029539049},"labels":[],"label_agreement":null},{"id":"W2554319423","doi":"10.1145/2980179.2982436","title":"Stochastic structural analysis for context-aware design and fabrication","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Israel Science Foundation; National Science Foundation","keywords":"Computer science; Fragility; Exploit; Context (archaeology); Property (philosophy); Object (grammar); Finite element method; Mathematical optimization; Measure (data warehouse); Topology (electrical circuits); Algorithm; Theoretical computer science; Artificial intelligence; Mathematics; Structural engineering; Data mining; Engineering","score_opus":0.01796567860928922,"score_gpt":0.23294490968503906,"score_spread":0.21497923107574984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554319423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003781476,0.00010236831,0.9944377,0.0000743682,0.000017002601,0.000019629015,0.00003330996,0.00021468013,0.0013194702],"genre_scores_gemma":[0.43272802,0.000700902,0.5610598,0.0001865064,0.00006755284,0.0004182889,0.00026586742,0.00037713503,0.004195928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894005,0.00026216902,0.0000416629,0.00012802651,0.0005505,0.000077581535],"domain_scores_gemma":[0.9987143,0.00071487826,0.0001598338,0.00021708227,0.00015708666,0.000036838595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011253473,0.0010848282,0.0009262471,0.0011337093,0.0005448589,0.0010960413,0.0013247315,0.001117634,0.003472238],"category_scores_gemma":[0.0036942603,0.0009177567,0.0013334036,0.0006451338,0.0012365751,0.0011228834,0.0014067984,0.0012208917,0.000608289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008279862,0.000009468469,0.00020984061,0.000043651056,0.000018691799,0.000026131942,0.000025099464,0.9578087,0.002313259,0.029599356,0.00022615794,0.009711435],"study_design_scores_gemma":[0.0000024778126,0.000008076376,0.000053835243,0.0000068571303,0.0000047552107,0.000010592603,0.000005260909,0.9813937,0.000533697,0.016909014,0.0010675977,0.00000418903],"about_ca_topic_score_codex":0.002438726,"about_ca_topic_score_gemma":0.0035875312,"teacher_disagreement_score":0.003472238,"about_ca_system_score_codex":0.0014503615,"about_ca_system_score_gemma":0.0014013094,"threshold_uncertainty_score":0.011615813},"labels":[],"label_agreement":null},{"id":"W2555439002","doi":"10.1145/2980179.2980221","title":"Birefractive stereo imaging for single-shot depth acquisition","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; Ministerio de Economía y Competitividad","keywords":"Birefringence; Optics; Single shot; Computer science; Refraction; Computer vision; Artificial intelligence; Ambiguity; Refractive index; Lens (geology); Calibration; Depth map; Computer graphics (images); Geology; Physics; Image (mathematics)","score_opus":0.02990278680143599,"score_gpt":0.2716885422619496,"score_spread":0.24178575546051362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555439002","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058182725,0.00007775316,0.99281526,0.000050645107,0.000011022203,0.000018896668,0.000017439648,0.00013133009,0.0010594224],"genre_scores_gemma":[0.23765342,0.0003852681,0.7591316,0.00009587933,0.000048547172,0.000088586145,0.00007973836,0.00016461023,0.0023522808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954045,0.0000562347,0.000009300702,0.000050590894,0.00031104143,0.000032499254],"domain_scores_gemma":[0.99955887,0.00015196354,0.0000715824,0.0000737828,0.000108108055,0.000035639274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039481136,0.00053436804,0.0003086245,0.00040849575,0.00026923776,0.000615708,0.0009640606,0.00068918616,0.002153371],"category_scores_gemma":[0.001113541,0.0003358933,0.00034447268,0.00028522,0.00046250748,0.0011196417,0.00065159914,0.00096566946,0.00041986298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012216806,0.00017247118,0.0008484205,0.00028392737,0.000031928063,0.00025166327,0.00023984171,0.15622208,0.4342847,0.11226373,0.0030584019,0.2922207],"study_design_scores_gemma":[0.000005882867,0.000054798827,0.00028095033,0.0000090985895,0.000005307778,0.00022938504,0.000018569124,0.9583528,0.032631528,0.0054442175,0.0029492327,0.000018185947],"about_ca_topic_score_codex":0.0026560414,"about_ca_topic_score_gemma":0.0051981215,"teacher_disagreement_score":0.0026560414,"about_ca_system_score_codex":0.00086132076,"about_ca_system_score_gemma":0.0010185554,"threshold_uncertainty_score":0.0072037578},"labels":[],"label_agreement":null},{"id":"W2569534636","doi":"10.1145/3072959.2990495","title":"Antialiasing Complex Global Illumination Effects in Path-Space","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"National Science Foundation","keywords":"Path (computing); Global illumination; Computer science; Radiance; Context (archaeology); Filter (signal processing); Computer vision; Fourier transform; Algorithm; Space (punctuation); Artificial intelligence; Topology (electrical circuits); Mathematics; Optics; Physics; Mathematical analysis; Geology","score_opus":0.026837618802682154,"score_gpt":0.30686319713513616,"score_spread":0.280025578332454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569534636","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013755048,0.000040411116,0.9843828,0.000026249412,0.000016902102,0.000012216672,0.000023332888,0.00079899636,0.00094402273],"genre_scores_gemma":[0.30877295,0.00025287416,0.68461895,0.00007998754,0.00003649796,0.000055925047,0.00019069258,0.0011667041,0.0048254193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984086,0.000020757969,0.0000037679326,0.000026511085,0.000086925174,0.000021095217],"domain_scores_gemma":[0.99955505,0.00016110066,0.000058168338,0.000110248606,0.000092263945,0.00002315993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002861728,0.00078887906,0.0003706918,0.0004226632,0.0002349189,0.00094233174,0.0006632275,0.0004507255,0.0026873425],"category_scores_gemma":[0.0013213985,0.00032451164,0.00057618297,0.00029205202,0.0005002565,0.0010623306,0.00075553986,0.0010630307,0.0008340839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016595708,0.00009566874,0.0021911091,0.00016025596,0.00006516381,0.00021215588,0.00039301658,0.48090142,0.14392334,0.05282724,0.004025426,0.31503916],"study_design_scores_gemma":[0.0000068749055,0.000028036522,0.00042814057,0.000008096687,0.000010828522,0.00012137952,0.0000248225,0.96289814,0.024303712,0.007829559,0.004324867,0.00001558748],"about_ca_topic_score_codex":0.0021759558,"about_ca_topic_score_gemma":0.0034972846,"teacher_disagreement_score":0.0026873425,"about_ca_system_score_codex":0.0004481816,"about_ca_system_score_gemma":0.00064643024,"threshold_uncertainty_score":0.008990049},"labels":[],"label_agreement":null},{"id":"W2597430783","doi":"10.1145/3072959.3009907","title":"Domain of Attraction Expansion for Physics-Based Character Control","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Character (mathematics); Computer science; Domain (mathematical analysis); Attraction; Controller (irrigation); Control (management); Algorithm; Parsing; Control theory (sociology); Mathematics; Artificial intelligence; Mathematical analysis; Geometry","score_opus":0.03033854666031896,"score_gpt":0.2642496434047837,"score_spread":0.23391109674446472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597430783","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026891217,0.0002883635,0.9672538,0.00013633544,0.000035384764,0.0000366818,0.000029538529,0.00061357353,0.0047151055],"genre_scores_gemma":[0.7810407,0.00025812848,0.21540038,0.00011589955,0.000036044876,0.00018175955,0.000087260596,0.00014407985,0.0027356993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976236,0.00007188638,0.000011298573,0.000042076565,0.00008471514,0.0000276102],"domain_scores_gemma":[0.9992557,0.00049427385,0.000043600066,0.000090967114,0.00007279347,0.00004265389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004607453,0.00035358183,0.0005218462,0.00044300937,0.00040595207,0.00049934036,0.00062603666,0.0005038528,0.002964755],"category_scores_gemma":[0.0018389785,0.00028063793,0.00037739697,0.0002664817,0.00067043485,0.0009342684,0.0012170236,0.0010811259,0.00040478908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111591035,0.00007038684,0.00037154363,0.00007878908,0.000016423177,0.00006512922,0.00010466645,0.8831588,0.013935956,0.038465526,0.0012888709,0.06233222],"study_design_scores_gemma":[0.000006386359,0.000024163339,0.000050176157,0.000004860006,0.0000016151911,0.00001490878,0.000009557729,0.99063,0.0010925081,0.007035277,0.0011259224,0.0000047544877],"about_ca_topic_score_codex":0.0011445016,"about_ca_topic_score_gemma":0.0010377221,"teacher_disagreement_score":0.002964755,"about_ca_system_score_codex":0.00043458163,"about_ca_system_score_gemma":0.00035751605,"threshold_uncertainty_score":0.009918153},"labels":[],"label_agreement":null},{"id":"W2605060370","doi":"10.1145/3130800.3130891","title":"Learning to predict indoor illumination from a single image","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":332,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Nvidia","keywords":"Computer science; Artificial intelligence; Computer vision; High dynamic range; Classifier (UML); High-dynamic-range imaging; Artificial neural network; Light field; Deep learning; Range (aeronautics); Image-based lighting; Global illumination; Deep neural networks; Field (mathematics); Computer graphics (images); Image (mathematics); Image processing; Dynamic range; Rendering (computer graphics); Mathematics","score_opus":0.0204952666595602,"score_gpt":0.27084924516339537,"score_spread":0.2503539785038352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605060370","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0349725,0.00012436132,0.9580426,0.000072297946,0.000042840995,0.000037211033,0.00030984115,0.004462145,0.0019362017],"genre_scores_gemma":[0.5041875,0.00036527935,0.48816243,0.0002071103,0.00008264294,0.00009914864,0.0016281153,0.0005036158,0.0047641136],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997626,0.000020435366,0.0000052169576,0.00011483361,0.0000657016,0.000031201544],"domain_scores_gemma":[0.99975723,0.000044297405,0.000033216384,0.000070970906,0.00007609639,0.000018198527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023105572,0.00087940844,0.0005804512,0.00068021036,0.00017698226,0.00061189936,0.0009437137,0.00043594048,0.0021788348],"category_scores_gemma":[0.0008762705,0.0005248652,0.0006420173,0.00041656636,0.00030099033,0.0009517563,0.00071304984,0.0010968309,0.0015523317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027847572,0.00027557753,0.005163557,0.00014685796,0.00014419475,0.000114029266,0.00010640684,0.254634,0.10706175,0.0019974366,0.0070018205,0.62307596],"study_design_scores_gemma":[0.0000082886245,0.00003491439,0.0021161677,0.000011046056,0.000016843673,0.00006456896,0.000014317471,0.973435,0.021545608,0.00122199,0.0015178185,0.000013468759],"about_ca_topic_score_codex":0.0033557012,"about_ca_topic_score_gemma":0.009652897,"teacher_disagreement_score":0.0033557012,"about_ca_system_score_codex":0.00048198726,"about_ca_system_score_gemma":0.00052614295,"threshold_uncertainty_score":0.0072889924},"labels":[],"label_agreement":null},{"id":"W2612337108","doi":"10.1145/3072959.2983617","title":"Programmable 2D Arrangements for Element Texture Design","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Scripting language; Operator (biology); Set (abstract data type); Simple (philosophy); Element (criminal law); Variety (cybernetics); Range (aeronautics); Theoretical computer science; Programming language; Artificial intelligence; Engineering","score_opus":0.07051989335923896,"score_gpt":0.33994930208242435,"score_spread":0.2694294087231854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612337108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010515697,0.000137374,0.977821,0.000059314843,0.000065648346,0.000051706025,0.00005936272,0.00088135904,0.010408605],"genre_scores_gemma":[0.15544005,0.0002629177,0.83614916,0.00008599969,0.0000304518,0.00018911804,0.00016814847,0.00056739803,0.007106714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965715,0.00006516018,0.00002032612,0.000060603932,0.00016109452,0.00003558168],"domain_scores_gemma":[0.99976057,0.00008494418,0.000024500696,0.000069828544,0.000039108712,0.000021057163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002546223,0.0005696553,0.00027964145,0.0005058846,0.0003326699,0.00092845125,0.0006691435,0.00040925172,0.0067566116],"category_scores_gemma":[0.0006432269,0.00034896488,0.00047987417,0.00033946373,0.0007120235,0.0008950219,0.0009281284,0.00067891186,0.0015888512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016885181,0.00007431957,0.0007870359,0.0005076128,0.0000310658,0.00035691034,0.00073241355,0.09325924,0.28332776,0.31226084,0.007088516,0.30140543],"study_design_scores_gemma":[0.00008597356,0.00032352092,0.0005853739,0.000099585945,0.000031423224,0.00104467,0.00021877902,0.46597037,0.17597476,0.10511745,0.2504523,0.000095914824],"about_ca_topic_score_codex":0.00021992445,"about_ca_topic_score_gemma":0.0004886134,"teacher_disagreement_score":0.0067566116,"about_ca_system_score_codex":0.00035360258,"about_ca_system_score_gemma":0.0002619582,"threshold_uncertainty_score":0.022603095},"labels":[],"label_agreement":null},{"id":"W2612843093","doi":"10.1145/3072959.3073637","title":"GRASS","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":314,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Google; National Natural Science Foundation of China; Qualcomm; National Science Foundation","keywords":"Computer science; Hierarchy; Encoding (memory); Context (archaeology); Adjacency list; Key (lock); Pipeline (software); Topology (electrical circuits); Interpolation (computer graphics); Code (set theory); Matching (statistics); Artificial intelligence; Net (polyhedron); Theoretical computer science; Algorithm; Geometry; Image (mathematics); Mathematics; Set (abstract data type)","score_opus":0.026216190739441158,"score_gpt":0.2509840160724924,"score_spread":0.22476782533305123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612843093","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009861009,0.0023619125,0.37717056,0.004740198,0.0037914694,0.00040876487,0.007849557,0.01663369,0.5771828],"genre_scores_gemma":[0.17255476,0.0041341004,0.2249895,0.005002121,0.0011846379,0.00061487075,0.019773422,0.0050403345,0.5667063],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937975,0.00006958149,0.000034123346,0.00021423982,0.00021334314,0.000088910565],"domain_scores_gemma":[0.99955326,0.000052465144,0.000026074898,0.00013552175,0.00015334557,0.000079222875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043052263,0.0009850421,0.0005406564,0.0009438175,0.0013272188,0.002922334,0.0019463864,0.0018435409,0.19075699],"category_scores_gemma":[0.0016133976,0.00047231634,0.00083701056,0.0007886307,0.0007081686,0.0029606856,0.0030107757,0.0018464625,0.09092769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019799473,0.00011696103,0.0019329442,0.00049371604,0.00005307902,0.0006175737,0.00034393615,0.010710566,0.011285304,0.20540838,0.2434852,0.5253544],"study_design_scores_gemma":[0.000026718593,0.00006516703,0.00074329274,0.0001251753,0.000021788412,0.0005310868,0.000115042705,0.02213204,0.0043926267,0.05827927,0.91352373,0.000044143777],"about_ca_topic_score_codex":0.0038042373,"about_ca_topic_score_gemma":0.005411161,"teacher_disagreement_score":0.19075699,"about_ca_system_score_codex":0.0011381372,"about_ca_system_score_gemma":0.0015017636,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2724314443","doi":"10.1145/3072959.3092817","title":"Co-Locating Style-Defining Elements on 3D Shapes","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Color perception and design","field":"Psychology","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Style (visual arts); Set (abstract data type); Discriminative model; Computer science; Variety (cybernetics); Selection (genetic algorithm); Artificial intelligence; Style analysis; Pattern recognition (psychology); Geography","score_opus":0.07813963579146364,"score_gpt":0.3790163807634357,"score_spread":0.30087674497197203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724314443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035774436,0.00013783168,0.9606983,0.00005617657,0.000023625847,0.000085141466,0.00016721463,0.00187499,0.0011823879],"genre_scores_gemma":[0.28218165,0.00020505168,0.7134965,0.00012395391,0.000043274587,0.00019373286,0.00095818425,0.0006056688,0.0021919778],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854654,0.00014527918,0.000053190626,0.00059108366,0.00049541774,0.00016840712],"domain_scores_gemma":[0.99810034,0.0004675885,0.00020547764,0.00063487864,0.00045877503,0.00013299001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081814517,0.0011258096,0.0015962837,0.003394,0.0007491516,0.0016600231,0.0020529325,0.0014101241,0.0024123313],"category_scores_gemma":[0.003638069,0.00083924836,0.001694504,0.0031389587,0.0012443585,0.001667387,0.0028751418,0.001588458,0.0017955259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060189125,0.00027520477,0.012282608,0.00032596212,0.00017141225,0.00038370403,0.0014338546,0.05950285,0.15800959,0.013608042,0.0051211766,0.7482837],"study_design_scores_gemma":[0.000027187296,0.00014700188,0.006532092,0.000045153003,0.0000636887,0.00084997906,0.00033762693,0.9138556,0.054884706,0.014395349,0.008790985,0.00007051135],"about_ca_topic_score_codex":0.003722317,"about_ca_topic_score_gemma":0.0076591456,"teacher_disagreement_score":0.003722317,"about_ca_system_score_codex":0.0007508519,"about_ca_system_score_gemma":0.0009970636,"threshold_uncertainty_score":0.008069992},"labels":[],"label_agreement":null},{"id":"W2733512699","doi":"10.1145/3072959.3073674","title":"Facial retargeting with automatic range of motion alignment","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea; Deutsche Forschungsgemeinschaft","keywords":"Retargeting; Computer science; Animation; Character animation; Facial motion capture; Artificial intelligence; Computer facial animation; Computer animation; Computer vision; Character (mathematics); Skeletal animation; Motion capture; Range (aeronautics); Computer graphics (images); Motion (physics); Polygon mesh; Pattern recognition (psychology); Facial recognition system; Mathematics; Face detection","score_opus":0.02607977643080836,"score_gpt":0.2548486290940474,"score_spread":0.22876885266323901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733512699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021470862,0.00010496685,0.9726494,0.00007384058,0.00006274692,0.00008459457,0.000055992783,0.0029744396,0.0025230804],"genre_scores_gemma":[0.40273443,0.00027738273,0.5828827,0.00021989526,0.00006725657,0.00021665866,0.00047468417,0.0014487477,0.0116783045],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941695,0.00007462093,0.000022908172,0.0002157106,0.00020919714,0.000060689414],"domain_scores_gemma":[0.9995591,0.00011169426,0.000048404563,0.00017871293,0.000065703636,0.000036381876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049778895,0.0009124424,0.00081097253,0.0007498472,0.00031087326,0.00054657174,0.0010591279,0.0007729215,0.0041430867],"category_scores_gemma":[0.0019487177,0.0004965849,0.0006921115,0.0004196065,0.0006051989,0.0007355336,0.0015955209,0.0011844898,0.002197805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003018719,0.00011512915,0.00076551567,0.000113686874,0.00004189008,0.0002833859,0.00040763378,0.14213406,0.17619778,0.0068235,0.0054935263,0.667322],"study_design_scores_gemma":[0.00003127323,0.00016343534,0.000825276,0.000020383673,0.000023460303,0.0004638825,0.00008787061,0.9270046,0.056124505,0.0070109796,0.008209308,0.00003505647],"about_ca_topic_score_codex":0.0016515739,"about_ca_topic_score_gemma":0.0024214135,"teacher_disagreement_score":0.0041430867,"about_ca_system_score_codex":0.00039547207,"about_ca_system_score_gemma":0.00049925345,"threshold_uncertainty_score":0.013859987},"labels":[],"label_agreement":null},{"id":"W2735138796","doi":"10.1145/3186564","title":"Natural Boundary Conditions for Smoothing in Geometry Processing","year":2018,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Connaught Fund; National Science Foundation","keywords":"Hessian matrix; Smoothing; Boundary (topology); Mathematics; Laplace operator; Interpolation (computer graphics); Laplacian matrix; Geometry processing; Geometry; Polygon mesh; Boundary value problem; Shape optimization; Mathematical analysis; Smoothness; Norm (philosophy); Applied mathematics; Mathematical optimization; Computer science; Finite element method; Physics; Artificial intelligence","score_opus":0.017089053400033843,"score_gpt":0.29652985407346205,"score_spread":0.2794408006734282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735138796","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063140485,0.00034577976,0.98693967,0.00042378795,0.00010878109,0.000036454796,0.000073668874,0.0003233579,0.005434479],"genre_scores_gemma":[0.26560163,0.0010209742,0.71799904,0.00065549125,0.0003260965,0.00031022832,0.00051828113,0.0015562534,0.012012054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842703,0.00044096666,0.00009365284,0.00028184828,0.00065471313,0.000101716316],"domain_scores_gemma":[0.9967546,0.0016588066,0.00025584505,0.000553227,0.000631893,0.00014566898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021375124,0.0009315938,0.00073808664,0.001285843,0.0009881817,0.0023229534,0.0012124261,0.002223224,0.0075892126],"category_scores_gemma":[0.013517288,0.0005761731,0.0008328434,0.00085132295,0.0026799468,0.003493773,0.0025263268,0.0025031464,0.0020199183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009846154,0.000052358595,0.0005353131,0.00025971534,0.000022531227,0.0001497964,0.00028449643,0.10013268,0.018289484,0.8081605,0.0059142234,0.06610048],"study_design_scores_gemma":[0.000021694887,0.000052151387,0.00038406032,0.000070718066,0.000010258714,0.00017702706,0.00007069763,0.5707345,0.008972231,0.40220016,0.017260619,0.000045822984],"about_ca_topic_score_codex":0.0016398965,"about_ca_topic_score_gemma":0.0015803191,"teacher_disagreement_score":0.0075892126,"about_ca_system_score_codex":0.0008452872,"about_ca_system_score_gemma":0.000878357,"threshold_uncertainty_score":0.02538848},"labels":[],"label_agreement":null},{"id":"W2736651773","doi":"10.1145/3072959.3073669","title":"Dynamics-aware numerical coarsening for fabrication design","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Jump; Graphics; Range (aeronautics); Fabrication; Computer graphics; Simulation; Contact dynamics; Creatures; Robot; Computer graphics (images); Artificial intelligence; Mechanics; Aerospace engineering; Engineering","score_opus":0.03893882278420976,"score_gpt":0.2798197320287468,"score_spread":0.24088090924453706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736651773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01951255,0.00025776986,0.97041774,0.00014259985,0.00007359343,0.000073696465,0.000064905784,0.0010893345,0.008367841],"genre_scores_gemma":[0.46378067,0.00037517076,0.53162986,0.00011140638,0.000027683835,0.0002634346,0.00016699503,0.000480748,0.0031639913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997502,0.000051472733,0.000012447518,0.000030023491,0.00013104397,0.000024758907],"domain_scores_gemma":[0.9995235,0.00021200912,0.000049217713,0.00012118895,0.00006477176,0.00002923072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039748146,0.0005239205,0.0004837204,0.00043567043,0.0004390809,0.0006872945,0.00071234483,0.0006080661,0.0037332117],"category_scores_gemma":[0.0017930245,0.00039510804,0.00042455588,0.0002492394,0.00058293476,0.00058026094,0.00089963415,0.0008759663,0.0005381495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024680598,0.00002135231,0.00035043844,0.00007021313,0.000014050248,0.000042037518,0.000057319132,0.9446869,0.012260439,0.014580794,0.0007123349,0.02717945],"study_design_scores_gemma":[0.0000067809433,0.000009039702,0.000056742254,0.0000066924263,0.0000021796402,0.000010494531,0.000005730874,0.99188834,0.0018627555,0.003966616,0.002179944,0.000004631409],"about_ca_topic_score_codex":0.0025419064,"about_ca_topic_score_gemma":0.0031119122,"teacher_disagreement_score":0.0037332117,"about_ca_system_score_codex":0.00062520214,"about_ca_system_score_gemma":0.0008914036,"threshold_uncertainty_score":0.012488842},"labels":[],"label_agreement":null},{"id":"W2736761533","doi":"10.1145/3072959.3073632","title":"BendSketch","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Key Research and Development Program of China; Microsoft","keywords":"Curvature; Sketch; Computer science; Surface (topology); Field (mathematics); Algorithm; Construct (python library); Boundary (topology); Sequence (biology); Geometry; Artificial intelligence; Mathematics; Mathematical analysis","score_opus":0.041136971578183835,"score_gpt":0.3215245312209812,"score_spread":0.2803875596427973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736761533","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005929653,0.0069709746,0.25537688,0.0025724159,0.002961318,0.00052471424,0.021302152,0.13539633,0.5689656],"genre_scores_gemma":[0.05553112,0.008125483,0.122831665,0.0014272932,0.0006910208,0.00093017257,0.03337982,0.04469504,0.7323883],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858814,0.00014720319,0.00009793912,0.0004319373,0.0005924571,0.00014226513],"domain_scores_gemma":[0.99864084,0.00034323084,0.00008051039,0.00048567087,0.00024461575,0.0002051643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009501649,0.002473556,0.0017364078,0.0032137611,0.001484109,0.0045912107,0.0023488295,0.003214864,0.59730613],"category_scores_gemma":[0.0031705406,0.0015162901,0.001677047,0.0021558292,0.001043907,0.0044286954,0.006346967,0.0034039274,0.48902604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004979903,0.00017004211,0.00091987307,0.0012394848,0.000066782275,0.00057424424,0.00026543264,0.0069150543,0.008428336,0.04687181,0.2732375,0.66081345],"study_design_scores_gemma":[0.0001166447,0.00008320835,0.00050309865,0.0002649963,0.000028208426,0.0006734734,0.000062764295,0.009530923,0.0059714057,0.021019982,0.9616626,0.00008273186],"about_ca_topic_score_codex":0.0018315346,"about_ca_topic_score_gemma":0.0018349035,"teacher_disagreement_score":0.59730613,"about_ca_system_score_codex":0.0008997271,"about_ca_system_score_gemma":0.0014171124,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2737163862","doi":"10.1145/3072959.3073612","title":"Time slice video synthesis by robust video alignment","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Image stitching; Computer science; Compositing; Computer vision; Artificial intelligence; Video tracking; Object (grammar); Computer graphics (images); View synthesis; Image (mathematics)","score_opus":0.022545372942342698,"score_gpt":0.24777933261717003,"score_spread":0.22523395967482734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737163862","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049005314,0.00007636635,0.9922414,0.00003629981,0.00004473405,0.000043514847,0.00005556952,0.0011572503,0.0014443283],"genre_scores_gemma":[0.083480455,0.00022160303,0.9118846,0.00008068515,0.00007105394,0.00011693161,0.0002720147,0.0006776569,0.0031951112],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946004,0.000076267796,0.000028202623,0.00014627735,0.00024253511,0.0000466471],"domain_scores_gemma":[0.9994307,0.00014814145,0.000101955266,0.00014982154,0.000125553,0.000043793036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005130779,0.0010518698,0.00065696775,0.0008328644,0.0003013872,0.000988273,0.0008266538,0.00069144496,0.0049209297],"category_scores_gemma":[0.001861,0.00047951518,0.00074033625,0.00069660065,0.0005414462,0.0009349136,0.0015641175,0.0010674731,0.0023967456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047118132,0.00010898984,0.00063916924,0.00025292032,0.00008123068,0.00035108175,0.00035110887,0.10095212,0.42655262,0.02128366,0.0063644154,0.44259152],"study_design_scores_gemma":[0.000066369365,0.0002569514,0.0006018243,0.000040224008,0.00004048837,0.0006039534,0.00012601793,0.67906874,0.28153554,0.010505917,0.027071172,0.000082861516],"about_ca_topic_score_codex":0.0009634078,"about_ca_topic_score_gemma":0.0010847879,"teacher_disagreement_score":0.0049209297,"about_ca_system_score_codex":0.000334719,"about_ca_system_score_gemma":0.00048420735,"threshold_uncertainty_score":0.016462147},"labels":[],"label_agreement":null},{"id":"W2737265682","doi":"10.1145/3072959.3073634","title":"Bounce maps","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Coefficient of restitution; Restitution; Computer science; Rigid body; Computer graphics; Function (biology); Scalar (mathematics); Constant (computer programming); Algorithm; Mathematics; Geometry; Computer graphics (images); Physics; Classical mechanics; Law","score_opus":0.014168295050895044,"score_gpt":0.22279541553754098,"score_spread":0.20862712048664594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737265682","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0124357045,0.00010350345,0.97755516,0.000101447615,0.00008723915,0.000055931698,0.00020615611,0.001611015,0.007843916],"genre_scores_gemma":[0.5828471,0.00046803383,0.39419648,0.00021073245,0.00009636348,0.00026369808,0.00071368844,0.0020330762,0.019170826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999549,0.00005677394,0.000016804413,0.00008599278,0.000239561,0.000051940693],"domain_scores_gemma":[0.9992254,0.00021870338,0.00007149726,0.0002254982,0.00018459471,0.00007426248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004692457,0.0010689354,0.00069509563,0.0013568372,0.0008155035,0.001675306,0.001836754,0.0011925804,0.0087775905],"category_scores_gemma":[0.0034511841,0.0006921382,0.000868544,0.00073018076,0.0007942281,0.0019854305,0.002771042,0.0013564683,0.0019346946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035266372,0.00012246962,0.0029103153,0.00029299737,0.00010766991,0.00056521036,0.0006622129,0.62404084,0.037374973,0.15406074,0.012199521,0.16731037],"study_design_scores_gemma":[0.000013779294,0.00003310579,0.0003533817,0.000020106216,0.000018446226,0.00017198652,0.000042010986,0.9618,0.0075635575,0.013206524,0.016735427,0.00004167074],"about_ca_topic_score_codex":0.0039702365,"about_ca_topic_score_gemma":0.003833263,"teacher_disagreement_score":0.0087775905,"about_ca_system_score_codex":0.0006868293,"about_ca_system_score_gemma":0.00077088247,"threshold_uncertainty_score":0.02936393},"labels":[],"label_agreement":null},{"id":"W2737368828","doi":"10.1145/3072959.3073601","title":"Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":308,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; McGill University","keywords":"Computer science; Rendering (computer graphics); Monte Carlo method; Artificial intelligence; Pixel; Deep learning; Global illumination; Noise reduction; Computer vision; Autoencoder; Iterative reconstruction; Algorithm; Mathematics","score_opus":0.04336275536813264,"score_gpt":0.3371669764392153,"score_spread":0.2938042210710826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737368828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070442487,0.000035968482,0.9910555,0.00006633045,0.000019258492,0.000015342204,0.000025552557,0.0009975123,0.00074027403],"genre_scores_gemma":[0.20874095,0.00010656739,0.7876365,0.000107021224,0.000029330275,0.00006507262,0.00016649855,0.00041919292,0.0027289449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997482,0.00004958418,0.000011150809,0.000042692252,0.00012483998,0.000023520577],"domain_scores_gemma":[0.9995017,0.00020357616,0.000044432116,0.00012728272,0.0000854249,0.000037594753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058671,0.0005238471,0.00051716866,0.00035704908,0.00025590733,0.0006209642,0.0011029405,0.00091470254,0.0027393445],"category_scores_gemma":[0.0020159474,0.0005053313,0.00067668164,0.0002941565,0.0005392437,0.00065756874,0.00082222966,0.0013789521,0.0006926721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012819805,0.000071142604,0.0007623659,0.000067921654,0.000077604476,0.0001636972,0.0001223998,0.85021114,0.035449605,0.0142276175,0.0017593311,0.09695897],"study_design_scores_gemma":[0.0000023162117,0.0000044925696,0.000029662357,0.0000018702275,0.0000016433332,0.000016601762,0.0000018992301,0.9963967,0.0024352237,0.00073533814,0.00037168243,0.0000025962493],"about_ca_topic_score_codex":0.0056354706,"about_ca_topic_score_gemma":0.010006704,"teacher_disagreement_score":0.0056354706,"about_ca_system_score_codex":0.00069098186,"about_ca_system_score_gemma":0.000701775,"threshold_uncertainty_score":0.011205316},"labels":[],"label_agreement":null},{"id":"W2737392844","doi":"10.1145/3072959.3073690","title":"Playful palette","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Palette (painting); Painting; Computer science; Computer graphics (images); Intuition; Visual arts; Art; Creativity; Cognitive science; Psychology","score_opus":0.03703426354744986,"score_gpt":0.31036700052930427,"score_spread":0.2733327369818544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737392844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05344287,0.0012407679,0.82802683,0.00074756664,0.00075568724,0.0011431536,0.0018447391,0.04264777,0.070150614],"genre_scores_gemma":[0.33324948,0.0013468608,0.56035566,0.0017548075,0.00027895946,0.0026522023,0.002672417,0.00766422,0.09002546],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951696,0.00009592551,0.000024941279,0.00008544234,0.00020282406,0.000074029274],"domain_scores_gemma":[0.99890316,0.0005225962,0.000045651796,0.00018968071,0.000149803,0.00018912238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066452107,0.0012755054,0.0005222091,0.00085526885,0.0005917783,0.0019214033,0.0022267173,0.001045613,0.057265207],"category_scores_gemma":[0.0034070087,0.0005072085,0.00071450823,0.00031899795,0.00090013404,0.0027005703,0.003484936,0.0013578719,0.005958275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030850829,0.0010782826,0.0030899826,0.002871897,0.00014664166,0.0020561297,0.008128212,0.011253597,0.16665928,0.07481707,0.09847027,0.62834346],"study_design_scores_gemma":[0.0005550437,0.0012896626,0.004903403,0.000777782,0.00017097159,0.0028356279,0.0011176608,0.09448363,0.0865674,0.04508664,0.7618243,0.0003879873],"about_ca_topic_score_codex":0.00057789095,"about_ca_topic_score_gemma":0.0011126954,"teacher_disagreement_score":0.057265207,"about_ca_system_score_codex":0.0002704789,"about_ca_system_score_gemma":0.0004118793,"threshold_uncertainty_score":0.19157118},"labels":[],"label_agreement":null},{"id":"W2737627651","doi":"10.1145/3072959.3073630","title":"A multi-scale model for simulating liquid-hair interactions","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Coalescence (physics); Drag; Mechanics; Representation (politics); Computer science; Biological system; Physics","score_opus":0.0842678129412321,"score_gpt":0.37149804332135206,"score_spread":0.28723023038011997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737627651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09358175,0.00035789266,0.890251,0.0005855099,0.00013725158,0.00011620109,0.0002882705,0.0007696448,0.013912458],"genre_scores_gemma":[0.83939594,0.0005076069,0.14599863,0.00024311339,0.00007583656,0.0004010371,0.00026527556,0.00024405887,0.012868526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998939,0.000020604084,0.000005164641,0.000020921647,0.00004347785,0.00001598102],"domain_scores_gemma":[0.999848,0.000049257782,0.000020949774,0.000022893086,0.000025908332,0.000032963624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014725726,0.0003709412,0.00045399187,0.00038817024,0.00055511924,0.0008267089,0.0012128876,0.0014219744,0.0031426582],"category_scores_gemma":[0.0006650251,0.0003836089,0.00071168225,0.00035345124,0.0006161245,0.000974976,0.001066286,0.00084760337,0.000509826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020551217,0.000026965008,0.00029788353,0.00002474788,0.0000103990305,0.0000979684,0.00006370858,0.9738816,0.008451442,0.0126594165,0.0004638447,0.004001497],"study_design_scores_gemma":[0.0000046905257,0.0000069726125,0.000038675076,0.0000015099262,0.0000017204442,0.000007725857,0.000004510774,0.9983537,0.00020742747,0.00087599724,0.0004941749,0.000002906035],"about_ca_topic_score_codex":0.0072820317,"about_ca_topic_score_gemma":0.0053548017,"teacher_disagreement_score":0.0072820317,"about_ca_system_score_codex":0.00075148896,"about_ca_system_score_gemma":0.0009343103,"threshold_uncertainty_score":0.0144792795},"labels":[],"label_agreement":null},{"id":"W2737820799","doi":"10.1145/3072959.3073619","title":"Design and volume optimization of space structures","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Google; Nvidia; National Science Foundation","keywords":"Mathematical optimization; Computer science; Soundness; Relaxation (psychology); Integer programming; Bilinear interpolation; Optimization problem; Linear programming; Nonlinear programming; Sequential quadratic programming; Space (punctuation); Algorithm; Quadratic programming; Mathematics; Nonlinear system","score_opus":0.014209841750953904,"score_gpt":0.22604972511809177,"score_spread":0.21183988336713785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737820799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02133268,0.0002373321,0.9729082,0.00016412069,0.00003362607,0.000038706174,0.00004019949,0.00014988933,0.0050951126],"genre_scores_gemma":[0.5321441,0.0005525363,0.45952865,0.00013832243,0.00006318017,0.00035873044,0.00017795642,0.0002939999,0.00674249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959034,0.0001243475,0.00001126139,0.00006951614,0.00015933983,0.000045220786],"domain_scores_gemma":[0.9994369,0.00031481517,0.00007116644,0.000055522407,0.0000783604,0.000043201817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007652693,0.00095456705,0.00080792734,0.0008898141,0.00039215895,0.0011432725,0.0009162137,0.0011247805,0.0026754376],"category_scores_gemma":[0.0021062214,0.00066176243,0.0006297922,0.00049249653,0.001386324,0.0013061141,0.0015295888,0.0010036353,0.00057007954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002996093,0.000026854037,0.0002212574,0.000066518216,0.000014745281,0.00004102499,0.00004416164,0.93767905,0.005189468,0.034510687,0.0005382981,0.021637928],"study_design_scores_gemma":[0.000011039633,0.000075225806,0.000058465746,0.000008550086,0.000004973295,0.000026430498,0.000017821507,0.9795328,0.0018136933,0.016481454,0.0019624599,0.0000070755864],"about_ca_topic_score_codex":0.00063310884,"about_ca_topic_score_gemma":0.0008166746,"teacher_disagreement_score":0.0026754376,"about_ca_system_score_codex":0.00077210914,"about_ca_system_score_gemma":0.0009026135,"threshold_uncertainty_score":0.008950233},"labels":[],"label_agreement":null},{"id":"W2738545246","doi":"10.1145/3072959.3073686","title":"Epipolar time-of-flight imaging","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Advanced Research Projects Agency; Defense Advanced Research Projects Agency; University of Toronto; National Aeronautics and Space Administration","keywords":"Epipolar geometry; Artificial intelligence; Specular reflection; Computer vision; Computer science; Robustness (evolution); Robotics; Optics; Computer graphics (images); Physics; Image (mathematics); Robot","score_opus":0.014144099845870712,"score_gpt":0.27095380543802444,"score_spread":0.2568097055921537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738545246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021277403,0.0002933189,0.96261066,0.0001875938,0.000062793406,0.000058043563,0.0005369199,0.0007566061,0.014216716],"genre_scores_gemma":[0.2883634,0.0013651823,0.6922894,0.00025076608,0.00010180419,0.00009861819,0.0013464221,0.0004271056,0.015757265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999461,0.000055008288,0.00001542324,0.000120623874,0.00029908872,0.000049006867],"domain_scores_gemma":[0.99960846,0.000056128476,0.00005875755,0.00009386278,0.00015751697,0.000025238118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023216693,0.00060053583,0.00033613128,0.000723859,0.00028511588,0.00082804763,0.0006645322,0.00062832184,0.00840939],"category_scores_gemma":[0.0009299013,0.0003637943,0.00036290148,0.00079190906,0.00035321628,0.001235209,0.00088517845,0.00069894537,0.002322959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002897233,0.00013044359,0.0017192784,0.00035838477,0.00011376591,0.0004271993,0.00033473637,0.03330729,0.5384095,0.037028253,0.015713975,0.37216747],"study_design_scores_gemma":[0.00005107288,0.00028371764,0.008558704,0.0000689496,0.00007024786,0.00299006,0.0002458542,0.4781898,0.3999297,0.013989302,0.09547828,0.00014429024],"about_ca_topic_score_codex":0.0013739307,"about_ca_topic_score_gemma":0.0028802333,"teacher_disagreement_score":0.00840939,"about_ca_system_score_codex":0.00039726176,"about_ca_system_score_gemma":0.00046993102,"threshold_uncertainty_score":0.0281322},"labels":[],"label_agreement":null},{"id":"W2738928398","doi":"10.1145/3072959.3073625","title":"Power diagrams and sparse paged grids for high resolution adaptive liquids","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Octree; Computer science; Adaptive mesh refinement; Multigrid method; Computational science; Algorithm; Discretization; Mathematics; Mathematical analysis","score_opus":0.039450655620790816,"score_gpt":0.29595906480351125,"score_spread":0.25650840918272044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738928398","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013109613,0.0001305981,0.98235565,0.00016043021,0.000040249015,0.000028119413,0.00007346088,0.0005951708,0.0035067021],"genre_scores_gemma":[0.29249048,0.00041390557,0.7019308,0.0001459187,0.000037226924,0.000182488,0.00026267645,0.00043835538,0.004098113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998437,0.000042402382,0.0000073418587,0.000017750712,0.00007512007,0.000013630309],"domain_scores_gemma":[0.99971074,0.00011717286,0.000028299963,0.00008196156,0.000034675195,0.000027234997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020947226,0.00030818523,0.00033390464,0.0003987274,0.0003659293,0.00089522405,0.0007688008,0.0005806501,0.0024204336],"category_scores_gemma":[0.001282052,0.00026698445,0.0003699499,0.00038610207,0.0006111131,0.001110717,0.0012318727,0.00096264126,0.0007535819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000710957,0.000042631174,0.00080351596,0.00010307279,0.000017014188,0.00026065766,0.00017059788,0.6149736,0.025257938,0.29445332,0.0030249755,0.06082149],"study_design_scores_gemma":[0.000009498982,0.000012467175,0.00005666995,0.000007663374,0.0000019160118,0.000043267093,0.000012265007,0.95419437,0.003482223,0.036152426,0.0060199536,0.0000072528323],"about_ca_topic_score_codex":0.0013717153,"about_ca_topic_score_gemma":0.001616429,"teacher_disagreement_score":0.0024204336,"about_ca_system_score_codex":0.0004646161,"about_ca_system_score_gemma":0.00063181436,"threshold_uncertainty_score":0.008097112},"labels":[],"label_agreement":null},{"id":"W2739171131","doi":"10.1145/3072959.3073628","title":"Variational stokes","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Grid; Rope; Computer science; Stokes flow; Animation; Boundary value problem; Viscosity; Instability; Surface (topology); GRASP; Regular grid; Viscous liquid; Surface tension; Mechanics; Applied mathematics; Mathematics; Mathematical optimization; Mathematical analysis; Algorithm; Physics; Computer graphics (images); Geometry; Flow (mathematics)","score_opus":0.03816720098698942,"score_gpt":0.3135893229984616,"score_spread":0.2754221220114722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739171131","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006418954,0.00073815504,0.9406624,0.00089806435,0.00045634902,0.000103761,0.00044687587,0.00043359605,0.049841937],"genre_scores_gemma":[0.29403546,0.0024532205,0.5910563,0.0010972266,0.0008200991,0.00047421575,0.001314502,0.001462131,0.107286826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938023,0.0001273049,0.00002966513,0.000119018776,0.00027196814,0.000071767754],"domain_scores_gemma":[0.9995105,0.000120982055,0.000049160546,0.00009659734,0.00016359195,0.000059043083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069161464,0.00089813187,0.0007860397,0.0010629421,0.0010225606,0.0022818227,0.0016855636,0.001373384,0.01329228],"category_scores_gemma":[0.002183137,0.0006046889,0.0013199935,0.00062691735,0.0013721518,0.0017809635,0.0033801093,0.0018565713,0.003239789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021416847,0.000022271824,0.00049023726,0.000110877605,0.000026750591,0.00008195109,0.00019056561,0.06159331,0.0052004047,0.8839218,0.009074594,0.03926582],"study_design_scores_gemma":[0.00002447786,0.000031263084,0.00022884509,0.000041961455,0.000012133644,0.00016641612,0.00005757888,0.66112936,0.002245487,0.2614297,0.07459954,0.000033257682],"about_ca_topic_score_codex":0.004653519,"about_ca_topic_score_gemma":0.004242951,"teacher_disagreement_score":0.01329228,"about_ca_system_score_codex":0.0012510475,"about_ca_system_score_gemma":0.0017107959,"threshold_uncertainty_score":0.04446709},"labels":[],"label_agreement":null},{"id":"W2739330054","doi":"10.1145/3072959.3073602","title":"DeepLoco","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":512,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Terrain; Reinforcement learning; Exploit; Robustness (evolution); Artificial intelligence; Variety (cybernetics); Controller (irrigation); Control engineering; Engineering","score_opus":0.019498528473969923,"score_gpt":0.23786280096276527,"score_spread":0.21836427248879534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739330054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024171863,0.0018019727,0.83407134,0.0013053266,0.0010554196,0.00024507468,0.007053333,0.06537371,0.06492204],"genre_scores_gemma":[0.37759084,0.0014722637,0.4989471,0.0020951114,0.00026068502,0.00070607156,0.023515267,0.005754097,0.089658536],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998363,0.000015451296,0.000008023553,0.000058240497,0.000042960193,0.00003903156],"domain_scores_gemma":[0.99979824,0.000040075247,0.000014654714,0.00006777732,0.00005053864,0.000028737613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002827575,0.0007791337,0.0004332846,0.0003834972,0.00035183685,0.0010612113,0.0014092684,0.00087361987,0.027666813],"category_scores_gemma":[0.0009501925,0.00031736563,0.00045128269,0.00037887585,0.0003433226,0.0015478492,0.001306052,0.0012266969,0.010564964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062387885,0.00024866906,0.002081489,0.00053161656,0.000103599516,0.00027638607,0.00010585461,0.10001854,0.015474156,0.034847714,0.17079009,0.67489797],"study_design_scores_gemma":[0.00008886082,0.0001305345,0.0006952004,0.000070926195,0.000028355425,0.00016074479,0.000048068152,0.81698966,0.013044764,0.036357623,0.1323525,0.00003280406],"about_ca_topic_score_codex":0.004284972,"about_ca_topic_score_gemma":0.008327879,"teacher_disagreement_score":0.027666813,"about_ca_system_score_codex":0.00059276953,"about_ca_system_score_gemma":0.0008608806,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2739421143","doi":"10.1145/3072959.3073639","title":"FlowRep","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Descriptive geometry; Curvature; Computer science; Surface (topology); Polygon mesh; Computer graphics; Geometry; Computer graphics (images); Isotropy; Graphics; Similarity (geometry); Artificial intelligence; Mathematics; Image (mathematics); Physics","score_opus":0.03900963481026498,"score_gpt":0.3174028681974122,"score_spread":0.2783932333871472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739421143","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031030416,0.0002843343,0.953876,0.00015126968,0.00014648311,0.00021361659,0.0016967506,0.032450046,0.008078341],"genre_scores_gemma":[0.046366576,0.00043703645,0.9191482,0.00031366464,0.00009522817,0.00042079738,0.011566186,0.0069184005,0.014733974],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993345,0.00004645945,0.000042398497,0.00020786682,0.00029633025,0.00007249596],"domain_scores_gemma":[0.9992816,0.00017771593,0.000053828895,0.00021946516,0.00022340754,0.000044019922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063164154,0.0019440147,0.0010584424,0.0029367746,0.0010894611,0.0030743699,0.003227877,0.0019285834,0.03871092],"category_scores_gemma":[0.0038041146,0.0011295269,0.0017660528,0.0017110646,0.00080209656,0.0034974674,0.0027778759,0.0017403946,0.018964326],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002329757,0.000097453834,0.0012099023,0.00047786415,0.00009870382,0.00024329526,0.00024958342,0.03782909,0.007461762,0.03302972,0.07853055,0.8405391],"study_design_scores_gemma":[0.00010359388,0.00014358436,0.0007720747,0.00013383459,0.00004370406,0.0006169592,0.00018762435,0.71855456,0.018987354,0.06754392,0.19283418,0.000078622164],"about_ca_topic_score_codex":0.003862815,"about_ca_topic_score_gemma":0.006459807,"teacher_disagreement_score":0.03871092,"about_ca_system_score_codex":0.0009261594,"about_ca_system_score_gemma":0.0013048676,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2739475613","doi":"10.1145/3072959.3073693","title":"Dip transform for 3D shape reconstruction","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Visibility; Computer vision; Displacement (psychology); Artificial intelligence; Computer science; Surface reconstruction; Representation (politics); Volume (thermodynamics); Line (geometry); Feature (linguistics); Object (grammar); Surface (topology); Optics; Computer graphics (images); Geometry; Mathematics; Physics","score_opus":0.037378045091010274,"score_gpt":0.3105118293607509,"score_spread":0.2731337842697406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739475613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003087119,0.00012787456,0.9951023,0.00005906973,0.00001853845,0.000020729374,0.000110438705,0.00076966075,0.00070426293],"genre_scores_gemma":[0.10494724,0.0005539537,0.8906874,0.00014481207,0.000042410917,0.00009756477,0.0009223031,0.00044670035,0.002157635],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994831,0.00006374791,0.000019914612,0.000071535345,0.0003310797,0.000030604962],"domain_scores_gemma":[0.9994685,0.00018478654,0.00004720789,0.00016290754,0.00010787584,0.000028777438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003619534,0.0006654381,0.00049091515,0.001131675,0.00022292421,0.0009294518,0.0008914465,0.0008857256,0.004178373],"category_scores_gemma":[0.001563939,0.00054011866,0.0007340711,0.0011695264,0.000571621,0.0010157393,0.0013886179,0.0015738575,0.0024658132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028020126,0.00008176827,0.0009105209,0.00036701775,0.00008751422,0.000340822,0.00025414568,0.08522132,0.15529272,0.029585198,0.007029676,0.72054905],"study_design_scores_gemma":[0.000026590724,0.00007040048,0.00062474085,0.000023865112,0.000017824166,0.00080319325,0.000062364765,0.9034767,0.06841709,0.011303387,0.015128047,0.000045713445],"about_ca_topic_score_codex":0.0010472793,"about_ca_topic_score_gemma":0.0010259676,"teacher_disagreement_score":0.004178373,"about_ca_system_score_codex":0.0003826596,"about_ca_system_score_gemma":0.0005371404,"threshold_uncertainty_score":0.013978064},"labels":[],"label_agreement":null},{"id":"W2750455213","doi":"10.1145/3072959.3073613","title":"Deformation-driven shape correspondence via shape recognition","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"China Scholarship Council","keywords":"Computer science; Context (archaeology); Adjacency list; Interpolation (computer graphics); Shape analysis (program analysis); Artificial intelligence; Topology (electrical circuits); Pipeline (software); Matching (statistics); Encoding (memory); Hierarchy; Code (set theory); Algorithm; Image (mathematics); Mathematics; Set (abstract data type)","score_opus":0.03405458382702734,"score_gpt":0.2510620643164713,"score_spread":0.217007480489444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750455213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009648445,0.0002650366,0.9827299,0.00009460323,0.000041411076,0.00014628825,0.00015785705,0.005461211,0.0014552032],"genre_scores_gemma":[0.22080551,0.00039632348,0.7708267,0.00035921537,0.00008256617,0.00025983015,0.0013864369,0.0016889422,0.004194466],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959508,0.00047975415,0.00019091956,0.0013099348,0.0017788323,0.00028966754],"domain_scores_gemma":[0.99570787,0.0010389928,0.00053557137,0.0019659786,0.0005664335,0.0001851572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024805723,0.0020277982,0.0036495586,0.0047956766,0.0010989833,0.0034347696,0.0066574374,0.0032584853,0.0077908984],"category_scores_gemma":[0.00609742,0.0014867279,0.0036034966,0.0040316447,0.002786356,0.0048063733,0.0055271024,0.0027534112,0.0047412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003566422,0.00024312676,0.002360952,0.00036997636,0.0002795126,0.00020845812,0.00031013638,0.23595515,0.038796585,0.03248445,0.0054636635,0.6831714],"study_design_scores_gemma":[0.000024700457,0.00013104691,0.0008361446,0.000031567546,0.000038524962,0.00028684732,0.00009093817,0.9325467,0.022590818,0.038353287,0.0050029205,0.00006658027],"about_ca_topic_score_codex":0.0042978777,"about_ca_topic_score_gemma":0.0052523874,"teacher_disagreement_score":0.0077908984,"about_ca_system_score_codex":0.0019774823,"about_ca_system_score_gemma":0.0016223505,"threshold_uncertainty_score":0.026063144},"labels":[],"label_agreement":null},{"id":"W2760578557","doi":"10.1145/3292480","title":"Functional Characterization of Deformation Fields","year":2019,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"King Abdullah University of Science and Technology","keywords":"Pointwise; Deformation (meteorology); Representation (politics); Curvilinear coordinates; Operator (biology); Computer science; Field (mathematics); Distortion (music); Computation; Free-form deformation; Mathematics; Geometry; Algorithm; Mathematical analysis; Pure mathematics; Physics","score_opus":0.021140997182519123,"score_gpt":0.21319443642304367,"score_spread":0.19205343924052454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760578557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012435194,0.00014984593,0.9828095,0.00018999382,0.0000639736,0.000029078035,0.00007679806,0.00012894708,0.004116783],"genre_scores_gemma":[0.652473,0.0011410771,0.327746,0.0003785598,0.00048754932,0.00021955911,0.00057371415,0.0006409785,0.01633968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990631,0.00021722913,0.000071747025,0.00025766404,0.00031328402,0.00007712432],"domain_scores_gemma":[0.9986745,0.00034683634,0.00021668375,0.00029678454,0.00032795366,0.0001372825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016367198,0.00089238427,0.00058501255,0.0024694614,0.0005982347,0.0020032905,0.0011394302,0.001483447,0.004788234],"category_scores_gemma":[0.0031013668,0.00033006837,0.0008090629,0.0009568485,0.0024037815,0.00405626,0.0019415407,0.0018010056,0.0009489287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025556814,0.000029750136,0.00038160957,0.00008991384,0.000011839115,0.000110446344,0.00016179212,0.030283917,0.011649107,0.9129853,0.00114876,0.043121904],"study_design_scores_gemma":[0.000009611524,0.00010581195,0.0006457643,0.00004884375,0.000014831185,0.00052804814,0.00014259222,0.41539612,0.006747134,0.55777395,0.018537326,0.00004993162],"about_ca_topic_score_codex":0.00042328594,"about_ca_topic_score_gemma":0.00025800077,"teacher_disagreement_score":0.004788234,"about_ca_system_score_codex":0.0008319094,"about_ca_system_score_gemma":0.00050318183,"threshold_uncertainty_score":0.016018212},"labels":[],"label_agreement":null},{"id":"W2768431869","doi":"10.1145/3130800.3130884","title":"DeepToF","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"H2020 European Research Council; Defense Advanced Research Projects Agency; Ministerio de Economía y Competitividad; Korea Creative Content Agency; National Research Foundation of Korea; Gobierno de Aragón; European Commission","keywords":"Process (computing); Set (abstract data type); Convolution (computer science); Synthetic data; Convolutional neural network; Key (lock); Interference (communication); Basis (linear algebra); Encoder","score_opus":0.026129799884402078,"score_gpt":0.29340266806962406,"score_spread":0.267272868185222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768431869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012493139,0.006612565,0.7700145,0.0026605404,0.0019486549,0.0003816651,0.018633505,0.051113926,0.13614148],"genre_scores_gemma":[0.27758184,0.009163887,0.44608635,0.004281199,0.0005690668,0.0010754842,0.07456525,0.00754619,0.17913076],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994985,0.000042530275,0.000028303404,0.00017835325,0.000142077,0.00011028853],"domain_scores_gemma":[0.9996425,0.000066364206,0.000024759003,0.00011232818,0.00012601246,0.000028002672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051803037,0.0016522753,0.0008049706,0.00085777434,0.0007187425,0.002754971,0.0026372683,0.001758813,0.069584765],"category_scores_gemma":[0.0016878134,0.0006513539,0.0010830439,0.0008812156,0.0005857786,0.0036991707,0.002459723,0.0024174857,0.03822463],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027116726,0.0001565615,0.001276542,0.00080129487,0.0001497282,0.0003555867,0.00017058811,0.04008195,0.011177369,0.070818156,0.19583945,0.6789017],"study_design_scores_gemma":[0.00007953842,0.00014024679,0.0008857587,0.0002812932,0.00007973132,0.00053476397,0.00015327922,0.38403437,0.020022573,0.13271415,0.46099916,0.000075059965],"about_ca_topic_score_codex":0.004892488,"about_ca_topic_score_gemma":0.008110185,"teacher_disagreement_score":0.069584765,"about_ca_system_score_codex":0.0010998358,"about_ca_system_score_gemma":0.0015242782,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2768622779","doi":"10.1145/3130800.3130881","title":"Metasilicone","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Materials science; Silicone; Stiffness; Composite material; Fabrication; Material properties; Material Design; Elastomer; Sensitivity (control systems); Composite number; Computer science","score_opus":0.02576855276064468,"score_gpt":0.2572821178500364,"score_spread":0.23151356508939172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768622779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6731969,0.0035649063,0.26153877,0.00042621643,0.0002829696,0.00018266882,0.0011026742,0.0023213753,0.05738354],"genre_scores_gemma":[0.8411778,0.00092303654,0.1450124,0.00013203177,0.000023006718,0.00013717561,0.0004895377,0.0002764604,0.011828491],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985504,0.000007071176,0.0000080170785,0.000029790303,0.00008435825,0.000015737976],"domain_scores_gemma":[0.99988544,0.000021771968,0.000034924844,0.000029837496,0.000016019309,0.000012046646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013052588,0.00036848444,0.00018314678,0.0002432623,0.00019191306,0.00033102953,0.0004418285,0.00036930013,0.0033998343],"category_scores_gemma":[0.00021151577,0.0002516343,0.0003095731,0.00018708789,0.00017765211,0.00045877206,0.00036292154,0.00046315577,0.0011605876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005094323,0.000029267685,0.000276535,0.00024630182,0.000014174486,0.00014008768,0.000036134323,0.004723572,0.9695877,0.0042035608,0.0005473092,0.020144427],"study_design_scores_gemma":[0.000013452812,0.00017272722,0.00042837491,0.000016275062,0.00001090524,0.00031534614,0.000010100926,0.011703488,0.96403086,0.000693762,0.022592645,0.000012042956],"about_ca_topic_score_codex":0.00013933389,"about_ca_topic_score_gemma":0.00043114956,"teacher_disagreement_score":0.0033998343,"about_ca_system_score_codex":0.00028205774,"about_ca_system_score_gemma":0.00017710126,"threshold_uncertainty_score":0.011373639},"labels":[],"label_agreement":null},{"id":"W2768964249","doi":"10.1145/3130800.3130896","title":"Compact single-shot hyperspectral imaging using a prism","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Hyperspectral imaging; Coded aperture; Computer vision; Computer science; Artificial intelligence; Prism; Optics; Projection (relational algebra); Spectral imaging; Full spectral imaging; Perspective (graphical); Lens (geology); Dispersion (optics); Physics; Algorithm; Detector","score_opus":0.04519796970407036,"score_gpt":0.27169311202070495,"score_spread":0.2264951423166346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768964249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037812058,0.00042319152,0.9559047,0.00015482723,0.000052219042,0.000055222197,0.00019998066,0.0010447525,0.0043530627],"genre_scores_gemma":[0.19905773,0.0005279349,0.79691607,0.000104920284,0.00003099288,0.00007551166,0.00031046988,0.00014480186,0.0028315731],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995378,0.00004791285,0.00001509531,0.000117857686,0.0002549049,0.000026428543],"domain_scores_gemma":[0.9996166,0.00010397597,0.0000626354,0.00010238292,0.00007761558,0.00003675795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003386495,0.0006352573,0.00048745476,0.00034744365,0.00020368531,0.0007406083,0.0011338876,0.00061808806,0.0017172719],"category_scores_gemma":[0.00058303645,0.000572357,0.00052405085,0.0003639964,0.00050510495,0.001409436,0.0012096514,0.0008705478,0.000815495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010883663,0.00007615795,0.00044466517,0.00031035527,0.000040849718,0.00018067902,0.00013422419,0.033967044,0.8876638,0.008831656,0.0013719109,0.06686988],"study_design_scores_gemma":[0.000032140677,0.00014889034,0.00082961214,0.000028498423,0.000022751996,0.00068922836,0.000055488683,0.681391,0.30649716,0.0027194605,0.0075021046,0.00008369246],"about_ca_topic_score_codex":0.0011130393,"about_ca_topic_score_gemma":0.0017584682,"teacher_disagreement_score":0.0017172719,"about_ca_system_score_codex":0.000514764,"about_ca_system_score_gemma":0.00068076776,"threshold_uncertainty_score":0.005744815},"labels":[],"label_agreement":null},{"id":"W2769265803","doi":"10.1145/3130800.3130814","title":"Interactive wood combustion for botanical tree models","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Bundesministerium für Bildung und Forschung; King Abdullah University of Science and Technology; Stanford University; National Science Foundation","keywords":"Combustion; Tree (set theory); Charring; Computer science; Biological system; Particle (ecology); Branching (polymer chemistry); Simulation; Materials science; Mathematics; Chemistry; Geology; Composite material","score_opus":0.057347614661657255,"score_gpt":0.3349419422013262,"score_spread":0.27759432753966895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769265803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055278316,0.00027277204,0.9313062,0.00014777134,0.000091257025,0.00006430342,0.00026289982,0.0031648267,0.0094117485],"genre_scores_gemma":[0.47004747,0.0003571365,0.520996,0.00009944845,0.000048388796,0.00012600006,0.00050400215,0.0013780083,0.0064435904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998105,0.00003082093,0.000007768406,0.000032622822,0.00009782129,0.00002049951],"domain_scores_gemma":[0.99975425,0.0001273953,0.00001895752,0.000047241974,0.000026908785,0.000025222645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033011308,0.0005697102,0.0005441886,0.00042583465,0.000555083,0.0009863818,0.0013281673,0.0009002858,0.0052993307],"category_scores_gemma":[0.0007544804,0.00038378523,0.0008876574,0.00040945603,0.00040270688,0.0007743011,0.0011370671,0.0008774883,0.00062895095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001956629,0.0001370322,0.001679459,0.00024195499,0.000065353364,0.00044503968,0.00038586056,0.8332925,0.05728684,0.035719335,0.0045634797,0.06598749],"study_design_scores_gemma":[0.0000113669885,0.0000068401287,0.00009063198,0.0000060379875,0.000003269749,0.0000427876,0.000012392761,0.9908857,0.003113075,0.0024133427,0.0034071472,0.0000074660657],"about_ca_topic_score_codex":0.0031610136,"about_ca_topic_score_gemma":0.00595943,"teacher_disagreement_score":0.0052993307,"about_ca_system_score_codex":0.0005417079,"about_ca_system_score_gemma":0.000570066,"threshold_uncertainty_score":0.01772803},"labels":[],"label_agreement":null},{"id":"W2769743662","doi":"10.1145/3130800.3130846","title":"Fast gaze-contingent optimal decompositions for multifocal displays","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Rendering (computer graphics); Accommodation; Eye tracking; Testbed; Vergence (optics); Focus (optics); Computer graphics (images)","score_opus":0.023494095804947004,"score_gpt":0.28813781030812347,"score_spread":0.2646437145031765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769743662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025624344,0.00018749807,0.97117573,0.00010861309,0.000031683056,0.00003748016,0.00010687496,0.00076916296,0.0019586934],"genre_scores_gemma":[0.23191957,0.00020385205,0.7638958,0.00007227158,0.0000229097,0.00009435191,0.00034035367,0.00040196296,0.0030488835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999772,0.00004132216,0.000012151856,0.000027052689,0.000113105896,0.00003430939],"domain_scores_gemma":[0.999549,0.00019816014,0.00004737198,0.00006309711,0.00009320196,0.00004919677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043858122,0.00071226305,0.00051727763,0.00048139773,0.00035440817,0.00076550414,0.0006181965,0.0005461145,0.004791309],"category_scores_gemma":[0.0021665248,0.00035980006,0.0005319075,0.00034073927,0.00034780524,0.00073678617,0.0013771206,0.0011129191,0.00089341716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007030064,0.00016169202,0.002077043,0.00033927595,0.00009198193,0.00027297385,0.00071455643,0.34509972,0.122673035,0.06041526,0.011448499,0.45600292],"study_design_scores_gemma":[0.000021847069,0.00002619514,0.00021872806,0.000012937962,0.0000042587144,0.000039688675,0.000037734313,0.9835427,0.0053850785,0.008493502,0.0022064978,0.000010877197],"about_ca_topic_score_codex":0.0029856053,"about_ca_topic_score_gemma":0.0055168034,"teacher_disagreement_score":0.004791309,"about_ca_system_score_codex":0.00073273585,"about_ca_system_score_gemma":0.0006610621,"threshold_uncertainty_score":0.016028583},"labels":[],"label_agreement":null},{"id":"W2769969171","doi":"10.1145/3130800.3130823","title":"BigSUR","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; 3D city models; Parsing; Facade; Polygon mesh; Scale (ratio); Data mining; Artificial intelligence; Computer graphics (images); Visualization; Cartography; Geography","score_opus":0.024857908202139192,"score_gpt":0.26582503561606247,"score_spread":0.2409671274139233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769969171","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009289846,0.0030826614,0.22229367,0.002861768,0.0017993012,0.00067429896,0.11268312,0.42487234,0.22244301],"genre_scores_gemma":[0.0990873,0.0034043982,0.23381543,0.0042284946,0.0005563939,0.001860618,0.45629284,0.07588898,0.12486563],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983341,0.0002112296,0.00010833195,0.0003760497,0.0007266543,0.0002436751],"domain_scores_gemma":[0.99813217,0.00026784453,0.000092495764,0.0009020308,0.00041633873,0.00018914897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016087573,0.0019430028,0.0013281388,0.0017544323,0.0015063895,0.0045143506,0.00427204,0.0020239574,0.13384213],"category_scores_gemma":[0.0051228562,0.0012750438,0.0021955203,0.002528196,0.0009545248,0.0062046046,0.0066629956,0.0023957791,0.113140866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007585361,0.00010112271,0.0021107655,0.00087729126,0.00013611116,0.00028372376,0.00044137027,0.005528653,0.0054942123,0.04725666,0.7925475,0.14446406],"study_design_scores_gemma":[0.00013534067,0.000079336656,0.0011571946,0.00013271812,0.00006066106,0.00025887345,0.00016136329,0.019306324,0.008368353,0.0449851,0.925255,0.00009970244],"about_ca_topic_score_codex":0.004169951,"about_ca_topic_score_gemma":0.0057538818,"teacher_disagreement_score":0.13384213,"about_ca_system_score_codex":0.0010041858,"about_ca_system_score_gemma":0.0017985249,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2770113520","doi":"10.1145/3130800.3130810","title":"High-quality hyperspectral reconstruction using a spectral prior","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":319,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Hyperspectral imaging; Computer science; Full spectral imaging; Autoencoder; Artificial intelligence; Interpolation (computer graphics); Computer vision; Iterative reconstruction; Encoder; Image resolution; Pattern recognition (psychology); Compressed sensing; Image (mathematics); Deep learning","score_opus":0.05182652129691619,"score_gpt":0.2948478148856421,"score_spread":0.2430212935887259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770113520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010818075,0.000052537773,0.9871553,0.00015303683,0.000015348223,0.000015042078,0.000062493884,0.00031745853,0.0014107445],"genre_scores_gemma":[0.1532189,0.0001805181,0.84346527,0.00012751146,0.00004080104,0.00004241411,0.00029137227,0.00011224143,0.0025209435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997683,0.00003758105,0.000008042979,0.000050542716,0.00011537258,0.000020261452],"domain_scores_gemma":[0.9996414,0.00009040761,0.000051595496,0.000112977716,0.00007558508,0.000028002643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004024931,0.00053668494,0.00033342018,0.00030387827,0.00022515921,0.00056272733,0.00059708435,0.0007402608,0.0017513369],"category_scores_gemma":[0.0010901308,0.00030428008,0.00034972554,0.00033100837,0.00059926964,0.0011131449,0.0011905682,0.0012289241,0.00081856706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024704137,0.00013953295,0.0013353307,0.0002087122,0.00007206527,0.0002022557,0.00017536561,0.44494182,0.20579353,0.034724317,0.005277567,0.30688247],"study_design_scores_gemma":[0.000012420908,0.000025995212,0.0002727107,0.00000878449,0.0000063868133,0.00011292667,0.000012606095,0.96382076,0.029661113,0.003388508,0.002664385,0.0000133667],"about_ca_topic_score_codex":0.0014432913,"about_ca_topic_score_gemma":0.0026726376,"teacher_disagreement_score":0.0017513369,"about_ca_system_score_codex":0.0002928109,"about_ca_system_score_gemma":0.00069542695,"threshold_uncertainty_score":0.005858779},"labels":[],"label_agreement":null},{"id":"W2770212906","doi":"10.1145/3130800.3130841","title":"Learning to group discrete graphical patterns","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Measure (data warehouse); Computer science; Granularity; Feature (linguistics); Artificial intelligence; Element (criminal law); Convolutional neural network; Pattern recognition (psychology); Noise (video); Encoding (memory); Context (archaeology); Key (lock); Deep learning; Group (periodic table); Theoretical computer science; Machine learning; Data mining; Image (mathematics)","score_opus":0.01649311156644022,"score_gpt":0.25199158003174654,"score_spread":0.2354984684653063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770212906","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03464843,0.00024670173,0.9586356,0.00034753198,0.000053788113,0.00008906173,0.000543127,0.0022094797,0.0032262793],"genre_scores_gemma":[0.4422522,0.00031711315,0.5481349,0.0004102499,0.00006121111,0.00023752058,0.0026651106,0.00028988285,0.0056318142],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991443,0.00014126356,0.00004675932,0.00038715446,0.00020074577,0.00007972012],"domain_scores_gemma":[0.99881446,0.0002973367,0.00021880514,0.00041226775,0.00015531092,0.000101799356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063096016,0.0009487447,0.0007720403,0.0015799257,0.0004351253,0.0011793419,0.001474103,0.00112094,0.0040373257],"category_scores_gemma":[0.00372045,0.0005437842,0.0010707068,0.0013673746,0.0011154313,0.0026889993,0.0019611435,0.0015039273,0.0012602636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016500511,0.00024488088,0.007500963,0.00045868076,0.00016815335,0.00016677017,0.00042707086,0.20305522,0.016853401,0.062131766,0.011881145,0.69694686],"study_design_scores_gemma":[0.000022298293,0.0001415837,0.0013707629,0.00006198969,0.000033972115,0.00011323025,0.00009460786,0.87450767,0.005387124,0.11033693,0.007908262,0.00002158623],"about_ca_topic_score_codex":0.0024000441,"about_ca_topic_score_gemma":0.0062815687,"teacher_disagreement_score":0.0040373257,"about_ca_system_score_codex":0.00092342077,"about_ca_system_score_gemma":0.00067893707,"threshold_uncertainty_score":0.013506174},"labels":[],"label_agreement":null},{"id":"W2770305773","doi":"10.1145/3130800.3130811","title":"Learning to predict part mobility from a single static snapshot","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Snapshot (computer storage); Computer science; Artificial intelligence; Motion (physics); Computer vision; Object (grammar)","score_opus":0.04716985089233217,"score_gpt":0.27618668670577834,"score_spread":0.22901683581344617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770305773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032128982,0.00013585831,0.96648294,0.00006225756,0.000023922306,0.000025128145,0.00014208435,0.0007312108,0.00026764045],"genre_scores_gemma":[0.6813334,0.00037029744,0.3141067,0.000101584315,0.000053304426,0.00019067852,0.0013735231,0.00016675983,0.002303699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999788,0.000026003088,0.000011809799,0.00009729696,0.00005216595,0.000024756962],"domain_scores_gemma":[0.9995548,0.00013473882,0.000058919362,0.0001214496,0.00008622322,0.000043870587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003596149,0.0008814574,0.00083342684,0.0008391796,0.00027954843,0.0005394812,0.0014459436,0.00093359925,0.0012294749],"category_scores_gemma":[0.002141833,0.0005912545,0.00076005684,0.000843168,0.0006042571,0.0015392262,0.00093146594,0.0010380632,0.00059930846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018250039,0.000114732655,0.0060423436,0.0001011875,0.000099247685,0.00018651207,0.000101440935,0.69589883,0.022034118,0.0052595534,0.0029167803,0.26706275],"study_design_scores_gemma":[0.000002873985,0.00002845913,0.00051715435,0.000004953442,0.0000054224734,0.000036918736,0.00000940633,0.99465996,0.002072865,0.0022648347,0.00039034322,0.0000068239146],"about_ca_topic_score_codex":0.0047063953,"about_ca_topic_score_gemma":0.005791707,"teacher_disagreement_score":0.0047063953,"about_ca_system_score_codex":0.0006271244,"about_ca_system_score_gemma":0.0007307025,"threshold_uncertainty_score":0.009357989},"labels":[],"label_agreement":null},{"id":"W2770331385","doi":"10.1145/3130800.3130830","title":"Online generative model personalization for hand tracking","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Computer science; Workflow; Tracking (education); Generative model; Personalization; Frame (networking); Key frame; Artificial intelligence; Computer vision; Session (web analytics); Novelty; Key (lock); Motion (physics); Software; Generative grammar; Database","score_opus":0.07691448432311974,"score_gpt":0.3007052913103499,"score_spread":0.22379080698723014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770331385","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027272126,0.00017792106,0.99364316,0.00006742735,0.000030206122,0.000021577585,0.00010236947,0.0022379474,0.0009921091],"genre_scores_gemma":[0.34829196,0.00075978896,0.6323248,0.0006393437,0.00023819233,0.00032428186,0.0018733536,0.002425471,0.013122899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986922,0.00022340272,0.000054919863,0.0005477401,0.00035889624,0.00012287401],"domain_scores_gemma":[0.9982564,0.00074477465,0.00012399907,0.00061274774,0.00017481671,0.000087286026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011935163,0.0017680327,0.0018939495,0.0016194092,0.00076385186,0.0016726562,0.002351231,0.0018875278,0.0072318125],"category_scores_gemma":[0.005009331,0.001476937,0.0020526582,0.0017938516,0.0011212775,0.0018503785,0.00306106,0.0027195287,0.0044389903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001719849,0.0000995695,0.0014620167,0.000110122,0.00014477113,0.00018781931,0.0002303059,0.6093986,0.010563216,0.012745797,0.008820823,0.35606498],"study_design_scores_gemma":[0.000008741759,0.000010178017,0.00014703601,0.000008515381,0.000011791503,0.00007865326,0.000009366794,0.9897494,0.0015152703,0.0065580835,0.0018904147,0.00001257406],"about_ca_topic_score_codex":0.009889735,"about_ca_topic_score_gemma":0.022976965,"teacher_disagreement_score":0.009889735,"about_ca_system_score_codex":0.0013691572,"about_ca_system_score_gemma":0.0012065115,"threshold_uncertainty_score":0.02419281},"labels":[],"label_agreement":null},{"id":"W2770392468","doi":"10.1145/3130800.3130825","title":"Sketch-based implicit blending","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Centre International de Mathématiques et Informatique de Toulouse; Agence Nationale de la Recherche; McGill University","keywords":"Computer science; Sketch; Operator (biology); Process (computing); Function (biology); Domain (mathematical analysis); Algorithm; Artificial intelligence; Theoretical computer science; Mathematics; Programming language","score_opus":0.02589174894425687,"score_gpt":0.26072439486115073,"score_spread":0.23483264591689387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770392468","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004584264,0.00007427807,0.99152035,0.000023576062,0.000032832788,0.00003595057,0.00003938214,0.0011947368,0.0024946528],"genre_scores_gemma":[0.2055472,0.00032833952,0.77793765,0.00007668282,0.000038494323,0.00011991408,0.00029530798,0.0012449499,0.014411551],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902666,0.000116181014,0.00004994839,0.00019189605,0.00056168047,0.000053750537],"domain_scores_gemma":[0.9990189,0.00029132568,0.00006794975,0.00041086914,0.00015462394,0.00005627901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000982071,0.0010271868,0.0008331434,0.0011039759,0.00042811356,0.001963938,0.0017240463,0.0010649104,0.0117223505],"category_scores_gemma":[0.0034416527,0.000790827,0.0012675324,0.00078688614,0.0010958757,0.0025200406,0.0030752716,0.0012480054,0.0030009728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026288105,0.00010008479,0.000925111,0.0005470756,0.000100777936,0.0003652087,0.0009196441,0.2503601,0.087361775,0.11436582,0.004407784,0.5402838],"study_design_scores_gemma":[0.000036146397,0.00008038065,0.00019374499,0.000037445658,0.000032128824,0.00033769672,0.0000838278,0.89864504,0.038951825,0.031567518,0.029991113,0.000043120166],"about_ca_topic_score_codex":0.00067323993,"about_ca_topic_score_gemma":0.0010549874,"teacher_disagreement_score":0.0117223505,"about_ca_system_score_codex":0.00040918775,"about_ca_system_score_gemma":0.00041983818,"threshold_uncertainty_score":0.039215207},"labels":[],"label_agreement":null},{"id":"W2770517862","doi":"10.1145/3130800.3130897","title":"Seamless","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Rendering (computer graphics); Skinning; Polygon mesh; Computer graphics (images); Parameterized complexity; Computer vision; Algorithm; Artificial intelligence","score_opus":0.042466318311192006,"score_gpt":0.32332187336435364,"score_spread":0.2808555550531616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770517862","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010080742,0.0007804063,0.5806796,0.0009709687,0.0015064251,0.0005571153,0.0057374476,0.07915165,0.3205356],"genre_scores_gemma":[0.13887455,0.0012427224,0.42933398,0.0021141556,0.00035061233,0.000822631,0.021959074,0.024702804,0.38059938],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988581,0.00008070797,0.00007210026,0.0003006683,0.0005234634,0.00016492933],"domain_scores_gemma":[0.9988675,0.00009694751,0.000038139453,0.00060556293,0.00029403958,0.00009788377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006260891,0.0012688176,0.0006264715,0.0012577921,0.0012748531,0.0036617995,0.0026960056,0.001591354,0.15361403],"category_scores_gemma":[0.002279004,0.00070099125,0.0010746666,0.0011149474,0.0006714973,0.0041291574,0.005012288,0.001839926,0.086956084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039996358,0.00016988371,0.0012190792,0.00069752155,0.000059409547,0.00048813605,0.0010089674,0.004796779,0.036293354,0.12620558,0.24102214,0.58763915],"study_design_scores_gemma":[0.000025712063,0.00005752929,0.00059970457,0.00008644896,0.000020540792,0.0004641732,0.00024114555,0.012223699,0.013966081,0.022643227,0.94962656,0.000045092987],"about_ca_topic_score_codex":0.0018818866,"about_ca_topic_score_gemma":0.002667274,"teacher_disagreement_score":0.15361403,"about_ca_system_score_codex":0.00061112357,"about_ca_system_score_gemma":0.0010422942,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2770721989","doi":"10.1145/3130800.3130820","title":"Planar interpolation with extreme deformation, topology change and dynamics","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interpolation (computer graphics); Polygon mesh; Computer science; Topology (electrical circuits); Triangulation; Discretization; Algorithm; Energy minimization; Mathematics; Computer graphics (images); Computer vision; Geometry; Animation; Mathematical analysis","score_opus":0.05741575506481924,"score_gpt":0.29017066804161196,"score_spread":0.2327549129767927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770721989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038775601,0.00004066403,0.9940666,0.000049825787,0.000022302564,0.000015941887,0.000021256976,0.00024882855,0.0016569914],"genre_scores_gemma":[0.21013008,0.00016654085,0.78318614,0.00008686457,0.000049996,0.00011381171,0.00015930709,0.00046259825,0.0056447503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993523,0.0001061317,0.000026094878,0.00010836387,0.00036539862,0.00004177532],"domain_scores_gemma":[0.9995327,0.00015752878,0.00005647547,0.00014536775,0.000071211216,0.000036711248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068313995,0.00060490187,0.00058455544,0.00076640997,0.0005107567,0.0010959186,0.0013701734,0.0008452644,0.004100194],"category_scores_gemma":[0.0022542719,0.0005290053,0.0008411065,0.000748172,0.0010256784,0.0010968026,0.0023408495,0.0014652167,0.0009874593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010293757,0.000053414817,0.0007919988,0.00018455701,0.000043705553,0.0001768737,0.00027795014,0.6274484,0.037888903,0.13981457,0.0032893675,0.18992734],"study_design_scores_gemma":[0.000012491628,0.000046277004,0.00011630654,0.000013524406,0.0000072082303,0.00013620454,0.000018077644,0.95887107,0.007610996,0.02479901,0.008349163,0.000019656212],"about_ca_topic_score_codex":0.0008375596,"about_ca_topic_score_gemma":0.0012741054,"teacher_disagreement_score":0.004100194,"about_ca_system_score_codex":0.0005520168,"about_ca_system_score_gemma":0.0005940438,"threshold_uncertainty_score":0.013716519},"labels":[],"label_agreement":null},{"id":"W2770862874","doi":"10.1145/3130800.3130839","title":"Mix-and-match holography","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Holography; Computer science; Caustic (mathematics); Computer vision; Multiplexing; Projection (relational algebra); Computer graphics (images); Artificial intelligence; Optics; Algorithm; Physics; Mathematics; Geometry","score_opus":0.020759592203278124,"score_gpt":0.2641706485201945,"score_spread":0.2434110563169164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770862874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062099956,0.000253104,0.91776943,0.00025619718,0.00008065262,0.00016222493,0.00010049239,0.0007812299,0.018496746],"genre_scores_gemma":[0.6488828,0.0002889583,0.3301431,0.00018292428,0.000038331535,0.0001410053,0.000098867895,0.00016109699,0.02006284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997211,0.000038247545,0.000010807771,0.000045926303,0.00015255994,0.000031306146],"domain_scores_gemma":[0.9998202,0.00005338367,0.00003652423,0.000052636587,0.000022273625,0.000015112135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028546486,0.00039790684,0.00039754968,0.0002968436,0.00036816628,0.00095857127,0.0006437862,0.0005357364,0.005036123],"category_scores_gemma":[0.00067833596,0.0003663892,0.00043171836,0.00030283624,0.00067022437,0.0015653141,0.0011259496,0.00053708616,0.0008664634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003724129,0.00020703956,0.0013869847,0.00025754748,0.0000904664,0.00045501316,0.00043545003,0.09353837,0.23308197,0.54526734,0.0038954003,0.12101201],"study_design_scores_gemma":[0.000070746086,0.0001678172,0.0006123457,0.000019611558,0.000026173306,0.0006353485,0.00010676544,0.7568221,0.1765985,0.05022324,0.014664709,0.00005267078],"about_ca_topic_score_codex":0.0005394264,"about_ca_topic_score_gemma":0.0006973356,"teacher_disagreement_score":0.005036123,"about_ca_system_score_codex":0.0005198477,"about_ca_system_score_gemma":0.00043472438,"threshold_uncertainty_score":0.016847491},"labels":[],"label_agreement":null},{"id":"W2781859200","doi":"10.1145/3197517.3201281","title":"Eulerian-on-lagrangian cloth simulation","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Constraint (computer-aided design); Lagrangian; Eulerian path; Augmented Lagrangian method; Set (abstract data type); Computer science; Motion (physics); Mathematics; Algorithm; Geometry; Applied mathematics; Artificial intelligence; Programming language","score_opus":0.023488256229727354,"score_gpt":0.25654338285790446,"score_spread":0.2330551266281771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781859200","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057041418,0.00019246807,0.9099122,0.00038407074,0.0001262086,0.0000854203,0.00025941015,0.0008444345,0.031154297],"genre_scores_gemma":[0.7096196,0.00048179488,0.2690155,0.00030601711,0.000046015804,0.00023415935,0.00046277302,0.0004914535,0.019342707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977654,0.000044195847,0.000010437658,0.000032449687,0.00009779736,0.000038447448],"domain_scores_gemma":[0.99972147,0.0000751475,0.00002563269,0.00007329032,0.000048688984,0.000055764413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026714004,0.00034600217,0.00050226034,0.00036599347,0.00040639794,0.00078304845,0.0013537948,0.001030863,0.0048200595],"category_scores_gemma":[0.0013714391,0.0003494631,0.0005773792,0.00029734237,0.00084342033,0.0011404195,0.002336097,0.00074839336,0.0007883185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044763226,0.00004455734,0.00076292636,0.00007062698,0.000016045216,0.00017760819,0.00014060271,0.9224146,0.0067407712,0.053964432,0.0014410644,0.014182054],"study_design_scores_gemma":[0.000008237458,0.000007408528,0.000049300183,0.0000049980626,0.0000019021412,0.000023093977,0.000009028065,0.99338526,0.0007400394,0.0039238352,0.001842245,0.000004770213],"about_ca_topic_score_codex":0.0031879584,"about_ca_topic_score_gemma":0.0029930994,"teacher_disagreement_score":0.0048200595,"about_ca_system_score_codex":0.0005664579,"about_ca_system_score_gemma":0.0010023123,"threshold_uncertainty_score":0.016124666},"labels":[],"label_agreement":null},{"id":"W2783095894","doi":"10.1145/3158353","title":"Appearance Modeling via Proxy-to-Image Alignment","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Computer vision; Artificial intelligence; Object (grammar); Computer graphics (images); Geometric modeling; Nonparametric statistics; Geometry; Mathematics","score_opus":0.015974363831351774,"score_gpt":0.23752773903617377,"score_spread":0.221553375204822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783095894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028743092,0.000029404095,0.99620324,0.000017708055,0.00000869865,0.000010995464,0.000021950602,0.00053350936,0.00030009772],"genre_scores_gemma":[0.31151778,0.000360815,0.6818519,0.00009867948,0.00005132946,0.0001448298,0.00060657447,0.00094122236,0.0044269087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991861,0.0001885035,0.000034847333,0.00022461302,0.0003003955,0.00006543422],"domain_scores_gemma":[0.999193,0.00016619998,0.00012435486,0.00035980667,0.00011060605,0.000045938745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006050239,0.00085799914,0.00088831305,0.0007171073,0.0002949439,0.0014355847,0.0016100025,0.0011568288,0.0021388321],"category_scores_gemma":[0.0027263449,0.0007329922,0.0011679594,0.0009218134,0.00087174895,0.001369094,0.0019142083,0.0015798874,0.0019966785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013285583,0.00008350935,0.0012106188,0.000118591044,0.00006538218,0.00022651519,0.00021819824,0.7430028,0.043820806,0.02275538,0.0026627404,0.18570264],"study_design_scores_gemma":[0.000003209984,0.000013572259,0.00014113731,0.0000034251634,0.000004124867,0.000055326487,0.000011033653,0.9911576,0.004338545,0.0028532268,0.0014097187,0.000009048803],"about_ca_topic_score_codex":0.0018416177,"about_ca_topic_score_gemma":0.0019821122,"teacher_disagreement_score":0.0021388321,"about_ca_system_score_codex":0.0005564934,"about_ca_system_score_gemma":0.0005949524,"threshold_uncertainty_score":0.007155061},"labels":[],"label_agreement":null},{"id":"W2783525677","doi":"10.1145/3202661","title":"Vectorization of Line Drawings via Polyvector Fields","year":2019,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Army Research Office","keywords":"Vectorization (mathematics); Computer science; Workflow; Computer graphics (images); Tracing; Animation; Field (mathematics); Software; Line (geometry); Component (thermodynamics); Vector graphics; Frame (networking); Image processing; Engineering drawing; Image (mathematics); Theoretical computer science; Computer graphics; Computer vision; Programming language; Database; Mathematics; Geometry","score_opus":0.015494474289519793,"score_gpt":0.22702894773025975,"score_spread":0.21153447344073995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783525677","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015056499,0.0000381544,0.9969441,0.000035723948,0.00002951134,0.000024027426,0.00003265175,0.00083015225,0.0005599855],"genre_scores_gemma":[0.04936802,0.00030343447,0.94575834,0.000052997508,0.00006669016,0.00010340076,0.00036379628,0.0006274564,0.0033557694],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998976,0.00016834399,0.0000609876,0.00024055844,0.0004578871,0.000096269854],"domain_scores_gemma":[0.99853146,0.00034559646,0.000199862,0.0003545439,0.0004999999,0.00006863767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083154446,0.0013105484,0.0007678849,0.0024756475,0.0005533749,0.0031282443,0.0015821597,0.0008182279,0.010858518],"category_scores_gemma":[0.0037056187,0.00062685343,0.0007604735,0.0021449681,0.0010547156,0.0029337604,0.0015657232,0.00182043,0.0047065336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009539077,0.00004883723,0.0003975863,0.00019812457,0.000024737164,0.000108932196,0.00026985968,0.053227965,0.030623486,0.11013045,0.01078325,0.79409134],"study_design_scores_gemma":[0.00005547197,0.00014937506,0.00049485976,0.00007415675,0.000020714746,0.000313556,0.00017226118,0.79309064,0.06678016,0.075889006,0.06288567,0.00007404326],"about_ca_topic_score_codex":0.0015609605,"about_ca_topic_score_gemma":0.0017378035,"teacher_disagreement_score":0.010858518,"about_ca_system_score_codex":0.0007006514,"about_ca_system_score_gemma":0.0008603803,"threshold_uncertainty_score":0.036325336},"labels":[],"label_agreement":null},{"id":"W2790028039","doi":"10.1145/3182158","title":"Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Cluster analysis; Artificial intelligence; Pattern recognition (psychology); Feature (linguistics); Shape analysis (program analysis); Style analysis; Pipeline (software); Style (visual arts); Static analysis","score_opus":0.027441549914345914,"score_gpt":0.2615272859650293,"score_spread":0.23408573605068336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790028039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0095091155,0.00008460562,0.9873024,0.00004041522,0.000018155066,0.00004661333,0.00015619192,0.002152086,0.000690422],"genre_scores_gemma":[0.27321088,0.00021983411,0.71796435,0.0001995968,0.00010756787,0.00028849315,0.0022858258,0.0011309979,0.0045923903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985441,0.00020765922,0.000056963887,0.00057198835,0.0004815507,0.00013772404],"domain_scores_gemma":[0.9975078,0.00048531397,0.00027009225,0.000859331,0.0007183459,0.00015914835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087811484,0.0015892627,0.0015259258,0.002313783,0.00051755406,0.001835826,0.0020898727,0.0012351677,0.0034478467],"category_scores_gemma":[0.003363683,0.00090396724,0.00218564,0.0019961817,0.0010814922,0.001759488,0.0018953425,0.0018533876,0.0030317872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043817278,0.00024220526,0.0049174055,0.00024387363,0.0002610445,0.0002464106,0.00040006926,0.1323543,0.07925434,0.0062155365,0.010948252,0.76447827],"study_design_scores_gemma":[0.000014340113,0.00005597727,0.0012454743,0.000012077037,0.000019793659,0.0001922545,0.000047458303,0.9788548,0.011897838,0.0052174367,0.0024142594,0.000028269813],"about_ca_topic_score_codex":0.0021519165,"about_ca_topic_score_gemma":0.005460256,"teacher_disagreement_score":0.0034478467,"about_ca_system_score_codex":0.0005859961,"about_ca_system_score_gemma":0.0008709299,"threshold_uncertainty_score":0.011534214},"labels":[],"label_agreement":null},{"id":"W2794029079","doi":"10.1145/3015459","title":"Integrating Clipped Spherical Harmonics Expansions","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rendering (computer graphics); Spherical harmonics; Bandlimiting; Computer science; Numerical integration; Mathematics; Algorithm; Shader; Monte Carlo method; Mathematical optimization; Computational science; Computer graphics (images); Mathematical analysis; Fourier transform","score_opus":0.03630437250327195,"score_gpt":0.31378489309805624,"score_spread":0.2774805205947843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794029079","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009011704,0.000116290365,0.98277724,0.000044844448,0.00007861324,0.000026996513,0.00003253632,0.0008079814,0.0071038348],"genre_scores_gemma":[0.2978269,0.0006138425,0.6854126,0.00019811328,0.00016636735,0.00008584013,0.00025674168,0.0015895691,0.013850121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999428,0.00005300409,0.000019080926,0.00004975267,0.0003924836,0.0000576817],"domain_scores_gemma":[0.99940526,0.00023975852,0.00003725408,0.00010113381,0.00016626605,0.00005026561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048867974,0.000725669,0.0007221355,0.0007292955,0.0003793164,0.0013389215,0.0010062951,0.00064978027,0.005429891],"category_scores_gemma":[0.0028486226,0.0003358422,0.00085195433,0.0006207151,0.0006896398,0.0013187188,0.0012757393,0.0012875918,0.0014746793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021130762,0.00012132265,0.001290331,0.0002883293,0.000073514784,0.00046201985,0.00061670627,0.3716131,0.06316342,0.22020636,0.008231113,0.33372253],"study_design_scores_gemma":[0.000009186787,0.000024012306,0.00014016991,0.000012721501,0.00000971533,0.00009827803,0.00003040249,0.9688486,0.009651542,0.013971389,0.0071888682,0.000015137844],"about_ca_topic_score_codex":0.0036870432,"about_ca_topic_score_gemma":0.0035129786,"teacher_disagreement_score":0.005429891,"about_ca_system_score_codex":0.00073053536,"about_ca_system_score_gemma":0.00071999733,"threshold_uncertainty_score":0.018164814},"labels":[],"label_agreement":null},{"id":"W2794816985","doi":"10.1145/3197517.3201288","title":"P2P-NET","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transformation (genetics); Point (geometry); Set (abstract data type); Transformation geometry; Geometric transformation; Similarity (geometry); Displacement (psychology); Consistency (knowledge bases)","score_opus":0.017235479535809853,"score_gpt":0.23012824262729575,"score_spread":0.21289276309148591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794816985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014855528,0.0021474578,0.84533215,0.002542658,0.0009658636,0.0006163852,0.009492769,0.05730806,0.066739105],"genre_scores_gemma":[0.28376934,0.0025235557,0.5967176,0.0029161132,0.0003013295,0.0016402502,0.03288765,0.0059357765,0.07330835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995946,0.000052425046,0.000020042897,0.00013321286,0.00012544946,0.000074244876],"domain_scores_gemma":[0.9996117,0.00010012983,0.000021812866,0.00011035963,0.00010771621,0.000048326347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005534049,0.0016649528,0.0009263883,0.0005874044,0.00066308246,0.0020709026,0.004390156,0.002091981,0.041788068],"category_scores_gemma":[0.0024093965,0.0006586968,0.0008668533,0.0008889676,0.00061377714,0.0029091171,0.0025791458,0.0025412294,0.015222653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007199447,0.00034591588,0.0010212327,0.0007494716,0.00018143762,0.00051249383,0.00006658352,0.2857302,0.0055187996,0.046849623,0.29996502,0.35833928],"study_design_scores_gemma":[0.00008705136,0.0000796761,0.00011839256,0.00003104007,0.00002367255,0.00014516762,0.000020591306,0.90675676,0.0035647228,0.04062103,0.048530523,0.000021391977],"about_ca_topic_score_codex":0.0070268614,"about_ca_topic_score_gemma":0.013034341,"teacher_disagreement_score":0.041788068,"about_ca_system_score_codex":0.0011204665,"about_ca_system_score_gemma":0.001819187,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2796290181","doi":"10.1145/3197517.3201311","title":"DeepMimic","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":803,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Animation; Character animation; Motion capture; Generality; Artificial intelligence; Computer animation; Human–computer interaction; Motion (physics); Reinforcement learning; Flexibility (engineering); Robot; Computer graphics (images)","score_opus":0.019435367398364795,"score_gpt":0.23365628239398262,"score_spread":0.21422091499561782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796290181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03693565,0.0051945066,0.6855717,0.0028883177,0.003968302,0.0005872035,0.011074989,0.0876624,0.16611697],"genre_scores_gemma":[0.40444636,0.002617109,0.3996791,0.0031220778,0.00045970044,0.0012088333,0.023609562,0.0066329595,0.1582243],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998005,0.00002642785,0.000011591577,0.00007405818,0.000046469588,0.000040966344],"domain_scores_gemma":[0.999813,0.00004378769,0.000012051347,0.000051551327,0.000050373375,0.000029268203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003398944,0.0011234537,0.0006412037,0.00046128038,0.00054306036,0.0011725002,0.0022881853,0.001174481,0.048316527],"category_scores_gemma":[0.0010591309,0.0005578644,0.0006594484,0.00037587623,0.000385248,0.0015449682,0.0016835034,0.0018079894,0.0132396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007461227,0.00035853154,0.0022073076,0.00085262035,0.00023584938,0.000417783,0.00012224636,0.16173463,0.014050256,0.054848917,0.23865017,0.5257757],"study_design_scores_gemma":[0.0001401985,0.00014654027,0.0003878965,0.00006336525,0.00005060009,0.00018329067,0.000036796977,0.7939982,0.011209385,0.027044011,0.16670789,0.000031824788],"about_ca_topic_score_codex":0.0043992,"about_ca_topic_score_gemma":0.01188255,"teacher_disagreement_score":0.048316527,"about_ca_system_score_codex":0.0007781127,"about_ca_system_score_gemma":0.0012242252,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2798937014","doi":"10.1145/3152156","title":"Steklov Spectral Geometry for Extrinsic Shape Analysis","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Skolkovo Institute of Science and Technology; Israel Science Foundation; Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs; Weizmann Institute of Science; Thomas and Stacey Siebel Foundation; Army Research Office; United States-Israel Binational Science Foundation; National Science Foundation","keywords":"Laplace operator; Geometry processing; Mathematics; Operator (biology); Neumann boundary condition; Mathematical analysis; Spectral geometry; Discretization; Boundary (topology); Eigenvalues and eigenvectors; Geometry; Polygon mesh; Physics","score_opus":0.022749189069371154,"score_gpt":0.25198811718140274,"score_spread":0.2292389281120316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798937014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044732993,0.00005624333,0.99143934,0.00016201593,0.000045411438,0.000017230372,0.000039061928,0.00019620333,0.0035711182],"genre_scores_gemma":[0.2915903,0.00046262232,0.69499224,0.00049033406,0.0003472271,0.00017798974,0.00039989458,0.0009779537,0.010561366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909115,0.00021353387,0.00003999759,0.0001513873,0.00042884419,0.00007499019],"domain_scores_gemma":[0.9987631,0.0003309889,0.00013333808,0.00033562267,0.00031967455,0.00011725531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000974826,0.00092196895,0.0005578734,0.0016847356,0.0006335905,0.0022149202,0.0012877721,0.0011243862,0.005102459],"category_scores_gemma":[0.0035255286,0.00037536936,0.0008578786,0.00068956555,0.002569274,0.0027429252,0.0028902267,0.0022749698,0.0023187979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028208202,0.000026425669,0.00039080557,0.00007613601,0.0000129766095,0.00008783968,0.0001984946,0.055900227,0.013767242,0.8770293,0.0023785585,0.050103765],"study_design_scores_gemma":[0.0000061839587,0.000032462558,0.00019358186,0.000023146242,0.0000045524175,0.00013741324,0.00006992447,0.51354057,0.006553307,0.4677972,0.011613182,0.000028427932],"about_ca_topic_score_codex":0.000511101,"about_ca_topic_score_gemma":0.00062497606,"teacher_disagreement_score":0.005102459,"about_ca_system_score_codex":0.0006665803,"about_ca_system_score_gemma":0.0006557401,"threshold_uncertainty_score":0.0170694},"labels":[],"label_agreement":null},{"id":"W2803026146","doi":"10.1145/3197517.3201310","title":"Foldsketch","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Schematic; Computer science; Geometry; Simple (philosophy); Computer graphics (images); Fold (higher-order function); Software; Geometric modeling; Engineering drawing; Mathematics; Engineering; Programming language","score_opus":0.017786709124969283,"score_gpt":0.23298958429304395,"score_spread":0.21520287516807468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803026146","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026741412,0.0011552372,0.47811756,0.00049067574,0.00068649696,0.0007477831,0.004753539,0.3435147,0.14379255],"genre_scores_gemma":[0.33118832,0.0014982121,0.3080973,0.0009823154,0.0002041952,0.0011104712,0.018711532,0.063674815,0.27453288],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993893,0.00006511235,0.000033297387,0.00014036612,0.00029510277,0.00007684822],"domain_scores_gemma":[0.99910957,0.00020015039,0.00003959176,0.00035211153,0.00018190197,0.00011679502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008323999,0.0015172628,0.0008186326,0.0010145579,0.00078467757,0.0017138436,0.0021809102,0.001339697,0.15079027],"category_scores_gemma":[0.0026132304,0.0010997537,0.001362912,0.00043205966,0.0007181191,0.002891541,0.0038175667,0.0013713561,0.039566167],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022887278,0.00027185693,0.0059080743,0.0011733754,0.00017249276,0.0009764117,0.00078436907,0.03051385,0.062309068,0.03615032,0.27684304,0.58260834],"study_design_scores_gemma":[0.00029724737,0.00065046916,0.0046541435,0.00023781277,0.00011581582,0.0018558757,0.00017452013,0.13155563,0.06166953,0.015909668,0.7826171,0.00026218448],"about_ca_topic_score_codex":0.0016944389,"about_ca_topic_score_gemma":0.0028749355,"teacher_disagreement_score":0.15079027,"about_ca_system_score_codex":0.0006497314,"about_ca_system_score_gemma":0.0009058599,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2804619907","doi":"10.1145/3197517.3201292","title":"Visemenet","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":227,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Massachusetts; National Science Foundation","keywords":"Computer science; Computer facial animation; Viseme; Animation; Speech recognition; Motion (physics); Artificial intelligence; Motion capture; Synchronization (alternating current); Face (sociological concept); Computer animation; Speech synthesis; Computer graphics (images); Speech technology","score_opus":0.021820201172499724,"score_gpt":0.26602312797961086,"score_spread":0.24420292680711114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804619907","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057643373,0.0045247613,0.41802216,0.0018296532,0.00361164,0.0005130939,0.07159074,0.2521358,0.19012879],"genre_scores_gemma":[0.28649822,0.0021263438,0.39157146,0.0029410108,0.0003679871,0.00072642823,0.16514257,0.007865113,0.14276087],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997781,0.000017667267,0.000009772483,0.00011908603,0.000044493045,0.000030921856],"domain_scores_gemma":[0.9998863,0.000024000605,0.000007298956,0.00003685732,0.000029641655,0.000015923302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019014008,0.0016970921,0.00047005893,0.00094979146,0.00042547798,0.0015184408,0.0018765437,0.0012512327,0.06896371],"category_scores_gemma":[0.0008879898,0.0004585867,0.00073380425,0.0007462526,0.00028990532,0.002411589,0.0014157932,0.0013888341,0.025141824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051646674,0.00021845129,0.0011390358,0.00063301343,0.00015724721,0.00038044082,0.00010817093,0.020113807,0.021797301,0.01800973,0.28026032,0.6566659],"study_design_scores_gemma":[0.00015352336,0.00035556275,0.0018728775,0.0001790138,0.00012358121,0.0007191139,0.00019171214,0.3916874,0.04922708,0.043419667,0.5119753,0.00009518883],"about_ca_topic_score_codex":0.005989714,"about_ca_topic_score_gemma":0.016243557,"teacher_disagreement_score":0.06896371,"about_ca_system_score_codex":0.00072493113,"about_ca_system_score_gemma":0.0006575405,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2809383320","doi":"10.1145/3272127.3275065","title":"FrankenGAN","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Generative grammar; Set (abstract data type); Style (visual arts); Generative model; Scale (ratio); Artificial intelligence; Programming language; Cartography","score_opus":0.0274912570059944,"score_gpt":0.2962338573557581,"score_spread":0.26874260034976366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809383320","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011909618,0.020659862,0.19751962,0.014979363,0.0070521757,0.00027379778,0.007850433,0.017531425,0.7222237],"genre_scores_gemma":[0.09407699,0.013954886,0.0784511,0.0032973678,0.0011716866,0.00034342034,0.010387753,0.0038597116,0.7944571],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913496,0.000092269256,0.00004149745,0.00037614108,0.00026335297,0.000091812624],"domain_scores_gemma":[0.9990613,0.00029760876,0.00005467375,0.00021295037,0.00023838987,0.00013509073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065499527,0.0013484887,0.00081216655,0.0014936492,0.0012767524,0.0031684795,0.0011476203,0.0020616532,0.31862906],"category_scores_gemma":[0.002923914,0.00048205254,0.0005464556,0.001243478,0.00067933317,0.003044872,0.0024976353,0.0019865627,0.22629786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021315635,0.000107516316,0.0011660878,0.0004554916,0.000029182891,0.00048399993,0.00022489099,0.0039805975,0.0031149902,0.060467117,0.21401493,0.71574205],"study_design_scores_gemma":[0.000027281243,0.00004284773,0.00049704086,0.00015409618,0.000014819024,0.0006237361,0.000082521554,0.006372207,0.002667815,0.022999637,0.9664786,0.00003939127],"about_ca_topic_score_codex":0.002081863,"about_ca_topic_score_gemma":0.0023346972,"teacher_disagreement_score":0.31862906,"about_ca_system_score_codex":0.000888661,"about_ca_system_score_gemma":0.0011131883,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2809769628","doi":"10.1145/3197517.3201359","title":"Blended cured quasi-newton for distortion optimization","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Broyden–Fletcher–Goldfarb–Shanno algorithm; Distortion (music); Line search; Computer science; Gradient descent; Laplace operator; Mathematical optimization; Convergence (economics); Norm (philosophy); Algorithm; Geometry processing; Polygon mesh; Mathematics; Artificial intelligence; Mathematical analysis","score_opus":0.014755465134683515,"score_gpt":0.2647259891890033,"score_spread":0.2499705240543198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809769628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037794835,0.00019101721,0.99105155,0.00015045868,0.00008196132,0.00003371876,0.00006712084,0.0005009969,0.0041438076],"genre_scores_gemma":[0.13245411,0.00030976496,0.8556819,0.00022346509,0.000056380683,0.00021807922,0.0002773784,0.0011551946,0.009623818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995111,0.00012522898,0.000018831797,0.00006426698,0.0002469999,0.000033545835],"domain_scores_gemma":[0.99907994,0.00042559378,0.000073114104,0.0001690024,0.00019766449,0.000054611246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008506849,0.000974813,0.00069986325,0.00048469915,0.000521642,0.0010156556,0.0014978788,0.0013171027,0.006384345],"category_scores_gemma":[0.0035927268,0.00049970363,0.00069005496,0.00039793245,0.0009781035,0.0010743702,0.0017070945,0.0020201346,0.0018756391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012956909,0.00005990714,0.0008356228,0.00026759176,0.0000574916,0.00010043346,0.00017343751,0.80226344,0.009948154,0.098322734,0.0060227104,0.08181894],"study_design_scores_gemma":[0.000007696528,0.000012693096,0.00004706923,0.000010453092,0.0000028189038,0.00001908382,0.000007559895,0.98707706,0.0012826269,0.0073233764,0.0042029372,0.000006753691],"about_ca_topic_score_codex":0.0033734431,"about_ca_topic_score_gemma":0.005075968,"teacher_disagreement_score":0.006384345,"about_ca_system_score_codex":0.0010967096,"about_ca_system_score_gemma":0.001292682,"threshold_uncertainty_score":0.021357775},"labels":[],"label_agreement":null},{"id":"W2809848012","doi":"10.1145/3197517.3201287","title":"Predictive and generative neural networks for object functionality","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Object (grammar); Similarity (geometry); Convolutional neural network; Context (archaeology); Segmentation; Artificial neural network; Generative grammar; Generative model","score_opus":0.02177912593519075,"score_gpt":0.24103799830734365,"score_spread":0.2192588723721529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809848012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10139694,0.000746554,0.88837886,0.0007322292,0.00007183395,0.000044530676,0.00041705248,0.0021070107,0.0061049834],"genre_scores_gemma":[0.9192854,0.00041247663,0.07435751,0.00022181106,0.000043651286,0.00006666133,0.0007201127,0.00012510353,0.004767286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978334,0.000036491863,0.0000078131225,0.000095269956,0.000043318054,0.000033814857],"domain_scores_gemma":[0.9994941,0.0002663805,0.000060794086,0.00008207409,0.00006424645,0.000032522923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005188331,0.00078876404,0.00036145307,0.0006849154,0.0002710931,0.0007104598,0.0014622806,0.001056621,0.0023834014],"category_scores_gemma":[0.0019760674,0.0005367745,0.0008190661,0.0005613939,0.0010293198,0.001512247,0.00083269057,0.0013966064,0.00047288262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001263521,0.00006639715,0.0027695827,0.00007174603,0.00006459326,0.00015331575,0.000111428584,0.85070795,0.009201467,0.02342783,0.0019441259,0.11135517],"study_design_scores_gemma":[0.0000018959739,0.0000106800135,0.00031367998,0.000005934484,0.0000059992576,0.000019485684,0.000006174702,0.98953,0.0009680691,0.008872533,0.0002615496,0.0000040832338],"about_ca_topic_score_codex":0.006674588,"about_ca_topic_score_gemma":0.011367233,"teacher_disagreement_score":0.006674588,"about_ca_system_score_codex":0.0013079963,"about_ca_system_score_gemma":0.0005147063,"threshold_uncertainty_score":0.013271451},"labels":[],"label_agreement":null},{"id":"W2809859740","doi":"10.1145/3197517.3201312","title":"Perception-driven semi-structured boundary vectorization","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Raster graphics; Computer science; Vectorization (mathematics); Classification of discontinuities; Piecewise; Artificial intelligence; Perception; Computer vision; Set (abstract data type); Metric (unit); Boundary (topology); Algorithm; Mathematics","score_opus":0.015518035474969398,"score_gpt":0.27811731304188764,"score_spread":0.26259927756691825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809859740","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022333408,0.00006114221,0.9730031,0.00008186648,0.00001945564,0.00006582625,0.00007581188,0.0031194866,0.0012398482],"genre_scores_gemma":[0.3744628,0.00015501337,0.6222475,0.00006880862,0.000015210658,0.00010966505,0.0003388837,0.0007132459,0.0018888108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954754,0.00008250691,0.000022490447,0.00012427247,0.00018232618,0.00004086578],"domain_scores_gemma":[0.99892956,0.00036139842,0.00010051993,0.00029017113,0.00024376881,0.00007457252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006457988,0.0006524614,0.0005335883,0.0006616593,0.00024371523,0.001458375,0.0015492854,0.0006091482,0.005749797],"category_scores_gemma":[0.004151009,0.0003540561,0.00056227803,0.0004925531,0.00066457683,0.0016969031,0.0016245138,0.00097593426,0.0011028602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046187337,0.0001429613,0.0021296227,0.00033482764,0.00004546463,0.00014414483,0.0009134829,0.13202722,0.13715446,0.026447993,0.0054412275,0.6947567],"study_design_scores_gemma":[0.000029621413,0.00013368689,0.0008707899,0.000025207068,0.000010549196,0.00015059991,0.00020307182,0.944752,0.034383167,0.014850104,0.004561395,0.000029751813],"about_ca_topic_score_codex":0.0012352938,"about_ca_topic_score_gemma":0.0015451338,"teacher_disagreement_score":0.005749797,"about_ca_system_score_codex":0.00045717796,"about_ca_system_score_gemma":0.00060744537,"threshold_uncertainty_score":0.019234955},"labels":[],"label_agreement":null},{"id":"W2809900749","doi":"10.1145/3197517.3201333","title":"End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":465,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Nvidia","keywords":"Achromatic lens; Computer science; Image processing; Depth of field; Computer vision; Optics; Artificial intelligence; Image resolution; Algorithm; Image (mathematics); Physics","score_opus":0.009984420055376243,"score_gpt":0.2941317550953847,"score_spread":0.28414733504000844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809900749","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009131056,0.00002636319,0.99003184,0.000038199745,0.0000062271474,0.000018599305,0.00001018565,0.00021205907,0.000525583],"genre_scores_gemma":[0.28491464,0.000058060283,0.71232545,0.000070887996,0.000009985219,0.00013959773,0.000060188606,0.00024770605,0.0021734093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995641,0.000110063134,0.000018834126,0.00009008425,0.00017122495,0.000045684617],"domain_scores_gemma":[0.9993431,0.00032994786,0.000090399415,0.00008656876,0.000097513606,0.000052405907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010831977,0.00082980783,0.0007361125,0.0002205523,0.0003474261,0.00069660234,0.0010967692,0.001080168,0.0018407266],"category_scores_gemma":[0.0017994401,0.0006509707,0.00055603794,0.0002799992,0.00088200613,0.0009370895,0.0011825457,0.0014196822,0.00043743761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006227315,0.000062732004,0.00030015004,0.000035616973,0.000022367063,0.00003845212,0.00004074753,0.96271926,0.011455994,0.0055552633,0.00029652732,0.019410597],"study_design_scores_gemma":[0.000004289976,0.000013879786,0.000031727486,9.730977e-7,0.0000015743428,0.000007011417,0.000001899661,0.9969765,0.001598741,0.0012090566,0.00015141173,0.0000029101495],"about_ca_topic_score_codex":0.0027893903,"about_ca_topic_score_gemma":0.0040280316,"teacher_disagreement_score":0.0027893903,"about_ca_system_score_codex":0.0011215359,"about_ca_system_score_gemma":0.0016841344,"threshold_uncertainty_score":0.008137345},"labels":[],"label_agreement":null},{"id":"W2809923792","doi":"10.1145/3197517.3201278","title":"Mechanical characterization of structured sheet materials","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"European Society for Clinical Nutrition and Metabolism","keywords":"Homogenization (climate); Mesoscopic physics; Planar; Computer science; Characterization (materials science); Inverse; Nonlinear system; Bending; Materials science; Geometry; Mathematics; Computer graphics (images); Composite material; Physics; Nanotechnology","score_opus":0.021837346936573004,"score_gpt":0.28111955862668603,"score_spread":0.259282211690113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809923792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6153107,0.0003835118,0.36089095,0.00011506199,0.000031408385,0.000104876985,0.0007283441,0.0010800562,0.021355119],"genre_scores_gemma":[0.9392445,0.00016082673,0.05834435,0.000031567914,0.000011954164,0.00006623109,0.00039495082,0.00013844034,0.0016071473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997665,0.00002122216,0.000010589391,0.000034965145,0.00014865423,0.000018033701],"domain_scores_gemma":[0.99952424,0.00015275553,0.0000721915,0.00012381285,0.000097261734,0.000029811987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002482476,0.00036138122,0.00021944393,0.001099927,0.0003689681,0.00077062467,0.00041277843,0.00046649706,0.0020807646],"category_scores_gemma":[0.00090450107,0.00023692039,0.00019593869,0.00046646662,0.00056646846,0.00064454164,0.00031382072,0.0003210629,0.00035622512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093365095,0.00009966844,0.005716034,0.00033126082,0.000034163408,0.00065267395,0.0005574163,0.20984459,0.68436486,0.030451126,0.0011421242,0.06671276],"study_design_scores_gemma":[0.000012975762,0.00018980839,0.010025411,0.000043631953,0.000024717076,0.0007373411,0.00031467492,0.69182336,0.2720106,0.014310339,0.010455773,0.00005141449],"about_ca_topic_score_codex":0.00026020032,"about_ca_topic_score_gemma":0.000543073,"teacher_disagreement_score":0.0020807646,"about_ca_system_score_codex":0.00021455668,"about_ca_system_score_gemma":0.00023460644,"threshold_uncertainty_score":0.006960869},"labels":[],"label_agreement":null},{"id":"W2809944305","doi":"10.1145/3197517.3201353","title":"Tetrahedral meshing in the wild","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":251,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Robustness (evolution); Computer science; Computation; T-vertices; Algorithm; Enhanced Data Rates for GSM Evolution; Polygon mesh; Geometry processing; Tetrahedron; Mesh generation; Mathematics; Computer vision; Geometry; Computer graphics (images); Finite element method","score_opus":0.028490074276512317,"score_gpt":0.2749468525037155,"score_spread":0.24645677822720316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809944305","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021974712,0.00004391159,0.99552274,0.00006806559,0.000045047167,0.000017156746,0.00004048768,0.0005058092,0.0015594051],"genre_scores_gemma":[0.13750312,0.00027845413,0.8558792,0.00016993385,0.000057182424,0.00018950913,0.00036392084,0.0010258694,0.0045328364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990128,0.0001565237,0.000066664325,0.00016548461,0.0005184846,0.000079949896],"domain_scores_gemma":[0.99888986,0.00029903272,0.000057084344,0.0005098004,0.0002040934,0.0000402263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009847423,0.00056516443,0.0009535426,0.00084849866,0.00062521704,0.0016176808,0.002356309,0.0013545435,0.005594072],"category_scores_gemma":[0.0031248142,0.00068007654,0.0013461392,0.00075026,0.0018624993,0.0023279884,0.0025864055,0.0022404748,0.0020215088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011824439,0.000041577572,0.00069178623,0.00023419068,0.000073404844,0.00026202874,0.0004932698,0.47670296,0.042186137,0.30364317,0.008364665,0.16718851],"study_design_scores_gemma":[0.000015912217,0.000029158593,0.00009619708,0.000037242444,0.000012977654,0.00012329117,0.00006617918,0.8774613,0.009806723,0.08647998,0.025845127,0.000025884574],"about_ca_topic_score_codex":0.0010862724,"about_ca_topic_score_gemma":0.0010291345,"teacher_disagreement_score":0.005594072,"about_ca_system_score_codex":0.0004914164,"about_ca_system_score_gemma":0.0006713879,"threshold_uncertainty_score":0.01871407},"labels":[],"label_agreement":null},{"id":"W2809953144","doi":"10.1145/3197517.3201338","title":"DSCarver","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carving; Machining; Tool path; Computer science; Surface (topology); Curvature; Numerical control; Spiral (railway); Path (computing); Engineering drawing; Geometry; Mechanical engineering; Mathematics; Engineering","score_opus":0.012614053179615139,"score_gpt":0.2502125801800868,"score_spread":0.23759852700047165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809953144","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045782104,0.000494649,0.88705665,0.00014786341,0.00032720226,0.00020126515,0.0015518054,0.06905535,0.036587074],"genre_scores_gemma":[0.060679533,0.0004010668,0.8538848,0.0004344174,0.00008787192,0.00039077603,0.010475452,0.012552088,0.061094064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991924,0.00005460396,0.000050418697,0.00027759414,0.00032911185,0.00009584518],"domain_scores_gemma":[0.99962425,0.000052068546,0.000021555288,0.00014057408,0.0001372089,0.000024301382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042375486,0.001751246,0.0009796321,0.0014583458,0.00087148434,0.002586295,0.0029794204,0.0012690146,0.084147155],"category_scores_gemma":[0.00092096673,0.0008207909,0.0012423588,0.00084101036,0.0005673084,0.0018517526,0.0026734218,0.0014876348,0.050312653],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002847466,0.00013559747,0.0011935644,0.00041324313,0.00009491992,0.00028850287,0.0001629676,0.017623387,0.018488687,0.03422019,0.11394094,0.81315327],"study_design_scores_gemma":[0.00015573944,0.00015464127,0.00107581,0.00009287999,0.000050608087,0.0007111077,0.00012866953,0.33371884,0.04820065,0.030715447,0.5849082,0.00008743216],"about_ca_topic_score_codex":0.0019901688,"about_ca_topic_score_gemma":0.0052285786,"teacher_disagreement_score":0.084147155,"about_ca_system_score_codex":0.00082858355,"about_ca_system_score_gemma":0.0009446227,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2810291976","doi":"10.1145/3197517.3201306","title":"Designing patterns using triangle-quad hybrid meshes","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Polygon mesh; Triangle mesh; Geometry; Surface (topology); Key (lock); Computer science; Mathematics; Discretization; Computer graphics (images); Mathematical analysis","score_opus":0.058305557823349605,"score_gpt":0.3151299797665144,"score_spread":0.2568244219431648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810291976","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017986592,0.00006631958,0.97699696,0.000066197754,0.000035613295,0.000062079554,0.000049182832,0.00049398525,0.0042431615],"genre_scores_gemma":[0.2800025,0.00017887772,0.7146255,0.0000862529,0.000016570082,0.0002204373,0.00019455714,0.00041301933,0.004262367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963343,0.00005975667,0.000026919752,0.000059681886,0.00018117425,0.000039014038],"domain_scores_gemma":[0.9995888,0.000117559015,0.000037669164,0.00012593312,0.000090987545,0.000039056893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003125321,0.00049885036,0.00035245408,0.00066128356,0.00036560986,0.0009026126,0.000933476,0.000565564,0.0034651207],"category_scores_gemma":[0.0013728099,0.00043674948,0.000595987,0.0005478538,0.00056859595,0.00093451503,0.0014884099,0.00061138166,0.00091760897],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018983193,0.00011796379,0.0028791039,0.0004446819,0.000104188985,0.0005913106,0.00092697615,0.40173498,0.15852107,0.16442613,0.0065631815,0.26350057],"study_design_scores_gemma":[0.00004795347,0.0001752331,0.00041113058,0.00004742563,0.000027620868,0.0004814664,0.0001756045,0.8844936,0.029319659,0.05595175,0.028835222,0.00003337354],"about_ca_topic_score_codex":0.00057090115,"about_ca_topic_score_gemma":0.0010108015,"teacher_disagreement_score":0.0034651207,"about_ca_system_score_codex":0.0002843875,"about_ca_system_score_gemma":0.0002453952,"threshold_uncertainty_score":0.011591971},"labels":[],"label_agreement":null},{"id":"W2810460571","doi":"10.1145/3197517.3201324","title":"An advection-reflection solver for detail-preserving fluid simulation","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Computer science; Projection (relational algebra); Advection; Animation; Reflection (computer programming); Operator (biology); Computational science; Computer graphics (images); Algorithm; Mathematical optimization; Mathematics; Physics","score_opus":0.052543976632879026,"score_gpt":0.36282955276374484,"score_spread":0.3102855761308658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810460571","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008824661,0.0000935979,0.9859444,0.00012748435,0.000060036306,0.00006856388,0.000074893454,0.0014611791,0.0033452224],"genre_scores_gemma":[0.17031385,0.00021936557,0.8222046,0.00012989657,0.000047033576,0.00025979028,0.00026190624,0.0007523212,0.005811179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997423,0.000046583085,0.000014612894,0.000026493308,0.00014636514,0.000023636738],"domain_scores_gemma":[0.9997094,0.000106910426,0.000024122051,0.00005467516,0.00006531851,0.00003952786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049275503,0.0006239583,0.0005683952,0.00028506044,0.00050184043,0.00073347846,0.0014444195,0.0010757159,0.0034117121],"category_scores_gemma":[0.0013362404,0.00041440816,0.00071533234,0.00032993342,0.0005333524,0.0007887175,0.0019309565,0.0016311536,0.0009987168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017388325,0.0001612188,0.0011595589,0.0002766491,0.00006843766,0.00045724312,0.00038209537,0.74106115,0.08406024,0.06417341,0.007031159,0.10099486],"study_design_scores_gemma":[0.000025592633,0.000018091889,0.00003439592,0.000005736377,0.0000039787087,0.000058967085,0.00000620681,0.98796046,0.005911492,0.0023376914,0.0036288195,0.000008690307],"about_ca_topic_score_codex":0.0013606248,"about_ca_topic_score_gemma":0.001028446,"teacher_disagreement_score":0.0034117121,"about_ca_system_score_codex":0.00034246268,"about_ca_system_score_gemma":0.0011495496,"threshold_uncertainty_score":0.011413336},"labels":[],"label_agreement":null},{"id":"W2810461805","doi":"10.1145/3197517.3201363","title":"Gradient-domain volumetric photon density estimation","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Japan Society for the Promotion of Science; Ministry of Education - Singapore; National Research Foundation Singapore; Compute Canada; McGill University","keywords":"Rendering (computer graphics); Estimator; Computer science; Domain (mathematical analysis); Density estimation; Global illumination; Algorithm; Smoothness; Image plane; Computer vision; Artificial intelligence; Image (mathematics); Mathematics; Mathematical analysis","score_opus":0.022286357638042667,"score_gpt":0.2834363596683858,"score_spread":0.26115000203034316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810461805","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018192714,0.000049411246,0.9962813,0.00004968565,0.000012360696,0.000019756195,0.000041223582,0.000311488,0.0014155932],"genre_scores_gemma":[0.17743902,0.00034684112,0.81645465,0.000106539264,0.00004182779,0.00011661358,0.00027914418,0.00044641082,0.004768925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997676,0.000037273807,0.0000072003363,0.00003168668,0.00013454085,0.000021699509],"domain_scores_gemma":[0.9995689,0.00014539687,0.000041873616,0.00007595924,0.00014074014,0.000027168695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006364705,0.00060613523,0.0004991257,0.0005917718,0.00026182385,0.0014872242,0.0010897767,0.0006026685,0.0036445735],"category_scores_gemma":[0.0023547895,0.00040994617,0.0004988332,0.00047869454,0.00060908456,0.0012564996,0.0013596254,0.0012841607,0.0010018355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015016292,0.00007687453,0.0009243283,0.00024225266,0.000034109187,0.00012117613,0.0002069643,0.51352584,0.052024383,0.19166726,0.0072068125,0.23381978],"study_design_scores_gemma":[0.000010163194,0.0000131704755,0.000094149786,0.000014077763,0.0000050586223,0.00008167084,0.0000190947,0.96027255,0.0136918705,0.020336214,0.0054476,0.000014325321],"about_ca_topic_score_codex":0.0016022804,"about_ca_topic_score_gemma":0.0015848655,"teacher_disagreement_score":0.0036445735,"about_ca_system_score_codex":0.0007934852,"about_ca_system_score_gemma":0.0009830474,"threshold_uncertainty_score":0.0121923685},"labels":[],"label_agreement":null},{"id":"W2810709785","doi":"10.1145/3197517.3201328","title":"Box cutter","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Minimum bounding box; Atlas (anatomy); Computer science; Parameterized complexity; Boundary (topology); Process (computing); Algorithm; Bounding overwatch; Engineering drawing; Artificial intelligence; Mathematics; Engineering; Geology","score_opus":0.02284723420775557,"score_gpt":0.2651926098493226,"score_spread":0.242345375641567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810709785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007951485,0.00067152677,0.9488729,0.0001448968,0.00017470858,0.00022294099,0.0013671947,0.018200506,0.022393804],"genre_scores_gemma":[0.06386459,0.00041572424,0.9112859,0.00018907848,0.000041063897,0.00031581256,0.003828909,0.0033241764,0.016734827],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990157,0.00007431001,0.000069221554,0.00030333103,0.00042506392,0.00011239884],"domain_scores_gemma":[0.99893063,0.0003372966,0.000084842584,0.0003405391,0.00024053098,0.000066206485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005925761,0.0017358185,0.00123946,0.001367264,0.0009419691,0.0021297168,0.0019325127,0.0011995725,0.052744508],"category_scores_gemma":[0.0023587,0.00092098815,0.0013817672,0.0014437442,0.00075896975,0.0020126346,0.0024342106,0.0017795482,0.013894818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051352865,0.00014303105,0.0020758172,0.0007007737,0.000085973494,0.0004320247,0.00032287464,0.07380236,0.046286102,0.053016722,0.0726085,0.75001234],"study_design_scores_gemma":[0.00013905311,0.00031361304,0.0014771969,0.00016805653,0.00007035647,0.0011668585,0.00022327641,0.58056426,0.07820295,0.05436213,0.28315285,0.00015944295],"about_ca_topic_score_codex":0.0020706868,"about_ca_topic_score_gemma":0.0037197128,"teacher_disagreement_score":0.052744508,"about_ca_system_score_codex":0.00087507244,"about_ca_system_score_gemma":0.0011108483,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2811027829","doi":"10.1145/3197517.3201368","title":"Skaterbots","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Robot; Exploit; Solver; Servomotor; Agile software development; Trajectory; Interface (matter); Robot locomotion; Computation; Motion (physics); Mobile robot; Simulation; Artificial intelligence; Human–computer interaction; Control engineering; Robot control; Engineering; Programming language","score_opus":0.019231433561033632,"score_gpt":0.23422085239114282,"score_spread":0.2149894188301092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811027829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028323673,0.0005498406,0.8722931,0.00036808266,0.0005103328,0.000291828,0.0006353215,0.0060327863,0.09099501],"genre_scores_gemma":[0.4149906,0.0010309267,0.47264066,0.00039560162,0.00009157301,0.0007523168,0.0014522765,0.0017854893,0.10686066],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997098,0.00003636495,0.000015263964,0.000060483268,0.00012433107,0.00005377719],"domain_scores_gemma":[0.9998381,0.000028458091,0.000018257662,0.000041326864,0.000035989942,0.000037901533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031100816,0.00080649665,0.00047711426,0.00054762856,0.00076451234,0.0011325441,0.0014212826,0.0008302187,0.0333104],"category_scores_gemma":[0.0006027872,0.0005644167,0.0006668557,0.000276199,0.0009144821,0.00091765175,0.0022826327,0.000764806,0.0089905765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006441747,0.00027823276,0.0022057954,0.001558529,0.00012613379,0.00096125837,0.0008329703,0.21098913,0.13778251,0.2850097,0.050009046,0.30960253],"study_design_scores_gemma":[0.00014733626,0.0006409354,0.0012473509,0.0002394868,0.00006608531,0.0010253524,0.00029170775,0.38529116,0.03422132,0.057610698,0.5191209,0.0000977162],"about_ca_topic_score_codex":0.00074347755,"about_ca_topic_score_gemma":0.0015905859,"teacher_disagreement_score":0.0333104,"about_ca_system_score_codex":0.0004989923,"about_ca_system_score_gemma":0.0006261727,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2811052594","doi":"10.1145/3197517.3201337","title":"Fast winding numbers for soups and clouds","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Connaught Fund; Adobe Systems","keywords":"Winding number; Polygon mesh; Point cloud; Point (geometry); Computation; Block (permutation group theory); Set (abstract data type); Mathematics; Tree (set theory); Computer science; Geometry; Algorithm; Combinatorics; Topology (electrical circuits); Discrete mathematics; Mathematical analysis; Artificial intelligence","score_opus":0.028334309207038808,"score_gpt":0.3046349801905318,"score_spread":0.276300670983493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811052594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04387669,0.00019843255,0.9483365,0.00010698161,0.00009577797,0.000052843003,0.0001363652,0.0021664875,0.0050300146],"genre_scores_gemma":[0.49572036,0.00022146151,0.49944818,0.000066912486,0.00006396719,0.00009114168,0.00051921635,0.00081928616,0.003049477],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992142,0.00011420178,0.000047687132,0.000110031215,0.00041933573,0.000094584735],"domain_scores_gemma":[0.99832207,0.0007307986,0.00016381855,0.00034061674,0.00034353943,0.000099029596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055405643,0.0007602749,0.00075852545,0.0015188508,0.00063913205,0.0017312495,0.0007732714,0.0007164505,0.005943694],"category_scores_gemma":[0.00657698,0.0003631697,0.0005418786,0.00093972404,0.0010034947,0.0035506596,0.0017709555,0.0010591975,0.0016442648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036096052,0.00006309805,0.0030990744,0.00035153452,0.000027868813,0.00041746214,0.00035094365,0.154538,0.036887966,0.3735501,0.00933676,0.4210162],"study_design_scores_gemma":[0.000018861972,0.000071055874,0.00058963516,0.00004220083,0.0000070021833,0.00024274157,0.000096494805,0.72125936,0.017823668,0.25214404,0.0076716207,0.00003326167],"about_ca_topic_score_codex":0.00063982746,"about_ca_topic_score_gemma":0.0010367117,"teacher_disagreement_score":0.005943694,"about_ca_system_score_codex":0.00065259787,"about_ca_system_score_gemma":0.00044097833,"threshold_uncertainty_score":0.019883633},"labels":[],"label_agreement":null},{"id":"W2811079226","doi":"10.1145/3197517.3201296","title":"The human touch","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Human body; Finite element method; Pipeline (software); Population; Animation; Body shape; Clothing; Human–computer interaction; Artificial intelligence; Computer graphics (images); Engineering","score_opus":0.01978056475333809,"score_gpt":0.24996616990697107,"score_spread":0.23018560515363298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811079226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058731053,0.012129346,0.6179503,0.006400169,0.002702042,0.000356842,0.0015222916,0.002853537,0.2973543],"genre_scores_gemma":[0.81756526,0.006586867,0.08609681,0.0021453726,0.00046000432,0.000321268,0.0006406139,0.00042724502,0.085756525],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993998,0.000112705406,0.000022129016,0.00019146274,0.00022403653,0.00004987916],"domain_scores_gemma":[0.9995173,0.00017638865,0.000030581563,0.00014358183,0.00006791853,0.000064130356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034546753,0.00063602906,0.00048418398,0.0005705313,0.0009990005,0.002838543,0.00093782286,0.0018950332,0.021644602],"category_scores_gemma":[0.0023048501,0.00046921417,0.0006718542,0.0003972483,0.0022285953,0.0034154449,0.003050863,0.0011800381,0.004806093],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005573133,0.00014764545,0.005088592,0.0016307901,0.0001629025,0.0017536501,0.0031682386,0.03121772,0.13370676,0.36589533,0.059819583,0.39685145],"study_design_scores_gemma":[0.000113359376,0.0007226581,0.0147527205,0.0010074987,0.00014680065,0.007547615,0.0022823908,0.14883101,0.030527,0.27758327,0.51615995,0.00032562035],"about_ca_topic_score_codex":0.0009706476,"about_ca_topic_score_gemma":0.0005534743,"teacher_disagreement_score":0.021644602,"about_ca_system_score_codex":0.00042049744,"about_ca_system_score_gemma":0.00053644204,"threshold_uncertainty_score":0.07240838},"labels":[],"label_agreement":null},{"id":"W2811105005","doi":"10.1145/3197517.3201325","title":"Learning three-dimensional flow for interactive aerodynamic design","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Parametrization (atmospheric modeling); Aerodynamics; Computer science; Kriging; Nonlinear system; Flow (mathematics); Process (computing); Gaussian process; Algorithm; Mathematical optimization; Gaussian; Artificial intelligence; Mathematics; Machine learning; Geometry; Mechanics; Physics","score_opus":0.03225628685857705,"score_gpt":0.299579726557535,"score_spread":0.26732343969895794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811105005","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005458562,0.000056010216,0.99240595,0.00008963365,0.000014193739,0.000023787274,0.000036841222,0.0010619849,0.00085302285],"genre_scores_gemma":[0.39014378,0.00026374718,0.6055435,0.00015115568,0.000042720927,0.00035545646,0.0003374629,0.0005129189,0.0026492167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997533,0.00005370731,0.000009138575,0.0000433427,0.00011785038,0.00002262809],"domain_scores_gemma":[0.99937767,0.0003239824,0.000054630123,0.00011201263,0.00009023475,0.000041462903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056954107,0.00084721495,0.0006528937,0.00057651504,0.00042358704,0.0009107955,0.0010439791,0.0012832797,0.00394226],"category_scores_gemma":[0.0020932297,0.00056219177,0.00083213573,0.000385486,0.00082024507,0.00084145245,0.0013695445,0.001435781,0.0009282549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003264896,0.000043489064,0.00034764837,0.00005229673,0.00001828216,0.000044978635,0.000062542014,0.9366866,0.007256879,0.006041701,0.0010427771,0.048370283],"study_design_scores_gemma":[0.0000019343267,0.0000055774717,0.000025086212,0.0000020781151,8.7713767e-7,0.0000054563443,0.0000025710215,0.9967248,0.00088746654,0.0017527444,0.0005891927,0.000002279296],"about_ca_topic_score_codex":0.0026480702,"about_ca_topic_score_gemma":0.002726512,"teacher_disagreement_score":0.00394226,"about_ca_system_score_codex":0.0007587037,"about_ca_system_score_gemma":0.00095506373,"threshold_uncertainty_score":0.013188124},"labels":[],"label_agreement":null},{"id":"W2811107675","doi":"10.1145/3197517.3201302","title":"Robust solving of optical motion capture data by denoising","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ubisoft (Canada)","funders":"","keywords":"Computer science; Motion capture; Noise reduction; Artificial intelligence; Noise (video); Reduction (mathematics); Data set; Motion (physics); Pipeline (software); Computer vision; Task (project management); Set (abstract data type); Artificial neural network; Pattern recognition (psychology); Image (mathematics); Mathematics","score_opus":0.05655308561856225,"score_gpt":0.29496093800698253,"score_spread":0.23840785238842027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811107675","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01812608,0.00009533058,0.9790172,0.00013207046,0.00004784959,0.000050445386,0.00013030245,0.001332626,0.0010681998],"genre_scores_gemma":[0.22210795,0.0002697971,0.7719763,0.0002641333,0.000060997332,0.00013861107,0.0011095909,0.00047904937,0.0035935505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993074,0.000082822095,0.000034832894,0.00021085762,0.00031060877,0.00005357452],"domain_scores_gemma":[0.9991566,0.00023984384,0.00011472746,0.0002558516,0.00019575334,0.00003728515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093775545,0.0010768955,0.00072524685,0.0007398789,0.0003743671,0.0007855495,0.001118638,0.00088116864,0.0020769255],"category_scores_gemma":[0.004010581,0.0007129965,0.0007453525,0.00086708623,0.0009016989,0.0009444035,0.0013348839,0.0014811949,0.00084979855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030669855,0.0001128817,0.003286483,0.00025357865,0.00012191926,0.0002119774,0.00048579363,0.37491938,0.13946715,0.0108196195,0.0072517674,0.4627627],"study_design_scores_gemma":[0.000014100268,0.000064819375,0.001783713,0.000023742761,0.000013779286,0.0001514107,0.00006649519,0.9481767,0.037687123,0.0063701104,0.0056224097,0.00002569605],"about_ca_topic_score_codex":0.0045783515,"about_ca_topic_score_gemma":0.0073365173,"teacher_disagreement_score":0.0045783515,"about_ca_system_score_codex":0.0007866687,"about_ca_system_score_gemma":0.00093600136,"threshold_uncertainty_score":0.009103417},"labels":[],"label_agreement":null},{"id":"W2811358548","doi":"10.1145/3197517.3201322","title":"Perception-aware modeling and fabrication of digital drawing tools","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylus; Computer science; Leverage (statistics); Haptic technology; Perception; Human–computer interaction; Set (abstract data type); Space (punctuation); Computer graphics (images); Engineering drawing; Artificial intelligence; Computer vision; Engineering","score_opus":0.0722262750717202,"score_gpt":0.30309491484501583,"score_spread":0.23086863977329564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811358548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049970135,0.00014025981,0.9437692,0.000095867326,0.000033785276,0.000093868846,0.00014238818,0.003078051,0.002676409],"genre_scores_gemma":[0.6382538,0.00033615375,0.35824564,0.00007623439,0.000011077697,0.00018172742,0.00024729792,0.00032161994,0.0023263816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995173,0.00007389472,0.000032308515,0.00012817101,0.00021115207,0.000037221856],"domain_scores_gemma":[0.9996216,0.00013644675,0.00004474977,0.000115719275,0.000054382745,0.000027012373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039522987,0.00067614793,0.0006193016,0.0004819209,0.00040134805,0.0016641795,0.0017213909,0.00095642835,0.0029213142],"category_scores_gemma":[0.0016167392,0.0006854779,0.0010928973,0.00042416545,0.000717271,0.0013427928,0.0013519716,0.00063750136,0.0005843641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002450464,0.00019068467,0.0019776316,0.000341275,0.000085645246,0.0004801723,0.000758938,0.72827256,0.123218544,0.010629165,0.0016256332,0.13217476],"study_design_scores_gemma":[0.000011308175,0.00004458965,0.00045325284,0.000009547053,0.00001229887,0.00008786477,0.00004199506,0.97777504,0.016143743,0.0033470334,0.0020526003,0.000020657615],"about_ca_topic_score_codex":0.0027578217,"about_ca_topic_score_gemma":0.0035046358,"teacher_disagreement_score":0.0029213142,"about_ca_system_score_codex":0.0006434476,"about_ca_system_score_gemma":0.0009083079,"threshold_uncertainty_score":0.009772778},"labels":[],"label_agreement":null},{"id":"W2811415544","doi":"10.1145/3197517.3201277","title":"FEPR","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Nvidia; National Science Foundation","keywords":"Integrator; Computer science; Projection (relational algebra); Dissipation; Position (finance); Dissipative system; Algorithm; Manifold (fluid mechanics); Overhead (engineering); Control theory (sociology); Artificial intelligence; Physics","score_opus":0.030116627943643365,"score_gpt":0.30254654244249457,"score_spread":0.27242991449885123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811415544","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012382642,0.0010011481,0.7130838,0.0017050375,0.0011170404,0.0002166658,0.0016034279,0.01622106,0.25266927],"genre_scores_gemma":[0.24859476,0.0012098625,0.48227704,0.0013616161,0.00038681462,0.00045650982,0.006589443,0.004335509,0.25478855],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999433,0.0000764289,0.000025453191,0.00012423159,0.00025873247,0.0000820708],"domain_scores_gemma":[0.99958557,0.000060595663,0.000025427331,0.00016025985,0.0001216642,0.00004651741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005131598,0.00076968485,0.00049734337,0.0008396475,0.0011996621,0.0016866085,0.0016359369,0.0014404792,0.07729652],"category_scores_gemma":[0.001424273,0.00037753192,0.00044987816,0.00050995767,0.0005031425,0.0018064686,0.0024443783,0.0012177107,0.030420234],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024592632,0.00019912074,0.0016245991,0.00035151042,0.000053614247,0.0005491554,0.0003065519,0.0389617,0.025884097,0.21870625,0.15112755,0.56198996],"study_design_scores_gemma":[0.00007417725,0.00012351578,0.00078019954,0.00009574747,0.000020444435,0.00093571236,0.00008953008,0.20854571,0.020681445,0.052504677,0.71609384,0.00005502784],"about_ca_topic_score_codex":0.0019508684,"about_ca_topic_score_gemma":0.0026722676,"teacher_disagreement_score":0.07729652,"about_ca_system_score_codex":0.0006509794,"about_ca_system_score_gemma":0.00080688135,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2811499654","doi":"10.1145/3197517.3201314","title":"StrokeAggregator","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sketch; Computer science; Cluster analysis; Pairwise comparison; Aggregate (composite); Perception; Computer graphics (images); Artificial intelligence; Algorithm","score_opus":0.026076762322390937,"score_gpt":0.2947656072120313,"score_spread":0.2686888448896404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811499654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006369527,0.0002670372,0.9202353,0.00013012093,0.00015723328,0.00040087334,0.0014291379,0.05797243,0.013038299],"genre_scores_gemma":[0.08449508,0.0003793688,0.8730815,0.00021384834,0.00006486364,0.000726867,0.005341462,0.012747166,0.022949805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985775,0.00014198777,0.00013507607,0.0003953165,0.0006214512,0.00012861837],"domain_scores_gemma":[0.9974769,0.00044561614,0.00015438351,0.0012029106,0.00055346184,0.00016676815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248996,0.0022102303,0.0013080991,0.0026018461,0.001081196,0.0038285898,0.0034074814,0.0015711054,0.058776874],"category_scores_gemma":[0.0073209065,0.0010757452,0.0016449696,0.0024195046,0.00071683637,0.0036449425,0.0049888077,0.00171673,0.021655899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004714737,0.00014950309,0.0022075076,0.00060188357,0.00014542099,0.00029216707,0.0009562245,0.014210443,0.026505131,0.02803518,0.073440656,0.8529845],"study_design_scores_gemma":[0.00015864031,0.00030167037,0.0031955633,0.00016862054,0.00014811191,0.0012129523,0.0006175876,0.39359227,0.09747094,0.033324152,0.46957457,0.00023498817],"about_ca_topic_score_codex":0.0019307348,"about_ca_topic_score_gemma":0.004099057,"teacher_disagreement_score":0.058776874,"about_ca_system_score_codex":0.0007210239,"about_ca_system_score_gemma":0.0013208897,"threshold_uncertainty_score":0.19662821},"labels":[],"label_agreement":null},{"id":"W2894766094","doi":"10.1145/3272127.3275014","title":"SFV","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Motion capture; Character animation; Animation; Reinforcement learning; Artificial intelligence; Leverage (statistics); Computer animation; Motion (physics); Physics engine; Computer vision; Human–computer interaction; Computer graphics (images)","score_opus":0.02061558315292415,"score_gpt":0.23630717415842917,"score_spread":0.21569159100550503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894766094","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004113991,0.001716972,0.17277876,0.002321835,0.0032132235,0.0005464676,0.067282565,0.12750821,0.620518],"genre_scores_gemma":[0.09288549,0.002063816,0.099156015,0.0028798636,0.0012330145,0.00086508115,0.21412686,0.01896938,0.5678205],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952555,0.000044313758,0.00002342402,0.00012718614,0.00021498174,0.00006450024],"domain_scores_gemma":[0.9994424,0.000061903156,0.000020981379,0.00017502057,0.00019780333,0.000101953156],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051673775,0.0013159617,0.0007475202,0.0012559455,0.00087473856,0.0022680343,0.0015587615,0.0020717129,0.54502255],"category_scores_gemma":[0.0016780172,0.00039192406,0.0005813141,0.00096320774,0.00036714703,0.0019035544,0.0025752725,0.0013384618,0.37288123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018042291,0.0000612315,0.00054226664,0.00023847345,0.000019843936,0.00013120363,0.00006617472,0.0026128332,0.0053513576,0.010505575,0.72248197,0.25780866],"study_design_scores_gemma":[0.00006598773,0.000044307562,0.00058126857,0.00008127489,0.000008127361,0.00016492992,0.000035786492,0.014786967,0.0026995793,0.00958545,0.9719192,0.00002715688],"about_ca_topic_score_codex":0.0048990157,"about_ca_topic_score_gemma":0.005326657,"teacher_disagreement_score":0.45497745,"about_ca_system_score_codex":0.0008321528,"about_ca_system_score_gemma":0.0007856446,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2897143446","doi":"10.1145/3204458","title":"Axis-Aligned Height-Field Block Decomposition of 3D Shapes","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"European Commission; National Science Foundation","keywords":"Algorithm; Computation; Computer science; Decomposition; Field (mathematics); Sorting; Block (permutation group theory); Surface (topology); Set (abstract data type); Mathematical optimization; Mathematics; Geometry","score_opus":0.020026194867805845,"score_gpt":0.3032880837638283,"score_spread":0.2832618888960225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897143446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00579934,0.000038539296,0.9918098,0.000027441614,0.000010398056,0.000045875793,0.00016749378,0.0008736798,0.0012273861],"genre_scores_gemma":[0.07690291,0.00008022981,0.9182207,0.00004139502,0.000011520904,0.00015676732,0.0015078704,0.0005246935,0.002553997],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969673,0.000026636451,0.000014516223,0.00006070803,0.00015838591,0.00004299469],"domain_scores_gemma":[0.9996877,0.000088789566,0.000034324756,0.00008505284,0.000079763624,0.000024494657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835542,0.0010117294,0.0008301661,0.001054356,0.00033216728,0.0011187914,0.0009964055,0.00071913673,0.006078481],"category_scores_gemma":[0.0007846988,0.00054711,0.0010121699,0.0008817565,0.000457387,0.0008725139,0.0011944114,0.0009854274,0.0025760906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016008002,0.00009616506,0.0011207908,0.0003022295,0.000050267066,0.00017046582,0.00027964925,0.4311123,0.062632486,0.037428524,0.0120651545,0.4545819],"study_design_scores_gemma":[0.000018170085,0.000043548338,0.00020697675,0.000012960077,0.000007807973,0.00008230792,0.00005034646,0.96736187,0.011032441,0.013168376,0.008003153,0.000012036456],"about_ca_topic_score_codex":0.003152789,"about_ca_topic_score_gemma":0.0063559194,"teacher_disagreement_score":0.006078481,"about_ca_system_score_codex":0.0005446985,"about_ca_system_score_gemma":0.00094726426,"threshold_uncertainty_score":0.020334542},"labels":[],"label_agreement":null},{"id":"W2901677958","doi":"10.1145/3197517.3201284","title":"Creating and chaining camera moves for quadrotor videography","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Computer science; Videography; Computer vision; Landmark; Artificial intelligence; Chaining; Trajectory; Set (abstract data type); Drone; Task (project management); Camera auto-calibration; Motion (physics); Computer graphics (images); Camera resectioning","score_opus":0.029142999281134885,"score_gpt":0.2837672460864556,"score_spread":0.2546242468053207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901677958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01410508,0.000095847216,0.9819031,0.000033578355,0.000016863642,0.000110995505,0.00007432063,0.002344186,0.0013160977],"genre_scores_gemma":[0.15407474,0.00017311226,0.84192413,0.000050233266,0.000011934759,0.000101278216,0.00038912203,0.00052418275,0.0027513057],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997372,0.00003991223,0.000013002117,0.00010572507,0.00007683899,0.00002728238],"domain_scores_gemma":[0.9997248,0.00009182724,0.000035241203,0.00008132743,0.0000367071,0.000030060633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033067816,0.0007674434,0.00050941063,0.0006292435,0.00040996767,0.00056294777,0.001083434,0.0006656754,0.0055960617],"category_scores_gemma":[0.0011570272,0.0005172296,0.00045382895,0.00048529202,0.0004902273,0.0008175416,0.0010923685,0.0006619336,0.0011294025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035812357,0.00018682747,0.0022340978,0.00035491292,0.00010334147,0.00083490176,0.000997742,0.24162938,0.10380016,0.022014884,0.008002661,0.619483],"study_design_scores_gemma":[0.0000332525,0.00013519908,0.000670401,0.000032240405,0.000019387247,0.00034140304,0.00016989556,0.94382393,0.03231705,0.0067151985,0.01571624,0.000025842624],"about_ca_topic_score_codex":0.0037164045,"about_ca_topic_score_gemma":0.00954307,"teacher_disagreement_score":0.0055960617,"about_ca_system_score_codex":0.00052861264,"about_ca_system_score_gemma":0.00046240212,"threshold_uncertainty_score":0.018720746},"labels":[],"label_agreement":null},{"id":"W2902132986","doi":"10.1145/3272127.3275061","title":"Construction and fabrication of reversible shape transforms","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China-Yunnan Joint Fund; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Boundary (topology); Computer science; Construct (python library); Hinge; Algorithm; Geometric shape; Geometry; Computer vision; Artificial intelligence; Mathematics; Mathematical analysis; Physics; Classical mechanics","score_opus":0.015207381737824913,"score_gpt":0.23929780141589935,"score_spread":0.22409041967807444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902132986","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078495406,0.00014501206,0.90683264,0.00009490173,0.00007947309,0.00007403624,0.000119365934,0.000811866,0.013347365],"genre_scores_gemma":[0.51865107,0.00025429996,0.47407842,0.00010932821,0.00003193439,0.00015099715,0.0003305342,0.0003805191,0.006012883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994804,0.000054078635,0.000025821737,0.00012284066,0.00024444232,0.00007235989],"domain_scores_gemma":[0.99953103,0.00014379043,0.000055978515,0.00018803109,0.000050823546,0.000030316683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040270167,0.0005089826,0.00045092643,0.0006307945,0.00042043632,0.00094776705,0.0009111302,0.00063744636,0.0035838955],"category_scores_gemma":[0.0015468784,0.0005176786,0.0007776045,0.000464625,0.0010109431,0.0013157161,0.0014808938,0.0011708578,0.0011740827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015492334,0.00009318059,0.001218395,0.00025316107,0.000041319072,0.0008138653,0.00048134508,0.14337711,0.32159242,0.34896973,0.0025755668,0.18042903],"study_design_scores_gemma":[0.000054482844,0.00030937273,0.000561669,0.000046524114,0.000024149149,0.0013213297,0.00015069975,0.5060955,0.35711616,0.09814856,0.036078416,0.00009307907],"about_ca_topic_score_codex":0.00015283536,"about_ca_topic_score_gemma":0.00025716968,"teacher_disagreement_score":0.0035838955,"about_ca_system_score_codex":0.000341965,"about_ca_system_score_gemma":0.0003289077,"threshold_uncertainty_score":0.011989355},"labels":[],"label_agreement":null},{"id":"W2902375431","doi":"10.1145/3272127.3275017","title":"Practical SVBRDF acquisition of 3D objects with unstructured flash photography","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Institute for Information and Communications Technology Promotion; H2020 European Research Council; Samsung; Defense Advanced Research Projects Agency; Ministerio de Economía y Competitividad; Korea Creative Content Agency; National Research Foundation of Korea; Ministry of Science and ICT, South Korea; European Commission","keywords":"Computer science; Rendering (computer graphics); Computer vision; Artificial intelligence; Computer graphics (images); 3D reconstruction; Flash (photography); Graphics pipeline; Photography; Photometric stereo; Computer graphics; 3D computer graphics; Optics; Image (mathematics)","score_opus":0.017321172448256233,"score_gpt":0.29132504420582717,"score_spread":0.2740038717575709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902375431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015997266,0.00016037119,0.9800249,0.00008395436,0.000018018562,0.000045954697,0.00026808705,0.0016436032,0.0017579381],"genre_scores_gemma":[0.14663588,0.0005105885,0.8499235,0.00009414238,0.00002950249,0.00007718739,0.0009626885,0.00042884194,0.0013376068],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958414,0.00003680632,0.000017152755,0.0000790978,0.0002465999,0.000036307363],"domain_scores_gemma":[0.99958605,0.00010816988,0.00004040834,0.00014908322,0.000090236696,0.000026166581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000527632,0.0007587579,0.0006591571,0.00086103275,0.0002956046,0.0011830707,0.0009188588,0.00081429054,0.0027669063],"category_scores_gemma":[0.0012440942,0.000643974,0.0008917413,0.0005847859,0.00050791923,0.0011748184,0.0014594446,0.0012188955,0.0015068824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017973786,0.00012157636,0.0027012916,0.00072467804,0.00010522772,0.0006497447,0.0007157771,0.1281791,0.3519468,0.012685202,0.006241985,0.49574885],"study_design_scores_gemma":[0.00003886673,0.00012349841,0.0038357321,0.000101275546,0.00004201802,0.002157268,0.00034841237,0.83086437,0.12596926,0.016799644,0.019585067,0.00013463898],"about_ca_topic_score_codex":0.00170881,"about_ca_topic_score_gemma":0.0034716951,"teacher_disagreement_score":0.0027669063,"about_ca_system_score_codex":0.00035519508,"about_ca_system_score_gemma":0.00084398716,"threshold_uncertainty_score":0.009256244},"labels":[],"label_agreement":null},{"id":"W2902455184","doi":"10.1145/3272127.3275058","title":"Scalable appearance filtering for complex lighting effects","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Computer science; Rendering (computer graphics); Global illumination; Memory footprint; Scalability; Computer vision; Artificial intelligence; Histogram; Ground truth; Spatial frequency; Computer graphics (images); Image (mathematics); Optics","score_opus":0.03736462490631289,"score_gpt":0.30884411212759655,"score_spread":0.2714794872212837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902455184","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014492833,0.00015540393,0.98036826,0.000090309186,0.00005292241,0.00001827436,0.00007949839,0.002865565,0.0018769997],"genre_scores_gemma":[0.35572892,0.00046439495,0.6338819,0.00023404037,0.000097404874,0.0000663225,0.0005911881,0.0016394288,0.007296394],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997098,0.00003434294,0.000008328288,0.000050285045,0.0001640544,0.000033078246],"domain_scores_gemma":[0.999554,0.00012858807,0.000031185366,0.00014667261,0.00010692296,0.00003265479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031914393,0.00065988436,0.0006037183,0.000511525,0.00026936253,0.001091531,0.0008352236,0.0005491894,0.005184236],"category_scores_gemma":[0.0014417542,0.00035173356,0.0007273521,0.0004283058,0.00033029565,0.0010582412,0.0010117717,0.0012134295,0.0018118997],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023404846,0.00016259227,0.00091852853,0.00020128251,0.000083407045,0.0001670724,0.00014931864,0.33804053,0.17047471,0.024620978,0.012548091,0.45239946],"study_design_scores_gemma":[0.0000075422313,0.000011371467,0.00017376822,0.0000030456372,0.000004881971,0.00004616781,0.0000075920625,0.9859773,0.008371012,0.0034018029,0.0019888198,0.000006740308],"about_ca_topic_score_codex":0.0033062464,"about_ca_topic_score_gemma":0.0052375873,"teacher_disagreement_score":0.005184236,"about_ca_system_score_codex":0.0005905987,"about_ca_system_score_gemma":0.0004324466,"threshold_uncertainty_score":0.017342985},"labels":[],"label_agreement":null},{"id":"W2902539442","doi":"10.1145/3272127.3275035","title":"Language-driven synthesis of 3D scenes from scene databases","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Adobe Systems; Hong Kong University of Science and Technology; Ministry of Education - Singapore; Amazon Web Services; National Science Foundation","keywords":"Computer science; Scene graph; Scene statistics; Parsing; Artificial intelligence; Semantics (computer science); Context (archaeology); Natural language; Natural (archaeology); Natural language user interface; Computer vision; Natural language processing; Rendering (computer graphics)","score_opus":0.035173562789559264,"score_gpt":0.2789942065662453,"score_spread":0.24382064377668602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902539442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005871404,0.00012121256,0.9815046,0.000079218415,0.00005918645,0.00012072665,0.0006051512,0.009598974,0.0020394835],"genre_scores_gemma":[0.0988928,0.00023445293,0.8905547,0.00017053806,0.00004785196,0.00025198146,0.003962365,0.0026402848,0.0032449495],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898213,0.00018578784,0.00006097285,0.00035505794,0.00034028656,0.000075842],"domain_scores_gemma":[0.999032,0.0003533813,0.00008194928,0.00026800064,0.00020791727,0.000056708766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079086015,0.002044382,0.001096234,0.0016649346,0.00058690354,0.0018189438,0.0023546652,0.0009508101,0.006712769],"category_scores_gemma":[0.0025061297,0.0010584969,0.0023825294,0.0011725561,0.000976195,0.0017435348,0.002434141,0.0014156725,0.0026663623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006515104,0.0003252413,0.0013808195,0.0012563551,0.00026772314,0.0011891263,0.0020007433,0.20087637,0.18440044,0.0439221,0.028033396,0.53569615],"study_design_scores_gemma":[0.0000713948,0.00018092066,0.00056944444,0.000050304523,0.00008899916,0.00051163,0.0005706257,0.8411211,0.080211386,0.024598468,0.05192284,0.00010292889],"about_ca_topic_score_codex":0.004576153,"about_ca_topic_score_gemma":0.011211818,"teacher_disagreement_score":0.006712769,"about_ca_system_score_codex":0.00082425476,"about_ca_system_score_gemma":0.00092220434,"threshold_uncertainty_score":0.022456408},"labels":[],"label_agreement":null},{"id":"W2902627232","doi":"10.1145/3272127.3275051","title":"Robust flow-guided neural prediction for sketch-based freeform surface modeling","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China-Yunnan Joint Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Sketch; Rendering (computer graphics); Artificial intelligence; Convolutional neural network; Ambiguity; Curvature; Inpainting; Workflow; Computer vision; Algorithm; Image (mathematics); Mathematics; Geometry","score_opus":0.0572143403597662,"score_gpt":0.24546311526370362,"score_spread":0.18824877490393743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902627232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03272803,0.00032679518,0.96153885,0.00015367835,0.000046542224,0.000043391392,0.00033906897,0.0036525647,0.0011711096],"genre_scores_gemma":[0.7014687,0.00044917603,0.29106456,0.00021099833,0.000060198436,0.00015394464,0.0017464798,0.0006104068,0.004235639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997497,0.000030759038,0.000012365518,0.00008792319,0.00007939487,0.000039882027],"domain_scores_gemma":[0.99929297,0.00033048872,0.00007072382,0.00012331408,0.00013412144,0.000048338217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005110988,0.0011172743,0.0008204342,0.0007057851,0.00024521022,0.0009885357,0.0015528913,0.0009914789,0.003179777],"category_scores_gemma":[0.0028562436,0.0007147327,0.001122439,0.0005643675,0.00066938647,0.0013271,0.0010024518,0.0017171499,0.00081321044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056911755,0.000022995482,0.0006338527,0.000047012178,0.000022683078,0.00004973812,0.000036308244,0.9138293,0.0049307123,0.002619342,0.0013683757,0.07638276],"study_design_scores_gemma":[0.0000013114966,0.0000027580152,0.00003718356,0.0000016933096,9.861203e-7,0.0000042428064,0.000001467724,0.9987405,0.00044781526,0.00066380244,0.00009663704,0.0000016123608],"about_ca_topic_score_codex":0.014175685,"about_ca_topic_score_gemma":0.0161635,"teacher_disagreement_score":0.014175685,"about_ca_system_score_codex":0.0012811042,"about_ca_system_score_gemma":0.00097554,"threshold_uncertainty_score":0.028186321},"labels":[],"label_agreement":null},{"id":"W2902695790","doi":"10.1145/3272127.3275049","title":"Fabricable eulerian wires for 3D shape abstraction","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eulerian path; Computer science; Simulated annealing; Scalability; Abstraction; Population; Metaheuristic; Planar; Mathematical optimization; Algorithm; Mathematics; Computer graphics (images)","score_opus":0.023920770823826387,"score_gpt":0.24882402411991347,"score_spread":0.2249032532960871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902695790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014327878,0.000061269115,0.9817089,0.00004252889,0.0000131036495,0.000033393055,0.000040936902,0.00079145265,0.0029805317],"genre_scores_gemma":[0.16383561,0.00012690046,0.8317592,0.00005407014,0.0000110318815,0.00018072523,0.00018828633,0.00045898368,0.0033850903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998035,0.00003138861,0.000009567591,0.000044272172,0.00008385245,0.000027378599],"domain_scores_gemma":[0.99974436,0.000105278494,0.000036904876,0.000066623106,0.00003196258,0.000014802614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002832124,0.00085604825,0.0005503267,0.0005595149,0.00038720804,0.0006302849,0.001058815,0.0007193328,0.0037638203],"category_scores_gemma":[0.00076478417,0.00054701656,0.0009873196,0.00044326365,0.0005647918,0.0007051791,0.0010366999,0.0010302342,0.00078807847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004149765,0.00004506031,0.000716373,0.00014515023,0.0000409463,0.00012021664,0.00013528985,0.82806957,0.0346561,0.02777501,0.0016810676,0.10657375],"study_design_scores_gemma":[0.000008643678,0.00002397635,0.00008138338,0.000009695132,0.000007729721,0.000044481305,0.000021047941,0.9825001,0.006004951,0.007496785,0.0037940496,0.0000072917965],"about_ca_topic_score_codex":0.0012834662,"about_ca_topic_score_gemma":0.002434697,"teacher_disagreement_score":0.0037638203,"about_ca_system_score_codex":0.00055599323,"about_ca_system_score_gemma":0.00077708234,"threshold_uncertainty_score":0.012591243},"labels":[],"label_agreement":null},{"id":"W2902857675","doi":"10.1145/3272127.3275042","title":"OptCuts","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Skolkovo Institute of Science and Technology; National Science Foundation","keywords":"Distortion (music); Embedding; Upper and lower bounds; Computer science; Scalability; Algorithm; Bijection; Benchmark (surveying); Distortion function; Range (aeronautics); Scratch; Discontinuity (linguistics); Surface (topology); Topology (electrical circuits); Mathematics; Geometry; Artificial intelligence; Discrete mathematics; Mathematical analysis","score_opus":0.01316880082188389,"score_gpt":0.2554402378666854,"score_spread":0.2422714370448015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902857675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006253127,0.00057339907,0.9455923,0.00021283676,0.00030981717,0.00022309036,0.0012592693,0.027087845,0.018488362],"genre_scores_gemma":[0.08663612,0.00069822447,0.8628475,0.00049305387,0.00009624712,0.0006461094,0.006478497,0.020063514,0.022040667],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991611,0.000077996614,0.000056906913,0.00015044508,0.0004729256,0.00008055187],"domain_scores_gemma":[0.9992392,0.00024181689,0.000056911795,0.00025331124,0.0001624975,0.000046232308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006828184,0.001888946,0.001059534,0.0011603169,0.0008528015,0.002285921,0.0031570378,0.0019102041,0.045610182],"category_scores_gemma":[0.0032885019,0.0010957787,0.0016224679,0.0009674777,0.0009144651,0.0021088528,0.0034193988,0.002201949,0.011076349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003437045,0.00014681405,0.0014083583,0.001139208,0.00016433302,0.0003313043,0.00034301166,0.0980763,0.022507228,0.075882405,0.115590535,0.6840668],"study_design_scores_gemma":[0.00020344707,0.00020157489,0.00065913936,0.00022389909,0.00005173039,0.00087175996,0.00020523054,0.59296757,0.031941634,0.100826606,0.27174678,0.00010054523],"about_ca_topic_score_codex":0.0018655699,"about_ca_topic_score_gemma":0.004582707,"teacher_disagreement_score":0.045610182,"about_ca_system_score_codex":0.00066254777,"about_ca_system_score_gemma":0.001039881,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2902972464","doi":"10.1145/3272127.3275018","title":"Simultaneous acquisition of polarimetric SVBRDF and normals","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Microsoft Research Asia; Samsung; National Research Foundation of Korea","keywords":"Specular reflection; Bidirectional reflectance distribution function; Polarimetry; Computer science; Specular highlight; Rendering (computer graphics); Computer vision; Artificial intelligence; Projector; Optics; Diffuse reflection; Inverse; Polarizer; Scattering; Mathematics; Physics; Reflectivity; Geometry","score_opus":0.016895452678236732,"score_gpt":0.2829248937399677,"score_spread":0.266029441061731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902972464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019589245,0.00010519458,0.9755761,0.00014154952,0.00007462273,0.000046569006,0.0005022649,0.001783043,0.002181349],"genre_scores_gemma":[0.31249964,0.0008176769,0.6792788,0.00016620036,0.00012556712,0.00013154329,0.0025269801,0.0016523168,0.0028012819],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924505,0.00009273587,0.000025925992,0.00015420577,0.000407331,0.00007467985],"domain_scores_gemma":[0.99894816,0.00018847856,0.000082732724,0.00030186799,0.00040670624,0.00007205033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006453939,0.0013491041,0.0010676887,0.0017960028,0.00029807325,0.0019857348,0.00081677706,0.00087510614,0.003121934],"category_scores_gemma":[0.0030256622,0.0007594335,0.0011738044,0.001291214,0.0006689991,0.0022695917,0.0016842136,0.0024924253,0.002206957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022405907,0.00022436846,0.0033208516,0.00039961783,0.00009212165,0.00030744605,0.0004533989,0.14810352,0.3889834,0.023464356,0.008842087,0.4255848],"study_design_scores_gemma":[0.000029901315,0.000059787148,0.003484423,0.000044653258,0.00003295261,0.0007841275,0.00015766993,0.86394536,0.0884964,0.026492791,0.016333869,0.00013809952],"about_ca_topic_score_codex":0.0021571263,"about_ca_topic_score_gemma":0.0033120243,"teacher_disagreement_score":0.003121934,"about_ca_system_score_codex":0.0005329583,"about_ca_system_score_gemma":0.0009780737,"threshold_uncertainty_score":0.010443926},"labels":[],"label_agreement":null},{"id":"W2903151799","doi":"10.1145/3272127.3275033","title":"3D fabrication with universal building blocks and pyramidal shells","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Israel Science Foundation","keywords":"Residual; Computer science; Fabrication; 3D printing; Mathematical optimization; Volume (thermodynamics); Computation; Decomposition; Set (abstract data type); Algorithm; Computer engineering; Computational science; Mechanical engineering; Mathematics; Engineering","score_opus":0.010778576354140442,"score_gpt":0.21022481121119926,"score_spread":0.1994462348570588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903151799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075775124,0.000114232374,0.9861282,0.00007856573,0.00001985273,0.000030021847,0.000065930915,0.00046979135,0.005515808],"genre_scores_gemma":[0.10144445,0.00016360499,0.8957099,0.000040244675,0.0000102580025,0.000099468685,0.0001150329,0.00019729768,0.0022198202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957997,0.000045888915,0.000016331049,0.00007389182,0.00022394062,0.000060030317],"domain_scores_gemma":[0.9996413,0.00013108681,0.000046681507,0.00011448478,0.000044187298,0.000022176811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004718164,0.0008468259,0.0007540025,0.0005813598,0.00044807311,0.0011440673,0.00137723,0.0011224737,0.005505623],"category_scores_gemma":[0.0010685668,0.00084256084,0.0011741958,0.0005166415,0.00086805254,0.0010509663,0.0017450135,0.0012933329,0.0011893315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004002259,0.000035662066,0.00032623723,0.00026418464,0.000032192504,0.0001546747,0.000075564305,0.86567366,0.022823801,0.062782876,0.0017139477,0.046077166],"study_design_scores_gemma":[0.000012838667,0.00003632944,0.00008079246,0.000018311106,0.000009256186,0.00012471648,0.000016042137,0.97786134,0.006084378,0.010719669,0.005024562,0.000011726049],"about_ca_topic_score_codex":0.001565923,"about_ca_topic_score_gemma":0.0034645626,"teacher_disagreement_score":0.005505623,"about_ca_system_score_codex":0.0006154079,"about_ca_system_score_gemma":0.0011731124,"threshold_uncertainty_score":0.018418133},"labels":[],"label_agreement":null},{"id":"W2903298682","doi":"10.1145/3272127.3275085","title":"Set-in-stone","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Set (abstract data type); Computer science; Topology optimization; Scale (ratio); Mathematical optimization; Structural engineering; Ultimate tensile strength; Mathematics; Finite element method; Materials science; Engineering; Composite material","score_opus":0.038753057559591096,"score_gpt":0.25410005753908155,"score_spread":0.21534699997949044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903298682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035572639,0.0005882871,0.91612744,0.0004030539,0.00048103734,0.0002794586,0.0018261515,0.014976427,0.061760888],"genre_scores_gemma":[0.17433703,0.0013607122,0.7439422,0.00066708704,0.00018038329,0.0013871904,0.009683592,0.0056786058,0.06276324],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913234,0.00012764113,0.000055036315,0.0001564226,0.0004165779,0.00011194339],"domain_scores_gemma":[0.9993395,0.00014303726,0.000028327144,0.0003019583,0.00013295005,0.000054216154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006775729,0.0014203212,0.0015206706,0.00076070934,0.0009736579,0.0030767152,0.004177318,0.0018052111,0.0912878],"category_scores_gemma":[0.0024320604,0.0007259619,0.0026210956,0.000847693,0.001001047,0.0019802134,0.005597476,0.001912157,0.031273585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043534485,0.00017305587,0.0010652003,0.0011277861,0.00021694171,0.00081917533,0.00030253033,0.19991045,0.010216754,0.23896027,0.09893201,0.44784045],"study_design_scores_gemma":[0.00015246202,0.00012793549,0.0002973197,0.00015430288,0.00006323905,0.0004286841,0.000113881986,0.49500814,0.008969155,0.15182373,0.34279603,0.00006508732],"about_ca_topic_score_codex":0.0020013761,"about_ca_topic_score_gemma":0.0035216445,"teacher_disagreement_score":0.0912878,"about_ca_system_score_codex":0.0005838508,"about_ca_system_score_gemma":0.001324251,"threshold_uncertainty_score":0.3053881},"labels":[],"label_agreement":null},{"id":"W2903299432","doi":"10.1145/3272127.3275047","title":"P <scp>aparazzi</scp>","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Autodesk","keywords":"Computer science; Rendering (computer graphics); Bespoke; Image processing; Vertex (graph theory); Pipeline (software); Computer vision; Artificial intelligence; Digital image processing; Computer graphics (images); Image (mathematics); Theoretical computer science; Graph","score_opus":0.02807383014793371,"score_gpt":0.293906979483483,"score_spread":0.2658331493355493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903299432","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022792036,0.0010010088,0.40044644,0.0071674944,0.0071286107,0.0005812504,0.008847194,0.09886595,0.4736829],"genre_scores_gemma":[0.060247313,0.0025355753,0.2062504,0.0056214347,0.0044580908,0.0010313613,0.021236844,0.06074822,0.63787085],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915564,0.00007751781,0.00003536823,0.00015054674,0.0005089668,0.00007201754],"domain_scores_gemma":[0.99770844,0.00039118054,0.00009428966,0.0006759171,0.00084716285,0.00028299433],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008611226,0.0011761995,0.00080003025,0.0016540926,0.00132628,0.0039787614,0.0029211184,0.002019184,0.4426806],"category_scores_gemma":[0.003950847,0.00069958746,0.00075413287,0.0023988797,0.0011124966,0.002360313,0.0034329484,0.002507644,0.25770712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053907137,0.000026966929,0.00017127114,0.00012864097,0.000009734617,0.0001957956,0.000047380458,0.00061123114,0.004171306,0.009488856,0.8881771,0.096917845],"study_design_scores_gemma":[0.000024966137,0.000023208255,0.00045474325,0.000049969312,0.0000054606485,0.00049936754,0.000026400066,0.009782915,0.007851027,0.008511001,0.97273624,0.00003460666],"about_ca_topic_score_codex":0.0036640947,"about_ca_topic_score_gemma":0.006821202,"teacher_disagreement_score":0.4426806,"about_ca_system_score_codex":0.0012875673,"about_ca_system_score_gemma":0.0010619841,"threshold_uncertainty_score":0.79494846},"labels":[],"label_agreement":null},{"id":"W2903416534","doi":"10.1145/3272127.3275016","title":"Practical multiple scattering for rough surfaces","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Samsung; Defense Advanced Research Projects Agency; H2020 European Research Council; National Research Foundation of Korea","keywords":"Specular reflection; Scattering; Rendering (computer graphics); Computation; Monte Carlo method; Computer science; Global illumination; Ray tracing (physics); Importance sampling; Algorithm; Statistical physics; Mathematical optimization; Optics; Physics; Mathematics; Computer graphics (images)","score_opus":0.06747213177621564,"score_gpt":0.35411424144418124,"score_spread":0.2866421096679656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903416534","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018589916,0.00040590658,0.969638,0.0003432891,0.00009064984,0.00003300392,0.000055857658,0.00034138377,0.010502067],"genre_scores_gemma":[0.77561045,0.001129001,0.20611326,0.00024393457,0.00012280395,0.00014633486,0.00015307969,0.0004387147,0.016042331],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994742,0.00010013144,0.00001481686,0.00007050107,0.00027866274,0.00006174104],"domain_scores_gemma":[0.99930656,0.00032305164,0.00004927705,0.00012520193,0.00015452929,0.000041357318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056962576,0.0007552685,0.00075200043,0.00047323364,0.00053536706,0.0013849317,0.0011913446,0.0014738167,0.003151484],"category_scores_gemma":[0.0019931062,0.00050705625,0.00093287067,0.000320539,0.0010159347,0.0015172029,0.0010996924,0.0012263532,0.00075999065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043575234,0.000054864373,0.00080715393,0.00014587004,0.000026039126,0.00030826256,0.00016617532,0.6764634,0.01205103,0.2827711,0.002332162,0.024830258],"study_design_scores_gemma":[0.0000038599874,0.000007072424,0.00004623906,0.0000055054097,0.0000020836958,0.00006080961,0.0000138904625,0.97555965,0.00086532504,0.022252074,0.0011777895,0.000005756341],"about_ca_topic_score_codex":0.0037517387,"about_ca_topic_score_gemma":0.0024948604,"teacher_disagreement_score":0.0037517387,"about_ca_system_score_codex":0.0011073211,"about_ca_system_score_gemma":0.0008689302,"threshold_uncertainty_score":0.01054275},"labels":[],"label_agreement":null},{"id":"W2903555784","doi":"10.1145/3272127.3275024","title":"Semantic object reconstruction via casual handheld scanning","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Object (grammar); Computer vision; Mobile device; Artificial neural network; Deep learning; Segmentation; Key (lock); Pattern recognition (psychology)","score_opus":0.027310896043752274,"score_gpt":0.23761450715708626,"score_spread":0.21030361111333398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903555784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016105583,0.000089416346,0.98036134,0.000055791836,0.000021707583,0.000048939564,0.00012353914,0.001655935,0.0015377019],"genre_scores_gemma":[0.24420153,0.00020112995,0.7514669,0.00011838658,0.000033273136,0.0000726646,0.00070477126,0.0004486528,0.0027527332],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994729,0.00005845143,0.000017849527,0.00017276555,0.00021215332,0.000065873384],"domain_scores_gemma":[0.9995043,0.00009817904,0.000054909826,0.00021997199,0.00008310024,0.000039504226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044840918,0.0010194723,0.00078229886,0.0009410451,0.00027438244,0.0010090263,0.0016109155,0.00093980285,0.004060932],"category_scores_gemma":[0.0016266148,0.0006581838,0.0007865334,0.0008190469,0.00074596395,0.0015560782,0.0018336576,0.0012333386,0.0013448917],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006267386,0.00013710186,0.0027724644,0.0002635087,0.00012023131,0.0007032164,0.00045758163,0.1350005,0.17724213,0.008668275,0.004232102,0.6697762],"study_design_scores_gemma":[0.00002665981,0.00015638758,0.0018318521,0.000043100245,0.000032546806,0.0009986663,0.00012468068,0.8973138,0.08098868,0.010629935,0.007800562,0.000053128188],"about_ca_topic_score_codex":0.0033104334,"about_ca_topic_score_gemma":0.0058819912,"teacher_disagreement_score":0.004060932,"about_ca_system_score_codex":0.00052178866,"about_ca_system_score_gemma":0.00078932836,"threshold_uncertainty_score":0.01358515},"labels":[],"label_agreement":null},{"id":"W2923183188","doi":"10.1145/3355089.3356494","title":"LOGAN","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Autoencoder; Translation (biology); Artificial neural network; Domain (mathematical analysis); Key (lock); Pattern recognition (psychology); Encoding (memory); Deep learning; Shape analysis (program analysis)","score_opus":0.013793784853277001,"score_gpt":0.2229376142580692,"score_spread":0.2091438294047922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923183188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012563849,0.0020346537,0.8764673,0.0018201254,0.0006755431,0.0002561885,0.004265453,0.02491309,0.07700389],"genre_scores_gemma":[0.3060227,0.0027946313,0.5541314,0.0038046695,0.00033247357,0.0009052564,0.01971158,0.0044268207,0.10787044],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994899,0.0000795053,0.00002736474,0.00014326931,0.00019059658,0.00006930047],"domain_scores_gemma":[0.9995177,0.00013493492,0.000036197776,0.00016094568,0.00010821768,0.000042007858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000632161,0.0010537881,0.00064766174,0.00074235897,0.0005783229,0.0016233588,0.0022277578,0.0010977837,0.031576198],"category_scores_gemma":[0.002459916,0.00039248605,0.0007331099,0.0005645372,0.0006842385,0.0028014118,0.0025983774,0.002016932,0.011773509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041296156,0.00025074917,0.0018650863,0.00052055804,0.00010942746,0.00040084086,0.000099701756,0.15397541,0.00894554,0.111365944,0.13406113,0.5879926],"study_design_scores_gemma":[0.000051687108,0.000118170436,0.0004461622,0.00010811834,0.000032595603,0.00040542544,0.00004214268,0.73265606,0.008319155,0.11256802,0.14520684,0.000045568926],"about_ca_topic_score_codex":0.0027176389,"about_ca_topic_score_gemma":0.0068799644,"teacher_disagreement_score":0.031576198,"about_ca_system_score_codex":0.00097476976,"about_ca_system_score_gemma":0.0013808478,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2943943003","doi":"10.1145/3306346.3322953","title":"Spectral coarsening of geometric operators","year":2019,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"FP7 Ideas: European Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Autodesk","keywords":"Operator (biology); Measure (data warehouse); Eigenvalues and eigenvectors; Multigrid method; Isotropy; Mathematics; Algebraic number; Pooling; Computer science; Algorithm; Applied mathematics; Mathematical analysis; Artificial intelligence; Physics; Data mining","score_opus":0.021933169627458667,"score_gpt":0.23825190375615418,"score_spread":0.2163187341286955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943943003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.094757006,0.00011703488,0.9016028,0.000085649546,0.00005425578,0.000040697636,0.00004970521,0.0005353,0.0027575756],"genre_scores_gemma":[0.6707876,0.00018686922,0.32638678,0.00012144422,0.0000666149,0.00006736582,0.00016582527,0.00033185937,0.0018857002],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994338,0.000073132265,0.000032530326,0.00012543635,0.00026703256,0.00006803958],"domain_scores_gemma":[0.9983071,0.00046587756,0.00024842488,0.0005618533,0.0003150876,0.00010163147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078835007,0.00060216786,0.0004518862,0.0014084767,0.000456555,0.00105547,0.000660052,0.0005243786,0.0021214564],"category_scores_gemma":[0.004723603,0.00029130702,0.0004357394,0.00067744305,0.0013599778,0.0016682348,0.001280296,0.0010211203,0.00033347076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032011128,0.00015110608,0.00300982,0.00022652773,0.00007286505,0.00024221823,0.0006566203,0.24805802,0.39130095,0.1518072,0.001684713,0.20246992],"study_design_scores_gemma":[0.000017802555,0.00020499947,0.003189084,0.000024089863,0.000024101008,0.00028503567,0.00013541357,0.7972635,0.13860661,0.05375045,0.006435952,0.00006293257],"about_ca_topic_score_codex":0.0010408072,"about_ca_topic_score_gemma":0.0013694402,"teacher_disagreement_score":0.0021214564,"about_ca_system_score_codex":0.0006476346,"about_ca_system_score_gemma":0.000532205,"threshold_uncertainty_score":0.0070969462},"labels":[],"label_agreement":null},{"id":"W2946285945","doi":"10.1145/3377406","title":"A Smoothness Energy without Boundary Distortion for Curved Surfaces","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Composite Material Mechanics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Hessian matrix; Covariant transformation; Biharmonic equation; Discretization; Boundary (topology); Smoothness; Dirichlet's energy; Dirichlet boundary condition; Quadratic equation; Dirichlet distribution","score_opus":0.02290240776543182,"score_gpt":0.22336415884286331,"score_spread":0.2004617510774315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946285945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1043669,0.00026491325,0.86964464,0.0005670654,0.00014418448,0.000068597474,0.00017862981,0.0008838201,0.023881238],"genre_scores_gemma":[0.71548885,0.00025786913,0.26623258,0.00019368593,0.000032048873,0.000053719024,0.0003302526,0.0006905953,0.016720358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996284,0.000052878586,0.00001879717,0.000048221405,0.00021308202,0.000038522492],"domain_scores_gemma":[0.9996363,0.00009900131,0.000019833751,0.00012355707,0.000092347684,0.000028980472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041127193,0.0003935855,0.00039608913,0.00034874468,0.00044044037,0.0010102296,0.00065725954,0.00081768073,0.0051394403],"category_scores_gemma":[0.0018724576,0.00030295664,0.000448636,0.00030527325,0.00094138284,0.001435094,0.0011843662,0.0009420925,0.00080095703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016953029,0.00016644347,0.0014727889,0.00028871786,0.000031436306,0.00021273628,0.00036745882,0.38265708,0.09861585,0.39710206,0.0059590926,0.11295677],"study_design_scores_gemma":[0.000016826729,0.00005595238,0.0005525494,0.000017730685,0.00000645838,0.00014667881,0.00005149455,0.9360991,0.011842443,0.04425549,0.0069296537,0.000025544508],"about_ca_topic_score_codex":0.0028060966,"about_ca_topic_score_gemma":0.0026754872,"teacher_disagreement_score":0.0051394403,"about_ca_system_score_codex":0.00058109633,"about_ca_system_score_gemma":0.0005310225,"threshold_uncertainty_score":0.017193139},"labels":[],"label_agreement":null},{"id":"W2949035602","doi":"10.1145/3306346.3322989","title":"Star-shaped metrics for mechanical metamaterial design","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale pour le Développement de la Recherche Universitaire; Agence Nationale de la Recherche","keywords":"Isotropy; Orthotropic material; Metamaterial; Star (game theory); Voronoi diagram; Set (abstract data type); Computer science; Range (aeronautics); Interpolation (computer graphics); Topology (electrical circuits); Materials science; Structural engineering; Physics; Geometry; Mathematics; Computer graphics (images); Animation; Mathematical analysis; Engineering; Composite material; Optics; Finite element method","score_opus":0.0202390805144209,"score_gpt":0.2231398361299942,"score_spread":0.2029007556155733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949035602","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005655978,0.00020026974,0.99065405,0.00006376336,0.000050425482,0.000026777836,0.000032712876,0.00014344827,0.0031726223],"genre_scores_gemma":[0.22041355,0.0004440239,0.775102,0.00008864866,0.000046963145,0.00015860285,0.00012040062,0.00022507101,0.0034007698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957496,0.00014688315,0.00002315984,0.00004849659,0.00018227904,0.000024256518],"domain_scores_gemma":[0.9994444,0.00020103695,0.00005651116,0.00008889241,0.00014979744,0.00005936359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005972053,0.0005412821,0.00035074726,0.0009704618,0.00040925152,0.00077336427,0.0006263968,0.0004885014,0.0019761578],"category_scores_gemma":[0.0019326095,0.00026784034,0.00039125734,0.00046126058,0.0007664063,0.0009391114,0.0010410785,0.0005231959,0.00075066154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005797573,0.000032260723,0.00045043058,0.00024044648,0.000028903327,0.00011223283,0.00018324835,0.14932995,0.046851955,0.7021973,0.0028017445,0.09771357],"study_design_scores_gemma":[0.000024820976,0.000107711756,0.000167228,0.000039846927,0.0000099223935,0.00024375111,0.00004842977,0.6837612,0.024701493,0.24222632,0.048626218,0.00004302756],"about_ca_topic_score_codex":0.00038774402,"about_ca_topic_score_gemma":0.0008157064,"teacher_disagreement_score":0.0019761578,"about_ca_system_score_codex":0.00055448944,"about_ca_system_score_gemma":0.0004500907,"threshold_uncertainty_score":0.00661093},"labels":[],"label_agreement":null},{"id":"W2952669938","doi":"10.1145/3230635","title":"Volume Path Guiding Based on Zero-Variance Random Walk Theory","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Grantová Agentura České Republiky; Univerzita Karlova v Praze","keywords":"Radiance; Importance sampling; Global illumination; Computer science; Path tracing; Sampling (signal processing); Path (computing); Scattering; Algorithm; Variance reduction; Roulette; Variance (accounting); Monte Carlo method; Mathematical optimization; Rendering (computer graphics); Mathematics; Statistics; Computer vision; Optics; Physics; Geometry","score_opus":0.0197339073871463,"score_gpt":0.25945802678233004,"score_spread":0.23972411939518373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952669938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069560376,0.00008226097,0.9904474,0.00005487282,0.0000211111,0.000025136507,0.000024280866,0.00025796378,0.002130873],"genre_scores_gemma":[0.3510641,0.00039124995,0.64021415,0.00016586515,0.000056550383,0.00025691767,0.00018296605,0.00067672046,0.0069915536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996743,0.00008596445,0.000009140398,0.000038535505,0.00015475813,0.000037217338],"domain_scores_gemma":[0.99929035,0.0003812946,0.00006492454,0.00009136882,0.00012026688,0.000051677027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054392515,0.0005941715,0.00056218967,0.00066414656,0.000588992,0.0012676651,0.0011266067,0.0006811685,0.0025279038],"category_scores_gemma":[0.0020418377,0.00039428778,0.0005664091,0.00037298404,0.0009902691,0.0010931784,0.0013098384,0.0011612953,0.0006695265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012073838,0.00007396522,0.0006437394,0.00011712928,0.000030205818,0.00012387634,0.00024016161,0.6036469,0.023742015,0.31820473,0.002547144,0.050509408],"study_design_scores_gemma":[0.000008918515,0.000016155462,0.000045285564,0.0000074437007,0.000002867805,0.000026303072,0.0000090225685,0.97474617,0.0019592268,0.021688798,0.0014786157,0.000011115881],"about_ca_topic_score_codex":0.0027205169,"about_ca_topic_score_gemma":0.0034499592,"teacher_disagreement_score":0.0027205169,"about_ca_system_score_codex":0.0010591581,"about_ca_system_score_gemma":0.0011273726,"threshold_uncertainty_score":0.008456647},"labels":[],"label_agreement":null},{"id":"W2956434516","doi":"10.1145/3306346.3323029","title":"Symmetric moving frames","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Mathematics; Field (mathematics); Polygon mesh; Initialization; Vector field; Symmetry (geometry); Algorithm; Tangent; Nonlinear system; Computer science; Topology (electrical circuits); Geometry; Pure mathematics","score_opus":0.015567554383434436,"score_gpt":0.24226941935088406,"score_spread":0.22670186496744962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956434516","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013527746,0.00019800922,0.97389936,0.00013825222,0.00017641562,0.000058802878,0.00017680705,0.0005200902,0.011304504],"genre_scores_gemma":[0.31842637,0.00056645216,0.6590828,0.00033691147,0.0001843083,0.00025682442,0.00081586296,0.00084328785,0.019487204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996742,0.00005851234,0.000014773399,0.000087139415,0.00012517335,0.000040221083],"domain_scores_gemma":[0.99966383,0.00006629875,0.00004250949,0.0001015654,0.00009426719,0.000031521093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006348003,0.0007541875,0.00057600695,0.000809199,0.0005778816,0.0015106156,0.0011527187,0.0009784409,0.011513341],"category_scores_gemma":[0.0015562782,0.00038565954,0.0005709986,0.0006384532,0.00084944104,0.0013403383,0.0013187156,0.0011435285,0.0025258823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016109782,0.000056420773,0.0006233176,0.00012054869,0.000024605713,0.00017503722,0.00025530893,0.13953453,0.024698237,0.6882468,0.008282919,0.13782121],"study_design_scores_gemma":[0.00005441167,0.00018483627,0.0005067304,0.00004748564,0.000018946756,0.00024003889,0.00015063009,0.7803715,0.01618122,0.14608961,0.056104746,0.00004987184],"about_ca_topic_score_codex":0.001350088,"about_ca_topic_score_gemma":0.0012625091,"teacher_disagreement_score":0.011513341,"about_ca_system_score_codex":0.000606332,"about_ca_system_score_gemma":0.00047959475,"threshold_uncertainty_score":0.038515985},"labels":[],"label_agreement":null},{"id":"W2956858012","doi":"10.1145/3306346.3323018","title":"Hierarchical russian roulette for vertex connections","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Roulette; Vertex (graph theory); Computer science; Path (computing); Ray tracing (physics); Path tracing; Hypercube; Probabilistic logic; Specular reflection; Algorithm; Combinatorics; Mathematics; Theoretical computer science; Computer graphics (images); Artificial intelligence; Rendering (computer graphics); Physics; Parallel computing; Optics; Geometry","score_opus":0.02149905865894444,"score_gpt":0.2866763920604638,"score_spread":0.2651773334015194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956858012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022842735,0.000060382074,0.973343,0.000041542007,0.00002278477,0.000056957615,0.000033469383,0.0012787409,0.002320425],"genre_scores_gemma":[0.31326538,0.00009778292,0.67988473,0.00007602758,0.000027023674,0.00021519866,0.00028297878,0.0005748271,0.0055760737],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992755,0.00011518855,0.0000317581,0.0001482195,0.00032286395,0.0001065063],"domain_scores_gemma":[0.99841726,0.000518896,0.00013102483,0.0005348677,0.0003256896,0.00007230195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005830453,0.0006912147,0.0006484013,0.0008786747,0.0008991084,0.0011110107,0.0016621739,0.00088272704,0.0057473546],"category_scores_gemma":[0.0038761161,0.00040087468,0.0009774338,0.0006125636,0.00065017893,0.0012991626,0.0017982988,0.0011202866,0.0015423424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006062519,0.00019387575,0.0035002762,0.00022160455,0.00009535985,0.00029606858,0.00079239317,0.31562468,0.063842915,0.11548506,0.0050634854,0.4942781],"study_design_scores_gemma":[0.000026811153,0.000067237655,0.00025667413,0.000011675309,0.000016563492,0.00010378863,0.000043282955,0.96347046,0.015946003,0.015327619,0.0047083343,0.000021461383],"about_ca_topic_score_codex":0.0032165574,"about_ca_topic_score_gemma":0.005324856,"teacher_disagreement_score":0.0057473546,"about_ca_system_score_codex":0.0006972087,"about_ca_system_score_gemma":0.001231854,"threshold_uncertainty_score":0.01922679},"labels":[],"label_agreement":null},{"id":"W2957040220","doi":"10.1145/3306346.3322939","title":"An adaptive variational finite difference framework for efficient symmetric octree viscosity","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Octree; Inviscid flow; Finite element method; Discretization; Viscosity; Finite volume method; Computer science; Grid; Mathematics; Computational science; Mechanics; Applied mathematics; Geometry; Mathematical analysis; Algorithm; Physics","score_opus":0.02963318712678743,"score_gpt":0.2965289736306277,"score_spread":0.26689578650384027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957040220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047796844,0.00004550614,0.9937087,0.000053195217,0.000017746212,0.000025728556,0.00002733522,0.00016257986,0.0011794922],"genre_scores_gemma":[0.15207128,0.00014457399,0.8435751,0.00010314909,0.000030471192,0.00021941622,0.00013122386,0.00038535197,0.003339377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997298,0.00006419074,0.000014535711,0.000027708324,0.00013386374,0.000029906403],"domain_scores_gemma":[0.9995276,0.00017768561,0.000049635637,0.00006778561,0.00012694635,0.000050429066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006449122,0.00041754398,0.0004854246,0.00044801805,0.0004385919,0.0007681882,0.0016395663,0.00071980525,0.0021010302],"category_scores_gemma":[0.0017911862,0.0003885551,0.00054777344,0.00033872182,0.0006875814,0.00065814145,0.0013780441,0.0012504845,0.00067727716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006360793,0.000081656835,0.00079883216,0.000100307814,0.00002768754,0.00012404259,0.00019401203,0.7737813,0.027653482,0.12898782,0.0017280959,0.06645914],"study_design_scores_gemma":[0.000004692674,0.000008058031,0.00001777967,0.0000029143366,0.0000010672788,0.000009793421,0.000004128368,0.9944522,0.0008208471,0.0034360266,0.0012387835,0.0000037601983],"about_ca_topic_score_codex":0.005320766,"about_ca_topic_score_gemma":0.005611396,"teacher_disagreement_score":0.005320766,"about_ca_system_score_codex":0.0007181817,"about_ca_system_score_gemma":0.0013467913,"threshold_uncertainty_score":0.010579586},"labels":[],"label_agreement":null},{"id":"W2957323419","doi":"10.1145/3306346.3322963","title":"Physics-based full-body soccer motion control for dribbling and shooting","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea","keywords":"Ball (mathematics); Motion (physics); Motion capture; Computer science; Artificial intelligence; Computer vision; Motion control; Simulation; Control theory (sociology); Control (management); Mathematics; Robot; Geometry","score_opus":0.01390649150953893,"score_gpt":0.23104239665206627,"score_spread":0.21713590514252734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957323419","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03193986,0.0001603401,0.9622615,0.000085371226,0.000055102566,0.00008592813,0.00004363422,0.0013974154,0.003970956],"genre_scores_gemma":[0.9188202,0.0001438171,0.0779106,0.00006196223,0.000021808055,0.00012746167,0.00012265096,0.000082365405,0.0027092039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986136,0.000017524955,0.0000072539883,0.000040201692,0.000058589696,0.000014970602],"domain_scores_gemma":[0.9998591,0.000038945516,0.000024842924,0.000019671646,0.000040259456,0.00001715147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256955,0.0004585718,0.00034754555,0.00022446258,0.00029713352,0.0003665913,0.0004928011,0.00031914393,0.002042131],"category_scores_gemma":[0.000547226,0.0002568913,0.00028889798,0.000097133096,0.00033005833,0.00027281736,0.0006153293,0.00038991353,0.00037516828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031810728,0.00017320736,0.0009900256,0.0003500637,0.000072670206,0.00023195925,0.00032315138,0.5932217,0.18755494,0.0074897897,0.0021468813,0.20712753],"study_design_scores_gemma":[0.000028835426,0.00013521667,0.00056715024,0.000012135322,0.000011774472,0.000040473802,0.000017630642,0.98599815,0.009182986,0.0010257843,0.0029684515,0.000011358267],"about_ca_topic_score_codex":0.0033752613,"about_ca_topic_score_gemma":0.003459489,"teacher_disagreement_score":0.0033752613,"about_ca_system_score_codex":0.00021837548,"about_ca_system_score_gemma":0.0004887308,"threshold_uncertainty_score":0.006831646},"labels":[],"label_agreement":null},{"id":"W2957328186","doi":"10.1145/3306346.3322982","title":"Direct delta mush skinning and variants","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Skinning; Computer science; Simple (philosophy); Quality (philosophy); Algorithm; Image (mathematics); Artificial intelligence; Engineering","score_opus":0.010617810373206653,"score_gpt":0.20859999128325157,"score_spread":0.1979821809100449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957328186","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010910237,0.00012044855,0.9844095,0.00004474176,0.00004996447,0.00006254775,0.000019867028,0.0011643725,0.0032183619],"genre_scores_gemma":[0.21067208,0.00025419463,0.78048956,0.000112412556,0.00003304441,0.0000934717,0.00016101895,0.0007522576,0.00743194],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947053,0.00005552364,0.000043726464,0.00016117739,0.00021345106,0.000055600154],"domain_scores_gemma":[0.99909675,0.0002999822,0.000056289566,0.00030183283,0.00017941478,0.00006573678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006760715,0.000776888,0.00066454295,0.0006897384,0.00042425908,0.0011526088,0.0016687132,0.00069170265,0.006527189],"category_scores_gemma":[0.0022200635,0.0004873368,0.0006246331,0.00063493854,0.001231726,0.0014833417,0.002363596,0.0012588168,0.0016105176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026840947,0.00008692176,0.0011930282,0.00023937372,0.000033469547,0.00017583712,0.00029044217,0.13395317,0.037714176,0.04987621,0.0038841928,0.77228475],"study_design_scores_gemma":[0.00004305905,0.00013221284,0.00036505028,0.000029928393,0.000019473144,0.00045717662,0.000119161494,0.9145636,0.045767583,0.025868123,0.012598686,0.00003589339],"about_ca_topic_score_codex":0.0009042434,"about_ca_topic_score_gemma":0.0016819623,"teacher_disagreement_score":0.006527189,"about_ca_system_score_codex":0.00039119972,"about_ca_system_score_gemma":0.00048572893,"threshold_uncertainty_score":0.021835625},"labels":[],"label_agreement":null},{"id":"W2957764147","doi":"10.1145/3306346.3323022","title":"CurviSlicer","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Chinese University of Hong Kong; Agence Nationale de la Recherche; National Science Foundation","keywords":"Slicing; Fabrication; Planar; Fused filament fabrication; Surface (topology); Solver; Stacking; Deposition (geology); Computer science; Focus (optics); Regular polygon; Plane (geometry); Deformation (meteorology); Geometry; Materials science; Computational science; Computer graphics (images); Composite material; Optics; 3D printing; Mathematics; Geology; Physics","score_opus":0.01353868047615412,"score_gpt":0.21624924181691546,"score_spread":0.20271056134076135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957764147","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014587239,0.00036026732,0.86551297,0.0004766381,0.00033143046,0.00017869427,0.0039762305,0.04080197,0.07377452],"genre_scores_gemma":[0.21844101,0.0006321823,0.6689054,0.00040266122,0.00006748115,0.0003919535,0.011357895,0.012378032,0.087423384],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996239,0.000024473107,0.000020514888,0.000104248385,0.00018106803,0.00004587255],"domain_scores_gemma":[0.99962306,0.00006432543,0.000031884116,0.00014551642,0.000097934455,0.000037239002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002990353,0.000981149,0.0005963368,0.0005588881,0.00066461763,0.0017960593,0.0015166554,0.0009982465,0.066479065],"category_scores_gemma":[0.0011019553,0.000523574,0.0010190227,0.0006460613,0.00049477065,0.0012944341,0.001851262,0.0011757995,0.017877592],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043805043,0.0001490329,0.0029955874,0.00060095807,0.00006721906,0.00038547372,0.0002876067,0.15370461,0.041682966,0.12504183,0.11901765,0.5556291],"study_design_scores_gemma":[0.00007636733,0.00011527067,0.0007775907,0.0000687566,0.000023336679,0.00042776548,0.000078510515,0.6028091,0.028526077,0.026559083,0.34046653,0.000071656366],"about_ca_topic_score_codex":0.0031267134,"about_ca_topic_score_gemma":0.006245972,"teacher_disagreement_score":0.066479065,"about_ca_system_score_codex":0.00068466936,"about_ca_system_score_gemma":0.0010822811,"threshold_uncertainty_score":0.22239459},"labels":[],"label_agreement":null},{"id":"W2958407396","doi":"10.1145/3306346.3322946","title":"Compact snapshot hyperspectral imaging with diffracted rotation","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; Samsung; Institute for Information and Communications Technology Promotion; Electronics and Telecommunications Research Institute; National Research Foundation of Korea; SK Hynix","keywords":"Hyperspectral imaging; Optics; Spectral imaging; Snapshot (computer storage); Coded aperture; Computer science; Imaging spectrometer; Point spread function; Wavelength; Chromatic aberration; Physics; Artificial intelligence; Detector; Chromatic scale; Spectrometer","score_opus":0.00816286932517825,"score_gpt":0.2120902456833104,"score_spread":0.20392737635813213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958407396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074594215,0.00016511689,0.9224139,0.00008678407,0.000018255356,0.00002737687,0.000078955425,0.0007167208,0.0018986957],"genre_scores_gemma":[0.22577322,0.00022637847,0.77158386,0.000054962413,0.00001454531,0.000057343004,0.00017023193,0.00007679016,0.0020426216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977046,0.000035902594,0.000009272815,0.00006660947,0.00009951405,0.000018180448],"domain_scores_gemma":[0.99967194,0.00008976926,0.00006128976,0.000085106185,0.000069050635,0.000022973927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024035395,0.00061312586,0.00038769486,0.00021423964,0.00015449486,0.0005095789,0.0005725684,0.00038298336,0.0009834587],"category_scores_gemma":[0.00048688176,0.00031742678,0.0002799023,0.00030061806,0.00040665315,0.0011659091,0.0007534145,0.0005994473,0.00044618113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013372475,0.00007564339,0.0005732464,0.000118241725,0.000023136843,0.00012448552,0.00013684256,0.036514115,0.8825192,0.008221351,0.0006092111,0.07095079],"study_design_scores_gemma":[0.00001766358,0.0001420986,0.0006092154,0.000009839377,0.00001044618,0.00023630791,0.000045044962,0.50324243,0.4900315,0.0022701714,0.0033461556,0.00003916016],"about_ca_topic_score_codex":0.00051915145,"about_ca_topic_score_gemma":0.001111836,"teacher_disagreement_score":0.0009834587,"about_ca_system_score_codex":0.00042045515,"about_ca_system_score_gemma":0.00037238112,"threshold_uncertainty_score":0.003289938},"labels":[],"label_agreement":null},{"id":"W2960081125","doi":"10.1145/3306346.3322942","title":"Multi-robot collaborative dense scene reconstruction","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Google (Canada); University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Robot; Computer science; Benchmark (surveying); Task (project management); Artificial intelligence; Computer vision; Set (abstract data type); Engineering","score_opus":0.013721791767619545,"score_gpt":0.22122992983036485,"score_spread":0.20750813806274532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960081125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014597327,0.000066913446,0.9831018,0.000046391688,0.0000110180035,0.000026160858,0.000044845056,0.0009797597,0.0011257549],"genre_scores_gemma":[0.3127379,0.00008455379,0.68431985,0.000059847593,0.000014267202,0.00007412722,0.00022257336,0.00020193575,0.002285021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994899,0.00009350421,0.000016348087,0.000118193864,0.00022572682,0.000056219847],"domain_scores_gemma":[0.99938107,0.00016677847,0.00007214255,0.0002570178,0.00008583783,0.00003706398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047240997,0.00076883566,0.0008311048,0.0006623798,0.00043549997,0.00075892056,0.0014302357,0.0010010527,0.0024376218],"category_scores_gemma":[0.0010926625,0.00059955014,0.0008228704,0.00072466966,0.0006166324,0.0011424463,0.0018150139,0.0008175611,0.0006362728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002568562,0.00012430946,0.0014803087,0.0001486788,0.00012140529,0.0002922684,0.00029697645,0.7510858,0.0516626,0.0074589876,0.0026062024,0.18446566],"study_design_scores_gemma":[0.00001199823,0.000049039514,0.00030861908,0.000004550072,0.000008387368,0.00013868231,0.000036698093,0.98593396,0.009746355,0.0021108899,0.001637389,0.000013376607],"about_ca_topic_score_codex":0.0025056647,"about_ca_topic_score_gemma":0.0052041914,"teacher_disagreement_score":0.0025056647,"about_ca_system_score_codex":0.00042316853,"about_ca_system_score_gemma":0.0009577597,"threshold_uncertainty_score":0.008154631},"labels":[],"label_agreement":null},{"id":"W2960158485","doi":"10.1145/3306346.3322978","title":"Creating impactful characters","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Institute for Computing, Information and Cognitive Systems; Killam Trusts; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Acceleration; Motion capture; Computer science; Jump; Motion (physics); Accelerometer; Computer vision; Artificial intelligence; Inertial measurement unit; Dynamics (music); Simulation; Motion analysis; Acoustics; Physics","score_opus":0.013273347291997004,"score_gpt":0.2706079183904091,"score_spread":0.25733457109841207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960158485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1764647,0.0022267452,0.657046,0.0008782863,0.0018041636,0.0013650039,0.0018592027,0.018830635,0.13952532],"genre_scores_gemma":[0.54918796,0.0019639481,0.35874158,0.00039878153,0.0003833421,0.0007556643,0.0029310822,0.0040798597,0.08155785],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943215,0.00010501091,0.000024926227,0.00013983126,0.00022555821,0.00007253236],"domain_scores_gemma":[0.9993011,0.0002092561,0.000047040503,0.00018065826,0.00012944992,0.00013246946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044376153,0.0015385374,0.00041707337,0.00096969696,0.0006747301,0.001990149,0.0011427292,0.00081699295,0.028536346],"category_scores_gemma":[0.0027127913,0.00045752001,0.00077542244,0.0005284285,0.00056896784,0.0018404988,0.0036076186,0.00061226333,0.0059372974],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057018665,0.00023298738,0.0046662088,0.0015365222,0.0001412993,0.0019341795,0.0034372346,0.0132745765,0.124361016,0.017699135,0.040106416,0.7920401],"study_design_scores_gemma":[0.0001318045,0.0009819977,0.017892634,0.0005720381,0.00025397414,0.0050641866,0.0029935462,0.1060647,0.12528877,0.01644859,0.72409123,0.00021655911],"about_ca_topic_score_codex":0.00023332243,"about_ca_topic_score_gemma":0.000557799,"teacher_disagreement_score":0.028536346,"about_ca_system_score_codex":0.00029121368,"about_ca_system_score_gemma":0.00019437098,"threshold_uncertainty_score":0.095463574},"labels":[],"label_agreement":null},{"id":"W2960202457","doi":"10.1145/3306346.3322941","title":"PlanIT","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":207,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"FP7 Ideas: European Research Council; National Science Foundation","keywords":"Computer science; Scene graph; Graph; Relation (database); Generative model; Artificial intelligence; Spatial relation; Representation (politics); Theoretical computer science; Set (abstract data type); Generative grammar; Data mining; Rendering (computer graphics); Programming language","score_opus":0.01302205938873805,"score_gpt":0.2537439968164512,"score_spread":0.24072193742771317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960202457","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015873673,0.00037650118,0.9102837,0.00068884395,0.00028282692,0.00024189045,0.003124317,0.03296761,0.050446935],"genre_scores_gemma":[0.06825519,0.0007673282,0.8454546,0.0009434745,0.00016353418,0.00074248266,0.013144113,0.009237201,0.061292134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919254,0.00013747715,0.000047098052,0.00023669396,0.0002819533,0.00010432552],"domain_scores_gemma":[0.9995198,0.000111937465,0.000033487508,0.00018944211,0.00010257765,0.000042694795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007882133,0.0014997006,0.0007003132,0.0011297879,0.0009505751,0.00339281,0.0031975189,0.0013828245,0.07979538],"category_scores_gemma":[0.0022251988,0.00081884325,0.0019732756,0.0008244314,0.0011095882,0.0039934427,0.0034949721,0.0020282122,0.025732333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002513933,0.00011709476,0.00073737884,0.0006535036,0.00007042472,0.000341397,0.00029877204,0.044158287,0.00362993,0.46410054,0.13048936,0.35515192],"study_design_scores_gemma":[0.00007125749,0.00008179215,0.00025673147,0.00014460011,0.000041174655,0.0003632831,0.000085305284,0.2670994,0.0073300847,0.227057,0.49741963,0.000049706858],"about_ca_topic_score_codex":0.0059121842,"about_ca_topic_score_gemma":0.012142273,"teacher_disagreement_score":0.07979538,"about_ca_system_score_codex":0.0015867815,"about_ca_system_score_gemma":0.001819408,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2960223772","doi":"10.1145/3306346.3323011","title":"TriWild","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Connaught Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Polygon mesh; Curvilinear coordinates; Robustness (evolution); Computer science; Algorithm; Feature (linguistics); Computer graphics (images); Geometry; Mathematics","score_opus":0.019907997788812203,"score_gpt":0.27643495841531096,"score_spread":0.25652696062649877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960223772","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004887475,0.00015135488,0.97058,0.00014318599,0.0002628224,0.00010194284,0.0006972061,0.012215404,0.010960599],"genre_scores_gemma":[0.06943194,0.00028852487,0.9025713,0.00031517431,0.000076993805,0.0002747935,0.0050699087,0.0052335346,0.016737793],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993025,0.00006958792,0.000045716497,0.00015776232,0.0003634977,0.00006091782],"domain_scores_gemma":[0.9992095,0.00011740353,0.000048483853,0.00033664735,0.00023246763,0.000055393695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006166647,0.00074652006,0.0006268761,0.0013465168,0.00064668513,0.0018774843,0.0024759383,0.001442212,0.021400051],"category_scores_gemma":[0.0018263462,0.0006174322,0.0009604791,0.0010715383,0.0005230206,0.0022352939,0.002150109,0.0012627575,0.0116210915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002759727,0.00014384666,0.001904949,0.000438668,0.00010522862,0.00039123825,0.000371182,0.08996099,0.059574757,0.08313062,0.08947201,0.6742306],"study_design_scores_gemma":[0.000057050805,0.00017343872,0.0005969543,0.0000539534,0.000019963654,0.0007759078,0.00007999281,0.71456075,0.03586207,0.028011553,0.2197218,0.000086595435],"about_ca_topic_score_codex":0.001315317,"about_ca_topic_score_gemma":0.0022775733,"teacher_disagreement_score":0.021400051,"about_ca_system_score_codex":0.00042759965,"about_ca_system_score_gemma":0.00065500155,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2960856481","doi":"10.1145/3306346.3322975","title":"Visual smoothness of polyhedral surfaces","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Austrian Science Fund","keywords":"Polygon mesh; Vertex (graph theory); Curvature; Principal curvature; Saddle; Smoothness; Surface (topology); Representation (politics); Computer science; Mathematics; Pyramid (geometry); Mean curvature; Saddle point; Face (sociological concept); Geometry; Combinatorics; Mathematical optimization; Graph; Mathematical analysis","score_opus":0.010054235749894362,"score_gpt":0.22945689904070515,"score_spread":0.2194026632908108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960856481","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12724961,0.000282907,0.860064,0.0005381047,0.000053361902,0.00006459395,0.0002793104,0.0009370626,0.010531052],"genre_scores_gemma":[0.87861615,0.0003362652,0.11494141,0.000090832174,0.000039835013,0.00006355626,0.00035797362,0.0006031793,0.0049509094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945647,0.000107290856,0.00002327102,0.000092994465,0.0002685326,0.00005144549],"domain_scores_gemma":[0.9991906,0.0003148892,0.00007188331,0.00019816411,0.00015233176,0.00007213225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000612658,0.0004645696,0.00043077,0.0010859113,0.00036929396,0.0022477873,0.00053345383,0.0007336225,0.0032511048],"category_scores_gemma":[0.003559937,0.00045105623,0.00045494712,0.00053252,0.0013900965,0.0014630272,0.0015263791,0.0011057904,0.00060945016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004717429,0.00007341682,0.003384343,0.00041406244,0.000067846384,0.00053729676,0.0014724431,0.3381011,0.12633978,0.3596285,0.006127947,0.1633815],"study_design_scores_gemma":[0.000039100672,0.00014091723,0.0052144746,0.0000786887,0.000028502394,0.00077153224,0.0004801711,0.7014496,0.02117175,0.2523115,0.018233528,0.00008028088],"about_ca_topic_score_codex":0.00069128186,"about_ca_topic_score_gemma":0.0005804435,"teacher_disagreement_score":0.0032511048,"about_ca_system_score_codex":0.00051481085,"about_ca_system_score_gemma":0.00023398227,"threshold_uncertainty_score":0.0108760595},"labels":[],"label_agreement":null},{"id":"W2961508920","doi":"10.1145/3306346.3323034","title":"Vibration-minimizing motion retargeting for robotic characters","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Retargeting; Animation; Computer science; Salient; Computer animation; Motion (physics); Artificial intelligence; Computer vision; Constraint (computer-aided design); Vibration; Metric (unit); Software; Dynamics (music); Virtual reality; Interactive skeleton-driven simulation; Coupling (piping); Simulation; Computer graphics (images); Acoustics; Computer facial animation; Engineering; Physics; Mechanical engineering","score_opus":0.01795967457393823,"score_gpt":0.22167805457468553,"score_spread":0.2037183800007473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961508920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06928138,0.00010668683,0.9251302,0.00006149368,0.000025402069,0.0000482477,0.00002521446,0.0032406622,0.0020806328],"genre_scores_gemma":[0.7035881,0.00011362293,0.29154634,0.00007939138,0.000014660138,0.00010228986,0.00009570082,0.00089148595,0.0035683624],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.000043262404,0.000007672153,0.000047480484,0.00004727675,0.000017433144],"domain_scores_gemma":[0.9997009,0.00014459532,0.000048264654,0.00005252571,0.000028405952,0.000025418965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002955553,0.00057391165,0.00033631883,0.00024098062,0.0001956579,0.00022292207,0.00058549,0.00040955847,0.0022060827],"category_scores_gemma":[0.0012556799,0.0003134389,0.00027285088,0.00011065655,0.00038237064,0.00035490634,0.0007132055,0.00040354292,0.00052822934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002813684,0.00009518474,0.0006181996,0.00019068974,0.00003270266,0.00033758619,0.0005465168,0.2933353,0.512454,0.0046249176,0.0016542994,0.18582925],"study_design_scores_gemma":[0.000028731605,0.00014276318,0.0005508572,0.000014008277,0.000011906142,0.00014293224,0.000041576935,0.94309986,0.050128784,0.0021222406,0.0036978382,0.000018437606],"about_ca_topic_score_codex":0.00068899465,"about_ca_topic_score_gemma":0.00078835833,"teacher_disagreement_score":0.0022060827,"about_ca_system_score_codex":0.00022550169,"about_ca_system_score_gemma":0.00017457962,"threshold_uncertainty_score":0.0073800683},"labels":[],"label_agreement":null},{"id":"W2962360676","doi":"10.1145/3306346.3322996","title":"Hyperparameter optimization in black-box image processing using differentiable proxies","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Computer science; Black box; Software; Pipeline (software); Artificial intelligence; Convolutional neural network; Image processing; Computer engineering; Computer hardware; Real-time computing; Image (mathematics)","score_opus":0.01982256747076111,"score_gpt":0.27517203226417114,"score_spread":0.25534946479341003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962360676","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04979074,0.00042821353,0.941132,0.00030125407,0.000030066209,0.000060435083,0.00010653127,0.0050250553,0.0031256],"genre_scores_gemma":[0.68883944,0.0002237154,0.30371982,0.00052406755,0.000032410404,0.00024864107,0.00042184326,0.0014593586,0.004530734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994087,0.00020580667,0.000030285984,0.00015917633,0.000116976706,0.00007904057],"domain_scores_gemma":[0.9988669,0.0006842978,0.00011650859,0.00014282705,0.00012945874,0.000060079157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013266172,0.001774997,0.0011117619,0.00066285534,0.00042341993,0.0015257862,0.0014198892,0.0016384528,0.0034032643],"category_scores_gemma":[0.0046265153,0.00083142443,0.000853379,0.0005436585,0.0014510493,0.0015359956,0.0014945164,0.0019053438,0.0010215626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086988126,0.00003706131,0.0006711714,0.000061018225,0.000033767014,0.000069060334,0.000050283877,0.9552995,0.0028976817,0.004760866,0.001377063,0.034655493],"study_design_scores_gemma":[0.000006764615,0.000010589093,0.000060031074,0.000005283805,0.000003130524,0.0000074651016,0.0000049296714,0.9968309,0.00076995394,0.002062075,0.00023493257,0.0000039443917],"about_ca_topic_score_codex":0.005135507,"about_ca_topic_score_gemma":0.00636871,"teacher_disagreement_score":0.005135507,"about_ca_system_score_codex":0.0017188403,"about_ca_system_score_gemma":0.0014602635,"threshold_uncertainty_score":0.01247108},"labels":[],"label_agreement":null},{"id":"W2962780613","doi":"10.1145/3272127.3275008","title":"SCORES","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Feature (linguistics); Encoding (memory); Substructure; Code (set theory); Algorithm; Artificial neural network; Range (aeronautics); Artificial intelligence; Autoencoder; Pattern recognition (psychology); Topology (electrical circuits); Set (abstract data type); Mathematics","score_opus":0.01886306742438699,"score_gpt":0.2345501880263377,"score_spread":0.21568712060195072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962780613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0130400965,0.0011906462,0.8342996,0.0025269436,0.0014854079,0.0005511415,0.010517642,0.02451399,0.111874595],"genre_scores_gemma":[0.29424646,0.0020376563,0.5085916,0.0026914794,0.00088094594,0.0011012887,0.036064204,0.0068583097,0.14752807],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804723,0.00028377536,0.00012463423,0.00050847535,0.00081224693,0.00022351238],"domain_scores_gemma":[0.9986092,0.00029343166,0.000091371694,0.00035725633,0.0005203167,0.00012834945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011998957,0.0018279438,0.00092810934,0.0016035135,0.00079519436,0.0030608068,0.002401884,0.0013975572,0.08222902],"category_scores_gemma":[0.007701322,0.0005033099,0.0010299094,0.001093346,0.000814544,0.0040941564,0.0030658324,0.0018084386,0.029474633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000253475,0.00016048823,0.0039035478,0.00036240416,0.00012397359,0.00020400257,0.00011615073,0.03572696,0.0030556135,0.13458103,0.14178805,0.6797244],"study_design_scores_gemma":[0.000116180796,0.00022213961,0.001619655,0.00016553709,0.000097127784,0.00050308614,0.00011719882,0.32974654,0.0074509317,0.3288828,0.33098397,0.000094880445],"about_ca_topic_score_codex":0.0036390265,"about_ca_topic_score_gemma":0.007714178,"teacher_disagreement_score":0.08222902,"about_ca_system_score_codex":0.0011779155,"about_ca_system_score_gemma":0.0019612012,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2962909976","doi":"10.1145/3197517.3201286","title":"Full 3D reconstruction of transparent objects","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Silhouette; Opacity; Computer vision; Computer science; Projection (relational algebra); Artificial intelligence; Refraction; Surface (topology); Object (grammar); Consistency (knowledge bases); Smoothness; Computer graphics (images); Surface reconstruction; Optics; Mathematics; Algorithm; Geometry; Physics","score_opus":0.036976314578703935,"score_gpt":0.2949340865318608,"score_spread":0.2579577719531569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962909976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02300696,0.00019006472,0.9738269,0.00005344737,0.000021899641,0.000031923468,0.00019470636,0.0012368344,0.0014372879],"genre_scores_gemma":[0.33226204,0.0009311867,0.66067415,0.00010426792,0.000039852464,0.00009935519,0.0014666944,0.00082395255,0.0035985387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994505,0.00005210176,0.00002270224,0.00008554264,0.00033831448,0.00005069283],"domain_scores_gemma":[0.99952555,0.00008377191,0.000055426965,0.00020996324,0.00008915764,0.00003620531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004298884,0.0015673693,0.0008702231,0.0010876666,0.00036649505,0.0016958533,0.00088909257,0.0011621248,0.0020711913],"category_scores_gemma":[0.0012725779,0.0012355073,0.0018292353,0.00067378295,0.0006661675,0.0011480389,0.0022288032,0.0013439034,0.0014349062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025196446,0.000067722125,0.002047731,0.00045237705,0.00018411083,0.0012582758,0.0005909722,0.46473244,0.24914818,0.015089169,0.0040879794,0.2620891],"study_design_scores_gemma":[0.000014437864,0.000056718058,0.00088706997,0.00003090812,0.000031833308,0.0007475636,0.00008311857,0.9430379,0.04222786,0.0062790276,0.00654509,0.0000584656],"about_ca_topic_score_codex":0.0024686556,"about_ca_topic_score_gemma":0.002861304,"teacher_disagreement_score":0.0024686556,"about_ca_system_score_codex":0.00031872618,"about_ca_system_score_gemma":0.0010561313,"threshold_uncertainty_score":0.006928861},"labels":[],"label_agreement":null},{"id":"W2962930898","doi":"10.1145/3306346.3323004","title":"Surface2Volume","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Partition (number theory); Robustness (evolution); Computer science; Segmentation; Surface (topology); Topology (electrical circuits); Algorithm; Computational science; Theoretical computer science; Mathematics; Geometry; Artificial intelligence; Combinatorics","score_opus":0.010253135627828798,"score_gpt":0.20187094038814027,"score_spread":0.19161780476031148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962930898","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035364009,0.0008634466,0.78181535,0.0007159976,0.0005690342,0.00037031432,0.007814246,0.090459704,0.11385546],"genre_scores_gemma":[0.08563382,0.0016299967,0.73561144,0.0010555129,0.00027580533,0.0011597655,0.0409648,0.04979798,0.0838709],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882895,0.00011849174,0.00007621085,0.00024645356,0.00059548474,0.00013441556],"domain_scores_gemma":[0.99902856,0.00024398859,0.00004837781,0.00034557038,0.00025209493,0.00008139661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009413666,0.0020032045,0.0014469919,0.0017213917,0.0013265617,0.0051045893,0.0046830312,0.002365191,0.1717125],"category_scores_gemma":[0.0033356308,0.0012824397,0.002622679,0.0017089036,0.0009995169,0.0043752086,0.0045547774,0.0024138247,0.058532994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036608562,0.00014337077,0.0013756251,0.0011361877,0.000120392026,0.00032744865,0.00034146372,0.054909892,0.01149974,0.18542245,0.36762595,0.37673143],"study_design_scores_gemma":[0.0001114233,0.0000551222,0.0003825398,0.00010530942,0.000027909222,0.00032544625,0.00009284469,0.18529508,0.009708287,0.09889028,0.7049418,0.00006394287],"about_ca_topic_score_codex":0.0031067657,"about_ca_topic_score_gemma":0.005270358,"teacher_disagreement_score":0.1717125,"about_ca_system_score_codex":0.0012560999,"about_ca_system_score_gemma":0.0015051428,"threshold_uncertainty_score":0.5744356},"labels":[],"label_agreement":null},{"id":"W2963550224","doi":"10.1145/3360510","title":"A System for Efficient 3D Printed Stop-motion Face Animation","year":2019,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Animation; Computer science; Computer graphics (images); Computer animation; Skeletal animation; Computer facial animation; Polygon mesh; Motion capture; Interactive skeleton-driven simulation; Frame (networking); Facial motion capture; Computer vision; Artificial intelligence; Motion (physics); Pattern recognition (psychology)","score_opus":0.022710137435977325,"score_gpt":0.24407652347489542,"score_spread":0.2213663860389181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963550224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070115165,0.000119803815,0.8907788,0.0000958649,0.00011179784,0.0003441772,0.0005302669,0.09652982,0.004477974],"genre_scores_gemma":[0.103890605,0.00022591665,0.87191737,0.00029392313,0.00008748048,0.0007819383,0.0029933706,0.008405383,0.011403998],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992016,0.00008346634,0.00005940466,0.00018971568,0.000389275,0.00007658586],"domain_scores_gemma":[0.9992312,0.00022380869,0.000036544545,0.00027452884,0.00015070754,0.00008323067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010935387,0.0013032249,0.0010319867,0.0011043651,0.00073458126,0.0014393308,0.0027257279,0.0018078905,0.034572646],"category_scores_gemma":[0.0026578761,0.00088090537,0.001375726,0.00051967375,0.00074057793,0.0015135088,0.002850567,0.0014785075,0.010901505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001281035,0.00043956263,0.0014606947,0.0005887405,0.0001693903,0.0005618567,0.00050136924,0.044872712,0.22725506,0.013201582,0.0545653,0.65510267],"study_design_scores_gemma":[0.0003108166,0.0005935505,0.001964768,0.00008716115,0.00007581493,0.00091945054,0.000083286584,0.7365925,0.15482521,0.0073302756,0.097028606,0.0001886196],"about_ca_topic_score_codex":0.0016715579,"about_ca_topic_score_gemma":0.001590498,"teacher_disagreement_score":0.034572646,"about_ca_system_score_codex":0.0006105245,"about_ca_system_score_gemma":0.0009638545,"threshold_uncertainty_score":0.11565697},"labels":[],"label_agreement":null},{"id":"W2963601843","doi":"10.1145/3303766","title":"GRAINS","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Autoencoder; Encoding (memory); Object (grammar); Computer vision; Decoding methods; Pattern recognition (psychology); Encoder; Semantics (computer science); Segmentation; Generative model; Generative grammar; Artificial neural network; Algorithm","score_opus":0.0113186223023719,"score_gpt":0.20802341010121997,"score_spread":0.19670478779884806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963601843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006962551,0.00021358939,0.9669298,0.00016838081,0.0001256274,0.0000807253,0.0011135353,0.006044746,0.01836115],"genre_scores_gemma":[0.26770487,0.0004923916,0.693303,0.00051327393,0.00008414148,0.0002805635,0.0058070384,0.0028133742,0.029001318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997186,0.00003263681,0.000010875975,0.000107826614,0.00009734803,0.000032681844],"domain_scores_gemma":[0.99979323,0.000053188618,0.000014628823,0.000079533296,0.00004233761,0.000017050208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023644671,0.0007477956,0.00046933274,0.00058644894,0.00038694253,0.0011350829,0.0011835672,0.0007823458,0.021330895],"category_scores_gemma":[0.0009138023,0.0004915136,0.00115768,0.000465208,0.0005652,0.0010883491,0.0013819239,0.0008902513,0.005531617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018843138,0.00010164141,0.001959596,0.00038139077,0.000138178,0.00036877528,0.00020898908,0.42045817,0.0311979,0.1324188,0.03398359,0.37859455],"study_design_scores_gemma":[0.000022233202,0.000052880874,0.00043640044,0.000029302717,0.000027113636,0.00022812287,0.000030917712,0.8835872,0.013339533,0.043073595,0.059142884,0.000029892144],"about_ca_topic_score_codex":0.0031378097,"about_ca_topic_score_gemma":0.008776043,"teacher_disagreement_score":0.021330895,"about_ca_system_score_codex":0.000604763,"about_ca_system_score_gemma":0.0006122123,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2963758538","doi":"10.1145/3211889","title":"Joint Stabilization and Direction of 360° Videos","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Parallax; Ghosting; Image warping; Headset; Image stitching; Computer graphics (images); View synthesis; Point (geometry); Video tracking; Video processing; Rendering (computer graphics)","score_opus":0.017084633945146532,"score_gpt":0.23187751671469686,"score_spread":0.21479288276955033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963758538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030118695,0.00015404726,0.9662399,0.00006056679,0.00005257013,0.000037442514,0.000050250914,0.0003961405,0.0028904572],"genre_scores_gemma":[0.6739914,0.00032149907,0.31890357,0.00005996958,0.00006366267,0.00013345116,0.00036286027,0.0002195578,0.005944093],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999688,0.0000527372,0.000012718055,0.00010746155,0.000100611316,0.00003844423],"domain_scores_gemma":[0.9997793,0.000046527224,0.000041025683,0.000037991114,0.0000692095,0.000025972502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330478,0.00080810866,0.00042915792,0.0003357889,0.00023451049,0.00056122354,0.00059076387,0.00050129107,0.0023046515],"category_scores_gemma":[0.0013610538,0.0002953049,0.00036637834,0.00034656288,0.00036038642,0.0005623563,0.0007367918,0.0006233924,0.00072026876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050944916,0.00008366686,0.0016988167,0.00015013988,0.00004656065,0.00010359645,0.0002544724,0.4146382,0.11641667,0.01670303,0.002958006,0.44643742],"study_design_scores_gemma":[0.000025263405,0.00019022675,0.00087979174,0.000016548944,0.000011352174,0.00007104981,0.000057926318,0.9710758,0.020023867,0.0024809465,0.0051405993,0.000026611784],"about_ca_topic_score_codex":0.0029736864,"about_ca_topic_score_gemma":0.00240962,"teacher_disagreement_score":0.0029736864,"about_ca_system_score_codex":0.00029034654,"about_ca_system_score_gemma":0.0005771046,"threshold_uncertainty_score":0.007709801},"labels":[],"label_agreement":null},{"id":"W2964213305","doi":"10.1145/3272127.3275040","title":"Continuous and orientation-preserving correspondences via functional maps","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Pointwise; Orientation (vector space); Computer science; Artificial intelligence; Invariant (physics); Bijection; Landmark; Mathematics; Algorithm; Computer vision; Pattern recognition (psychology); Geometry","score_opus":0.016583956368465193,"score_gpt":0.22796056546788615,"score_spread":0.21137660909942096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964213305","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006182483,0.00004265821,0.99236506,0.00003176368,0.00001075799,0.000026702388,0.000045893903,0.0006501515,0.0006444058],"genre_scores_gemma":[0.220947,0.00018042818,0.77527606,0.00006745549,0.000043550215,0.0001494965,0.00048638872,0.00067328016,0.0021763418],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866056,0.00021102259,0.00005864526,0.00028999065,0.00068131986,0.00009837384],"domain_scores_gemma":[0.998659,0.00043385098,0.00016271259,0.00038637564,0.00028795362,0.00007004277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010759605,0.0013566144,0.0010779939,0.002674359,0.00065011723,0.0018179865,0.0019229733,0.0013641691,0.0033689188],"category_scores_gemma":[0.0055863266,0.00069833687,0.0013587764,0.0020002155,0.001368624,0.0025017133,0.0027715743,0.001612817,0.0018180332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020766354,0.00014099179,0.001086069,0.00032553865,0.000091091584,0.00027133786,0.0004306579,0.38248158,0.05101796,0.06498593,0.00330595,0.49565524],"study_design_scores_gemma":[0.000017981278,0.000120469005,0.0003877398,0.000019904444,0.000020359956,0.00025595707,0.00009687104,0.93052906,0.019854838,0.043766208,0.0048974133,0.00003309383],"about_ca_topic_score_codex":0.002495512,"about_ca_topic_score_gemma":0.0024212317,"teacher_disagreement_score":0.0033689188,"about_ca_system_score_codex":0.00076036365,"about_ca_system_score_gemma":0.0012202355,"threshold_uncertainty_score":0.011270165},"labels":[],"label_agreement":null},{"id":"W2981241579","doi":"10.1145/3355621","title":"Schur Complement-based Substructuring of Stiff Multibody Systems with Contact","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Schur complement; Computer science; Domain decomposition methods; Constraint (computer-aided design); Algorithm; Parallel computing; Mathematical optimization; Computational science; Mathematics; Finite element method; Geometry; Structural engineering","score_opus":0.008652681616731517,"score_gpt":0.20164718613136362,"score_spread":0.1929945045146321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981241579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07498539,0.00007373464,0.91489625,0.0000881451,0.000039596245,0.00009474942,0.00009058754,0.0006996022,0.009031871],"genre_scores_gemma":[0.53444624,0.00008160389,0.46099898,0.0000757041,0.000022313687,0.00019531879,0.00025675027,0.00025403674,0.0036690843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997582,0.000048618393,0.00000981136,0.000027719101,0.00012577356,0.000030013598],"domain_scores_gemma":[0.9994999,0.00023926361,0.00004957376,0.000099598576,0.00007387067,0.00003781284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029559646,0.0007045557,0.00060276187,0.00045275933,0.000684246,0.0006212258,0.001108104,0.0008923728,0.0039676786],"category_scores_gemma":[0.0011351402,0.0003897491,0.00058896875,0.0003628095,0.00086673925,0.00076324574,0.0012514681,0.0009563108,0.0006220607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005680698,0.0000665254,0.0006544435,0.00008829218,0.00003419888,0.00014671707,0.00014837235,0.9204519,0.024108099,0.022581765,0.00081289903,0.030850017],"study_design_scores_gemma":[0.0000045360516,0.00000885121,0.000040504416,0.0000026636974,0.0000013402255,0.0000122437905,0.0000061733795,0.9952088,0.0026316915,0.0016191874,0.000460908,0.0000031955008],"about_ca_topic_score_codex":0.005432629,"about_ca_topic_score_gemma":0.0077130105,"teacher_disagreement_score":0.005432629,"about_ca_system_score_codex":0.0006033772,"about_ca_system_score_gemma":0.001142658,"threshold_uncertainty_score":0.0132731795},"labels":[],"label_agreement":null},{"id":"W2982955716","doi":"10.1145/3355089.3356502","title":"Non-linear sphere tracing for rendering deformed signed distance fields","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"National Science Foundation","keywords":"Rendering (computer graphics); Signed distance function; Skinning; Computer science; Mathematics; Computation; Ray tracing (physics); Distance transform; Polygon mesh; Algorithm; Geometry; Computer vision","score_opus":0.023395913870080783,"score_gpt":0.28707498601848064,"score_spread":0.26367907214839986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982955716","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00542087,0.000027160346,0.9917293,0.000047083166,0.000033554163,0.00003161153,0.000021663243,0.001208994,0.0014797028],"genre_scores_gemma":[0.22905876,0.00019104395,0.7642587,0.000062090774,0.000028288221,0.000091053225,0.00013121996,0.0010854445,0.005093444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996051,0.000058396698,0.000021526299,0.00003305779,0.00025445185,0.000027438717],"domain_scores_gemma":[0.9993771,0.00030379405,0.000037288184,0.00012618545,0.000115869836,0.00003976877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005355153,0.0006521866,0.00041294767,0.00050801295,0.00033971414,0.0010268531,0.00086188066,0.0007402993,0.005202782],"category_scores_gemma":[0.0022854905,0.00028724407,0.0005312139,0.00042391647,0.000731457,0.00085541717,0.001174538,0.0010458665,0.0011299137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024680127,0.00013191337,0.00096997956,0.00023077363,0.00002983903,0.00039919495,0.0008290497,0.3847185,0.12046015,0.178805,0.0062626675,0.30691606],"study_design_scores_gemma":[0.000018183953,0.000024398883,0.000056434317,0.000007850914,0.000002690144,0.00006933428,0.000020124695,0.9643618,0.023375224,0.0068934807,0.005157843,0.000012668637],"about_ca_topic_score_codex":0.0020242743,"about_ca_topic_score_gemma":0.0025764192,"teacher_disagreement_score":0.005202782,"about_ca_system_score_codex":0.00062357605,"about_ca_system_score_gemma":0.0009741528,"threshold_uncertainty_score":0.017404974},"labels":[],"label_agreement":null},{"id":"W2983579636","doi":"10.1145/3355089.3356559","title":"Integral formulations of volumetric transmittance","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Univerzita Karlova v Praze; National Science Foundation","keywords":"Estimator; Transmittance; Monte Carlo method; Control variates; Computer science; Variance reduction; Mathematical optimization; Scattering; Variance (accounting); Intuition; Algorithm; Statistical physics; Mathematics; Hybrid Monte Carlo; Applied mathematics; Optics; Statistics; Markov chain Monte Carlo; Physics","score_opus":0.019069671403398613,"score_gpt":0.27571734192760666,"score_spread":0.25664767052420806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983579636","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036114508,0.00011107402,0.9938105,0.000074944364,0.000017722641,0.000018829327,0.000033782846,0.00009478384,0.0022269988],"genre_scores_gemma":[0.40604225,0.0014263762,0.5802085,0.0004457594,0.00019807738,0.00035547768,0.00035050357,0.000533852,0.010439315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990095,0.00022172235,0.000046141744,0.00015744226,0.0004810098,0.000084229694],"domain_scores_gemma":[0.9976693,0.0013037247,0.00023366263,0.00026336918,0.00044186536,0.00008808908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025245526,0.0007905625,0.0005596955,0.0012555717,0.00037288075,0.0022259566,0.001767389,0.0012475395,0.0035185334],"category_scores_gemma":[0.009712526,0.00045070576,0.00080303807,0.0008391712,0.0012892005,0.0035234082,0.0018288698,0.0015489543,0.0005600087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004911165,0.000060362352,0.0008406257,0.0001354061,0.000035218014,0.00010848325,0.0002626174,0.25314677,0.008850249,0.6900406,0.0011704923,0.045300033],"study_design_scores_gemma":[0.00000786563,0.000023083454,0.00022138348,0.000026653071,0.000014014086,0.00009013247,0.000034272536,0.880817,0.0027278184,0.1137929,0.0022260973,0.000018674502],"about_ca_topic_score_codex":0.001207579,"about_ca_topic_score_gemma":0.00095585483,"teacher_disagreement_score":0.0035185334,"about_ca_system_score_codex":0.0012300899,"about_ca_system_score_gemma":0.0008307169,"threshold_uncertainty_score":0.013351262},"labels":[],"label_agreement":null},{"id":"W2983951224","doi":"10.1145/3355089.3356573","title":"RPM-Net","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"","keywords":"Pointwise; Point cloud; Net (polyhedron); Computer science; Artificial intelligence; Segmentation; Sequence (biology); Encoder; Motion (physics); Object (grammar); Point (geometry); Set (abstract data type); Artificial neural network; Computer vision; Deep learning; Recurrent neural network; Variety (cybernetics); Algorithm; Pattern recognition (psychology); Mathematics; Geometry","score_opus":0.010686418880993412,"score_gpt":0.2063730048067857,"score_spread":0.19568658592579227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983951224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018231872,0.0016685923,0.74167836,0.0012886125,0.0009274719,0.0004654162,0.021607062,0.1386444,0.07548827],"genre_scores_gemma":[0.21264325,0.0016643379,0.63352114,0.0020857921,0.00022553369,0.0009732108,0.07388396,0.007358749,0.067644015],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996594,0.00003456727,0.000021318305,0.00011853339,0.00011132548,0.000054834978],"domain_scores_gemma":[0.9997404,0.00005645764,0.000018249697,0.00008531998,0.00006935711,0.00003017663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004224076,0.001356761,0.000646495,0.0006298153,0.00035572032,0.0015189188,0.0035199027,0.0011448958,0.033259943],"category_scores_gemma":[0.0016040059,0.00055931765,0.00089812075,0.0005032008,0.00042711486,0.0023155988,0.0019926603,0.0014909976,0.014977326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084629114,0.00032797107,0.0024872336,0.0009007463,0.00019321934,0.0004902838,0.00008336287,0.18102653,0.010926645,0.052627794,0.2429685,0.50712144],"study_design_scores_gemma":[0.00009644161,0.00015709098,0.00044205153,0.00007628411,0.000045809214,0.00023285436,0.000029861263,0.8345731,0.0106735015,0.037983745,0.11564355,0.00004580249],"about_ca_topic_score_codex":0.0047729905,"about_ca_topic_score_gemma":0.009190567,"teacher_disagreement_score":0.033259943,"about_ca_system_score_codex":0.0008475984,"about_ca_system_score_gemma":0.0012808718,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2984176888","doi":"10.1145/3355089.3356509","title":"Extrusion-based ceramics printing with strictly-continuous deposition","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fused deposition modeling; Path (computing); Smoothness; Computer science; Layer (electronics); Extrusion; Set (abstract data type); Ceramic; 3D printing; Deposition (geology); Fabrication; Stack (abstract data type); Thermoplastic; Transfer (computing); Algorithm; Engineering drawing; Mechanical engineering; Materials science; Nanotechnology; Mathematics; Engineering; Composite material; Geology; Parallel computing","score_opus":0.007828164507015832,"score_gpt":0.19216993644400682,"score_spread":0.18434177193699097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984176888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01518407,0.00005739336,0.9814191,0.000034569424,0.000014688362,0.000050196293,0.000047406294,0.0012097757,0.001982759],"genre_scores_gemma":[0.16239735,0.0000685198,0.8347911,0.000027051648,0.000008826871,0.00007281495,0.00015076232,0.00030851277,0.0021750734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949825,0.000039569368,0.00002678858,0.0001075369,0.00029173016,0.000036188336],"domain_scores_gemma":[0.9995629,0.00016964342,0.00004952887,0.000120559016,0.000070506525,0.000026719357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037457826,0.00086172385,0.0006111314,0.0005708468,0.0003892963,0.0008944162,0.0011896346,0.0008110366,0.0031536988],"category_scores_gemma":[0.001068378,0.0006504358,0.0010091696,0.00049021235,0.00064363074,0.0006868463,0.0012472057,0.0009933388,0.0010367725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019232079,0.000117567164,0.0012643288,0.0003132321,0.000072575815,0.0004295964,0.00034516703,0.5716046,0.12439659,0.016538877,0.0026805745,0.28204456],"study_design_scores_gemma":[0.00003451209,0.0001088463,0.0002825718,0.000014452167,0.000020453703,0.00026929652,0.000026848706,0.9465395,0.041408516,0.0045829876,0.0066840197,0.000028081658],"about_ca_topic_score_codex":0.0016726945,"about_ca_topic_score_gemma":0.0029260002,"teacher_disagreement_score":0.0031536988,"about_ca_system_score_codex":0.0004486418,"about_ca_system_score_gemma":0.00097297627,"threshold_uncertainty_score":0.010550201},"labels":[],"label_agreement":null},{"id":"W2984567007","doi":"10.1145/3355089.3356504","title":"Computational LEGO technic design","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese University of Hong Kong","keywords":"Sketch; Set (abstract data type); Connection (principal bundle); Brick; Simple (philosophy); Cover (algebra)","score_opus":0.018815058219889793,"score_gpt":0.22122863814176671,"score_spread":0.20241357992187692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984567007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032034528,0.0000955051,0.9866334,0.00009196214,0.000047632995,0.000094497176,0.00026138654,0.0018544338,0.0077177566],"genre_scores_gemma":[0.09535886,0.00021366702,0.8950814,0.00011839481,0.000031164793,0.00043994904,0.0009951481,0.0013333638,0.0064281314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906546,0.00018292187,0.000047577156,0.00014930671,0.00048926246,0.00006554124],"domain_scores_gemma":[0.99877554,0.000508679,0.000074607466,0.0004269217,0.00014964523,0.00006458832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010112369,0.0015652283,0.0009658851,0.0016167453,0.0008429909,0.0031087927,0.0020686265,0.0016201532,0.024498401],"category_scores_gemma":[0.0044206255,0.0010877511,0.0018955473,0.0008026119,0.001447098,0.0021676074,0.00325816,0.0017193707,0.0040167035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018887412,0.00011886602,0.0017878917,0.0009938815,0.00013809348,0.00043551507,0.00072714756,0.40600887,0.018443536,0.22521715,0.020565026,0.3253752],"study_design_scores_gemma":[0.000039796345,0.0000639781,0.00023599644,0.000091860784,0.000021710852,0.00021245869,0.00008788813,0.866615,0.004857448,0.07081975,0.056917347,0.000036631354],"about_ca_topic_score_codex":0.0010896486,"about_ca_topic_score_gemma":0.0026410962,"teacher_disagreement_score":0.024498401,"about_ca_system_score_codex":0.0009453551,"about_ca_system_score_gemma":0.0010546251,"threshold_uncertainty_score":0.08195531},"labels":[],"label_agreement":null},{"id":"W2985209850","doi":"10.1145/3355089.3356514","title":"Checkerboard patterns with black rectangles","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Polygon mesh; Checkerboard; Diagonal; Volume mesh; Computer science; Integer (computer science); Mathematics; Computer graphics (images); Geometry; Mesh generation; Engineering; Finite element method","score_opus":0.013406366388505963,"score_gpt":0.22449910994542144,"score_spread":0.21109274355691549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985209850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08503735,0.0002264106,0.81998473,0.0003597525,0.0003433447,0.000114796676,0.00046927689,0.0012517774,0.09221252],"genre_scores_gemma":[0.60911727,0.00028420024,0.36469078,0.0003262019,0.000054933505,0.00017759358,0.00067077787,0.0006305036,0.0240477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971193,0.000054674147,0.000019508769,0.000059291546,0.00010438571,0.000050107315],"domain_scores_gemma":[0.99960417,0.000096420925,0.00005619604,0.000111261164,0.00008686863,0.000045105076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017714922,0.0004322675,0.0002575203,0.00046773092,0.00040900326,0.0012148948,0.00043343852,0.00053430896,0.011498011],"category_scores_gemma":[0.0014200297,0.0003491747,0.00047254036,0.00038727355,0.0007168405,0.00095537596,0.000912932,0.0006587863,0.0016945822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039106363,0.00007105312,0.0019485543,0.00026835402,0.000043961856,0.00096875604,0.0003702922,0.14451335,0.08286126,0.59607714,0.016925901,0.15556031],"study_design_scores_gemma":[0.00012824524,0.0002461487,0.0022843303,0.00015352812,0.00003996321,0.0012335525,0.00036406948,0.5725832,0.052190635,0.23411085,0.13658412,0.00008142052],"about_ca_topic_score_codex":0.00082233344,"about_ca_topic_score_gemma":0.0011193143,"teacher_disagreement_score":0.011498011,"about_ca_system_score_codex":0.00029091787,"about_ca_system_score_gemma":0.00028811736,"threshold_uncertainty_score":0.038464665},"labels":[],"label_agreement":null},{"id":"W2985840885","doi":"10.1145/3355089.3356488","title":"SDM-NET","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":253,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Centre for Applied Computing and Interactive Media, City University of Hong Kong; Youth Innovation Promotion Association; Natural Science Foundation of Beijing Municipality; SenseTime Group; City University of Hong Kong; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China; Tencent","keywords":"Polygon mesh; Computer science; Net (polyhedron); Autoencoder; Interpolation (computer graphics); Artificial intelligence; Set (abstract data type); Artificial neural network; Surface (topology); Computer vision; Topology (electrical circuits); Computer graphics (images); Geometry; Image (mathematics); Mathematics","score_opus":0.010677638415246613,"score_gpt":0.20642237829029522,"score_spread":0.19574473987504862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985840885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0156171955,0.0014072402,0.88936895,0.0011471476,0.0007273798,0.00028331875,0.008298863,0.04406215,0.039087705],"genre_scores_gemma":[0.26289794,0.0012564915,0.6511538,0.002057662,0.00019231158,0.00088093773,0.032621425,0.0039329617,0.045006514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997048,0.000035889727,0.000018610044,0.00009640047,0.00010027773,0.000044106066],"domain_scores_gemma":[0.99971336,0.00008279128,0.000015918577,0.000082461585,0.000075051204,0.000030336676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000448384,0.0011160892,0.00066796347,0.00066991977,0.00040603027,0.0012605038,0.0030474886,0.0014290158,0.024824154],"category_scores_gemma":[0.0017590533,0.00053005107,0.0010612452,0.0005551888,0.00050560327,0.0017988415,0.0020029186,0.0017440593,0.008368261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003648933,0.00022172616,0.0018527939,0.0005019044,0.0001669002,0.00032571828,0.00005946684,0.47836486,0.0065005757,0.054932673,0.10108223,0.35562617],"study_design_scores_gemma":[0.000032651915,0.000044220993,0.00009618739,0.000021056667,0.000013009605,0.00007273114,0.000007905728,0.95514995,0.002787917,0.020193575,0.02156928,0.000011624338],"about_ca_topic_score_codex":0.0048249476,"about_ca_topic_score_gemma":0.010481457,"teacher_disagreement_score":0.024824154,"about_ca_system_score_codex":0.0011469377,"about_ca_system_score_gemma":0.001389622,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2986981065","doi":"10.1145/3355089.3356540","title":"Curve-pleated structures","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Austrian Science Fund","keywords":"Discretization; Mathematics; Geometry; Computation; Triangle mesh; Algorithm; Polygon mesh; Mathematical analysis","score_opus":0.009954101878419771,"score_gpt":0.21718470099352108,"score_spread":0.2072305991151013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986981065","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38398474,0.0007149526,0.55432904,0.00022905598,0.00017165835,0.00011764389,0.00038500247,0.00057437975,0.059493564],"genre_scores_gemma":[0.88150615,0.00034424406,0.08958819,0.00010426903,0.00004210508,0.00006415098,0.00042211587,0.00022626352,0.027702447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977094,0.000028684752,0.000012344667,0.00007026689,0.00008466466,0.00003309223],"domain_scores_gemma":[0.99958426,0.00008132003,0.00007920221,0.00014103427,0.0000679028,0.000046221598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586692,0.00035295056,0.00024913892,0.0005810839,0.00051766215,0.0012428677,0.00051558897,0.00080298824,0.00830161],"category_scores_gemma":[0.0009649833,0.00033742838,0.00039107463,0.00041672084,0.0009231687,0.0012341494,0.0007638587,0.0006530306,0.0015869432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021342182,0.00008569128,0.0023425848,0.00027319646,0.00005398166,0.0019440223,0.0006800031,0.13415742,0.129904,0.65386575,0.0030965824,0.07338335],"study_design_scores_gemma":[0.000091903414,0.00058472843,0.004420159,0.00012149498,0.000038808103,0.006575521,0.0006345812,0.48203737,0.09153695,0.31988218,0.093968526,0.00010775998],"about_ca_topic_score_codex":0.00017961631,"about_ca_topic_score_gemma":0.0001780963,"teacher_disagreement_score":0.00830161,"about_ca_system_score_codex":0.00034961072,"about_ca_system_score_gemma":0.00016973204,"threshold_uncertainty_score":0.027771652},"labels":[],"label_agreement":null},{"id":"W2987431950","doi":"10.1145/3355089.3356524","title":"ZoomOut","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Upsampling; Initialization; Computer science; Algorithm; Code (set theory); Range (aeronautics); Function (biology); Noise (video); Artificial intelligence; Image (mathematics)","score_opus":0.010493946526321775,"score_gpt":0.20612415972211032,"score_spread":0.19563021319578855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987431950","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008153909,0.00031194097,0.93870753,0.00023948429,0.0002828173,0.0001788711,0.0010383842,0.025523435,0.025563722],"genre_scores_gemma":[0.08798982,0.0003432727,0.8788218,0.00031196533,0.000053306983,0.00022391151,0.001979357,0.005755132,0.024521403],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968445,0.000019767764,0.000011711944,0.00008087772,0.00016492936,0.00003826796],"domain_scores_gemma":[0.9996662,0.000058813755,0.000020389149,0.00013771966,0.00007621466,0.000040622166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032534028,0.0009988591,0.00050033827,0.0013090768,0.00080274005,0.0013337497,0.001588539,0.0007878517,0.052516844],"category_scores_gemma":[0.0014511434,0.0006143844,0.0007535129,0.0007135743,0.0004974759,0.0014727918,0.0025913147,0.0011480761,0.012065329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002728906,0.000092209,0.0010708852,0.0004321359,0.00008299201,0.00026439753,0.00048391594,0.016247816,0.06534255,0.043288697,0.057406902,0.8150146],"study_design_scores_gemma":[0.000083352235,0.00014898092,0.0021687185,0.00013957688,0.00006416297,0.00085942575,0.0003207442,0.33927193,0.1544676,0.04480085,0.45753482,0.00013981042],"about_ca_topic_score_codex":0.0033247971,"about_ca_topic_score_gemma":0.009162576,"teacher_disagreement_score":0.052516844,"about_ca_system_score_codex":0.0004933914,"about_ca_system_score_gemma":0.0009521859,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2987687807","doi":"10.1145/3355089.3356543","title":"Mandoline","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo; University of Toronto","funders":"Connaught Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Hexahedron; Intersection (aeronautics); Surface (topology); Grid; Topology (electrical circuits); Geometry; Regular grid; Computer science; Manifold (fluid mechanics); Volume mesh; Mesh generation; Plane (geometry); Computational geometry; Correctness; Cartesian coordinate system; Representation (politics); Algorithm; Mathematics; Finite element method; Combinatorics; Physics","score_opus":0.019025566293996574,"score_gpt":0.27795462051202174,"score_spread":0.25892905421802515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987687807","genre_codex":"other","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061901705,0.0026597872,0.017024739,0.0027116998,0.0015881966,0.00016548109,0.0045207455,0.0059929,0.95914626],"genre_scores_gemma":[0.05333116,0.0029065455,0.018578082,0.0014702389,0.00035578798,0.00020983885,0.008260663,0.0026102655,0.91227734],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899715,0.00009008709,0.000052032552,0.00035176097,0.00038748933,0.00012140777],"domain_scores_gemma":[0.9991154,0.00013231834,0.00005996987,0.00023016222,0.00031142044,0.00015061146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051660504,0.0011198529,0.0009924169,0.0018646732,0.002860957,0.004171934,0.0018361318,0.0023164516,0.4591982],"category_scores_gemma":[0.0021045192,0.00055901305,0.0006715018,0.0016914724,0.0008000836,0.0033137137,0.0040074717,0.001974009,0.2940851],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073077466,0.00019177014,0.0025856353,0.0007734785,0.000040568848,0.0015480196,0.0005338793,0.0025682,0.008766165,0.115708195,0.36940518,0.4971482],"study_design_scores_gemma":[0.000026646218,0.000038514412,0.00052337354,0.00010110316,0.000009499098,0.00047197126,0.00012493377,0.0011774591,0.0017744496,0.0065629412,0.9891704,0.000018823614],"about_ca_topic_score_codex":0.003370985,"about_ca_topic_score_gemma":0.005602495,"teacher_disagreement_score":0.4591982,"about_ca_system_score_codex":0.0012021775,"about_ca_system_score_gemma":0.0014008378,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2987886924","doi":"10.1145/3355089.3356536","title":"DReCon","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ubisoft (Canada); McGill University","funders":"Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Motion capture; Character animation; Animation; Kinematics; Reinforcement learning; Controller (irrigation); Motion (physics); Artificial intelligence; Inverse kinematics; Matching (statistics); Character (mathematics); Trajectory; Computer vision; Computer animation; Simulation; Robot; Computer graphics (images)","score_opus":0.012562307730800758,"score_gpt":0.20852366163068795,"score_spread":0.1959613538998872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987886924","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011333906,0.0018888313,0.09871047,0.002171636,0.0018772483,0.000492645,0.015239053,0.055204164,0.81308204],"genre_scores_gemma":[0.1034971,0.0016192907,0.049153507,0.0017432711,0.00032292778,0.0006471358,0.030486085,0.010306761,0.80222386],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993892,0.00006989079,0.000029704323,0.00018923842,0.00022145576,0.00010056196],"domain_scores_gemma":[0.9992648,0.00009754075,0.000031321324,0.00023470148,0.00021781737,0.00015376355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063054566,0.0014209638,0.0009996283,0.0011981718,0.001085963,0.0027262243,0.0019266815,0.0016233703,0.44061264],"category_scores_gemma":[0.0014738111,0.00054248015,0.00074680534,0.0007837755,0.00044116064,0.0016900348,0.0028709138,0.0016738671,0.25518578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001219546,0.00035061894,0.0020295384,0.00062554027,0.00006260931,0.0006552805,0.00024115597,0.006829602,0.016588083,0.036734585,0.45599797,0.47866544],"study_design_scores_gemma":[0.00012497681,0.000117149735,0.00090399006,0.00007819521,0.000020770553,0.00031952898,0.000071269016,0.01068026,0.0055607106,0.0069019143,0.9751844,0.00003696073],"about_ca_topic_score_codex":0.0030791587,"about_ca_topic_score_gemma":0.0037836581,"teacher_disagreement_score":0.44061264,"about_ca_system_score_codex":0.00089770195,"about_ca_system_score_gemma":0.0009038924,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2989002472","doi":"10.1145/3355089.3356553","title":"Multi-theme generative adversarial terrain amplification","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Terrain; Computer science; Theme (computing); Artificial intelligence; Embedding; Leverage (statistics); Computer vision; Terrain rendering; Visualization; World Wide Web; Geography; Cartography","score_opus":0.0328773909655447,"score_gpt":0.29820878561210634,"score_spread":0.26533139464656164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989002472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020704184,0.00017445188,0.9726385,0.00028981178,0.000076300304,0.000053527947,0.0000788685,0.00093911734,0.0050453125],"genre_scores_gemma":[0.7941244,0.000294754,0.18710479,0.00045514436,0.000091349204,0.00018231556,0.000389445,0.00049981417,0.016857967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959844,0.00010205712,0.000012069438,0.000089762485,0.00014015441,0.00005756733],"domain_scores_gemma":[0.9990689,0.00056064915,0.00006825322,0.00016367943,0.000078338795,0.000060124497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008137934,0.0010035784,0.0007146186,0.00039642892,0.0003308251,0.00070708554,0.0014316842,0.0009864137,0.0050235232],"category_scores_gemma":[0.0024574015,0.000570577,0.0009097565,0.00031962595,0.0012214262,0.001162385,0.0027034034,0.0019502521,0.00088924204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063226704,0.000029351266,0.00037030212,0.000041470506,0.000026022635,0.00011948183,0.00008196038,0.94825166,0.0064711403,0.0128247775,0.0020259803,0.029694634],"study_design_scores_gemma":[0.0000049463006,0.000013525433,0.000046601483,0.0000046656023,0.0000037341017,0.000030846055,0.000006415748,0.9934922,0.0010298447,0.004557256,0.0008047765,0.0000051411666],"about_ca_topic_score_codex":0.001317427,"about_ca_topic_score_gemma":0.0020699971,"teacher_disagreement_score":0.0050235232,"about_ca_system_score_codex":0.0006496586,"about_ca_system_score_gemma":0.00044752742,"threshold_uncertainty_score":0.016805291},"labels":[],"label_agreement":null},{"id":"W2989312911","doi":"10.1145/3355089.3356532","title":"A multi-scale model for coupling strands with shear-dependent liquid","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mechanics; Flow (mathematics); Shear (geology); Compressibility; Classical mechanics; Statistical physics; Materials science; Physics; Composite material","score_opus":0.017741416705013988,"score_gpt":0.2456152309934613,"score_spread":0.22787381428844733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989312911","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08819966,0.00027186572,0.90089864,0.0004279704,0.000108453336,0.00009088358,0.00019510284,0.0004823328,0.009325073],"genre_scores_gemma":[0.77442974,0.00047821985,0.20829171,0.00022179623,0.00008272411,0.00057427667,0.00022944869,0.00033317713,0.015358975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998392,0.000035946967,0.0000081355465,0.000039995713,0.000049074763,0.000027640435],"domain_scores_gemma":[0.99973434,0.000077802215,0.000044794273,0.000042282667,0.000038526534,0.00006224552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026440015,0.0005989715,0.00069396244,0.00053127593,0.0008880689,0.0012247786,0.0023747087,0.002161383,0.0042302054],"category_scores_gemma":[0.000823221,0.00063363096,0.00097494863,0.0004740574,0.0013615187,0.0017407816,0.0015335884,0.001180725,0.0005966429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017838982,0.00002711314,0.00026826528,0.000017063732,0.0000134187785,0.000093683215,0.00005456963,0.9692476,0.0040499396,0.024090169,0.00023977483,0.0018806291],"study_design_scores_gemma":[0.000008098339,0.000010406599,0.00003777216,0.0000025046415,0.000003242827,0.000009625568,0.000006941174,0.9967578,0.00023221104,0.0022505946,0.0006757849,0.000005103522],"about_ca_topic_score_codex":0.00996809,"about_ca_topic_score_gemma":0.0063341022,"teacher_disagreement_score":0.00996809,"about_ca_system_score_codex":0.0011695159,"about_ca_system_score_gemma":0.0014517308,"threshold_uncertainty_score":0.019820154},"labels":[],"label_agreement":null},{"id":"W2989341556","doi":"10.1145/3355089.3356527","title":"StructureNet","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":235,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Interpolation (computer graphics); Artificial intelligence; Hierarchy; Point cloud; Theoretical computer science; Shape analysis (program analysis); Image (mathematics)","score_opus":0.008597729660401326,"score_gpt":0.20100075276185783,"score_spread":0.19240302310145652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989341556","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021989966,0.004091353,0.38975203,0.003427486,0.0023860373,0.0010580309,0.112841874,0.18081544,0.28363782],"genre_scores_gemma":[0.16295713,0.0042020655,0.32730588,0.0035097569,0.00032236805,0.0018114314,0.34327808,0.012211158,0.14440219],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996119,0.000036117737,0.000019704179,0.00015890427,0.00011498188,0.000058490117],"domain_scores_gemma":[0.99969566,0.00006484523,0.000020524363,0.0000985161,0.0000864099,0.000034162367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003432326,0.00209313,0.00085101,0.0012393432,0.0008202305,0.0020242003,0.002967856,0.002050856,0.09571467],"category_scores_gemma":[0.0018191006,0.0008460589,0.001308306,0.0012409136,0.0005214628,0.0034003286,0.0019396261,0.0020125676,0.04675876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031728396,0.00020278798,0.0012191456,0.0011761197,0.00012008462,0.0003641872,0.00015157956,0.038888574,0.0059902193,0.075588904,0.55089605,0.32508513],"study_design_scores_gemma":[0.00015358307,0.00016543818,0.0006536291,0.00017218033,0.00007126654,0.00040917282,0.00010587882,0.24897377,0.008498496,0.10192858,0.638811,0.000057152047],"about_ca_topic_score_codex":0.008214649,"about_ca_topic_score_gemma":0.019159405,"teacher_disagreement_score":0.09571467,"about_ca_system_score_codex":0.0014524575,"about_ca_system_score_gemma":0.001555784,"threshold_uncertainty_score":0.32019746},"labels":[],"label_agreement":null},{"id":"W2994774977","doi":"10.1145/3355089.3356495","title":"Cubic stylization","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Autodesk; Adobe Systems","keywords":"Cube (algebra); Stylized fact; Surface (topology); Key (lock); Energy (signal processing); Computer graphics; Energy minimization; Style (visual arts)","score_opus":0.009912234910925213,"score_gpt":0.2048675850595811,"score_spread":0.1949553501486559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994774977","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011974234,0.00027692516,0.94874847,0.00024553193,0.000214832,0.00014141473,0.0003806026,0.0041953297,0.03382273],"genre_scores_gemma":[0.29149055,0.00066920026,0.6588044,0.00042595944,0.00014722561,0.0001818401,0.0011312157,0.0035706705,0.04357888],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929357,0.000044962453,0.000026492278,0.00011630563,0.00044970925,0.000069052876],"domain_scores_gemma":[0.9993536,0.00011579332,0.00004565183,0.00027483702,0.00016160579,0.000048478083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034248078,0.0008921824,0.0006798863,0.00076637894,0.0008434777,0.0018393367,0.0010400331,0.0007875061,0.021196097],"category_scores_gemma":[0.0017312239,0.0005537357,0.001243725,0.0006110118,0.0010543539,0.0010238414,0.0026433885,0.0016913925,0.005990929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021309628,0.00006379076,0.001276313,0.0004164443,0.00006780946,0.00054580695,0.0006893484,0.1759784,0.09842788,0.14490996,0.04230419,0.535107],"study_design_scores_gemma":[0.00003935728,0.00009259062,0.00053762074,0.00005798164,0.0000317828,0.0011279427,0.00010682198,0.785895,0.041374117,0.03864995,0.13198714,0.00009970595],"about_ca_topic_score_codex":0.002881999,"about_ca_topic_score_gemma":0.005299064,"teacher_disagreement_score":0.021196097,"about_ca_system_score_codex":0.00070812606,"about_ca_system_score_gemma":0.001049765,"threshold_uncertainty_score":0.07090801},"labels":[],"label_agreement":null},{"id":"W2997608763","doi":"10.1145/2766953","title":"Doppler time-of-flight imaging","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer vision; Artificial intelligence; Computer science; Deblurring; RGB color model; Optical flow; Pixel; Projector; Match moving; Tracking (education); Computer graphics (images); Motion (physics); Image processing; Image (mathematics); Image restoration","score_opus":0.022044977043763014,"score_gpt":0.26407546925170244,"score_spread":0.24203049220793943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997608763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019598503,0.0028858695,0.9690577,0.00034563686,0.00021894184,0.00005941903,0.00015954765,0.00069627166,0.0069781058],"genre_scores_gemma":[0.30351272,0.0042604553,0.68621886,0.00042633186,0.00024974786,0.00011274531,0.00028899565,0.00012016609,0.0048100487],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976,0.000037463473,0.000009562195,0.000053780965,0.00011098398,0.000028261335],"domain_scores_gemma":[0.9995741,0.00013376147,0.000056687342,0.000058943882,0.0001484555,0.000027943723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029264454,0.0005341119,0.0003721054,0.00071955397,0.00026360172,0.00064975116,0.0005973695,0.0008436607,0.0027843865],"category_scores_gemma":[0.0015030239,0.00023390354,0.00023053048,0.00067959644,0.00034627423,0.0013351135,0.00058263866,0.0006984061,0.0006553552],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031611242,0.00008636764,0.0024333633,0.00046355108,0.000035910358,0.0003810559,0.00030294457,0.010947708,0.45435676,0.03295905,0.006746305,0.49097085],"study_design_scores_gemma":[0.00006722896,0.0004854701,0.005468226,0.00017284453,0.000084967636,0.006586966,0.0002164702,0.4057421,0.46902072,0.016263118,0.095700875,0.00019105797],"about_ca_topic_score_codex":0.0008897052,"about_ca_topic_score_gemma":0.0010181051,"teacher_disagreement_score":0.0027843865,"about_ca_system_score_codex":0.00040194232,"about_ca_system_score_gemma":0.00036480615,"threshold_uncertainty_score":0.0093147755},"labels":[],"label_agreement":null},{"id":"W2998100778","doi":"10.1145/882262.882293","title":"Multi-level partition of unity implicits","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":524,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Aizu; University of British Columbia","keywords":"Subdivision surface; Partition of unity; Piecewise; Subdivision; Partition (number theory); Octree; Mathematics; Surface (topology); Representation (politics); Algorithm; Developable surface; Quadratic equation; Computer science; Geometry; Polygon mesh; Mathematical analysis","score_opus":0.0632403621385425,"score_gpt":0.25896611042231216,"score_spread":0.19572574828376965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998100778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042961785,0.00016063699,0.9914084,0.000072545554,0.000043088203,0.000016020153,0.00006254242,0.00064604514,0.0032945115],"genre_scores_gemma":[0.2228422,0.00050353556,0.76486737,0.00012892674,0.000059292463,0.00018959191,0.0005089527,0.0009529054,0.009947221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921775,0.00013175265,0.000031531472,0.00006677332,0.000474636,0.00007743234],"domain_scores_gemma":[0.999355,0.00018258773,0.000045831006,0.00021655756,0.000164017,0.00003588504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005939388,0.00068862544,0.0011097562,0.000856857,0.00057049893,0.0017857858,0.0022853338,0.0011608105,0.0064529064],"category_scores_gemma":[0.003421291,0.00046890473,0.0011304251,0.0010190104,0.0008218262,0.0024668057,0.0028547922,0.001666806,0.0023235902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012333166,0.000051117626,0.00051363447,0.00024039288,0.00004919076,0.00014918257,0.0004907779,0.43243605,0.012769317,0.32468358,0.007198545,0.2212949],"study_design_scores_gemma":[0.000010094953,0.000015579611,0.00003995115,0.000015728692,0.0000060822763,0.00005175282,0.000019953535,0.95435077,0.0024412824,0.027527537,0.015507475,0.000013691871],"about_ca_topic_score_codex":0.002145055,"about_ca_topic_score_gemma":0.0029303744,"teacher_disagreement_score":0.0064529064,"about_ca_system_score_codex":0.00070071884,"about_ca_system_score_gemma":0.0008281814,"threshold_uncertainty_score":0.021587133},"labels":[],"label_agreement":null},{"id":"W2998114340","doi":"10.1145/2601097.2601167","title":"Detailed water with coarse grids","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Polygon mesh; Computer science; Discontinuous Galerkin method; Regular grid; Adaptive mesh refinement; Computational science; Cartesian coordinate system; Flow (mathematics); Flexibility (engineering); Grid; Surface (topology); Algorithm; Mesh generation; Mathematics; Geometry; Computer graphics (images); Finite element method; Mathematical analysis","score_opus":0.015355176874729138,"score_gpt":0.249270679195115,"score_spread":0.23391550232038585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998114340","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022818184,0.00024181427,0.9615408,0.00039727567,0.00016390506,0.00005836846,0.00025106486,0.0011744624,0.013354096],"genre_scores_gemma":[0.49321115,0.00067014835,0.4847808,0.00047264167,0.00011887503,0.0002517811,0.0007119661,0.0006687687,0.01911386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997228,0.00003059479,0.000011614334,0.00006020259,0.00014082855,0.000033932818],"domain_scores_gemma":[0.99963677,0.00011424027,0.000025242827,0.00012518596,0.000059533664,0.000038886537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024550216,0.00050520775,0.00063135807,0.00051774154,0.0006073823,0.0012534509,0.0010188358,0.0009837319,0.0053685973],"category_scores_gemma":[0.001525238,0.00059120916,0.0006660793,0.00044860243,0.0010962323,0.002025446,0.0027063142,0.0012298533,0.0011594263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090528265,0.00004044568,0.0009824993,0.00011042667,0.000030692343,0.00017885135,0.00022590287,0.80969065,0.016472507,0.10861325,0.004792422,0.05877188],"study_design_scores_gemma":[0.000021110987,0.00002064785,0.00016232832,0.000013259539,0.0000068401587,0.000035588204,0.00002266019,0.95513505,0.002841176,0.032349035,0.009373141,0.000019143912],"about_ca_topic_score_codex":0.0071529374,"about_ca_topic_score_gemma":0.005189853,"teacher_disagreement_score":0.0071529374,"about_ca_system_score_codex":0.0006566813,"about_ca_system_score_gemma":0.00097456184,"threshold_uncertainty_score":0.017959714},"labels":[],"label_agreement":null},{"id":"W2999925626","doi":"10.1145/2070781.2024217","title":"Structure-preserving retargeting of irregular 3D architecture","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Retargeting; Computer science; Replication (statistics); Adjacency list; Semantics (computer science); Set (abstract data type); Interactivity; Artificial intelligence; Algorithm; Theoretical computer science; Mathematics; Programming language","score_opus":0.035477754329921715,"score_gpt":0.20903454286525203,"score_spread":0.1735567885353303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999925626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051977456,0.00006871376,0.94145143,0.000047345373,0.000023966937,0.00006927991,0.00008604871,0.00406002,0.0022158083],"genre_scores_gemma":[0.4104202,0.00010981318,0.58387077,0.00006259163,0.000010055448,0.00010962954,0.00038703333,0.0016423579,0.00338752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995658,0.00006673735,0.000020546313,0.00011026609,0.00018067681,0.000056034787],"domain_scores_gemma":[0.99909484,0.00032909575,0.00007382679,0.00036295768,0.00010123921,0.000038034137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095787,0.0011496762,0.00065431016,0.0007095379,0.00042339208,0.0006986321,0.0013247341,0.0007006103,0.0032909438],"category_scores_gemma":[0.0020735343,0.0006970247,0.0012330819,0.0004282458,0.000783662,0.00083823217,0.0020254818,0.00080892374,0.00074945396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001611072,0.00008168892,0.001433131,0.00020478468,0.00008952321,0.0006441523,0.0010090877,0.6762428,0.11425405,0.012712021,0.003524863,0.18964282],"study_design_scores_gemma":[0.000015951482,0.00009140544,0.0002735559,0.0000119192955,0.000021738086,0.00022176567,0.00008679708,0.94890773,0.036443513,0.007798433,0.006101195,0.00002598041],"about_ca_topic_score_codex":0.0027499252,"about_ca_topic_score_gemma":0.0041833343,"teacher_disagreement_score":0.0032909438,"about_ca_system_score_codex":0.0005368346,"about_ca_system_score_gemma":0.00040146784,"threshold_uncertainty_score":0.0110093355},"labels":[],"label_agreement":null},{"id":"W3000812298","doi":"10.1145/3360905","title":"Model Predictive Control with a Visuomotor System for Physics-based Character Animation","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea","keywords":"Computer science; Animation; Markov decision process; Character animation; Model predictive control; A priori and a posteriori; Gaze; Motion capture; Physics engine; Observer (physics); Artificial intelligence; Partially observable Markov decision process; Ball (mathematics); Computer vision; Optimal control; Motion (physics); Control (management); Computer animation; Markov process; Markov chain; Markov model; Machine learning; Computer graphics (images); Mathematics; Mathematical optimization","score_opus":0.01793170715312714,"score_gpt":0.23036960952832702,"score_spread":0.21243790237519988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000812298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0139457015,0.00020374285,0.98055786,0.00020108554,0.00005773523,0.000037016853,0.0000313798,0.00091219554,0.0040533138],"genre_scores_gemma":[0.9081099,0.00020482845,0.08741896,0.000097578726,0.0000443306,0.00014415302,0.00006065178,0.000080457816,0.0038392008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998542,0.000031612242,0.0000064432625,0.00003787078,0.00005490925,0.000014905333],"domain_scores_gemma":[0.99980325,0.00008981933,0.000028014229,0.000026006683,0.000036755137,0.000016193952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003056099,0.00041113436,0.00040260763,0.00023765974,0.00036849143,0.0005624587,0.00082978373,0.0005737897,0.0019084021],"category_scores_gemma":[0.0009113312,0.0003024,0.0003813179,0.00019011453,0.0005708386,0.0005147198,0.0007443332,0.00080535887,0.00026247997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048486312,0.00003602596,0.00022281424,0.00004827896,0.000023990771,0.00007240635,0.00007780063,0.9469733,0.009271448,0.010207403,0.0007054986,0.03231257],"study_design_scores_gemma":[0.000004337381,0.000014661437,0.00004338004,0.0000023678656,0.0000025521165,0.000005937556,0.0000023115497,0.9973259,0.00054104853,0.0013858796,0.0006689119,0.0000027229441],"about_ca_topic_score_codex":0.0062085697,"about_ca_topic_score_gemma":0.0053321775,"teacher_disagreement_score":0.0062085697,"about_ca_system_score_codex":0.00051488425,"about_ca_system_score_gemma":0.00064408634,"threshold_uncertainty_score":0.012344837},"labels":[],"label_agreement":null},{"id":"W3003291777","doi":"10.1145/3368313","title":"Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Natural Science Foundation of China","keywords":"Radiance; Path tracing; Computer science; Rendering (computer graphics); Adaptive sampling; Sampling (signal processing); Reinforcement learning; Convolutional neural network; Global illumination; Algorithm; Ray tracing (physics); Importance sampling; Monte Carlo method; Artificial intelligence; Deep learning; Computer vision; Mathematics; Statistics; Optics; Filter (signal processing); Physics","score_opus":0.059827980031701276,"score_gpt":0.29628701176474526,"score_spread":0.23645903173304397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003291777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026203334,0.00007988273,0.971394,0.0000870257,0.000018483746,0.00002690388,0.000024444964,0.0010349988,0.0011308424],"genre_scores_gemma":[0.65684426,0.00008314429,0.34061608,0.00014194695,0.000022133749,0.0000754529,0.00013065846,0.00020668982,0.0018796489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969304,0.00007349085,0.000011493074,0.00007778305,0.000100995494,0.000043335043],"domain_scores_gemma":[0.999131,0.00040589095,0.00009162404,0.00014746284,0.00016385768,0.000060135862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008848943,0.0007492169,0.000646527,0.00034398522,0.00027568254,0.0006791808,0.001305945,0.000829147,0.0014674196],"category_scores_gemma":[0.0027879686,0.0004517951,0.00047711763,0.0003126909,0.00063305604,0.0009370156,0.00094291597,0.0012855901,0.0003242299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105031635,0.00007495515,0.0012010272,0.000032494427,0.000027754066,0.000055442775,0.000070609596,0.90080446,0.0073494934,0.0037585346,0.0008540254,0.08566614],"study_design_scores_gemma":[0.0000029199746,0.000006481769,0.000029060608,0.0000012642832,0.0000010474691,0.0000041815533,0.0000015096954,0.99871147,0.0006888049,0.0004703802,0.000081487255,0.0000015316484],"about_ca_topic_score_codex":0.0072808424,"about_ca_topic_score_gemma":0.007923037,"teacher_disagreement_score":0.0072808424,"about_ca_system_score_codex":0.0010406912,"about_ca_system_score_gemma":0.0010806456,"threshold_uncertainty_score":0.014476955},"labels":[],"label_agreement":null},{"id":"W3004216723","doi":"10.1145/3386569.3392443","title":"MGCN","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Discriminative model; Pattern recognition (psychology); Overfitting; Graph; Robustness (evolution); Kernel (algebra); Feature (linguistics)","score_opus":0.027920297922832345,"score_gpt":0.2153067703153445,"score_spread":0.18738647239251216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004216723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0152151985,0.0005247206,0.9656619,0.00037492794,0.00021685532,0.00014811818,0.001999791,0.0048692464,0.010989169],"genre_scores_gemma":[0.43467924,0.0012205798,0.5129316,0.0011043875,0.00027749434,0.0005224168,0.013568325,0.0014789829,0.034217086],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993493,0.00006504638,0.000029925885,0.00022459573,0.00022100871,0.00011013197],"domain_scores_gemma":[0.9995546,0.000055092194,0.00004518171,0.00014047865,0.00016730145,0.000037321563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041976292,0.0010763423,0.0008687741,0.0017948535,0.0004516306,0.0014411412,0.0023270738,0.0011287981,0.010349532],"category_scores_gemma":[0.0019612405,0.00037910222,0.0009029864,0.0015847891,0.0007481534,0.0020972495,0.0018844331,0.0012016498,0.004165902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023322312,0.00011227036,0.002494547,0.0002581577,0.00012538432,0.0001903724,0.00007034838,0.16139674,0.013147976,0.09226565,0.036574278,0.69313115],"study_design_scores_gemma":[0.000020649248,0.000052082443,0.000982212,0.00002737212,0.000023741359,0.00014797115,0.000029202483,0.917528,0.0064134053,0.053016048,0.02173681,0.000022460295],"about_ca_topic_score_codex":0.010328996,"about_ca_topic_score_gemma":0.0131378,"teacher_disagreement_score":0.010349532,"about_ca_system_score_codex":0.0012560162,"about_ca_system_score_gemma":0.001213581,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3012162385","doi":"10.1145/566654.566641","title":"Shader-driven compilation of rendering assets","year":2002,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Shader; Computer science; Rendering (computer graphics); Compiler; Graphics; Computer graphics (images); Graphics pipeline; Data structure; Parallel computing; Computer hardware; Programming language; 3D computer graphics","score_opus":0.06158327305978009,"score_gpt":0.28981291567432144,"score_spread":0.22822964261454134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012162385","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29801637,0.00014801252,0.6261815,0.00011401092,0.00013031773,0.00027613534,0.0002606428,0.05390941,0.020963546],"genre_scores_gemma":[0.6607972,0.0001492271,0.3186155,0.00013819992,0.000053500324,0.00017832233,0.0010282019,0.009296838,0.009743049],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957424,0.000043305816,0.000021815024,0.000090316906,0.00019689173,0.00007352986],"domain_scores_gemma":[0.99921274,0.00019969934,0.00004702495,0.00030885736,0.00019175853,0.0000398541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003064975,0.00040445122,0.0004447785,0.00038244663,0.0003226342,0.0009146542,0.00062293245,0.00022443477,0.0025212108],"category_scores_gemma":[0.001854645,0.00043094452,0.00046549074,0.00028848156,0.000565214,0.0007803923,0.0008889845,0.00072501577,0.00080864516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088003185,0.00039830373,0.012010207,0.0003857434,0.000105251565,0.0011581846,0.0013996899,0.1339913,0.18551469,0.0445587,0.021370795,0.59822714],"study_design_scores_gemma":[0.00014587573,0.00026249385,0.0064132498,0.00004508267,0.00006754196,0.00044375606,0.00013748973,0.64482754,0.28637803,0.012620131,0.048591215,0.00006760441],"about_ca_topic_score_codex":0.0011275401,"about_ca_topic_score_gemma":0.0010522532,"teacher_disagreement_score":0.0025212108,"about_ca_system_score_codex":0.0003507658,"about_ca_system_score_gemma":0.00078807655,"threshold_uncertainty_score":0.008434296},"labels":[],"label_agreement":null},{"id":"W3014256205","doi":"10.1145/3261442","title":"Session details: Sketching &amp; writing","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; Computer graphics (images); Multimedia; Engineering drawing; World Wide Web; Engineering","score_opus":0.055330348068155344,"score_gpt":0.31131171763169124,"score_spread":0.2559813695635359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014256205","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014860225,0.0017111811,0.016402945,0.019281391,0.11850276,0.0020532862,0.016139247,0.010540045,0.8138831],"genre_scores_gemma":[0.007678777,0.00067847094,0.0025541303,0.0013141594,0.0060550165,0.00046399506,0.0036534972,0.0034459622,0.97415596],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986981,0.0002420534,0.000108531036,0.0002314214,0.00057634606,0.00014347686],"domain_scores_gemma":[0.98882115,0.0022224805,0.00026536264,0.0023398786,0.0039543086,0.0023968045],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029348806,0.0012907148,0.0011942203,0.0012190068,0.0021267252,0.006531702,0.0017078536,0.0017544683,0.8920695],"category_scores_gemma":[0.025756622,0.00042548164,0.0012661134,0.0009815916,0.0006173974,0.0032490026,0.0033139356,0.0026162148,0.8102263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010137399,0.000026137666,0.0000451904,0.00014789903,0.0000039456177,0.000026536694,0.00005829641,0.000051888233,0.00043314885,0.0011159384,0.95840144,0.039588187],"study_design_scores_gemma":[0.000032278294,0.000028419661,0.00018375495,0.00007995204,0.0000045505426,0.00004459415,0.000081233644,0.00016563965,0.00054237916,0.001329404,0.99749917,0.0000087001035],"about_ca_topic_score_codex":0.0009967245,"about_ca_topic_score_gemma":0.0021038044,"teacher_disagreement_score":0.8920695,"about_ca_system_score_codex":0.0011112584,"about_ca_system_score_gemma":0.0024302665,"threshold_uncertainty_score":0.15394974},"labels":[],"label_agreement":null},{"id":"W3014407599","doi":"10.1145/3261451","title":"Session details: Photo organization &amp; manipulation","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Session (web analytics); Computer science; Computer graphics (images); Computer vision; Artificial intelligence; World Wide Web","score_opus":0.027976460529668623,"score_gpt":0.26762612366857835,"score_spread":0.23964966313890973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014407599","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015174784,0.0013833265,0.012134971,0.0027615298,0.015453035,0.0015313168,0.013518618,0.012159078,0.93954057],"genre_scores_gemma":[0.01076435,0.0010699348,0.0045144167,0.0007367222,0.0010388418,0.00057205354,0.004565854,0.0034826337,0.97325516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997141,0.00002705726,0.000012874899,0.00007128339,0.00009560493,0.000079113444],"domain_scores_gemma":[0.9993753,0.0000952397,0.0000159534,0.0001603862,0.00014587851,0.00020729919],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004887799,0.0014173796,0.0016849787,0.0009406749,0.00227116,0.003016819,0.0016443594,0.002179324,0.93399334],"category_scores_gemma":[0.0013399273,0.0005546826,0.0012635196,0.0009891532,0.00041644808,0.0018143273,0.00253226,0.0020407138,0.79495585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043329294,0.00013583047,0.00008828269,0.0002879996,0.00001035085,0.00007918729,0.000048620663,0.00008743893,0.007937036,0.0012137038,0.9159618,0.073716536],"study_design_scores_gemma":[0.00008582791,0.000099257035,0.00074384303,0.00006939628,0.000010777172,0.00010631577,0.00006224457,0.00035898515,0.0025728983,0.00087654614,0.99499017,0.000023699757],"about_ca_topic_score_codex":0.0014799329,"about_ca_topic_score_gemma":0.003301357,"teacher_disagreement_score":0.93399334,"about_ca_system_score_codex":0.00040782493,"about_ca_system_score_gemma":0.0006374327,"threshold_uncertainty_score":0.094150424},"labels":[],"label_agreement":null},{"id":"W3014964056","doi":"10.1145/3263341","title":"Session details: Sound &amp; light","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Session (web analytics); Sound (geography); Computer science; Acoustics; World Wide Web; Physics","score_opus":0.026224998598220486,"score_gpt":0.25965779023663926,"score_spread":0.2334327916384188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014964056","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014510566,0.0014921619,0.004479225,0.0038449592,0.017700966,0.00074402214,0.010073674,0.009256905,0.9509572],"genre_scores_gemma":[0.008271929,0.0010563853,0.0011354617,0.001023644,0.0021316358,0.00022294615,0.0033342252,0.002049074,0.9807748],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996376,0.000041882802,0.000017425782,0.000096891876,0.00011623909,0.00009000173],"domain_scores_gemma":[0.99837273,0.00028670914,0.000027447051,0.00020670293,0.0003641382,0.000742167],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008713645,0.0015441865,0.0019369832,0.0007800396,0.0023251935,0.004620259,0.0015596086,0.004066305,0.9431204],"category_scores_gemma":[0.0017284186,0.00041157787,0.0011822337,0.0008906603,0.00046133663,0.0020873693,0.002684955,0.0025484168,0.8741439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054477924,0.00017406595,0.00012943937,0.0003213569,0.000013477167,0.00008025821,0.000045172805,0.000052702075,0.003380101,0.00079715246,0.9345201,0.059941422],"study_design_scores_gemma":[0.00011884857,0.00018466865,0.0006302733,0.00008894168,0.000016255264,0.00011115738,0.00007038591,0.00022042393,0.0009442689,0.00085320603,0.99674404,0.000017558941],"about_ca_topic_score_codex":0.0009804192,"about_ca_topic_score_gemma":0.002180575,"teacher_disagreement_score":0.9431204,"about_ca_system_score_codex":0.00046848436,"about_ca_system_score_gemma":0.00078669825,"threshold_uncertainty_score":0.081131816},"labels":[],"label_agreement":null},{"id":"W3015167545","doi":"10.1145/3261427","title":"Session details: Display software","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Software; Computer graphics (images); Multimedia; World Wide Web; Programming language","score_opus":0.01880864222214214,"score_gpt":0.26427783226270113,"score_spread":0.245469190040559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015167545","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002745634,0.001965241,0.06387937,0.003205697,0.0064024827,0.0024012253,0.058448903,0.17916097,0.6817905],"genre_scores_gemma":[0.016474744,0.0010319718,0.014827417,0.0012420138,0.0009115816,0.0013892971,0.022992184,0.025257744,0.9158731],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994929,0.00006889456,0.000033617347,0.00013216677,0.0001887116,0.00008367975],"domain_scores_gemma":[0.9977591,0.00041935232,0.00004005435,0.00075259403,0.00055742066,0.00047147673],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012100593,0.001528807,0.0020232564,0.0012045193,0.0012228586,0.0045137354,0.002531853,0.0025134294,0.91659135],"category_scores_gemma":[0.0040136506,0.0011174744,0.0010631962,0.0014032292,0.00032019662,0.0025190446,0.0029084715,0.0023813297,0.8386068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037433684,0.00007928362,0.00017864813,0.0002072657,0.000017082566,0.00004239491,0.000047569603,0.00008800957,0.0043404354,0.0012341766,0.93806595,0.055324893],"study_design_scores_gemma":[0.00020553709,0.000073290415,0.0009952142,0.00008613539,0.000027003494,0.00011319444,0.00003870928,0.0013408506,0.0028700572,0.0014047519,0.9928052,0.000040053008],"about_ca_topic_score_codex":0.0011857637,"about_ca_topic_score_gemma":0.001528232,"teacher_disagreement_score":0.083408654,"about_ca_system_score_codex":0.0004898333,"about_ca_system_score_gemma":0.00057532795,"threshold_uncertainty_score":0.1189723},"labels":[],"label_agreement":null},{"id":"W3015634290","doi":"10.1145/3386569.3392401","title":"PolyFit","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Raster graphics; Vectorization (mathematics); Computer science; Polygon (computer graphics); Piecewise; Set (abstract data type); Artificial intelligence; Segmentation; Computer vision; Algorithm; Mathematics","score_opus":0.04562600105871609,"score_gpt":0.27216011402730994,"score_spread":0.22653411296859385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015634290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064129443,0.0018607621,0.5813616,0.00085280254,0.0013699309,0.000669441,0.021585822,0.26488236,0.12100431],"genre_scores_gemma":[0.08888103,0.0024836874,0.5669121,0.0016129711,0.00032542262,0.0017291184,0.090738006,0.088555105,0.15876256],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893945,0.00009184527,0.00006703006,0.00025532415,0.0005340416,0.000112208196],"domain_scores_gemma":[0.99904794,0.00024114425,0.00005373364,0.00027930518,0.00028003787,0.00009792667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009460151,0.0020741178,0.001379052,0.0015426427,0.000971409,0.00355649,0.004594579,0.0022002722,0.2674158],"category_scores_gemma":[0.0040842025,0.0012983258,0.0024936006,0.0015190734,0.0007406662,0.0030977202,0.0036961967,0.002805255,0.120499164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067805004,0.0002409093,0.0015795897,0.0015862092,0.00019347623,0.00033143154,0.0002494609,0.018170092,0.0107617825,0.027034737,0.5275302,0.4116441],"study_design_scores_gemma":[0.00033654805,0.0002337824,0.0016539422,0.00024870227,0.00008726475,0.0007889193,0.00018284631,0.18916759,0.018295247,0.032188304,0.7566122,0.000204718],"about_ca_topic_score_codex":0.0029581392,"about_ca_topic_score_gemma":0.0069260104,"teacher_disagreement_score":0.2674158,"about_ca_system_score_codex":0.0007574178,"about_ca_system_score_gemma":0.0015288577,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3021945924","doi":"10.1145/3386569.3392391","title":"Graph2Plan","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":242,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"National Natural Science Foundation of China","keywords":"Floorplan; Raster graphics; Convolutional neural network; Set (abstract data type); Graph; Integrated circuit layout; Page layout; Artificial neural network","score_opus":0.041973652384572194,"score_gpt":0.28212985052090006,"score_spread":0.24015619813632788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021945924","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066801435,0.0016007967,0.69006956,0.00066092465,0.00035885975,0.0004960612,0.058070257,0.216879,0.025184488],"genre_scores_gemma":[0.06526422,0.0014123518,0.649884,0.0010089139,0.00006946432,0.00086320436,0.24123432,0.020087736,0.020175777],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947697,0.00006291363,0.000026253003,0.00022238425,0.00015541572,0.00005615728],"domain_scores_gemma":[0.9994887,0.00013982825,0.00003043597,0.00022915356,0.00007811286,0.000033745368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004355969,0.0028556786,0.00066778273,0.001382226,0.00050955586,0.0017734836,0.0034461073,0.0013497877,0.043388493],"category_scores_gemma":[0.0021823435,0.0009809387,0.0022938498,0.0014620863,0.0005557808,0.0025707236,0.002031041,0.0023691447,0.01789918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034912076,0.00022413964,0.0020184414,0.0018738224,0.00020534989,0.0004032367,0.00019368702,0.12127066,0.00848513,0.037465412,0.4006991,0.4268119],"study_design_scores_gemma":[0.00015343133,0.00015216955,0.00095594744,0.00016765314,0.000055346594,0.0005134116,0.00007600793,0.47462696,0.014209611,0.068687856,0.44032687,0.0000747863],"about_ca_topic_score_codex":0.010009458,"about_ca_topic_score_gemma":0.033176504,"teacher_disagreement_score":0.043388493,"about_ca_system_score_codex":0.001172192,"about_ca_system_score_gemma":0.0013666996,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3023681781","doi":"10.1145/3386569.3392410","title":"XNect","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":259,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"FP7 Ideas: European Research Council","keywords":"RGB color model; Convolutional neural network; Pose; Joint (building); Range (aeronautics); Key (lock); Artificial neural network; Network architecture; Motion (physics)","score_opus":0.04526127287632818,"score_gpt":0.24985165181945915,"score_spread":0.20459037894313098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023681781","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004228099,0.0027688302,0.17205824,0.002048285,0.0048764837,0.00077613816,0.09586048,0.2688353,0.44854823],"genre_scores_gemma":[0.02862708,0.0024175888,0.11215901,0.003698699,0.0007483312,0.0011694805,0.21289442,0.044460233,0.5938252],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916637,0.00008422011,0.000058401023,0.00026157877,0.00031114955,0.00011837791],"domain_scores_gemma":[0.9993082,0.00010164271,0.000040771025,0.00023584615,0.00020714656,0.00010642388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073777017,0.0022517627,0.0009858777,0.0017700293,0.00117752,0.0036117947,0.0028324784,0.0019910356,0.5334687],"category_scores_gemma":[0.0022164192,0.000852656,0.0009910789,0.0012477878,0.00044005175,0.002478058,0.0040582158,0.0015068896,0.4504469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026499917,0.000056145516,0.0007376998,0.0006701554,0.00004992619,0.00023660701,0.00007991997,0.00096719956,0.007141163,0.007227126,0.744689,0.23788011],"study_design_scores_gemma":[0.00004085919,0.00003440682,0.00053256465,0.000062496765,0.000015534495,0.00022974848,0.000029114295,0.003960785,0.003993443,0.0041324254,0.9869381,0.000030509744],"about_ca_topic_score_codex":0.002788661,"about_ca_topic_score_gemma":0.0060210703,"teacher_disagreement_score":0.5334687,"about_ca_system_score_codex":0.0007779785,"about_ca_system_score_gemma":0.0012166029,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3026094182","doi":"10.1145/3386569.3392459","title":"Directional sources and listeners in interactive sound propagation using reciprocal wave field coding","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Acoustics; Impulse response; Rendering (computer graphics); Salient; Transfer function; Coding (social sciences); Directivity; Physics; Artificial intelligence; Telecommunications; Mathematics; Antenna (radio)","score_opus":0.0534381672873972,"score_gpt":0.27524902404494844,"score_spread":0.22181085675755124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026094182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13111632,0.000118530486,0.8506378,0.000116081144,0.000066283494,0.000081787075,0.00015912385,0.004314478,0.013389552],"genre_scores_gemma":[0.6963702,0.00018937822,0.29313132,0.00009040776,0.000019157575,0.000101319114,0.00028544173,0.0013043454,0.0085084345],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982494,0.000037687656,0.0000067861624,0.000017881886,0.00008379437,0.000028991413],"domain_scores_gemma":[0.9996867,0.00017547923,0.000017241278,0.00005185573,0.00003627039,0.000032518274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033935872,0.00057052716,0.00025760185,0.0003342808,0.0002240856,0.0010685464,0.0007340029,0.00041813726,0.006131292],"category_scores_gemma":[0.0012066185,0.0002922236,0.000496057,0.00019206168,0.000701859,0.0007738232,0.0012290353,0.00069188233,0.0008594024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001401529,0.000225598,0.001675218,0.0002839125,0.00007347231,0.00073275785,0.0018249867,0.27887943,0.44883955,0.07238163,0.0040554027,0.18962656],"study_design_scores_gemma":[0.00015263216,0.00025395147,0.0007078725,0.00004330529,0.00004065615,0.00038452863,0.00026913173,0.83991313,0.12804314,0.0152186975,0.01487563,0.00009740949],"about_ca_topic_score_codex":0.0013549255,"about_ca_topic_score_gemma":0.0021074393,"teacher_disagreement_score":0.006131292,"about_ca_system_score_codex":0.0003238808,"about_ca_system_score_gemma":0.00034734383,"threshold_uncertainty_score":0.02051121},"labels":[],"label_agreement":null},{"id":"W3026390873","doi":"10.1145/3388538","title":"Delayed Rejection Metropolis Light Transport","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Japan Society for the Promotion of Science; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Markov chain; Benchmark (surveying); Ergodicity; Kernel (algebra); State space; Markov chain Monte Carlo; Sample (material); Algorithm; Sample space; Mathematical optimization; Artificial intelligence; Mathematics; Machine learning; Bayesian probability","score_opus":0.02806391939420383,"score_gpt":0.2759656322744736,"score_spread":0.2479017128802698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026390873","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017279714,0.00008448021,0.9795123,0.00017846806,0.000053724045,0.000108557644,0.0000337134,0.0011757682,0.0015732377],"genre_scores_gemma":[0.4857245,0.000120796016,0.50405586,0.0003136892,0.000057755675,0.0004913621,0.00019690534,0.000633589,0.008405633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989116,0.00034355087,0.00004868287,0.00022053617,0.00032719827,0.0001483479],"domain_scores_gemma":[0.99516255,0.002985678,0.0002752854,0.0007007296,0.0006153581,0.00026055446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023844729,0.00092477846,0.001330512,0.0006406246,0.00073109014,0.0015653938,0.0033109197,0.0019914573,0.0055601243],"category_scores_gemma":[0.010158878,0.0006606237,0.0010081227,0.00056789914,0.0015835108,0.0018213687,0.0019546072,0.0028694293,0.0016987626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006391155,0.00023515616,0.002031107,0.00020833281,0.00007861623,0.0002670633,0.00029117303,0.7679693,0.016637594,0.10654056,0.004084128,0.10101785],"study_design_scores_gemma":[0.00002490547,0.0000204331,0.000028758024,0.0000039831084,0.000004452225,0.000016377111,0.000007853059,0.98971623,0.002350153,0.0071654227,0.00065370277,0.000007789909],"about_ca_topic_score_codex":0.003736164,"about_ca_topic_score_gemma":0.0041057724,"teacher_disagreement_score":0.0055601243,"about_ca_system_score_codex":0.0016570165,"about_ca_system_score_gemma":0.0019339031,"threshold_uncertainty_score":0.018600464},"labels":[],"label_agreement":null},{"id":"W3033607526","doi":"10.1145/3386569.3392430","title":"Quad-mesh based isometric mappings and developable surfaces","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Austrian Science Fund","keywords":"Developable surface; Polygon mesh; Discretization; Conformal map; Mathematics; Isometric exercise; Computer science; Simple (philosophy); Topology (electrical circuits); Geometry; Surface (topology); Mathematical analysis; Combinatorics","score_opus":0.025826851515736004,"score_gpt":0.20914318111937302,"score_spread":0.18331632960363703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033607526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033123326,0.00006577324,0.9640744,0.00004486432,0.000020368994,0.0000173003,0.000045201927,0.00024827817,0.0023604317],"genre_scores_gemma":[0.5996564,0.00023592994,0.3960377,0.00004792933,0.00001866417,0.000057825113,0.00019333915,0.00022879308,0.0035233826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997626,0.00004327578,0.000012738341,0.00004346928,0.000113530616,0.000024281811],"domain_scores_gemma":[0.9997427,0.000076809076,0.000033001605,0.000078299716,0.000047057878,0.00002212958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002885041,0.00031016188,0.00036432166,0.0006358366,0.00024085175,0.00083967875,0.00061464915,0.0004368838,0.0021808739],"category_scores_gemma":[0.0012969867,0.00028461535,0.00047935615,0.0004497015,0.0008742731,0.0010537234,0.0012001815,0.00069616863,0.0004406745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082732215,0.000042929012,0.0017166145,0.00013631616,0.000027364009,0.00026462998,0.0003304487,0.39955094,0.049468473,0.4337888,0.0012776922,0.11331315],"study_design_scores_gemma":[0.000008425793,0.000050260463,0.00044703946,0.000011754328,0.000004943066,0.00014572086,0.00005007927,0.911034,0.008294571,0.0740494,0.0058897384,0.00001395121],"about_ca_topic_score_codex":0.00072757184,"about_ca_topic_score_gemma":0.0006413727,"teacher_disagreement_score":0.0021808739,"about_ca_system_score_codex":0.00036804785,"about_ca_system_score_gemma":0.00027494418,"threshold_uncertainty_score":0.0072957277},"labels":[],"label_agreement":null},{"id":"W3039747048","doi":"10.1145/3386569.3392380","title":"TilinGNN","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tile; Robustness (evolution); Graph; Convolutional neural network; Dual graph; Tessellation (computer graphics)","score_opus":0.04223254686823975,"score_gpt":0.2721270476595343,"score_spread":0.2298945007912946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039747048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017164376,0.00064618734,0.94227207,0.00034476208,0.0003844027,0.00012688739,0.0012845529,0.00955737,0.028219447],"genre_scores_gemma":[0.29664195,0.0006542401,0.65110344,0.0010944925,0.00014309779,0.00047759758,0.0066610915,0.0018950618,0.041328944],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997327,0.000019957899,0.000014582349,0.00012381705,0.000069616355,0.000039360817],"domain_scores_gemma":[0.9997681,0.000057157038,0.000017357677,0.00007563821,0.00006642034,0.000015310165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023341119,0.0007843194,0.00064955116,0.0004331386,0.00038857252,0.0008736028,0.001701827,0.0011153548,0.015890218],"category_scores_gemma":[0.0012741879,0.0003732816,0.0007657399,0.0004690279,0.0004435657,0.0011875412,0.00115387,0.0010126893,0.004331126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012415348,0.00007277761,0.0014083756,0.00031115705,0.000072190734,0.00017600709,0.00007239267,0.4531967,0.0114485165,0.034628212,0.029064944,0.46942458],"study_design_scores_gemma":[0.000009378202,0.00003731528,0.0001860297,0.000021542966,0.000013117558,0.00006288693,0.000013681427,0.96335876,0.0045832186,0.016876668,0.014827764,0.000009701511],"about_ca_topic_score_codex":0.004558463,"about_ca_topic_score_gemma":0.011069028,"teacher_disagreement_score":0.015890218,"about_ca_system_score_codex":0.0008411213,"about_ca_system_score_gemma":0.0007811494,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3040234939","doi":"10.1145/3386569.3392490","title":"On elastic geodesic grids and their planar to spatial deployment","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Austrian Science Fund; Vienna Science and Technology Fund","keywords":"Geodesic; Planar; Kinematics; Simple (philosophy); Bent molecular geometry; Set (abstract data type); Topology (electrical circuits); Conformal map","score_opus":0.018401496163022564,"score_gpt":0.2063429002721756,"score_spread":0.18794140410915305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040234939","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04138515,0.00017389358,0.94658095,0.00023769616,0.000053693748,0.000037515747,0.00006411217,0.00028376834,0.011183153],"genre_scores_gemma":[0.64644957,0.00076155,0.33706152,0.00015230854,0.00005297226,0.0001769476,0.00019353713,0.0002860097,0.01486565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977547,0.000053789387,0.000009261372,0.000044413395,0.00008664216,0.000030377443],"domain_scores_gemma":[0.99964285,0.0001305004,0.00005817356,0.00009380928,0.000045558732,0.000029157196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024376869,0.0005795703,0.0002813503,0.00054954045,0.0003921724,0.00084743253,0.0007119081,0.0007101541,0.002575559],"category_scores_gemma":[0.0014357639,0.00043925946,0.00042634664,0.0004095692,0.0014788603,0.0011399318,0.001514092,0.000772179,0.0006737139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005963929,0.000022648786,0.0009245094,0.000073671246,0.000009518101,0.00025413002,0.00018810961,0.6645128,0.012040937,0.2855492,0.0015060406,0.034858793],"study_design_scores_gemma":[0.000017210312,0.00006584476,0.00031822885,0.00002476461,0.0000042252254,0.0002680873,0.00008304837,0.9107826,0.004145649,0.07059107,0.013677093,0.000022109565],"about_ca_topic_score_codex":0.0017234916,"about_ca_topic_score_gemma":0.0012365786,"teacher_disagreement_score":0.002575559,"about_ca_system_score_codex":0.0006455514,"about_ca_system_score_gemma":0.00039171433,"threshold_uncertainty_score":0.00861609},"labels":[],"label_agreement":null},{"id":"W3047371217","doi":"10.1145/3447648","title":"StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":392,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Face (sociological concept); Context (archaeology); Process (computing); Space (punctuation); Sampling (signal processing); Conditional probability distribution","score_opus":0.04644017211500441,"score_gpt":0.26913343441936854,"score_spread":0.22269326230436415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047371217","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017352229,0.00020415983,0.976733,0.00013290587,0.00006266788,0.00007009179,0.00014246497,0.0019725664,0.003329887],"genre_scores_gemma":[0.6396129,0.00031322415,0.34937334,0.00043759108,0.00008937953,0.00025676884,0.00074664975,0.0010936871,0.008076466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997341,0.0000846592,0.000008511891,0.000073230876,0.00007199852,0.000027518074],"domain_scores_gemma":[0.9994241,0.00032568583,0.000037996928,0.00011804809,0.00005778642,0.000036458576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087807927,0.00083145767,0.0003777652,0.00034264344,0.00021198296,0.0006543052,0.000742069,0.0005696285,0.0035011203],"category_scores_gemma":[0.0024902024,0.00031617453,0.0005887987,0.0002196671,0.0006298528,0.0007999235,0.0011139176,0.00112368,0.0006093389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027109642,0.00011105696,0.0017018378,0.00015367265,0.00009822751,0.00024555897,0.00020855259,0.688353,0.032979023,0.03500209,0.009284814,0.23159106],"study_design_scores_gemma":[0.000014426329,0.000029876659,0.00014119716,0.000008771559,0.0000065015943,0.00005824444,0.000007050304,0.9844657,0.0052504726,0.008499567,0.0015086862,0.000009548953],"about_ca_topic_score_codex":0.0010762643,"about_ca_topic_score_gemma":0.0022320088,"teacher_disagreement_score":0.0035011203,"about_ca_system_score_codex":0.000534868,"about_ca_system_score_gemma":0.00038498838,"threshold_uncertainty_score":0.011712432},"labels":[],"label_agreement":null},{"id":"W3048397425","doi":"10.1145/3386569.3392436","title":"Continuous multiple importance sampling","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematical optimization; Estimator; Computer science; Importance sampling; Sampling (signal processing); Generalization; Heuristic; Variance (accounting); Set (abstract data type); Range (aeronautics); Monte Carlo method; Algorithm; Mathematics; Statistics","score_opus":0.18607852931020075,"score_gpt":0.3359091232907236,"score_spread":0.14983059398052284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048397425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017594829,0.00016390216,0.99705756,0.00007472786,0.000027874434,0.000025134636,0.000017830282,0.00009486816,0.00077873457],"genre_scores_gemma":[0.32815114,0.0006376271,0.6660393,0.00031109384,0.00035515125,0.00032057805,0.00024520807,0.00018216201,0.003757769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960757,0.0016985208,0.00013407522,0.00057859294,0.0012833758,0.00022970917],"domain_scores_gemma":[0.9909977,0.006153355,0.00049972517,0.0010033175,0.0010733099,0.00027269032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054036416,0.0010853527,0.001628345,0.0012556644,0.0006738288,0.0016793078,0.0023778058,0.0013199685,0.003627851],"category_scores_gemma":[0.017545547,0.00070231996,0.0009794184,0.0012380211,0.0019167528,0.002340835,0.0024421215,0.0028275105,0.00053595804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021932212,0.00010443469,0.0015875313,0.00035438355,0.000117973555,0.00019997417,0.00014196141,0.52745557,0.004259135,0.33321187,0.0032444866,0.1291034],"study_design_scores_gemma":[0.000020709384,0.00003854971,0.00015395317,0.000022118074,0.0000133489275,0.000042568056,0.000010306382,0.939853,0.0011783696,0.056759883,0.0018964015,0.000010801407],"about_ca_topic_score_codex":0.0019254677,"about_ca_topic_score_gemma":0.0017346446,"teacher_disagreement_score":0.0054036416,"about_ca_system_score_codex":0.0013353094,"about_ca_system_score_gemma":0.0012290587,"threshold_uncertainty_score":0.028577507},"labels":[],"label_agreement":null},{"id":"W3048447046","doi":"10.1145/3386569.3392451","title":"A low-parametric rhombic microstructure family for irregular lattices","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Innovative Research Group Project of the National Natural Science Foundation of China; Advanced Micro Devices; National Science Foundation","keywords":"Geometry; Parametric statistics; Square (algebra); Planar; Parameterized complexity; Mathematics; Computer science; Topology (electrical circuits); Algorithm; Combinatorics","score_opus":0.01438357053051209,"score_gpt":0.2137593779081826,"score_spread":0.19937580737767052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048447046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04046603,0.00031425082,0.94925004,0.00009583057,0.000034371093,0.000060970164,0.00017370356,0.000694916,0.0089099305],"genre_scores_gemma":[0.26664728,0.00038452714,0.7264844,0.00007933351,0.000022366228,0.00017280407,0.0004603281,0.00036596594,0.0053829974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998913,0.000019732519,0.000005826606,0.000015663003,0.00005399036,0.000013495183],"domain_scores_gemma":[0.9998752,0.000030140227,0.000014924607,0.000038014583,0.000028932876,0.000012725229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016335392,0.0002204346,0.00025283484,0.00041112865,0.000247359,0.00048284145,0.00044348682,0.00026995773,0.0018752168],"category_scores_gemma":[0.00042929972,0.00020948084,0.0004689293,0.0002681774,0.00040270571,0.00027791888,0.00046222142,0.0005611952,0.0008059757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095236246,0.00007257633,0.002567053,0.00028443357,0.00003171753,0.0003662824,0.00030969633,0.3583287,0.1205121,0.27222598,0.00824578,0.23696049],"study_design_scores_gemma":[0.000030206595,0.00012724148,0.0008173342,0.000039055245,0.000010198542,0.00067447027,0.000048797086,0.8739986,0.019337263,0.05169992,0.053188547,0.000028402785],"about_ca_topic_score_codex":0.0007645014,"about_ca_topic_score_gemma":0.0014045495,"teacher_disagreement_score":0.0018752168,"about_ca_system_score_codex":0.00030778415,"about_ca_system_score_gemma":0.0002658579,"threshold_uncertainty_score":0.0062732697},"labels":[],"label_agreement":null},{"id":"W3048456101","doi":"10.1145/3386569.3392468","title":"C-Space tunnel discovery for puzzle path planning","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Heuristics; Motion planning; Path (computing); Planner; Computer science; Motion (physics); Space (punctuation); Configuration space; Artificial intelligence; Tree (set theory); Variety (cybernetics); Any-angle path planning; Computer vision; Algorithm; Robot; Mathematics; Physics; Combinatorics","score_opus":0.03530218092673359,"score_gpt":0.26001967109568663,"score_spread":0.22471749016895304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048456101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022910453,0.00037090588,0.96883744,0.00022855402,0.00004107467,0.00015805708,0.00018777496,0.0027096372,0.0045561763],"genre_scores_gemma":[0.29652548,0.0003327097,0.69916695,0.00011385476,0.000019872603,0.00023911148,0.00072423276,0.0004207925,0.0024570513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936837,0.00014275943,0.000034478697,0.0001803014,0.00019648731,0.00007768997],"domain_scores_gemma":[0.9986552,0.00055572024,0.00013873602,0.0003664198,0.00017466438,0.00010931134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006979666,0.0012213726,0.0009819214,0.001424787,0.001040723,0.0010120687,0.0018379864,0.0016777689,0.004944482],"category_scores_gemma":[0.004625909,0.0006968845,0.0010451549,0.0012766673,0.0014105956,0.0023767506,0.0030188162,0.002081347,0.0010678143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002716403,0.00019270633,0.0020293614,0.00031762605,0.00006307162,0.0003020751,0.00054676906,0.6256296,0.008343596,0.054594953,0.008423568,0.29928505],"study_design_scores_gemma":[0.000024790668,0.00007629876,0.00022122882,0.000026937028,0.000009649652,0.000102398284,0.00009463631,0.96815723,0.0019624468,0.025210135,0.0040953048,0.000018884151],"about_ca_topic_score_codex":0.008190222,"about_ca_topic_score_gemma":0.0116573945,"teacher_disagreement_score":0.008190222,"about_ca_system_score_codex":0.00094596425,"about_ca_system_score_gemma":0.0021799754,"threshold_uncertainty_score":0.016540885},"labels":[],"label_agreement":null},{"id":"W3048458458","doi":"10.1145/3386569.3392486","title":"NASOQ","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Computer science; Solver; Scalability; Benchmark (surveying); Quadratic programming; General-purpose computing on graphics processing units; Algorithm; Set (abstract data type); Graphics; Mathematical optimization; Mathematics","score_opus":0.034560357211684004,"score_gpt":0.25990707108116623,"score_spread":0.22534671386948224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048458458","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017967438,0.002323343,0.80638105,0.0018753558,0.0015592653,0.00079238944,0.0062017166,0.028979633,0.13391979],"genre_scores_gemma":[0.17117725,0.0018760957,0.73641396,0.001891783,0.0003915496,0.0013985845,0.016633917,0.009947055,0.0602697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983442,0.00030974144,0.00010903735,0.0002490205,0.000756354,0.00023173774],"domain_scores_gemma":[0.99773693,0.0008396491,0.00013448825,0.00031879713,0.000836763,0.00013340196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016873579,0.0015768574,0.0012370629,0.00077453506,0.0011129291,0.0022327185,0.0034012466,0.0014872801,0.04690335],"category_scores_gemma":[0.006576101,0.0006278573,0.0013380426,0.00090788445,0.0010111193,0.0020812855,0.0028220424,0.0025689956,0.01282478],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005280273,0.00033566542,0.0021521735,0.0012662295,0.00012855475,0.00026389823,0.00017389358,0.319318,0.004379795,0.14774792,0.23722593,0.28647995],"study_design_scores_gemma":[0.00021858362,0.00013848976,0.00031487722,0.00010090749,0.00002490747,0.00010169813,0.0000852969,0.81478804,0.0033576747,0.056347135,0.124484554,0.000037787442],"about_ca_topic_score_codex":0.00787803,"about_ca_topic_score_gemma":0.0151843205,"teacher_disagreement_score":0.04690335,"about_ca_system_score_codex":0.0013306248,"about_ca_system_score_gemma":0.0039755064,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3048462943","doi":"10.1145/3386569.3392387","title":"Image-based acquisition and modeling of polarimetric reflectance","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Institute for Information and Communications Technology Promotion; Samsung; Ministry of Science and ICT, South Korea; Korea Creative Content Agency; National Research Foundation of Korea","keywords":"Bidirectional reflectance distribution function; Polarimetry; Computer science; Rendering (computer graphics); Remote sensing; Polarization (electrochemistry); Computer vision; Artificial intelligence; Optics; Scattering; Reflectivity; Physics; Geology","score_opus":0.027206005702671284,"score_gpt":0.24522946842461063,"score_spread":0.21802346272193934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048462943","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044657506,0.0002812738,0.9424208,0.00016399642,0.00006360071,0.00014188889,0.0037394674,0.0033282626,0.005203263],"genre_scores_gemma":[0.39908633,0.0009722546,0.5834352,0.00016959792,0.00005768958,0.0003897816,0.011786916,0.00072727585,0.0033748928],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997638,0.000018978864,0.000010626115,0.000065021246,0.00011648926,0.000025198988],"domain_scores_gemma":[0.99977666,0.000035116147,0.0000263143,0.00006376091,0.000084909094,0.000013222162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029810565,0.00053449033,0.0004551753,0.0006626444,0.0001851599,0.00091633684,0.0008660169,0.0006050556,0.0020046723],"category_scores_gemma":[0.0008093952,0.0003078449,0.0005192672,0.00095340266,0.00030884056,0.0008513413,0.0005970084,0.0010532055,0.0015915479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027102264,0.00033273592,0.006627905,0.0006177668,0.00008617465,0.00037001574,0.00038692058,0.3346982,0.35363415,0.015934685,0.01593904,0.2711014],"study_design_scores_gemma":[0.00001553658,0.000038506838,0.003306573,0.000025504725,0.000016525328,0.00021771193,0.00005142715,0.9101875,0.06887802,0.0032672384,0.01394134,0.000054278436],"about_ca_topic_score_codex":0.0036166883,"about_ca_topic_score_gemma":0.0040296637,"teacher_disagreement_score":0.0036166883,"about_ca_system_score_codex":0.00036620308,"about_ca_system_score_gemma":0.00075875135,"threshold_uncertainty_score":0.0071913004},"labels":[],"label_agreement":null},{"id":"W3048474702","doi":"10.1145/3386569.3392480","title":"Robust motion in-betweening","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":252,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ubisoft (Canada); Polytechnique Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Embedding; Animation; Generator (circuit theory); Code (set theory); Artificial intelligence; Motion capture; Pipeline (software); Motion (physics); Power (physics); Set (abstract data type); Computer graphics (images)","score_opus":0.05999599436455531,"score_gpt":0.22327134433224752,"score_spread":0.16327534996769222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048474702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035953604,0.0006877563,0.9398933,0.00032612003,0.00028767996,0.0002591463,0.0011200726,0.015375721,0.006096586],"genre_scores_gemma":[0.56239355,0.0005552546,0.4103354,0.00063353434,0.0001351382,0.00033970526,0.006239348,0.0023403747,0.017027762],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909306,0.0001503459,0.000036028414,0.00038288863,0.00023930929,0.000098389326],"domain_scores_gemma":[0.99922955,0.00024581427,0.00007261601,0.00030990643,0.00009353649,0.000048515998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097651174,0.0013953488,0.0008742865,0.000617436,0.00047146523,0.0007125251,0.0021873084,0.0010891799,0.007518377],"category_scores_gemma":[0.0032621159,0.00057622965,0.0011630999,0.0004514806,0.0006645635,0.0014508768,0.0020408574,0.0018237976,0.0022647197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006548424,0.00022396485,0.0017071682,0.0003216251,0.00014687888,0.0003995782,0.00025225256,0.44464242,0.045981936,0.012334522,0.019516867,0.4738179],"study_design_scores_gemma":[0.000043113916,0.0001443113,0.000511349,0.00003073453,0.00002705534,0.00021790211,0.00003942464,0.9546651,0.024858585,0.0073690843,0.0120651955,0.000028155246],"about_ca_topic_score_codex":0.0031222918,"about_ca_topic_score_gemma":0.005163989,"teacher_disagreement_score":0.007518377,"about_ca_system_score_codex":0.0007817303,"about_ca_system_score_gemma":0.00064524135,"threshold_uncertainty_score":0.025151491},"labels":[],"label_agreement":null},{"id":"W3048483554","doi":"10.1145/3386569.3392419","title":"Developability of heightfields via rank minimization","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Autodesk; Adobe Systems","keywords":"Developable surface; Solver; Computer science; Regular polygon; Piecewise; Convex optimization; Rank (graph theory); Surface (topology); Projection (relational algebra); Mathematical optimization; Mathematics; Algorithm; Geometry; Combinatorics; Mathematical analysis","score_opus":0.021738243989290737,"score_gpt":0.2149017570932763,"score_spread":0.19316351310398555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048483554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011320272,0.00006373768,0.9864038,0.00011139437,0.000011742102,0.0000268703,0.00008165774,0.00043552605,0.0015449465],"genre_scores_gemma":[0.34016818,0.000353751,0.6523658,0.00018173033,0.000052166513,0.00013863391,0.00077897776,0.0006500471,0.005310726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994843,0.00013209027,0.000019660036,0.00009081896,0.00023310796,0.000040106854],"domain_scores_gemma":[0.9984993,0.0008676521,0.0001510165,0.000242541,0.00017354813,0.00006596642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008653137,0.00092834025,0.00058660517,0.0005276386,0.00025710594,0.0012187475,0.0007553473,0.00088930817,0.00253604],"category_scores_gemma":[0.0035505667,0.0004209406,0.00067565613,0.00043043666,0.0012543298,0.0012750827,0.0014712989,0.0019514738,0.00082830363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110409856,0.000056780547,0.00086211006,0.00022505855,0.000029432116,0.0001494675,0.00015110883,0.8186739,0.019713072,0.048929647,0.0031995277,0.107899375],"study_design_scores_gemma":[0.000006702162,0.000033239376,0.00010617091,0.000009702201,0.000002915069,0.000053055264,0.00002284903,0.98184663,0.0045717005,0.011984923,0.0013549675,0.000007203782],"about_ca_topic_score_codex":0.0016564243,"about_ca_topic_score_gemma":0.0022617541,"teacher_disagreement_score":0.00253604,"about_ca_system_score_codex":0.0006982949,"about_ca_system_score_gemma":0.0008603345,"threshold_uncertainty_score":0.008483887},"labels":[],"label_agreement":null},{"id":"W3048496284","doi":"10.1145/3386569.3392379","title":"RigNet","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Animation; Character (mathematics); Skeleton (computer programming); Representation (politics); Character animation; Computer graphics (images); Polygon mesh; Surface (topology); Computer animation; 3d model; Skinning; Architecture; Artificial intelligence; Algorithm; Topology (electrical circuits); Computer vision; Mathematics; Geometry; Programming language","score_opus":0.025878978114889404,"score_gpt":0.21271413008714546,"score_spread":0.18683515197225606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048496284","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011189552,0.001110912,0.792234,0.00054507185,0.00082263054,0.00061862054,0.0090449,0.14473814,0.039696157],"genre_scores_gemma":[0.1430378,0.0010764048,0.7537388,0.0011650604,0.00017944888,0.0009994928,0.0449288,0.013356778,0.04151745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927,0.000108742424,0.000030909443,0.00022955461,0.00028069667,0.000080126294],"domain_scores_gemma":[0.9994659,0.0001399686,0.000026230466,0.00020183409,0.00011326834,0.00005277936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008425328,0.0024288541,0.0012062588,0.0015276159,0.0007263764,0.0025089143,0.0034276652,0.002215777,0.049037255],"category_scores_gemma":[0.0037620275,0.0009810069,0.0015348245,0.00087524584,0.0007418412,0.0021246923,0.0028913717,0.0019706066,0.020194324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065995654,0.0002478328,0.001782333,0.00094890466,0.00025872185,0.0006207084,0.00028108672,0.119870126,0.015446477,0.03007154,0.23290527,0.596907],"study_design_scores_gemma":[0.000092866445,0.0001745098,0.0004955927,0.00014419243,0.000035636185,0.00040889173,0.000090938855,0.8371819,0.00981095,0.032775518,0.118735276,0.000053727297],"about_ca_topic_score_codex":0.0060302713,"about_ca_topic_score_gemma":0.016643034,"teacher_disagreement_score":0.049037255,"about_ca_system_score_codex":0.00106278,"about_ca_system_score_gemma":0.0010902825,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3048550213","doi":"10.1145/3386569.3392422","title":"Character controllers using motion VAEs","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":250,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada); University of British Columbia","funders":"","keywords":"Computer science; Autoencoder; Artificial intelligence; Motion (physics); Animation; Motion capture; Action (physics); Set (abstract data type); Generative model; Reinforcement learning; Character animation; Generative grammar; Computer animation; Computer vision; Machine learning; Artificial neural network; Computer graphics (images)","score_opus":0.0452888302068916,"score_gpt":0.23175062762880178,"score_spread":0.18646179742191016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048550213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02115578,0.00028146856,0.97052693,0.00024947556,0.0000801822,0.00009803538,0.00009408884,0.00258779,0.0049262084],"genre_scores_gemma":[0.85134995,0.00024744673,0.13969108,0.00023939555,0.0000401875,0.00023893209,0.000245712,0.00025177986,0.0076955636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973077,0.000064600354,0.000012253482,0.00009401492,0.00006980815,0.000028446297],"domain_scores_gemma":[0.999423,0.0002830889,0.000058351437,0.00009398437,0.00010064864,0.00004088813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072071544,0.00073515205,0.0004033831,0.00034261175,0.0002919632,0.00068538066,0.0008708382,0.000801078,0.003611098],"category_scores_gemma":[0.0026596766,0.00052194315,0.0003814206,0.00016984763,0.0007371117,0.0009218429,0.0010376693,0.0011903316,0.0007159564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006558926,0.000039447317,0.00035753992,0.000056935492,0.000029576533,0.000057895286,0.000071493385,0.91782886,0.007614138,0.0098420065,0.001486745,0.062549755],"study_design_scores_gemma":[0.000006845954,0.000022128537,0.0000456422,0.000005584777,0.0000027042222,0.000010994033,0.000004224598,0.994204,0.0012873611,0.0030986862,0.0013080365,0.000003769074],"about_ca_topic_score_codex":0.0028526196,"about_ca_topic_score_gemma":0.003345601,"teacher_disagreement_score":0.003611098,"about_ca_system_score_codex":0.0005582056,"about_ca_system_score_gemma":0.00048658112,"threshold_uncertainty_score":0.012080312},"labels":[],"label_agreement":null},{"id":"W3048555161","doi":"10.1145/3386569.3392472","title":"<i>LoopyCuts</i>","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hexahedron; Polygon mesh; Robustness (evolution); Subdivision; Curvature; Algorithm; Computer science; Surface (topology); Feature (linguistics); Bounded function; CAD; Mesh generation; Mathematics; Geometry; Finite element method; Computer graphics (images); Engineering drawing; Engineering","score_opus":0.03406031262817144,"score_gpt":0.24509894074439278,"score_spread":0.21103862811622134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048555161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047004293,0.00008579339,0.9851011,0.000055467706,0.000070895316,0.00005027307,0.0002102679,0.004359565,0.005366098],"genre_scores_gemma":[0.06886269,0.00014027624,0.9162576,0.00014602928,0.000042074807,0.0001329632,0.0014509733,0.002391303,0.010576022],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997645,0.00002407477,0.000015106481,0.000041962932,0.00012533528,0.000028927909],"domain_scores_gemma":[0.9997391,0.00004011922,0.000023886108,0.00010605479,0.00006890877,0.000021958711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022864244,0.0006866058,0.0004077616,0.0006754366,0.0003642034,0.0010616042,0.0010759261,0.000560057,0.018687664],"category_scores_gemma":[0.00072250614,0.00039099655,0.00054946897,0.0005494999,0.00038148987,0.0007081776,0.0013554294,0.0006854609,0.006896558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019691486,0.00006715529,0.0009240677,0.000379371,0.000059768758,0.00013078896,0.00014388667,0.065071814,0.10761646,0.030210866,0.03506439,0.7601345],"study_design_scores_gemma":[0.00004892527,0.000119601485,0.00059752574,0.00004592147,0.00001731062,0.00025289448,0.000035532434,0.81488454,0.07367333,0.013313355,0.09697705,0.00003398032],"about_ca_topic_score_codex":0.0020600029,"about_ca_topic_score_gemma":0.0036639941,"teacher_disagreement_score":0.018687664,"about_ca_system_score_codex":0.00032980417,"about_ca_system_score_gemma":0.0005597395,"threshold_uncertainty_score":0.06251645},"labels":[],"label_agreement":null},{"id":"W3048665613","doi":"10.1145/3386569.3392440","title":"Learned motion matching","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Ubisoft (Canada)","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Animation; Matching (statistics); Artificial neural network; Scalability; Artificial intelligence; Generative model; Flexibility (engineering); Motion (physics); Bottleneck; Preprocessor; Generative grammar; Machine learning; Database; Computer graphics (images)","score_opus":0.040423713050139184,"score_gpt":0.2411348440739292,"score_spread":0.20071113102379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048665613","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077502937,0.00011652853,0.9873394,0.00010001034,0.00008181895,0.00007182367,0.000115169605,0.0011633676,0.003261602],"genre_scores_gemma":[0.37187174,0.0003531827,0.60315907,0.00047468737,0.00014344115,0.00028313362,0.0014254495,0.0007546897,0.021534547],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990822,0.00008414976,0.000048119968,0.00038566027,0.00031496582,0.00008489229],"domain_scores_gemma":[0.999329,0.0001657447,0.00006476657,0.00027100372,0.0001238099,0.00004569182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006299774,0.0007694788,0.0009146193,0.00091275724,0.00047181753,0.0013387902,0.0025754538,0.0016106725,0.013996583],"category_scores_gemma":[0.0037905227,0.0004939198,0.00095373247,0.0009370695,0.0008573221,0.002926003,0.0021355909,0.0013826591,0.0026507792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023878532,0.00016762779,0.0010150825,0.00014916164,0.00008888224,0.0001334363,0.000098916345,0.3839031,0.012022375,0.056594796,0.0056994674,0.5398884],"study_design_scores_gemma":[0.000023377606,0.00005298249,0.00020359659,0.000012244709,0.000011067555,0.00006448316,0.000017063912,0.9719515,0.0037971232,0.018547293,0.005306011,0.000013251208],"about_ca_topic_score_codex":0.0039990735,"about_ca_topic_score_gemma":0.004169615,"teacher_disagreement_score":0.013996583,"about_ca_system_score_codex":0.00093786936,"about_ca_system_score_gemma":0.0010349394,"threshold_uncertainty_score":0.046823204},"labels":[],"label_agreement":null},{"id":"W3048683209","doi":"10.1145/3386569.3392477","title":"Computational design of skintight clothing","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Embedding; Computer science; Clothing; Set (abstract data type); Body shape; Nonlinear system; Algorithm; Mathematical optimization; Artificial intelligence; Mathematics; Physics","score_opus":0.035039446230257655,"score_gpt":0.2272332062864954,"score_spread":0.19219376005623776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048683209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033214685,0.00008033344,0.96025234,0.00013470343,0.00003442324,0.000045330125,0.00007435994,0.00024784778,0.0059159193],"genre_scores_gemma":[0.5939376,0.0002052406,0.3991658,0.00012439488,0.000025901514,0.00019049278,0.00016540405,0.00029679982,0.0058884043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997689,0.000056992707,0.000009322403,0.000038779235,0.00009951551,0.000026552647],"domain_scores_gemma":[0.99972767,0.00011309387,0.000030913572,0.00005338484,0.00004300574,0.000031938765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003492704,0.00048614395,0.000555544,0.00050821877,0.00030757618,0.00087810267,0.00085272186,0.00080292096,0.0027680143],"category_scores_gemma":[0.0010740949,0.0005381926,0.00072919397,0.0002553463,0.00072614214,0.0006066712,0.0011157724,0.00053324486,0.0004541416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015013715,0.000018887822,0.000336747,0.00004650267,0.0000118596,0.00007304805,0.000037602775,0.97463906,0.0056534032,0.009549513,0.00035090244,0.0092674615],"study_design_scores_gemma":[0.0000028600305,0.00000806256,0.00005793937,0.0000035575426,0.0000015115332,0.000013862946,0.0000057659436,0.9958067,0.000502562,0.0030310573,0.0005637653,0.0000023391133],"about_ca_topic_score_codex":0.0013214144,"about_ca_topic_score_gemma":0.0018096925,"teacher_disagreement_score":0.0027680143,"about_ca_system_score_codex":0.00041596976,"about_ca_system_score_gemma":0.0006921745,"threshold_uncertainty_score":0.009259939},"labels":[],"label_agreement":null},{"id":"W3048841492","doi":"10.1145/3386569.3392465","title":"RoboCut","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Robot; Set (abstract data type); Surface (topology); Degrees of freedom (physics and chemistry); Piecewise; Motion (physics); Sequence (biology); Subtractive color; Mechanical engineering; Simulation; Artificial intelligence; Geometry; Engineering; Physics; Mathematics; Optics","score_opus":0.04108640464840861,"score_gpt":0.22973910492307373,"score_spread":0.18865270027466513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048841492","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008867703,0.0052769114,0.28289297,0.001612938,0.0033208302,0.0011134978,0.021935092,0.23060882,0.44437116],"genre_scores_gemma":[0.12838005,0.0036882425,0.2807042,0.0026081225,0.00062547973,0.0022542968,0.08020181,0.045130957,0.45640683],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924016,0.000071408096,0.00003887541,0.00019450833,0.0003261785,0.00012901957],"domain_scores_gemma":[0.99953735,0.000095391326,0.00003267636,0.00015551125,0.000084811014,0.00009431389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064199005,0.0030207268,0.0010774108,0.0014130217,0.0011939564,0.0022008356,0.003403591,0.0019292964,0.25767937],"category_scores_gemma":[0.0014668104,0.00075817027,0.0011515646,0.0005285912,0.0009501364,0.0019158096,0.0031820147,0.0016772809,0.09515661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005720501,0.0001725498,0.0004048995,0.0012513828,0.00010877952,0.000427251,0.00014731195,0.008375011,0.0068364013,0.029899918,0.6827118,0.2690926],"study_design_scores_gemma":[0.0001535359,0.000107053864,0.00043502814,0.0001587451,0.000028633298,0.00029865105,0.000049069797,0.022714406,0.004670428,0.016866868,0.95445895,0.000058689777],"about_ca_topic_score_codex":0.006793869,"about_ca_topic_score_gemma":0.014722705,"teacher_disagreement_score":0.25767937,"about_ca_system_score_codex":0.000842127,"about_ca_system_score_gemma":0.00087604095,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3048909436","doi":"10.1145/3386569.3392467","title":"Fabrication-in-the-loop co-optimization of surfaces and styli for drawing haptics","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Software portability; Computer science; Workflow; Haptic technology; Construct (python library); Feedback loop; Process (computing); Human–computer interaction; Artificial intelligence","score_opus":0.04666491370922861,"score_gpt":0.25229339459599265,"score_spread":0.20562848088676405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048909436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014077904,0.000079830636,0.98221385,0.00013662617,0.000022066542,0.00003521149,0.000015084241,0.00016799841,0.0032514276],"genre_scores_gemma":[0.6987592,0.00023853818,0.29536057,0.00014021898,0.000023566134,0.00024329848,0.000063762076,0.00017345278,0.004997317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995229,0.00011554762,0.000017165337,0.00008026934,0.00020335965,0.000060726074],"domain_scores_gemma":[0.99931586,0.00039419936,0.00009468389,0.000076977165,0.00008628321,0.00003205148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010635215,0.0006068864,0.0006381691,0.00033435796,0.0002790768,0.0010781073,0.0006558404,0.0012709033,0.0020482664],"category_scores_gemma":[0.002196259,0.00036220468,0.00072100875,0.0003309923,0.0012055162,0.0008708233,0.0011771488,0.0009355663,0.00042868327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020280131,0.000025962814,0.00026498313,0.000047998517,0.000009401647,0.000038359907,0.000036545236,0.97265315,0.0046741115,0.011928115,0.0002672023,0.010033944],"study_design_scores_gemma":[0.0000034087107,0.000019796018,0.0000476885,0.0000030853016,0.0000019263714,0.0000095265095,0.000006305466,0.9963026,0.0008055889,0.0023351007,0.00046155608,0.000003290359],"about_ca_topic_score_codex":0.0012215269,"about_ca_topic_score_gemma":0.0014094475,"teacher_disagreement_score":0.0020482664,"about_ca_system_score_codex":0.00064940297,"about_ca_system_score_gemma":0.001181874,"threshold_uncertainty_score":0.0068520904},"labels":[],"label_agreement":null},{"id":"W3048928407","doi":"10.1145/3386569.3392461","title":"Nonlinear color triads for approximation, learning and direct manipulation of color distributions","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Representation (politics); Artificial intelligence; Nonlinear system; Parametric statistics; Color image; Extension (predicate logic); Color space; Computer vision; Image (mathematics); Mathematics; Algorithm; Image processing; Statistics","score_opus":0.03559699481953777,"score_gpt":0.29676041418106097,"score_spread":0.2611634193615232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048928407","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021715118,0.00007601119,0.9958835,0.000094109564,0.000033154676,0.000013570497,0.00004686224,0.00028377166,0.0013973532],"genre_scores_gemma":[0.2787685,0.0007781355,0.7089145,0.00039217703,0.00014585734,0.00024841286,0.00032358506,0.00065059226,0.00977828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996624,0.000119352044,0.000014904023,0.00007089166,0.000091536305,0.000040895742],"domain_scores_gemma":[0.99939036,0.00018913057,0.000059735015,0.00017121233,0.00012572862,0.000063942665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006253699,0.0007308438,0.00046018764,0.00071998267,0.00040688814,0.0013611951,0.0011646976,0.0007149629,0.006096585],"category_scores_gemma":[0.002679102,0.00038656665,0.0006796074,0.001034555,0.0010034207,0.0025536704,0.0018750795,0.0022620664,0.0016029296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019769897,0.0000951447,0.00054205797,0.00016647279,0.00004870967,0.00010946734,0.00017778532,0.2641587,0.021407988,0.49945515,0.010964653,0.20267613],"study_design_scores_gemma":[0.000008598827,0.000026524622,0.00006594669,0.000012006178,0.000005470753,0.00006005013,0.000016108817,0.89532155,0.0035600774,0.09581336,0.0050960975,0.0000141596665],"about_ca_topic_score_codex":0.0020538394,"about_ca_topic_score_gemma":0.0030033763,"teacher_disagreement_score":0.006096585,"about_ca_system_score_codex":0.00087933516,"about_ca_system_score_gemma":0.00064857164,"threshold_uncertainty_score":0.02039504},"labels":[],"label_agreement":null},{"id":"W3081303566","doi":"10.1145/3410527","title":"SIERE","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs","keywords":"Computer science; Euler's formula; Divergence (linguistics); Exponential function; Nonlinear system; Stability (learning theory); Applied mathematics; Algorithm; Mathematics; Mathematical analysis; Physics","score_opus":0.16704089755534784,"score_gpt":0.3668198853052498,"score_spread":0.19977898774990194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081303566","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073380237,0.0018978302,0.49132454,0.0015589515,0.0018096083,0.00054777024,0.011331721,0.17570972,0.30848187],"genre_scores_gemma":[0.11932092,0.0024128454,0.45110574,0.0020148188,0.0005140388,0.0015405663,0.04371696,0.04200438,0.3373698],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992399,0.0001196506,0.000049213555,0.00012998458,0.00036750143,0.0000937686],"domain_scores_gemma":[0.99907935,0.0002091965,0.000047088673,0.0002626438,0.00026996885,0.0001317653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009668483,0.0009315539,0.0008790922,0.001094399,0.0008201329,0.0023488766,0.0024745646,0.0015055642,0.18627724],"category_scores_gemma":[0.0023496153,0.0006341306,0.00096905185,0.000705916,0.00053939066,0.0022867215,0.003279828,0.0020333438,0.082665645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005375612,0.00025169473,0.0016822213,0.0010596829,0.00009987107,0.0004776329,0.00034708178,0.015333699,0.022284802,0.11422363,0.49632046,0.34738174],"study_design_scores_gemma":[0.00014438784,0.000082477025,0.0005663935,0.00011062716,0.000023486746,0.00031835094,0.000053299285,0.05150904,0.010462893,0.013798618,0.922867,0.00006354729],"about_ca_topic_score_codex":0.0012227935,"about_ca_topic_score_gemma":0.0023234973,"teacher_disagreement_score":0.18627724,"about_ca_system_score_codex":0.0005969247,"about_ca_system_score_gemma":0.001194511,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3081716097","doi":"10.1145/882262.882316","title":"Accurate light source acquisition and rendering","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rendering (computer graphics); Computer science; Global illumination; Graphics pipeline; Image-based lighting; Computer graphics (images); Computer vision; Light source; Image-based modeling and rendering; Real-time rendering; Artificial intelligence; Computer graphics; Optics; 3D computer graphics","score_opus":0.018361519896557064,"score_gpt":0.2617882896165461,"score_spread":0.24342676971998903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081716097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019786954,0.0000558748,0.994511,0.000056618683,0.000026535758,0.000044819186,0.000069091046,0.0013487926,0.0019084812],"genre_scores_gemma":[0.1090208,0.00038852848,0.8846225,0.00008960766,0.000054773758,0.00016874033,0.00032876813,0.0011264492,0.0041998047],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896455,0.00011105644,0.000044938646,0.00015143395,0.0006222455,0.00010578834],"domain_scores_gemma":[0.9989784,0.00025508658,0.00006044369,0.0004491849,0.00019689469,0.00005997611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009625156,0.0010741436,0.001253729,0.00083053514,0.0005754637,0.003076234,0.0012473458,0.0011277013,0.008912765],"category_scores_gemma":[0.0033852016,0.0009937249,0.0009168259,0.0006830547,0.0007515681,0.0026137498,0.0024174282,0.0022326803,0.0043405266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027953647,0.00013542804,0.0008372278,0.00034915048,0.0000568175,0.0002483571,0.00037405183,0.16523883,0.27186888,0.08995051,0.014670948,0.45599023],"study_design_scores_gemma":[0.00006624392,0.00008699398,0.00077516114,0.000041267103,0.000023362098,0.0004467669,0.00009395184,0.7537468,0.14408633,0.052004676,0.048543707,0.0000847773],"about_ca_topic_score_codex":0.0013759984,"about_ca_topic_score_gemma":0.0015279511,"teacher_disagreement_score":0.008912765,"about_ca_system_score_codex":0.000822295,"about_ca_system_score_gemma":0.0011950259,"threshold_uncertainty_score":0.02981621},"labels":[],"label_agreement":null},{"id":"W3082452785","doi":"10.1145/3414685.3417796","title":"TAP-Net","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Computer science; Reinforcement learning; Container (type theory); Graph; Packing problems; Encoder; ENCODE; Artificial neural network; Mathematical optimization; Algorithm; Artificial intelligence; Theoretical computer science; Mathematics; Engineering","score_opus":0.026926426981137768,"score_gpt":0.216370443988352,"score_spread":0.18944401700721425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082452785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03217619,0.0022303555,0.70781535,0.0032851615,0.0017181024,0.0008444881,0.016746858,0.09684473,0.13833877],"genre_scores_gemma":[0.3440008,0.002265496,0.49256167,0.0035721168,0.00031647788,0.0016551376,0.04433854,0.0060052145,0.10528464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996588,0.000039055234,0.000023312454,0.00012347879,0.00008769079,0.00006759096],"domain_scores_gemma":[0.99955195,0.00015656621,0.000033294713,0.00009146494,0.00011296244,0.00005380624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004673345,0.0013212734,0.00065541704,0.0006589203,0.0005508308,0.0014742785,0.0033042214,0.0015740906,0.046779018],"category_scores_gemma":[0.002374346,0.0005951486,0.00090830226,0.0005875584,0.000505197,0.002557234,0.0019877884,0.0020395438,0.012374649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006810309,0.00048935885,0.0024637636,0.001053812,0.0001449865,0.00053853815,0.00011684909,0.32750103,0.006888235,0.053062852,0.22025388,0.38680574],"study_design_scores_gemma":[0.000074894655,0.0001432906,0.0002893835,0.000076704375,0.000030202602,0.00013198775,0.0000322136,0.8927606,0.00527909,0.036820076,0.06432977,0.000031889387],"about_ca_topic_score_codex":0.006355721,"about_ca_topic_score_gemma":0.012036472,"teacher_disagreement_score":0.046779018,"about_ca_system_score_codex":0.001234334,"about_ca_system_score_gemma":0.0017979017,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3083173864","doi":"10.1145/3414685.3417838","title":"Speech gesture generation from the trimodal context of text, audio, and speaker identity","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":304,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Gesture; Computer science; Context (archaeology); Speech recognition; Identity (music); Gesture recognition; Embedding; Artificial intelligence; Human–computer interaction; Natural language processing","score_opus":0.0463744464987958,"score_gpt":0.25312634054051497,"score_spread":0.20675189404171918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083173864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.073642805,0.00051063584,0.9195485,0.00020872883,0.00013489634,0.00014064855,0.0001986785,0.0018493398,0.0037658212],"genre_scores_gemma":[0.8638378,0.00034708035,0.1283135,0.0002228367,0.000061621104,0.00019495045,0.00048886787,0.00015991257,0.006373513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999694,0.00007342759,0.000012285817,0.00011533266,0.000074318,0.0000306432],"domain_scores_gemma":[0.99962544,0.00019411053,0.000029235935,0.00008383472,0.00003808774,0.00002931623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043495357,0.000810434,0.00041139784,0.00019342755,0.00021860925,0.00033022606,0.0005854629,0.0006159085,0.0023431377],"category_scores_gemma":[0.0016812234,0.00024001022,0.0004976796,0.00012758412,0.0004992837,0.00052801264,0.0010277667,0.0009310787,0.0007376215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049944496,0.00016298534,0.002068994,0.00020374313,0.0000621363,0.00058613555,0.00027393425,0.5579667,0.10212244,0.007562345,0.0032531412,0.32523793],"study_design_scores_gemma":[0.000016727658,0.00014486202,0.0010724432,0.000021967551,0.000017142218,0.00024140802,0.00003030727,0.97038424,0.022486906,0.0035663182,0.0019989202,0.000018766472],"about_ca_topic_score_codex":0.0016594676,"about_ca_topic_score_gemma":0.003444768,"teacher_disagreement_score":0.0023431377,"about_ca_system_score_codex":0.00030218935,"about_ca_system_score_gemma":0.00040092415,"threshold_uncertainty_score":0.007838607},"labels":[],"label_agreement":null},{"id":"W3083703704","doi":"10.1145/3414685.3417819","title":"Complementary dynamics","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Undo; Computer science; Animation; Rigid body dynamics; Dynamics (music); Motion (physics); Complement (music); Subspace topology; Tracking (education); Space (punctuation); Segmentation; Deformation (meteorology); Rigid body; Computer graphics (images); Computer vision; Classical mechanics; Physics; Artificial intelligence; Acoustics","score_opus":0.031042010721073456,"score_gpt":0.23193413381089242,"score_spread":0.20089212308981896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083703704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007662668,0.00016291729,0.96052766,0.00030682815,0.00023641337,0.00006177771,0.00020894768,0.0005987636,0.030234003],"genre_scores_gemma":[0.42311487,0.0007148707,0.51162577,0.0007012401,0.0003430893,0.0004182237,0.00077014137,0.0013959889,0.06091591],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992404,0.00014480425,0.000025212708,0.000183609,0.00033047414,0.00007554171],"domain_scores_gemma":[0.99924326,0.00020443878,0.000087812296,0.00024175976,0.0001239661,0.00009872945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006986167,0.0011942834,0.0008092422,0.0013545608,0.00095232506,0.002010038,0.0014216602,0.0014775095,0.024860611],"category_scores_gemma":[0.002941052,0.0007139365,0.0012890159,0.0006064172,0.001817206,0.0023744726,0.0051774527,0.0019598857,0.0040488387],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010819229,0.0000792041,0.0008885286,0.0001975132,0.000066698325,0.00026191652,0.0002974887,0.18592584,0.012951446,0.6869414,0.010882728,0.10139908],"study_design_scores_gemma":[0.000023428174,0.00006529379,0.0002740792,0.000046783458,0.00002213982,0.00027700933,0.000055337227,0.7452905,0.0028536664,0.20631532,0.04473595,0.000040491257],"about_ca_topic_score_codex":0.0012770273,"about_ca_topic_score_gemma":0.0019762584,"teacher_disagreement_score":0.024860611,"about_ca_system_score_codex":0.0007452236,"about_ca_system_score_gemma":0.0008555301,"threshold_uncertainty_score":0.083167076},"labels":[],"label_agreement":null},{"id":"W3084309233","doi":"10.1145/3414685.3417843","title":"Computational design of cold bent glass façades","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Structural Analysis of Composite Materials","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"FP7 Ideas: European Research Council; King Abdullah University of Science and Technology; Austrian Science Fund","keywords":"Bent molecular geometry; Fragility; Planar; Parametric statistics; Parametric surface; Frame (networking); Stress (linguistics); Parametric design","score_opus":0.027367444148051805,"score_gpt":0.22529565691558315,"score_spread":0.19792821276753134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084309233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36705527,0.00031429468,0.6130981,0.00039634653,0.00007600909,0.00011013086,0.00060558686,0.0013063784,0.017037855],"genre_scores_gemma":[0.9029373,0.00009758907,0.09166072,0.00006945676,0.00001768628,0.00015007741,0.00037180466,0.00020502372,0.0044903327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998221,0.000045821173,0.000005458381,0.000048428705,0.000044092485,0.000034060075],"domain_scores_gemma":[0.99956733,0.0002587468,0.000036848407,0.0000416895,0.000055021377,0.000040397408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040835052,0.00073219417,0.0007044913,0.0005054611,0.00048254378,0.0008549661,0.0009843821,0.0014872362,0.0038534666],"category_scores_gemma":[0.0014164932,0.0006522652,0.0007036756,0.00027852523,0.00085946993,0.0005413585,0.0009670012,0.0007406556,0.0003895734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013368948,0.0000063030648,0.00024942556,0.000009641513,0.0000036151644,0.000016692804,0.0000109624325,0.996863,0.0004350212,0.0009246047,0.00009057602,0.0013768579],"study_design_scores_gemma":[0.0000022902857,0.0000029110342,0.00004169226,0.0000013842011,8.9579714e-7,0.0000021079347,0.0000038009796,0.9993666,0.00010855947,0.00033231807,0.00013627358,0.0000011517004],"about_ca_topic_score_codex":0.010258406,"about_ca_topic_score_gemma":0.010149116,"teacher_disagreement_score":0.010258406,"about_ca_system_score_codex":0.0007262577,"about_ca_system_score_gemma":0.00094571314,"threshold_uncertainty_score":0.020397365},"labels":[],"label_agreement":null},{"id":"W3089354495","doi":"10.1145/3460775","title":"A Large-scale Benchmark and an Inclusion-based Algorithm for Continuous Collision Detection","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; York University","funders":"National Key Research and Development Program of China; Advanced Micro Devices; National Science Foundation","keywords":"False positive paradox; Benchmark (surveying); False positives and false negatives; Collision; Collision detection; Interval (graph theory)","score_opus":0.013859024504019426,"score_gpt":0.2677558363569493,"score_spread":0.25389681185292984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089354495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15968227,0.0017904642,0.7729634,0.0011464633,0.0004539012,0.0010071188,0.0052211084,0.03979693,0.01793836],"genre_scores_gemma":[0.4525246,0.000341231,0.53523713,0.00026573704,0.000043120934,0.00066321046,0.0074198702,0.0015713297,0.0019338314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99506444,0.001197709,0.0004124643,0.0008295394,0.0020253926,0.00047049634],"domain_scores_gemma":[0.9891165,0.0060517807,0.0004555147,0.0021945604,0.0018585424,0.00032308852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033447042,0.0015507024,0.00084001763,0.0014253054,0.001078264,0.0019029911,0.004098586,0.0019574873,0.0043042754],"category_scores_gemma":[0.017343502,0.0005384042,0.00087632734,0.0023636152,0.0014337568,0.002370369,0.002343216,0.0016552473,0.0010816467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016625726,0.0015091432,0.011909476,0.001958468,0.00018763497,0.0005837935,0.0005428839,0.5635695,0.023835942,0.05532076,0.07427981,0.26463997],"study_design_scores_gemma":[0.00023922129,0.00033515223,0.0009446734,0.000046505902,0.000030399597,0.0002031953,0.00013359415,0.95608306,0.016631613,0.012722311,0.0125899175,0.00004032773],"about_ca_topic_score_codex":0.0070720306,"about_ca_topic_score_gemma":0.005625707,"teacher_disagreement_score":0.0070720306,"about_ca_system_score_codex":0.0018349435,"about_ca_system_score_gemma":0.0031962972,"threshold_uncertainty_score":0.017688692},"labels":[],"label_agreement":null},{"id":"W3089598160","doi":"10.1145/3263961","title":"Session details: Geometry &amp; topology","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Topology (electrical circuits); Computer science; Geometry; Geometry and topology; Computer graphics (images); Mathematics; Combinatorics","score_opus":0.029774792533330745,"score_gpt":0.26970104262654243,"score_spread":0.2399262500932117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089598160","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013917073,0.0030658687,0.009588394,0.011874627,0.03046005,0.00049280655,0.02399215,0.0054941475,0.91364026],"genre_scores_gemma":[0.0108237965,0.0034108304,0.0033003835,0.00089789386,0.0045436923,0.00019569152,0.009740469,0.0017303553,0.96535695],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946636,0.00007568233,0.00002245095,0.00014600831,0.00019118299,0.00009832898],"domain_scores_gemma":[0.99763,0.00048096167,0.00004383499,0.0004510278,0.00041421648,0.000979892],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001022773,0.0016901394,0.002846662,0.0011705613,0.0026939898,0.006116406,0.001786045,0.0032915273,0.8915867],"category_scores_gemma":[0.0027770572,0.00042387628,0.0014766811,0.0023660464,0.0006288859,0.0031378816,0.0032120508,0.0031276704,0.76808476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001205934,0.000067997265,0.00008256729,0.00017090059,0.000007682547,0.00004483984,0.000032932734,0.00009934596,0.00075855386,0.0033263706,0.96247196,0.032816242],"study_design_scores_gemma":[0.000039451068,0.00006269726,0.0003289309,0.000054182194,0.000009424868,0.000087234184,0.000050141076,0.0002930305,0.00039282834,0.0029415705,0.9957301,0.000010448548],"about_ca_topic_score_codex":0.0014705858,"about_ca_topic_score_gemma":0.003686471,"teacher_disagreement_score":0.10841328,"about_ca_system_score_codex":0.0010818389,"about_ca_system_score_gemma":0.0014985393,"threshold_uncertainty_score":0.15463841},"labels":[],"label_agreement":null},{"id":"W3090135679","doi":"10.1145/3386569.3392417","title":"Adaptive merging for rigid body simulation","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Exploit; Computation; Computer science; Inertial frame of reference; Tree traversal; Metric (unit); Rigid body; Graph; Algorithm; Theoretical computer science; Physics; Classical mechanics; Engineering","score_opus":0.04619989568979726,"score_gpt":0.26360136036161635,"score_spread":0.2174014646718191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090135679","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0152982185,0.0002164784,0.9771836,0.0001066433,0.00006109706,0.00009153047,0.000089090565,0.0033227706,0.0036305608],"genre_scores_gemma":[0.32716563,0.00028259418,0.6662724,0.00018430928,0.00007742534,0.00030603283,0.00045010966,0.0016552389,0.003606185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986349,0.00030959648,0.00007179668,0.00020646794,0.00064644386,0.00013078148],"domain_scores_gemma":[0.99807274,0.0007879153,0.00018894878,0.0004742436,0.00032084002,0.00015526131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012734872,0.001070048,0.0012284882,0.0013598306,0.0012338485,0.0012151864,0.0030824812,0.0015979909,0.0062762066],"category_scores_gemma":[0.005787189,0.0008353852,0.0013824406,0.0014281812,0.0011931349,0.002384279,0.0033171393,0.0016383241,0.0013303289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027298633,0.000103213315,0.0015549257,0.00014303876,0.00011205184,0.00014889729,0.00037790206,0.83804923,0.011654338,0.02146985,0.0033565725,0.12275691],"study_design_scores_gemma":[0.000016803253,0.000024871593,0.00012317517,0.0000075379057,0.000009618646,0.000030384048,0.000020464102,0.9884105,0.003050281,0.0055406843,0.0027529385,0.000012749662],"about_ca_topic_score_codex":0.0070450674,"about_ca_topic_score_gemma":0.0066458364,"teacher_disagreement_score":0.0070450674,"about_ca_system_score_codex":0.001004334,"about_ca_system_score_gemma":0.0011107494,"threshold_uncertainty_score":0.020996034},"labels":[],"label_agreement":null},{"id":"W3093062584","doi":"10.1145/3386569.3392460","title":"A practical octree liquid simulator with adaptive surface resolution","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Octree; Computer science; Interpolation (computer graphics); Discretization; Computational science; Solver; Animation; Adaptive mesh refinement; Algorithm; Mathematical optimization; Computer graphics (images); Mathematics","score_opus":0.06035335571936648,"score_gpt":0.31117316522506433,"score_spread":0.2508198095056978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093062584","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039544743,0.0000653127,0.9497852,0.00019354226,0.000034117307,0.00008390077,0.00015480207,0.0011620912,0.008976383],"genre_scores_gemma":[0.34998342,0.00015947399,0.6422964,0.00015560426,0.000015968026,0.00021605448,0.00030544994,0.00034554923,0.0065220194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999843,0.000026777996,0.000008034572,0.000018808933,0.00008439844,0.000019034678],"domain_scores_gemma":[0.9998073,0.000063489875,0.000020261468,0.000040512525,0.000041674346,0.000026696009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002232275,0.00022221012,0.00026428397,0.0002755861,0.000288404,0.0006794727,0.0011474709,0.0007278184,0.003378298],"category_scores_gemma":[0.000882987,0.00024426123,0.00039994426,0.00035221322,0.00034498866,0.0006990766,0.0008931026,0.0006523955,0.000644152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008857408,0.00008490827,0.0011307733,0.000055941186,0.000018761533,0.00016990345,0.00013271169,0.9005384,0.019968975,0.03407352,0.002128876,0.04160861],"study_design_scores_gemma":[0.00001052485,0.000010787127,0.000031566196,0.0000016556073,0.0000012497633,0.000020083859,0.0000054946336,0.9958389,0.0010989232,0.0010290818,0.0019481769,0.0000035760131],"about_ca_topic_score_codex":0.0045736125,"about_ca_topic_score_gemma":0.004537094,"teacher_disagreement_score":0.0045736125,"about_ca_system_score_codex":0.00045788212,"about_ca_system_score_gemma":0.001114966,"threshold_uncertainty_score":0.0113015175},"labels":[],"label_agreement":null},{"id":"W3093481944","doi":"10.1145/3386569.3392432","title":"Fast and flexible multilegged locomotion using learned centroidal dynamics","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Kinematics; Workspace; Inverted pendulum; Robustness (evolution); Inverse kinematics; Terrain; Inverse dynamics; Control theory (sociology); Gait; Dynamics (music); Simulation; Robot; Artificial intelligence; Control (management); Physics","score_opus":0.04215584656882222,"score_gpt":0.24891444126561085,"score_spread":0.20675859469678864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093481944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041276045,0.00012144946,0.953588,0.000100767946,0.000036999885,0.00003948245,0.00012015113,0.0016822246,0.0030348573],"genre_scores_gemma":[0.8099043,0.000113682625,0.18736146,0.000051534378,0.0000142388635,0.00011286778,0.00026913694,0.000182331,0.0019904098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999281,0.0000102789145,0.000002797905,0.000021366417,0.0000278255,0.000009682003],"domain_scores_gemma":[0.9998641,0.00004143868,0.00002058387,0.000032792952,0.000022765369,0.00001822385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014728,0.000530507,0.0003490522,0.00023942329,0.0002653297,0.00037592836,0.0007286675,0.00048728805,0.0019819764],"category_scores_gemma":[0.00060609216,0.00028317783,0.00031448776,0.00018809257,0.00041153666,0.0004999016,0.00086210115,0.00064956915,0.00041217037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040318755,0.000026263475,0.00046300027,0.000039011848,0.00001681297,0.00009541724,0.000053162068,0.9426677,0.008310305,0.0041441256,0.00085097563,0.043292843],"study_design_scores_gemma":[0.000005108984,0.000012181378,0.0000676803,0.0000028046766,0.0000016722239,0.000010862639,0.000003881746,0.99783117,0.0007180564,0.0008619027,0.0004820072,0.0000026359637],"about_ca_topic_score_codex":0.004035133,"about_ca_topic_score_gemma":0.0051288386,"teacher_disagreement_score":0.004035133,"about_ca_system_score_codex":0.0003036049,"about_ca_system_score_gemma":0.00044798877,"threshold_uncertainty_score":0.008023322},"labels":[],"label_agreement":null},{"id":"W3098599155","doi":"10.1145/3386569.3392455","title":"Constraint bubbles and affine regions","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Vector field; Compressibility; Affine transformation; Projection (relational algebra); Multigrid method; Computer science; Boundary (topology); Smoothing; Bubble; Grid; Mathematics; Mechanics; Algorithm; Geometry; Mathematical analysis; Physics; Partial differential equation; Computer vision","score_opus":0.040789582123289043,"score_gpt":0.2763543645771426,"score_spread":0.23556478245385354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098599155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04033085,0.00030926082,0.9453636,0.0003332597,0.00010042201,0.000073291085,0.00024665642,0.00071040867,0.0125323525],"genre_scores_gemma":[0.6952275,0.00063524354,0.29278335,0.00035132724,0.00010096666,0.0002939738,0.00044557033,0.0004898624,0.009672259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99967146,0.00006616522,0.000013935953,0.000060996656,0.00014497769,0.000042390475],"domain_scores_gemma":[0.9994324,0.00021891105,0.00007908957,0.00013432039,0.00007577047,0.00005948812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030141074,0.0005195341,0.0005091359,0.00040086737,0.00032125885,0.0010611988,0.0013851,0.00103145,0.0040810904],"category_scores_gemma":[0.0018126338,0.00042351117,0.00077377784,0.00031514413,0.0011544141,0.0019393824,0.0016178765,0.0011211305,0.00062771764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069772235,0.000026425534,0.0007160085,0.000103409846,0.000019386343,0.00018450347,0.00013444513,0.61526304,0.013522818,0.3489052,0.0014269274,0.019628111],"study_design_scores_gemma":[0.000020947786,0.000035839337,0.00011719123,0.000009623487,0.000006201231,0.000059218426,0.000015265132,0.9620025,0.0031019733,0.025907017,0.008707917,0.000016338285],"about_ca_topic_score_codex":0.004294663,"about_ca_topic_score_gemma":0.0018122138,"teacher_disagreement_score":0.004294663,"about_ca_system_score_codex":0.00046351022,"about_ca_system_score_gemma":0.00088560523,"threshold_uncertainty_score":0.013652623},"labels":[],"label_agreement":null},{"id":"W3100097287","doi":"10.1145/3414685.3417801","title":"Stormscapes","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Cloud computing; Thunderstorm; Computer science; Buoyancy; Atmosphere (unit); Cloud physics; Meteorology; Set (abstract data type); Atmospheric model; Environmental science; Physics; Mechanics","score_opus":0.04985914824638988,"score_gpt":0.23204952640893114,"score_spread":0.18219037816254127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100097287","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35144502,0.0013997284,0.076697506,0.0020475227,0.0017712197,0.0009013415,0.11167817,0.019167054,0.43489248],"genre_scores_gemma":[0.82641304,0.00094031,0.042558234,0.0004966433,0.0002133357,0.00027196837,0.061956905,0.0019017105,0.06524792],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998293,0.000020525658,0.000011864,0.0000390292,0.000056713874,0.000042507243],"domain_scores_gemma":[0.99980134,0.000032719672,0.000014908014,0.000055115885,0.00003790014,0.00005806626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011860155,0.00035134313,0.00030006343,0.00049196027,0.0008695662,0.0012782315,0.00070390204,0.0005444366,0.04075694],"category_scores_gemma":[0.000473175,0.00019400143,0.000647039,0.0008941666,0.00023948858,0.0008364241,0.0009619215,0.00062352826,0.00516106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018718682,0.00026518296,0.038254134,0.0010802685,0.0002832677,0.0046245577,0.0020618099,0.15565298,0.034455292,0.07452016,0.51644826,0.17048219],"study_design_scores_gemma":[0.00041336878,0.00016766273,0.029404944,0.00013660397,0.000089621084,0.0013480239,0.0012912682,0.12820739,0.010537757,0.018662322,0.8096368,0.000104156185],"about_ca_topic_score_codex":0.013492157,"about_ca_topic_score_gemma":0.029010668,"teacher_disagreement_score":0.04075694,"about_ca_system_score_codex":0.00068460574,"about_ca_system_score_gemma":0.00063847966,"threshold_uncertainty_score":0.13634557},"labels":[],"label_agreement":null},{"id":"W3106783908","doi":"10.1145/3414685.3417791","title":"Offsite aerial path planning for efficient urban scene reconstruction","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Computer vision; Drone; Motion planning; Viewpoints; Computation; Artificial intelligence; Visual hull; Benchmark (surveying); Path (computing); 3D reconstruction; Scale (ratio); Field (mathematics); Aerial image; Iterative reconstruction; Image (mathematics); Robot; Algorithm; Mathematics; Geography","score_opus":0.025002638156685724,"score_gpt":0.2226219598927545,"score_spread":0.19761932173606878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106783908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01706068,0.00019628895,0.979878,0.000058579182,0.000012311672,0.000036020094,0.00018541212,0.0011396494,0.0014330229],"genre_scores_gemma":[0.32780212,0.00031689185,0.66808575,0.000057102876,0.000015168609,0.00008642389,0.0010524982,0.00035490814,0.0022292705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997744,0.000036259113,0.000008153365,0.00006072386,0.00008828876,0.000032231354],"domain_scores_gemma":[0.99986887,0.000048849004,0.000018905075,0.000027511524,0.000024870524,0.000010945906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020735535,0.0011780092,0.00071000156,0.00092628296,0.00032098242,0.0005649539,0.0007775968,0.00047603762,0.002710357],"category_scores_gemma":[0.00040878207,0.000638344,0.00076937873,0.00084358145,0.0003731366,0.00074679544,0.000824281,0.0007649897,0.00056839816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013160342,0.00006271539,0.0008914267,0.00012706924,0.000051501756,0.00020142093,0.00013495461,0.8256247,0.021241846,0.0053993613,0.0044700336,0.14166333],"study_design_scores_gemma":[0.000006904569,0.000015896776,0.00014915569,0.00000482448,0.0000055794308,0.000057500587,0.000027137095,0.99403304,0.002615966,0.0017145751,0.0013631543,0.0000062090685],"about_ca_topic_score_codex":0.006513523,"about_ca_topic_score_gemma":0.013172279,"teacher_disagreement_score":0.006513523,"about_ca_system_score_codex":0.00051943655,"about_ca_system_score_gemma":0.00086627604,"threshold_uncertainty_score":0.012951255},"labels":[],"label_agreement":null},{"id":"W3106863577","doi":"10.1145/3414685.3417765","title":"A harmonic balance approach for designing compliant mechanical systems with nonlinear periodic motions","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Canada Foundation for Innovation","keywords":"Harmonic balance; Computer science; Nonlinear system; Trajectory; Set (abstract data type); Sensitivity (control systems); Mechanical system; Transient (computer programming); Harmonic; Process (computing); Control theory (sociology); Matching (statistics); Frequency domain; Shell (structure); Control engineering; Mechanical engineering; Engineering; Mathematics; Electronic engineering; Acoustics; Artificial intelligence; Physics","score_opus":0.03396204872355292,"score_gpt":0.22823962874500078,"score_spread":0.19427758002144785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106863577","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022783033,0.000019722647,0.9946179,0.000044186934,0.000008688967,0.000024047538,0.000011606748,0.0000800777,0.0029155163],"genre_scores_gemma":[0.27822524,0.00022806003,0.71075,0.00015947249,0.000043211894,0.0005320045,0.000078254394,0.000294315,0.009689433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998252,0.000032952932,0.0000065613813,0.000022066766,0.0001014835,0.000011900984],"domain_scores_gemma":[0.9998294,0.000083391526,0.000023597331,0.00002354044,0.000029649073,0.0000103729435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004867133,0.0005651515,0.0003016614,0.00044309234,0.00040194037,0.0005119804,0.0006147086,0.000594259,0.0048554866],"category_scores_gemma":[0.0008037519,0.00048200542,0.00043710644,0.00024384586,0.00068052934,0.00057895936,0.0009161195,0.00063998235,0.00066578604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032421292,0.00006703174,0.00029505498,0.00015561761,0.00003116992,0.000085792635,0.00017276265,0.7556431,0.043801904,0.11803691,0.0017453053,0.07993286],"study_design_scores_gemma":[0.000013462943,0.000041690164,0.00004572891,0.000011260098,0.0000067798137,0.000028709195,0.000010693828,0.9763889,0.0037779065,0.014588759,0.005077711,0.000008454933],"about_ca_topic_score_codex":0.0006133503,"about_ca_topic_score_gemma":0.00084763527,"teacher_disagreement_score":0.0048554866,"about_ca_system_score_codex":0.0004037351,"about_ca_system_score_gemma":0.0005638263,"threshold_uncertainty_score":0.01624322},"labels":[],"label_agreement":null},{"id":"W3107080781","doi":"10.1145/3414685.3417789","title":"Chordal decomposition for spectral coarsening","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Autodesk; Connaught Fund; Adobe Systems","keywords":"Solver; Operator (biology); Computation; Computer science; Algorithm; Decomposition; Mathematical optimization; Regular polygon; Mathematics; Geometry","score_opus":0.040436290655744014,"score_gpt":0.31743104178829984,"score_spread":0.27699475113255584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107080781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023947945,0.00009606279,0.993085,0.000087952234,0.000060727827,0.000023669541,0.00004870394,0.00031620453,0.0038870075],"genre_scores_gemma":[0.14425683,0.00027374632,0.84805745,0.00023771654,0.00010730963,0.00015407191,0.0002695231,0.000746948,0.005896337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963224,0.000060312293,0.000019710895,0.000058334386,0.00018890573,0.000040528805],"domain_scores_gemma":[0.99956673,0.00016162268,0.00003168657,0.000102605845,0.00009427052,0.00004313036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045351865,0.00080234197,0.0005566215,0.00044672762,0.00046104647,0.0010013679,0.0009304189,0.000807701,0.007823977],"category_scores_gemma":[0.0019681547,0.00027928068,0.00060570525,0.00042096872,0.00087485486,0.00096899376,0.0018000168,0.0017448349,0.0018946741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001431594,0.00010585358,0.0007669624,0.00031333274,0.00006076388,0.00019873734,0.00026531713,0.47681662,0.04324914,0.2732141,0.013917293,0.19094874],"study_design_scores_gemma":[0.00001630943,0.000017224089,0.00004117911,0.000015058706,0.00000493,0.000045297536,0.000018137644,0.94680583,0.0047883657,0.037214506,0.011023476,0.000009626787],"about_ca_topic_score_codex":0.001977681,"about_ca_topic_score_gemma":0.0030714865,"teacher_disagreement_score":0.007823977,"about_ca_system_score_codex":0.00057029503,"about_ca_system_score_gemma":0.00086586346,"threshold_uncertainty_score":0.02617377},"labels":[],"label_agreement":null},{"id":"W3107258788","doi":"10.1145/3414685.3417798","title":"Monolith","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inviscid flow; Solver; Linear complementarity problem; Computer science; Slip (aerodynamics); Newtonian fluid; Minification; Viscosity; Monolith; Mathematical optimization; Mechanics; Materials science; Algorithm; Mathematics; Physics; Chemistry; Thermodynamics; Composite material","score_opus":0.02543811302523735,"score_gpt":0.22187108297851268,"score_spread":0.19643296995327533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107258788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008867761,0.00066515536,0.8802115,0.00073184614,0.0005623365,0.00018216968,0.0015788425,0.0143033555,0.09289702],"genre_scores_gemma":[0.18481481,0.0011871306,0.70456856,0.0012765906,0.00026768862,0.0005658309,0.006482487,0.0059625115,0.09487435],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995459,0.000049175742,0.00002361605,0.00009376368,0.00021728144,0.00007017112],"domain_scores_gemma":[0.9996915,0.000051007304,0.000024852267,0.000093556075,0.00009937134,0.000039686016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039764275,0.00069959444,0.0005424835,0.00048891996,0.0006404381,0.0020075936,0.0021436233,0.0011941015,0.04356196],"category_scores_gemma":[0.0010895598,0.0005173733,0.00078969024,0.00043051032,0.00044283015,0.0017025872,0.00265231,0.001257292,0.01165368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023832715,0.00022322011,0.0021586784,0.0006925055,0.00013038953,0.000440232,0.00027902887,0.14329864,0.02846826,0.31049705,0.16011278,0.35346088],"study_design_scores_gemma":[0.000087909466,0.00007777318,0.000418617,0.00007706542,0.000034684268,0.0002772714,0.00006256179,0.6407865,0.014114999,0.0405992,0.30342063,0.000042800406],"about_ca_topic_score_codex":0.0026353586,"about_ca_topic_score_gemma":0.0047074696,"teacher_disagreement_score":0.04356196,"about_ca_system_score_codex":0.0005452473,"about_ca_system_score_gemma":0.0016190984,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3107596153","doi":"10.1145/3414685.3417851","title":"Lifting freehand concept sketches into 3D","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"FP7 Ideas: European Research Council","keywords":"Computer science; Leverage (statistics); Visualization; Intersection (aeronautics); Computer graphics (images); Artificial intelligence; Computer vision; Clutter; Radar","score_opus":0.03765252077087163,"score_gpt":0.22768225079262916,"score_spread":0.19002973002175752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107596153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053051477,0.00008237208,0.9869975,0.000041301813,0.000036463534,0.00008523685,0.00018514779,0.00563848,0.0016283328],"genre_scores_gemma":[0.06250144,0.00016481514,0.93282706,0.000064127045,0.000023669154,0.00011413799,0.00089790096,0.0008840595,0.0025227037],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990306,0.000068343346,0.000045817964,0.00026182696,0.0005022935,0.00009107542],"domain_scores_gemma":[0.99824995,0.00068921514,0.00013956787,0.00054468994,0.00029125082,0.0000853311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000688241,0.0020771082,0.0012499385,0.0016268734,0.0005165585,0.0023374243,0.001875299,0.0014395651,0.015544327],"category_scores_gemma":[0.0057225307,0.0011594164,0.001944261,0.0010245387,0.0007637976,0.002090561,0.0035860075,0.0020718952,0.006382648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014092977,0.00007131308,0.0011626635,0.0005419776,0.00008121376,0.00037678235,0.0004689939,0.055996764,0.036488444,0.015895378,0.010751608,0.8780239],"study_design_scores_gemma":[0.000057823996,0.0001696928,0.0007523651,0.00014846628,0.000041818294,0.0006149609,0.00027373017,0.8703597,0.039187357,0.030569792,0.05774328,0.000081087754],"about_ca_topic_score_codex":0.0019211044,"about_ca_topic_score_gemma":0.0043567563,"teacher_disagreement_score":0.015544327,"about_ca_system_score_codex":0.0003998537,"about_ca_system_score_gemma":0.0010410105,"threshold_uncertainty_score":0.05200094},"labels":[],"label_agreement":null},{"id":"W3108047812","doi":"10.1145/3414685.3417825","title":"Learned feature embeddings for non-line-of-sight imaging and recognition","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Artificial intelligence; Computer vision; Non-line-of-sight propagation; Feature (linguistics); Encoder; Feature learning; Wireless","score_opus":0.033267681311876914,"score_gpt":0.2830899401513743,"score_spread":0.24982225883949738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108047812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01844178,0.00049601466,0.9775534,0.00026828202,0.00004864902,0.00003228545,0.00033664098,0.0016903956,0.001132522],"genre_scores_gemma":[0.66000193,0.0009863608,0.32558843,0.0004284501,0.0001382639,0.0002924187,0.0038270135,0.0006009646,0.00813622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994356,0.00013469024,0.000028626468,0.00020368405,0.00013290554,0.000064466694],"domain_scores_gemma":[0.9987349,0.0005892897,0.00015620701,0.00028370018,0.00017804845,0.000057917983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007061202,0.0013037297,0.0007931189,0.0006264019,0.00027226206,0.000878722,0.0016096062,0.0014254133,0.0033037318],"category_scores_gemma":[0.0040779426,0.00058694603,0.0009616677,0.0006088478,0.001103622,0.0020706584,0.0015387535,0.002785206,0.0016074467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001766838,0.00019091307,0.0020067608,0.00021937335,0.00008071734,0.00015465124,0.0001509973,0.6434797,0.008175271,0.03743689,0.007134421,0.30079362],"study_design_scores_gemma":[0.0000057399234,0.000026369553,0.00015976465,0.00001159992,0.0000053282006,0.000031004412,0.000011436276,0.983621,0.0013049288,0.013801441,0.0010133128,0.000008128892],"about_ca_topic_score_codex":0.0031492813,"about_ca_topic_score_gemma":0.004528309,"teacher_disagreement_score":0.0033037318,"about_ca_system_score_codex":0.00091957254,"about_ca_system_score_gemma":0.00075180945,"threshold_uncertainty_score":0.011052072},"labels":[],"label_agreement":null},{"id":"W3108236215","doi":"10.1145/3414685.3417772","title":"VDAC","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carving; Computer science; Volume (thermodynamics); Decomposition; Set (abstract data type); Curvature; Block (permutation group theory); Algorithm; Path (computing); Mathematics; Geometry; Engineering","score_opus":0.02058291992187087,"score_gpt":0.23741863288230283,"score_spread":0.21683571296043197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108236215","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022758495,0.0049528005,0.25398132,0.0035677205,0.0075176805,0.0006384095,0.01674026,0.11755298,0.59277296],"genre_scores_gemma":[0.043877266,0.00637097,0.15372741,0.0044093966,0.0022479312,0.0010175068,0.065118074,0.027109968,0.69612145],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973214,0.00031883735,0.00017610322,0.00078421005,0.0011164139,0.0002831358],"domain_scores_gemma":[0.9975986,0.00028346496,0.00009621555,0.0010345231,0.0007026794,0.00028445423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001640836,0.0027379899,0.0019280951,0.0029959737,0.0019506086,0.009013241,0.0056931577,0.005321286,0.6093534],"category_scores_gemma":[0.0050333617,0.0012595442,0.0017762571,0.002720455,0.0010736795,0.0055594784,0.0071713217,0.003326139,0.5624683],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022306299,0.00012741105,0.00058244786,0.0008538802,0.00006955585,0.00031150033,0.00015376095,0.0044036307,0.0043950984,0.036754053,0.53824776,0.41387787],"study_design_scores_gemma":[0.000050168546,0.00003845958,0.00019466024,0.0001468158,0.00001541521,0.00029952166,0.000051584993,0.007545253,0.0017112107,0.013802307,0.9761035,0.00004115841],"about_ca_topic_score_codex":0.0031036823,"about_ca_topic_score_gemma":0.0029462872,"teacher_disagreement_score":0.6093534,"about_ca_system_score_codex":0.00158933,"about_ca_system_score_gemma":0.0024588844,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3108299468","doi":"10.1145/3414685.3417844","title":"Freeform quad-based kirigami","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Austrian Science Fund; Vienna Science and Technology Fund","keywords":"Polygon mesh; Computer science; Gauss; Process (computing); Surface (topology); Gaussian curvature; Geometry; Domain (mathematical analysis); Skinning; Transformation (genetics); Computer graphics; Computer graphics (images); Planar; Geometry processing; Computational science; Mathematics; Curvature; Mathematical analysis; Engineering; Physics; Mechanical engineering","score_opus":0.02262896583702778,"score_gpt":0.2171894272588758,"score_spread":0.19456046142184802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108299468","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2403199,0.000158325,0.7297221,0.00013305715,0.00012960406,0.00006184677,0.00023334494,0.0011245231,0.028117303],"genre_scores_gemma":[0.8586858,0.000116807634,0.13040084,0.000049826987,0.0000110892715,0.000040484683,0.00022305002,0.00018443276,0.010287697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999281,0.0000064820756,0.0000026770101,0.000017247397,0.000032471107,0.000013101448],"domain_scores_gemma":[0.9999186,0.000012538239,0.000010082255,0.000030269608,0.00001744483,0.000011028875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000700139,0.00028092787,0.00025094,0.00023898245,0.00032664437,0.0005104615,0.0004679646,0.00040835695,0.006296068],"category_scores_gemma":[0.00033681147,0.0001689879,0.000322857,0.00019382023,0.0005027887,0.00077390095,0.0008485318,0.00039386365,0.001024424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002056256,0.00008631387,0.0018185006,0.00014012223,0.000031002754,0.00043876795,0.00047216602,0.3872142,0.11039601,0.3446287,0.0038497914,0.1507188],"study_design_scores_gemma":[0.000018952269,0.00018918474,0.0007556118,0.000021313426,0.000011200399,0.00035181662,0.000118471005,0.8937002,0.026775613,0.05328285,0.024739876,0.000034950834],"about_ca_topic_score_codex":0.00096584513,"about_ca_topic_score_gemma":0.0012252341,"teacher_disagreement_score":0.006296068,"about_ca_system_score_codex":0.00030597547,"about_ca_system_score_gemma":0.00025616758,"threshold_uncertainty_score":0.021062434},"labels":[],"label_agreement":null},{"id":"W3108801108","doi":"10.1145/3414685.3417800","title":"MapTree","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Pointwise; A priori and a posteriori; Artificial intelligence; Representation (politics); Pattern recognition (psychology); Symmetry (geometry); Algorithm; Mathematics; Computer vision; Geometry","score_opus":0.028437964803113912,"score_gpt":0.2120802099243879,"score_spread":0.18364224512127397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108801108","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050296313,0.0009967897,0.9047896,0.0005321484,0.00035057645,0.0002331862,0.00905061,0.04409526,0.034922134],"genre_scores_gemma":[0.08918527,0.001762922,0.83118767,0.0007889149,0.00013033958,0.0005337291,0.040248353,0.009198363,0.02696447],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934226,0.00007642357,0.00003469036,0.00014258793,0.00032851583,0.000075423355],"domain_scores_gemma":[0.9992931,0.00013746138,0.000033549073,0.00029023658,0.0001822391,0.00006328589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004192958,0.000893203,0.0007118434,0.0021351024,0.0009505946,0.0023087237,0.002117498,0.0011338406,0.03466508],"category_scores_gemma":[0.0022624398,0.0006415864,0.0011083178,0.0026120387,0.00043052877,0.004099754,0.0033879895,0.0014740244,0.02211427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021173642,0.00012686358,0.00092649955,0.0007498119,0.00010681151,0.0002859992,0.0004305834,0.020166455,0.0081376415,0.09460485,0.22197038,0.65228224],"study_design_scores_gemma":[0.00003668199,0.000068552225,0.0006364328,0.00011356406,0.000037532154,0.0006739504,0.0002262434,0.110020354,0.00981559,0.106001325,0.7723002,0.000069569905],"about_ca_topic_score_codex":0.0026497936,"about_ca_topic_score_gemma":0.004901811,"teacher_disagreement_score":0.03466508,"about_ca_system_score_codex":0.0006366374,"about_ca_system_score_gemma":0.001103414,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3108804300","doi":"10.1145/3414685.3417881","title":"Screen-space blue-noise diffusion of monte carlo sampling error via hierarchical ordering of pixels","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Scrambling; Pixel; Algorithm; Monte Carlo method; Computer science; Sampling (signal processing); Noise (video); Context (archaeology); Sample (material); Scalability; Artificial intelligence; Mathematics; Computer vision; Image (mathematics); Physics; Statistics","score_opus":0.046212018540624636,"score_gpt":0.29738044716527984,"score_spread":0.2511684286246552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108804300","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049635872,0.000075140895,0.94590795,0.00012868897,0.000030485378,0.00004053682,0.00003307459,0.0011041709,0.0030441224],"genre_scores_gemma":[0.58829373,0.00010518889,0.40650555,0.00016372954,0.000026854203,0.00013801472,0.00008556259,0.0004911001,0.0041902373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992029,0.00018411025,0.00004889027,0.00012257442,0.0003741918,0.00006745731],"domain_scores_gemma":[0.99733424,0.0010756026,0.0002152494,0.00085979875,0.0003820936,0.00013306306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008580703,0.00039077294,0.00043501664,0.00068322883,0.0006483081,0.00097777,0.0011156241,0.0006443157,0.0019660129],"category_scores_gemma":[0.0062013245,0.0003780471,0.00037674993,0.0005789356,0.0014283342,0.001527987,0.0018356328,0.0010066215,0.00043408747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037210967,0.00014661663,0.0027146996,0.00013151106,0.00003581196,0.0004150271,0.0012794918,0.29775137,0.13914023,0.43327612,0.0023999584,0.1223371],"study_design_scores_gemma":[0.000023554509,0.00005302803,0.00029139256,0.000013342394,0.000010552609,0.00011209122,0.000053172105,0.907514,0.037408262,0.050758243,0.003738154,0.000024261777],"about_ca_topic_score_codex":0.0023701726,"about_ca_topic_score_gemma":0.003086153,"teacher_disagreement_score":0.0023701726,"about_ca_system_score_codex":0.0010625336,"about_ca_system_score_gemma":0.000867363,"threshold_uncertainty_score":0.007709205},"labels":[],"label_agreement":null},{"id":"W3109881732","doi":"10.1145/3414685.3417778","title":"Opening and closing surfaces","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Autodesk; Adobe Systems","keywords":"Closing (real estate); Discretization; Curvature; Surface (topology); Flow (mathematics); Dilation (metric space); Mathematics; Geometry; Planar; Computer science; Computer graphics (images); Mathematical analysis","score_opus":0.04541286834548883,"score_gpt":0.2905812979257749,"score_spread":0.2451684295802861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109881732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005604993,0.0002151576,0.98975396,0.00017121337,0.00018677305,0.000049622067,0.000060581187,0.0009029365,0.003054825],"genre_scores_gemma":[0.17288417,0.0007529575,0.8157221,0.00031076698,0.0003480163,0.00016703243,0.0003899453,0.0011052475,0.008319757],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849725,0.00015065544,0.000098821656,0.00038221883,0.00074282044,0.00012826544],"domain_scores_gemma":[0.998243,0.0005318506,0.00013642201,0.0005302117,0.00037592143,0.00018263745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013716716,0.0009710348,0.0009118206,0.0014654171,0.00084914046,0.0029520474,0.0018211954,0.0017073033,0.008020245],"category_scores_gemma":[0.0056165676,0.0006848517,0.0015540473,0.00089790084,0.002098855,0.0042279162,0.0027019908,0.002230458,0.0018163829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024296099,0.000085071406,0.0012270693,0.0004237408,0.00004016056,0.00041526044,0.0006100104,0.091756664,0.06847915,0.39711437,0.009413525,0.430192],"study_design_scores_gemma":[0.00008132695,0.00023354168,0.0006378555,0.00006737665,0.000037911366,0.0010137325,0.000118452524,0.66678065,0.046173792,0.20601527,0.078761995,0.00007806598],"about_ca_topic_score_codex":0.00049143133,"about_ca_topic_score_gemma":0.00033966187,"teacher_disagreement_score":0.008020245,"about_ca_system_score_codex":0.00057672686,"about_ca_system_score_gemma":0.00071901956,"threshold_uncertainty_score":0.026830435},"labels":[],"label_agreement":null},{"id":"W3109908677","doi":"10.1145/3414685.3417799","title":"Surface-only ferrofluids","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Ferrofluid; Inviscid flow; Mechanics; Compressibility; Magnetization; Solver; Magnetic field; Surface (topology); Classical mechanics; Physics; Computer science; Materials science; Mathematics; Geometry; Mathematical optimization","score_opus":0.024735227545058986,"score_gpt":0.22505924532272137,"score_spread":0.20032401777766237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109908677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23943493,0.0003114767,0.7335165,0.00044462382,0.00017279186,0.00010405533,0.00027173103,0.001051804,0.024692077],"genre_scores_gemma":[0.846002,0.00024093155,0.1454953,0.000121545054,0.000026744297,0.00014067935,0.00018323863,0.00016113455,0.007628466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988985,0.000017296581,0.0000039427514,0.000015109759,0.00005384394,0.000019912286],"domain_scores_gemma":[0.9998752,0.0000425274,0.00001404675,0.000020972995,0.000030071778,0.000017252341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010531251,0.0002474536,0.0004509926,0.0002485562,0.0003588476,0.0006925684,0.0008175448,0.0009756613,0.0020328967],"category_scores_gemma":[0.00047881753,0.0001611458,0.00034796228,0.00019434726,0.00065754587,0.0006833447,0.0008002255,0.00041341642,0.00049300806],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011955727,0.00009899658,0.0014077277,0.00019648655,0.00002953636,0.00041613917,0.0003518346,0.7588494,0.09228481,0.103171416,0.0016365801,0.04143749],"study_design_scores_gemma":[0.000019852509,0.00003713715,0.000107033506,0.0000060423345,0.000004402101,0.00006026822,0.000027594064,0.9793991,0.009608432,0.006618841,0.004101312,0.000009925265],"about_ca_topic_score_codex":0.0020506743,"about_ca_topic_score_gemma":0.0014638792,"teacher_disagreement_score":0.0020506743,"about_ca_system_score_codex":0.0003498621,"about_ca_system_score_gemma":0.00069610856,"threshold_uncertainty_score":0.0068007708},"labels":[],"label_agreement":null},{"id":"W3109952375","doi":"10.1145/3414685.3417766","title":"ADD","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Eidgenössische Technische Hochschule Zürich; European Commission","keywords":"Solver; Smoothness; Differentiable function; Computer science; Contact dynamics; Sensitivity (control systems); Trajectory; Contact force; Robot; Mathematical optimization; Control theory (sociology); Artificial intelligence; Mathematics; Mathematical analysis; Physics; Classical mechanics; Control (management)","score_opus":0.015006783209144734,"score_gpt":0.19799197296390883,"score_spread":0.1829851897547641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109952375","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004122338,0.0011007881,0.13603128,0.0027091166,0.003753741,0.00057943026,0.010671439,0.03519923,0.8058326],"genre_scores_gemma":[0.038000714,0.0014901097,0.08078598,0.0031143958,0.0009100331,0.0005507515,0.022617375,0.010181901,0.84234864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851483,0.00013748824,0.00008952138,0.00032084595,0.0007311189,0.00020617121],"domain_scores_gemma":[0.99812466,0.00018752353,0.00008770713,0.00072652334,0.00060648157,0.00026708774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008733015,0.0016953036,0.0008849937,0.002053125,0.00198004,0.0055202497,0.0038607332,0.002904428,0.5925378],"category_scores_gemma":[0.0041811476,0.0008387487,0.0013554405,0.0014806018,0.0006852539,0.0052226,0.0073979036,0.0020114991,0.48257893],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025289526,0.00019804406,0.0010796728,0.00062803214,0.000044853827,0.00061705697,0.00033304584,0.0030898163,0.007257694,0.057495363,0.4616642,0.4673393],"study_design_scores_gemma":[0.000019183408,0.00003737349,0.00026957097,0.0000775259,0.000015625985,0.00037491063,0.000080737445,0.0030072946,0.0028851533,0.009742664,0.98346114,0.000028875807],"about_ca_topic_score_codex":0.0020572199,"about_ca_topic_score_gemma":0.0031088341,"teacher_disagreement_score":0.5925378,"about_ca_system_score_codex":0.0008752738,"about_ca_system_score_gemma":0.0015131948,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3110015222","doi":"10.1145/3414685.3417810","title":"DHFSlicer","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Slab; Wafer; Embedding; Block (permutation group theory); Fabrication; Process (computing); Surface (topology); Computer science; Decomposition; Materials science; Geometry; Mechanical engineering; Engineering drawing; Mathematics; Engineering; Structural engineering; Optoelectronics; Artificial intelligence; Chemistry","score_opus":0.03950997828536335,"score_gpt":0.2540276153097634,"score_spread":0.21451763702440008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110015222","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02025291,0.0012645255,0.77880955,0.00042441962,0.00058446144,0.0003152936,0.0045913113,0.09604152,0.097716086],"genre_scores_gemma":[0.18780215,0.0010918331,0.65715706,0.00083718094,0.00018363085,0.0005657332,0.017161231,0.013250487,0.1219507],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925345,0.000057847177,0.00004152775,0.00015700443,0.0003962887,0.00009384573],"domain_scores_gemma":[0.99935275,0.00014520097,0.000049786613,0.00021816837,0.00017886306,0.000055207915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065428024,0.0009813574,0.00064910535,0.0009917798,0.00062743796,0.0014185086,0.0015609168,0.0011219606,0.06661078],"category_scores_gemma":[0.0012199874,0.0005053942,0.00069558335,0.00064636185,0.0005237824,0.0016278217,0.0013777162,0.0013502237,0.022480784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075147976,0.00023483361,0.0009772821,0.00078999664,0.00006764095,0.00038683784,0.0002844137,0.026622493,0.117845364,0.039587658,0.18667369,0.6257783],"study_design_scores_gemma":[0.00027804985,0.00033931618,0.00116682,0.000085205895,0.000033460827,0.00085291796,0.00011422248,0.22788328,0.17872167,0.013929951,0.5764628,0.00013232033],"about_ca_topic_score_codex":0.0014100067,"about_ca_topic_score_gemma":0.0033341474,"teacher_disagreement_score":0.06661078,"about_ca_system_score_codex":0.00067820505,"about_ca_system_score_gemma":0.0010407631,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3136918727","doi":"10.1145/1276377.1276502","title":"A fast variational framework for accurate solid-fluid coupling","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":226,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coupling (piping); Computer science; Projection (relational algebra); Regular grid; Flow (mathematics); Cartesian coordinate system; Grid; Fluid dynamics; Boundary (topology); Projection method; Boundary value problem; Mathematical optimization; Algorithm; Geometry; Mechanics; Mathematics; Physics; Mathematical analysis; Mechanical engineering; Dykstra's projection algorithm","score_opus":0.03801446439308842,"score_gpt":0.34436875409719836,"score_spread":0.30635428970410994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136918727","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027765862,0.000091156166,0.9948447,0.00009854856,0.000035888832,0.000020173207,0.000028426111,0.00009347526,0.0020110437],"genre_scores_gemma":[0.32039252,0.00065276644,0.6632074,0.00021059104,0.00017959322,0.0003919184,0.00024793795,0.0006620739,0.014055221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994573,0.00016284591,0.000022559561,0.0000665975,0.00023552617,0.00005517821],"domain_scores_gemma":[0.99927634,0.00033565777,0.00005916028,0.000105520034,0.00013998852,0.000083350715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013467906,0.0008131709,0.0008681861,0.0007018483,0.0007587192,0.0010599172,0.0016871466,0.0014093468,0.0038982246],"category_scores_gemma":[0.0028093355,0.0006333086,0.0009364073,0.00048547526,0.0014181918,0.0014805954,0.0027629845,0.0018080315,0.0008083169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001775033,0.000019778976,0.00014416767,0.00005133922,0.000016903257,0.00005641135,0.00007499163,0.5793899,0.005271299,0.40351918,0.0008547382,0.01058345],"study_design_scores_gemma":[0.0000037552938,0.000007687556,0.000016791935,0.0000028568552,0.0000015541119,0.000008338399,0.000004648442,0.964148,0.00035211944,0.034189247,0.0012603432,0.0000047422177],"about_ca_topic_score_codex":0.003473558,"about_ca_topic_score_gemma":0.0026877783,"teacher_disagreement_score":0.0038982246,"about_ca_system_score_codex":0.0011383947,"about_ca_system_score_gemma":0.0014861135,"threshold_uncertainty_score":0.0130409},"labels":[],"label_agreement":null},{"id":"W3136970581","doi":"10.1145/1882261.1866177","title":"Automatic reconstruction of tree skeletal structures from point clouds","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Point cloud; Robustness (evolution); Computer science; Tree (set theory); Segmentation; Artificial intelligence; Computer vision; 3D reconstruction; Mathematics","score_opus":0.008571236423343634,"score_gpt":0.22535742726196945,"score_spread":0.21678619083862583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136970581","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0654351,0.0001407579,0.9301091,0.00008684513,0.000022692659,0.000060627324,0.00035132217,0.0028960598,0.0008974488],"genre_scores_gemma":[0.2800686,0.00024530702,0.7165259,0.000041202922,0.000019982508,0.000073521245,0.0014939861,0.00059490115,0.00093657966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992557,0.00008401601,0.00003530545,0.00016933093,0.00037200953,0.00008359139],"domain_scores_gemma":[0.99892235,0.00033508253,0.00013793344,0.00027515023,0.00027693537,0.000052571064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006573736,0.0012223801,0.0011029158,0.0023871856,0.00057583186,0.001407055,0.0015923604,0.0012133787,0.0013211237],"category_scores_gemma":[0.0022040086,0.0014022567,0.0011090925,0.002205709,0.000718076,0.0015011594,0.0011569462,0.0017326303,0.00089919195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020014205,0.00018604832,0.004810923,0.00019417645,0.00013662339,0.00040200754,0.00039226143,0.45532256,0.116267845,0.0073659685,0.0058879713,0.40883344],"study_design_scores_gemma":[0.000009757598,0.000020324927,0.0010508199,0.000008185367,0.000010205854,0.00012590409,0.00006293779,0.98125595,0.013777431,0.0026578458,0.0010031773,0.000017435439],"about_ca_topic_score_codex":0.005273444,"about_ca_topic_score_gemma":0.012882283,"teacher_disagreement_score":0.005273444,"about_ca_system_score_codex":0.00047174288,"about_ca_system_score_gemma":0.0014600166,"threshold_uncertainty_score":0.01048547},"labels":[],"label_agreement":null},{"id":"W3137185495","doi":"10.1145/1882261.1866206","title":"Style-content separation by anisotropic part scales","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National University of Defense Technology; National Natural Science Foundation of China","keywords":"Style (visual arts); Set (abstract data type); Computer science; Cluster analysis; Segmentation; Content (measure theory); Artificial intelligence; Pattern recognition (psychology); Mathematics","score_opus":0.021904373546477028,"score_gpt":0.23872507315658417,"score_spread":0.21682069961010714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137185495","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040290907,0.000115766845,0.95557374,0.000059373662,0.000042761574,0.000055930657,0.00005017198,0.00090486644,0.002906588],"genre_scores_gemma":[0.43237418,0.00016872224,0.561545,0.00010610161,0.00009698703,0.000119761404,0.00023924715,0.00081134145,0.004538648],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988242,0.00013092322,0.00005406488,0.00028635855,0.0005987774,0.000105679705],"domain_scores_gemma":[0.998142,0.00038256118,0.00021128081,0.00077036803,0.00036936198,0.00012442587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008412596,0.0009930402,0.00097572873,0.0018980271,0.0007594393,0.0022640668,0.0011946652,0.0008758866,0.0026913546],"category_scores_gemma":[0.0029587692,0.0006404619,0.001347563,0.0020048143,0.0011749946,0.0017400607,0.0019046647,0.0011720731,0.0013566349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040521787,0.00016932745,0.003291837,0.00018126752,0.00017710359,0.00029959684,0.00075025036,0.110384874,0.3606735,0.031476565,0.003380768,0.4888097],"study_design_scores_gemma":[0.000029006273,0.00012070789,0.0046427725,0.000012056355,0.000081109494,0.0005085934,0.00015407929,0.8211978,0.13401693,0.028291814,0.010847809,0.00009728703],"about_ca_topic_score_codex":0.0010496251,"about_ca_topic_score_gemma":0.001452674,"teacher_disagreement_score":0.0026913546,"about_ca_system_score_codex":0.0006967985,"about_ca_system_score_gemma":0.0005959575,"threshold_uncertainty_score":0.00900352},"labels":[],"label_agreement":null},{"id":"W3137751744","doi":"10.1145/1882261.1866166","title":"Light reallocation for high contrast projection using an analog micromirror array","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Projector; Brightness; Computer science; Spatial light modulator; Contrast (vision); Optics; Process (computing); Projection (relational algebra); Computer vision; Software; Image quality; Light intensity; Image (mathematics); Artificial intelligence; Computer graphics (images); Physics; Algorithm","score_opus":0.02367089486770856,"score_gpt":0.27411103124698316,"score_spread":0.2504401363792746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137751744","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13749115,0.00025016573,0.855434,0.000166407,0.00010558303,0.0001526719,0.00004449998,0.0019056263,0.0044499217],"genre_scores_gemma":[0.37312946,0.00010253527,0.62505937,0.00005160677,0.00001788913,0.000063664505,0.000022517372,0.00007757237,0.0014754001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996897,0.00003571873,0.000016397706,0.000037843394,0.00018860894,0.00003163074],"domain_scores_gemma":[0.99963045,0.00014549834,0.00005107433,0.00005825561,0.000078698686,0.000036060104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039948168,0.0004685297,0.00028949438,0.0001640271,0.00022665686,0.00051704346,0.000764237,0.00033710798,0.0024432335],"category_scores_gemma":[0.00094061624,0.00027027578,0.00028304098,0.00011110898,0.0003263138,0.0005705701,0.0005168552,0.0004945681,0.00040262242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020230628,0.000065738146,0.000398951,0.00021497227,0.000021828399,0.00017621521,0.00007714883,0.0128302965,0.9226941,0.005488973,0.0007175863,0.05711202],"study_design_scores_gemma":[0.00014197355,0.000641069,0.0008180411,0.000019890174,0.000031286265,0.00058271945,0.000036537953,0.16917738,0.81851023,0.0012675198,0.00873313,0.000040124305],"about_ca_topic_score_codex":0.00036241088,"about_ca_topic_score_gemma":0.0006867596,"teacher_disagreement_score":0.0024432335,"about_ca_system_score_codex":0.00039109925,"about_ca_system_score_gemma":0.00053460215,"threshold_uncertainty_score":0.008173406},"labels":[],"label_agreement":null},{"id":"W3138028713","doi":"10.1145/2010324.1964958","title":"Color compatibility from large datasets","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Color perception and design","field":"Psychology","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hue; Computer science; Artificial intelligence; Color model; Compatibility (geochemistry); Theme (computing); Color space; Set (abstract data type); Computer vision; Image (mathematics); World Wide Web","score_opus":0.12223352592225883,"score_gpt":0.3418057257478534,"score_spread":0.21957219982559456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138028713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48315808,0.006146568,0.32325152,0.0033589122,0.0014215165,0.0012290821,0.14904799,0.0144591,0.017927237],"genre_scores_gemma":[0.49197432,0.00077886845,0.28382164,0.0012014024,0.00036519914,0.001101782,0.21745837,0.0009531754,0.0023452777],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99084574,0.0037112902,0.0005611887,0.00218136,0.0023661372,0.00033427423],"domain_scores_gemma":[0.9637609,0.018414099,0.0016877162,0.010734849,0.004770639,0.0006317523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009826988,0.0017100996,0.0013187308,0.0059934454,0.0015340414,0.0036856756,0.0031665792,0.003007285,0.0048996992],"category_scores_gemma":[0.06664265,0.000774379,0.0025213943,0.005617564,0.0012265688,0.005533897,0.0038960604,0.0035567686,0.0026616035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028052714,0.0030833909,0.14816253,0.0031467474,0.0018601007,0.0008950628,0.000819969,0.10209443,0.013784116,0.024779983,0.21650235,0.482066],"study_design_scores_gemma":[0.000735785,0.0007169845,0.10232365,0.00055648043,0.00053156173,0.0015366449,0.0014360677,0.6414857,0.019299738,0.11056347,0.12040555,0.00040839126],"about_ca_topic_score_codex":0.0052758506,"about_ca_topic_score_gemma":0.007363212,"teacher_disagreement_score":0.009826988,"about_ca_system_score_codex":0.0016025276,"about_ca_system_score_gemma":0.0008827287,"threshold_uncertainty_score":0.05197072},"labels":[],"label_agreement":null},{"id":"W3138190323","doi":"10.1145/1882261.1866176","title":"Cone carving for surface reconstruction","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Point cloud; Carving; Visibility; Surface (topology); Computer science; Computer vision; Surface reconstruction; Cone (formal languages); Point (geometry); Artificial intelligence; Geometry; Position (finance); Mathematics; Topology (electrical circuits); Algorithm; Optics; Physics; Combinatorics","score_opus":0.01484575960257848,"score_gpt":0.22584293598961883,"score_spread":0.21099717638704035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138190323","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002963332,0.00006383541,0.99624985,0.00002412847,0.000008199033,0.00001018102,0.00001740712,0.00030043823,0.0003625446],"genre_scores_gemma":[0.17071955,0.00032034988,0.8268121,0.00007206542,0.00003142381,0.000080226906,0.000252063,0.00034831665,0.0013639951],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907935,0.00017489845,0.000034632685,0.0001226619,0.0005189814,0.000069347356],"domain_scores_gemma":[0.99809235,0.00071853044,0.00010871614,0.00043664986,0.00056354445,0.00008018366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001140758,0.00070780184,0.0008951532,0.0010501662,0.00043462348,0.0013548235,0.0013013397,0.0010729828,0.001973053],"category_scores_gemma":[0.0048848446,0.00051140634,0.00092113385,0.0007645608,0.0010612493,0.0014009625,0.0016991162,0.0020076882,0.0008956463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022135796,0.00008334867,0.0012445397,0.00027967992,0.000057671754,0.0003014874,0.00044543456,0.38905957,0.047330476,0.103914954,0.0047358535,0.45232564],"study_design_scores_gemma":[0.000005641512,0.00002459681,0.00010410262,0.0000114541335,0.0000031749125,0.0001002433,0.000023190121,0.97687817,0.007057075,0.012660973,0.003115615,0.00001581738],"about_ca_topic_score_codex":0.002316013,"about_ca_topic_score_gemma":0.0016708919,"teacher_disagreement_score":0.002316013,"about_ca_system_score_codex":0.00044400565,"about_ca_system_score_gemma":0.0007488328,"threshold_uncertainty_score":0.0066005588},"labels":[],"label_agreement":null},{"id":"W3138218344","doi":"10.1145/2010324.1964935","title":"HDR-VDP-2","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":644,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Luminance; Metric (unit); Computer science; Contrast (vision); Rendering (computer graphics); Visibility; Artificial intelligence; Image quality; Computer vision; Image (mathematics); Optics","score_opus":0.04519748489046131,"score_gpt":0.2568153888724903,"score_spread":0.21161790398202895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138218344","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0714709,0.0010782368,0.74419355,0.00044983876,0.00054023345,0.0010628746,0.022821778,0.092232555,0.06615001],"genre_scores_gemma":[0.5085602,0.0006753244,0.40064144,0.00039382273,0.00015392771,0.0008710321,0.052478075,0.010489321,0.025736803],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887866,0.00014141334,0.0000697029,0.00015437874,0.0006794634,0.000076485136],"domain_scores_gemma":[0.9984523,0.0002568666,0.00010988778,0.00040128632,0.0006945956,0.000085076645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092460663,0.0010351307,0.0006535047,0.0013270116,0.00030226453,0.0016193305,0.0012113035,0.0008733398,0.01888948],"category_scores_gemma":[0.004104088,0.00028409754,0.00045920565,0.00081865996,0.00035496082,0.0014980707,0.0011961386,0.0006170266,0.007936635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012024586,0.00037842777,0.007987571,0.00090373465,0.00017011556,0.000285942,0.00018206824,0.04936493,0.10160305,0.01851575,0.13175088,0.68765503],"study_design_scores_gemma":[0.00018938624,0.0006691035,0.018229648,0.0001121166,0.00006031849,0.0012019911,0.00010416258,0.69099337,0.14885883,0.012266793,0.12711436,0.0001999688],"about_ca_topic_score_codex":0.0023749706,"about_ca_topic_score_gemma":0.002212083,"teacher_disagreement_score":0.01888948,"about_ca_system_score_codex":0.0006863405,"about_ca_system_score_gemma":0.0004613085,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3138252781","doi":"10.1145/1276377.1276435","title":"Curl-noise for procedural fluid flow","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Curl (programming language); Turbulence; Vortex; Fluid parcel; Compressibility; Flow (mathematics); Computer science; Fluid dynamics; Noise (video); Mathematics; Geometry; Mechanics; Computer vision; Physics","score_opus":0.027108339777210944,"score_gpt":0.3055684526172433,"score_spread":0.27846011284003236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138252781","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006740424,0.00012913195,0.99249613,0.00010847361,0.00006148904,0.000027283984,0.000044611148,0.002845963,0.0036128778],"genre_scores_gemma":[0.0881174,0.0006782823,0.88707626,0.0005516037,0.00022754738,0.0005813028,0.00048886717,0.0050674705,0.017211333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998654,0.00025090115,0.00007779764,0.00012663053,0.00082886,0.00006189716],"domain_scores_gemma":[0.99882025,0.0005032931,0.000103261256,0.00024324821,0.00024678072,0.00008307751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010900835,0.0010573142,0.0008616175,0.00085632165,0.0008502148,0.0018499829,0.0018233862,0.0016750713,0.010062785],"category_scores_gemma":[0.0053252573,0.0004745633,0.0010367759,0.0006765105,0.001380669,0.0015491799,0.0027307917,0.0026520728,0.004568481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086451386,0.00007777164,0.00032661186,0.00028572348,0.00003451109,0.00027398966,0.00033995393,0.09002885,0.019865585,0.71384436,0.019921865,0.15491432],"study_design_scores_gemma":[0.000029782499,0.000036288722,0.00008394034,0.000054767064,0.000012088669,0.0002116738,0.000020560617,0.7286941,0.0090139685,0.18873042,0.07307729,0.000035097713],"about_ca_topic_score_codex":0.0013879343,"about_ca_topic_score_gemma":0.0019687572,"teacher_disagreement_score":0.010062785,"about_ca_system_score_codex":0.00095524214,"about_ca_system_score_gemma":0.00095943554,"threshold_uncertainty_score":0.033663392},"labels":[],"label_agreement":null},{"id":"W3138833936","doi":"10.1145/2010324.1964975","title":"Photo-inspired model-driven 3D object modeling","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Silhouette; USable; Object (grammar); 3D modeling; Computer vision; Artificial intelligence; Set (abstract data type); Process (computing); Object model; Geometric modeling; Segmentation; Computer graphics (images); Mathematics","score_opus":0.06863724088445168,"score_gpt":0.2842799106044933,"score_spread":0.21564266972004165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138833936","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002479278,0.000056073965,0.99516946,0.000053281492,0.00002155859,0.000029414454,0.000037438193,0.0005112558,0.0016422197],"genre_scores_gemma":[0.10914444,0.00022380277,0.88612735,0.000086922664,0.000019790827,0.00016511769,0.00023154191,0.00038407382,0.003617014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996594,0.000042116113,0.000011067936,0.00006680092,0.00019813365,0.000022398415],"domain_scores_gemma":[0.9997551,0.00006600255,0.000020592915,0.00009828725,0.00004176308,0.000018336812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033184854,0.0006685822,0.000627099,0.00068815274,0.00048173653,0.0012620727,0.0018764436,0.0011231541,0.004213857],"category_scores_gemma":[0.0007645845,0.00069687894,0.0013223164,0.0005924778,0.00077765604,0.0010937107,0.0015813804,0.0009775292,0.0013860691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010357264,0.00007374032,0.00082407705,0.00028862542,0.00008082809,0.00034269842,0.0004452631,0.6604382,0.064375974,0.08047928,0.0068252836,0.18572253],"study_design_scores_gemma":[0.0000067219244,0.000019034202,0.000075597054,0.0000091959155,0.000006753087,0.00014069295,0.00001666382,0.9766144,0.008423507,0.0071688527,0.0075020455,0.000016588396],"about_ca_topic_score_codex":0.0018053151,"about_ca_topic_score_gemma":0.003047968,"teacher_disagreement_score":0.004213857,"about_ca_system_score_codex":0.00068968284,"about_ca_system_score_gemma":0.00065948576,"threshold_uncertainty_score":0.0140967965},"labels":[],"label_agreement":null},{"id":"W3139168740","doi":"10.1145/1276377.1276384","title":"Active learning for real-time motion controllers","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Motion (physics); Motion capture; Scratch; Motion controller; Controller (irrigation); Kinematics; Artificial intelligence; Computer vision; CLIPS; Session (web analytics); On the fly; Motion control; Robot","score_opus":0.014247351918731872,"score_gpt":0.24105110263243532,"score_spread":0.22680375071370346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139168740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029588565,0.00017259178,0.9953094,0.000060394927,0.000024936631,0.000015370488,0.000012192405,0.00037086,0.0010752954],"genre_scores_gemma":[0.6833351,0.0004961372,0.305202,0.00021235851,0.00014141285,0.00034249746,0.00014673048,0.00021121129,0.009912543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993369,0.00017135525,0.000036761823,0.00016145289,0.00022587916,0.00006755778],"domain_scores_gemma":[0.99791616,0.0014420834,0.00013248913,0.00018338177,0.0002648978,0.00006097986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013695974,0.00082377385,0.00067472726,0.0004132198,0.0003565965,0.0010448263,0.0015686413,0.0010463449,0.004284207],"category_scores_gemma":[0.004225648,0.00042541797,0.0004251962,0.00036801488,0.001088555,0.0014233509,0.0009816315,0.0021536262,0.0006498171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022119019,0.00012633711,0.00033455386,0.00015275132,0.000048473557,0.00007309447,0.00015139734,0.73942274,0.008709437,0.050959464,0.0016036525,0.19819692],"study_design_scores_gemma":[0.00001080833,0.000028389957,0.00003456957,0.000005032614,0.000003317516,0.000007690055,0.0000043138452,0.9904356,0.0012572792,0.0071317367,0.0010772226,0.000004085084],"about_ca_topic_score_codex":0.0022600559,"about_ca_topic_score_gemma":0.002518762,"teacher_disagreement_score":0.004284207,"about_ca_system_score_codex":0.0007843744,"about_ca_system_score_gemma":0.0006289974,"threshold_uncertainty_score":0.014332116},"labels":[],"label_agreement":null},{"id":"W3139455976","doi":"10.1145/2010324.1964978","title":"Guide shapes for high resolution naturalistic liquid simulation","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Resolution (logic); Chaotic; High resolution; Computer graphics (images); Shell (structure); Simulation; Computational science; Artificial intelligence; Mechanical engineering; Geology; Engineering","score_opus":0.05805083339533893,"score_gpt":0.31656791681902696,"score_spread":0.258517083423688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139455976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026005136,0.00015065524,0.9630973,0.00021925455,0.00005203532,0.00009613407,0.00009360188,0.0029129884,0.0073730694],"genre_scores_gemma":[0.35902736,0.00028581833,0.6341557,0.00020782673,0.000029537556,0.00036680046,0.0002156169,0.0011799556,0.004531397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973506,0.00008129547,0.000010458976,0.000025420077,0.00012653257,0.00002110862],"domain_scores_gemma":[0.9993211,0.0003391396,0.000045261237,0.00013342939,0.00009469116,0.00006642276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050454197,0.00048208216,0.00040639215,0.00039877492,0.00062005996,0.0009723345,0.0010657827,0.0012729603,0.0045846407],"category_scores_gemma":[0.0034979095,0.00052744045,0.00045443093,0.0002484207,0.00088322384,0.0007657307,0.0015197933,0.0012566706,0.00092421693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001309661,0.00007522185,0.0005318913,0.00011605554,0.000022140695,0.00029262045,0.000283786,0.89400786,0.023927266,0.044346873,0.0037418092,0.032523513],"study_design_scores_gemma":[0.000018486026,0.000015311445,0.00005154515,0.000008693094,0.000001953585,0.000047876358,0.000011866447,0.98828864,0.0026889546,0.0047661746,0.004090324,0.000010134608],"about_ca_topic_score_codex":0.0024619892,"about_ca_topic_score_gemma":0.0033161098,"teacher_disagreement_score":0.0045846407,"about_ca_system_score_codex":0.00070551044,"about_ca_system_score_gemma":0.0009195177,"threshold_uncertainty_score":0.015337169},"labels":[],"label_agreement":null},{"id":"W3139527867","doi":"10.1145/1276377.1276475","title":"Sampling with polyominoes","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Polyomino; Sampling (signal processing); Rendering (computer graphics); Mathematics; Thresholding; Subdivision; Computer science; Point (geometry); Algorithm; Combinatorics; Computer graphics (images); Computer vision; Geometry; Image (mathematics)","score_opus":0.04044670214134317,"score_gpt":0.30411884862235794,"score_spread":0.2636721464810148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139527867","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048725395,0.000076875906,0.9941493,0.00001631952,0.000021692822,0.000020168109,0.000014388967,0.00018787336,0.00064083724],"genre_scores_gemma":[0.14003874,0.00016502409,0.85673416,0.000060035512,0.000058915433,0.00013338172,0.00014140276,0.00018156787,0.002486772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992987,0.00015839624,0.000038933562,0.00011746966,0.00032936383,0.00005709894],"domain_scores_gemma":[0.9991725,0.00032364076,0.0000688866,0.00022044635,0.00015447746,0.000060089744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006741047,0.0004905905,0.00074803084,0.00086501037,0.00045495734,0.0006919931,0.0010258718,0.0005449044,0.0023848393],"category_scores_gemma":[0.0029040303,0.00041945174,0.00067286566,0.00074017333,0.00072672544,0.0009852641,0.0011847398,0.000902878,0.0006339137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041617593,0.000101849735,0.0018622412,0.00033448823,0.00007683638,0.00026133328,0.0003501591,0.37946624,0.054314177,0.091533445,0.0035544138,0.46772873],"study_design_scores_gemma":[0.00002147672,0.000048706876,0.00030130212,0.000009010605,0.000009674567,0.000088411754,0.00001026037,0.9752034,0.007140549,0.012609133,0.0045431466,0.000014909952],"about_ca_topic_score_codex":0.0020433557,"about_ca_topic_score_gemma":0.003442364,"teacher_disagreement_score":0.0023848393,"about_ca_system_score_codex":0.00051341054,"about_ca_system_score_gemma":0.0005704799,"threshold_uncertainty_score":0.007978082},"labels":[],"label_agreement":null},{"id":"W3147968035","doi":"10.1145/3450626.3459670","title":"AMP","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":345,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Motion (physics); Leverage (statistics); Motion capture; Animation; Reinforcement learning; Character animation; Task (project management); Fidelity; Trajectory; Computer vision; Adversarial system; Match moving; Machine learning; Computer animation; Computer graphics (images)","score_opus":0.026608773443806785,"score_gpt":0.238260135768948,"score_spread":0.2116513623251412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147968035","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004915653,0.0018057507,0.10527486,0.0023930103,0.0035884667,0.0006844539,0.020748911,0.06035707,0.8002319],"genre_scores_gemma":[0.06586555,0.0026108022,0.061337803,0.0034605905,0.00083563436,0.0010012448,0.04854985,0.011698612,0.8046399],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990219,0.00009948782,0.0000731794,0.00027847738,0.00038826,0.00013874394],"domain_scores_gemma":[0.9986947,0.0001633833,0.0000625203,0.00042355355,0.00047029468,0.00018559769],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007457031,0.0017735705,0.0009811345,0.0017849725,0.0015806509,0.00391753,0.0025247857,0.002665017,0.53359026],"category_scores_gemma":[0.0030323465,0.00069088873,0.0009840783,0.0012938528,0.0006251512,0.0036414028,0.004415814,0.0016016269,0.4561548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005269236,0.00016979943,0.0010759796,0.00095757114,0.000045080677,0.0004449995,0.0002839627,0.0033478183,0.010558497,0.025308007,0.5247646,0.43251687],"study_design_scores_gemma":[0.000050250193,0.0000648355,0.00057267543,0.00013948539,0.000018381046,0.00030422193,0.00009180676,0.004207191,0.0039325044,0.007804613,0.9827747,0.000039329334],"about_ca_topic_score_codex":0.0020486698,"about_ca_topic_score_gemma":0.0021803323,"teacher_disagreement_score":0.46640974,"about_ca_system_score_codex":0.0008614936,"about_ca_system_score_gemma":0.0014573816,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3148663648","doi":"10.1145/3459090","title":"Mid-Air Drawing of Curves on 3D Surfaces in Virtual Reality","year":2021,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Projection (relational algebra); Computer science; Virtual reality; Human–computer interaction; Mimicry; Computer graphics (images); Artificial intelligence; Object (grammar); Computer vision; Algorithm","score_opus":0.044855582889628196,"score_gpt":0.31991861090094836,"score_spread":0.27506302801132015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148663648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14713344,0.000344136,0.84146106,0.00016483711,0.000042430514,0.00022202359,0.00007352425,0.002695177,0.007863331],"genre_scores_gemma":[0.5632955,0.00053929293,0.4326346,0.00008152362,0.000027410391,0.00019169174,0.000099490004,0.00039739074,0.0027330415],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977449,0.0011981796,0.00010084935,0.00026897652,0.0005732334,0.000113860755],"domain_scores_gemma":[0.9945082,0.0033312945,0.00023890656,0.0013762082,0.00032928167,0.00021615566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020829132,0.0010908273,0.00060511986,0.00069392705,0.0004458886,0.0025551466,0.0013865002,0.0011693387,0.006324656],"category_scores_gemma":[0.013263574,0.0007057697,0.0007137593,0.0005609804,0.001413783,0.0024623205,0.0028954658,0.0009866077,0.0013049558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011435609,0.00038155518,0.0042137452,0.00086900336,0.00008501055,0.0013249582,0.009876598,0.05705826,0.25600916,0.037406143,0.004272349,0.6273597],"study_design_scores_gemma":[0.00031781424,0.005241063,0.017040517,0.0006168109,0.00017294116,0.012437328,0.0041183224,0.5638784,0.21464972,0.053015966,0.12800299,0.0005082136],"about_ca_topic_score_codex":0.00044879215,"about_ca_topic_score_gemma":0.00066313654,"teacher_disagreement_score":0.006324656,"about_ca_system_score_codex":0.0003681684,"about_ca_system_score_gemma":0.00041305143,"threshold_uncertainty_score":0.02115804},"labels":[],"label_agreement":null},{"id":"W3156787889","doi":"10.1145/3446663","title":"Frictional Contact on Smooth Elastic Solids","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Elasticity (physics); Discretization; Solver; Linear elasticity; Computer science; Collision detection; Mathematical optimization; Computer graphics; Algorithm; Mathematics; Mathematical analysis; Collision; Computer graphics (images); Physics; Finite element method","score_opus":0.010516807993440314,"score_gpt":0.20900256482903515,"score_spread":0.19848575683559483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156787889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19242106,0.00059791026,0.7922393,0.00022777994,0.00006701005,0.000054053584,0.00011722154,0.00059068325,0.013684945],"genre_scores_gemma":[0.919435,0.00043278973,0.071100764,0.00007444774,0.000039273502,0.00004452962,0.0001530981,0.0002535278,0.008466564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960166,0.0000771358,0.0000164996,0.00006478282,0.00019258398,0.000047402184],"domain_scores_gemma":[0.99940467,0.00032730168,0.00007287643,0.00007757352,0.00006219497,0.000055350225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026123165,0.0005292862,0.0006246807,0.0006900461,0.00053927326,0.0011779947,0.0006461044,0.001207678,0.0026583627],"category_scores_gemma":[0.0025285725,0.00043589307,0.00060998736,0.00050129875,0.0014165336,0.0012031163,0.001561185,0.0008843055,0.00045339766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068598914,0.000043031843,0.0009615832,0.000075753276,0.000017803955,0.0003523229,0.00016149774,0.9220102,0.010150558,0.047607105,0.0005540492,0.017997546],"study_design_scores_gemma":[0.0000051138495,0.000011322419,0.0001335243,0.0000064488468,0.0000020439204,0.000051071707,0.00002085455,0.9898018,0.0011502955,0.007903724,0.0009080826,0.000005726372],"about_ca_topic_score_codex":0.0034054937,"about_ca_topic_score_gemma":0.0021380864,"teacher_disagreement_score":0.0034054937,"about_ca_system_score_codex":0.00054434506,"about_ca_system_score_gemma":0.0004991714,"threshold_uncertainty_score":0.008893132},"labels":[],"label_agreement":null},{"id":"W3156948055","doi":"10.1145/3197517.3201392","title":"A multi-scale model for simulating liquid-fabric interactions","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Buoyancy; Drag; Mechanics; Capillary pressure; Capillary action; Materials science; Anisotropy; Porous medium; Nonlinear system; Saturation (graph theory); Porosity; Convection; Computer science; Geology; Composite material; Physics; Mathematics; Optics","score_opus":0.08833503353629443,"score_gpt":0.3521321784611168,"score_spread":0.2637971449248223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156948055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08494026,0.00018683748,0.904332,0.00031525458,0.000100597856,0.000108490625,0.00025458116,0.00085889193,0.008903071],"genre_scores_gemma":[0.7618945,0.0003214147,0.22849874,0.00015571604,0.000067036926,0.00044309357,0.00026374936,0.0002818828,0.008073902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998505,0.00003011242,0.000008520711,0.000032043772,0.000055428598,0.000023444018],"domain_scores_gemma":[0.99970007,0.00010943573,0.00004896491,0.00004689701,0.000043789343,0.000050910494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024388214,0.0005994744,0.00068794884,0.00054151047,0.0005986351,0.0011046692,0.001534864,0.0017773651,0.002592927],"category_scores_gemma":[0.0009480078,0.00054417923,0.0008961449,0.0004240535,0.0008854695,0.0011556383,0.0011978585,0.0009907113,0.00043521487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017804288,0.000033874425,0.00037240147,0.000021564076,0.000011732361,0.00006283184,0.00003817655,0.985735,0.0045778584,0.0064625884,0.00020890425,0.0024571633],"study_design_scores_gemma":[0.000003984864,0.0000046245523,0.000027950433,0.0000011178829,0.0000013911375,0.000005184832,0.0000025795093,0.99909925,0.00016955422,0.0004295109,0.0002523827,0.000002455416],"about_ca_topic_score_codex":0.008224064,"about_ca_topic_score_gemma":0.0054667746,"teacher_disagreement_score":0.008224064,"about_ca_system_score_codex":0.0008395287,"about_ca_system_score_gemma":0.0010522422,"threshold_uncertainty_score":0.016352415},"labels":[],"label_agreement":null},{"id":"W3157971972","doi":"10.1145/3450626.3459777","title":"StrokeStrip","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of British Columbia","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Parametric equation; Robustness (evolution); A priori and a posteriori; Parametric statistics; Cluster (spacecraft); Arc length; Algorithm; Artificial intelligence; Geometry; Computer graphics (images); Computer vision; Mathematics; Arc (geometry)","score_opus":0.028971455286574268,"score_gpt":0.2890000829673144,"score_spread":0.26002862768074014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157971972","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008057624,0.00059864554,0.80584747,0.0003227314,0.00057419244,0.00069355225,0.006656028,0.11913681,0.05811291],"genre_scores_gemma":[0.13270508,0.0010882671,0.7247145,0.0006816186,0.00014705946,0.0013318165,0.017193,0.044541903,0.077596806],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899834,0.00009256076,0.00007639406,0.00023771604,0.00050500064,0.00009012518],"domain_scores_gemma":[0.9984006,0.00043058133,0.00009095638,0.00062059617,0.00033713278,0.00012012302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097502477,0.0019250079,0.0009024363,0.0015984914,0.0007545696,0.0033950938,0.003331309,0.0017610011,0.15093383],"category_scores_gemma":[0.006789874,0.0012286057,0.0016354985,0.0014464719,0.00064022484,0.002943273,0.00424142,0.0021232378,0.041544154],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005638079,0.00015342017,0.0014151431,0.0011020199,0.00013805188,0.00054772786,0.0006912502,0.018133305,0.022671016,0.029950317,0.1763186,0.7483153],"study_design_scores_gemma":[0.00020709446,0.00034122588,0.0023910422,0.00026709193,0.00009700659,0.0015691944,0.00032547614,0.21832111,0.058686253,0.041786417,0.6757817,0.00022643027],"about_ca_topic_score_codex":0.001384368,"about_ca_topic_score_gemma":0.002798516,"teacher_disagreement_score":0.15093383,"about_ca_system_score_codex":0.00064318365,"about_ca_system_score_gemma":0.0008678508,"threshold_uncertainty_score":0.50492394},"labels":[],"label_agreement":null},{"id":"W3158117306","doi":"10.1145/3450626.3459768","title":"Surface multigrid via intrinsic prolongation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation; Canada Research Chairs; University of Toronto; European Research Council; German-Israeli Foundation for Scientific Research and Development; Autodesk","keywords":"Multigrid method; Solver; Prolongation; Linear system; Surface (topology); Convergence (economics)","score_opus":0.016045679403737478,"score_gpt":0.2232451346117415,"score_spread":0.20719945520800404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158117306","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063319216,0.00012586825,0.9870455,0.00010028874,0.00008202223,0.000031107316,0.00003478801,0.0009536379,0.005294748],"genre_scores_gemma":[0.2870048,0.00036616297,0.7026422,0.00015981866,0.00013338508,0.00014454353,0.0003228287,0.0012489497,0.00797724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994209,0.00009325101,0.000023255727,0.00007112887,0.00033945031,0.0000520575],"domain_scores_gemma":[0.99941194,0.00018098268,0.000038307404,0.00017485642,0.00014936448,0.000044526023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894613,0.0004947725,0.00062114,0.00062000524,0.000431563,0.00078185543,0.0008825055,0.0006737669,0.0036809316],"category_scores_gemma":[0.0016368197,0.00027170038,0.0008407083,0.00042616358,0.00090722035,0.0011066172,0.0026958815,0.0013381661,0.0014679318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011120661,0.00005191492,0.0010324282,0.00026527423,0.000050411614,0.00034780867,0.000656232,0.506837,0.043457523,0.2197422,0.007859347,0.2195886],"study_design_scores_gemma":[0.00002513893,0.000050963485,0.0001411799,0.00001748835,0.0000071244212,0.00012712792,0.000031866475,0.92797303,0.009910533,0.03765261,0.02404648,0.000016411279],"about_ca_topic_score_codex":0.0009127824,"about_ca_topic_score_gemma":0.0007960197,"teacher_disagreement_score":0.0036809316,"about_ca_system_score_codex":0.00046771712,"about_ca_system_score_gemma":0.0006998815,"threshold_uncertainty_score":0.012313962},"labels":[],"label_agreement":null},{"id":"W3159926201","doi":"10.1145/3507905","title":"DiffusionNet: Discretization Agnostic Learning on Surfaces","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":203,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Mathematical Sciences; Vector Institute; Fields Institute for Research in Mathematical Sciences; Agence Nationale de la Recherche; National Science Foundation","keywords":"Computer science; Polygon mesh; Discretization; Point cloud; Artificial intelligence; Perceptron; Focus (optics); Segmentation; Representation (politics); Deep learning; Surface (topology); Point (geometry); Algorithm; Artificial neural network; Mathematics; Geometry; Computer graphics (images)","score_opus":0.011370680068521079,"score_gpt":0.2070393386575515,"score_spread":0.19566865858903043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159926201","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019535283,0.00043618548,0.9707069,0.00047471368,0.00012960486,0.0000459304,0.00026423685,0.0051735365,0.0032337685],"genre_scores_gemma":[0.52446216,0.00087251107,0.45663676,0.0007035867,0.00016133077,0.00022584094,0.0017181261,0.0011612419,0.014058435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961346,0.000055558914,0.00001576639,0.000114592454,0.0001464394,0.0000541924],"domain_scores_gemma":[0.99939525,0.00023523545,0.00005202664,0.00016036311,0.000107903325,0.00004911167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006833972,0.0010642715,0.0011146686,0.00078714674,0.00038554685,0.0013445133,0.0023813215,0.0016772483,0.004384103],"category_scores_gemma":[0.0028036893,0.0006268964,0.0008207717,0.0009307669,0.0011207418,0.0029258218,0.0022068522,0.0021301128,0.0016271329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014986111,0.00008942294,0.0009237726,0.00015577234,0.00007274562,0.0001282505,0.0000885481,0.67634857,0.010675918,0.042401213,0.010257653,0.2587083],"study_design_scores_gemma":[0.0000063173397,0.0000142855915,0.000039668732,0.000004317211,0.0000025949564,0.000014350862,0.0000043291716,0.9867567,0.0011909942,0.011043516,0.0009197669,0.0000032468988],"about_ca_topic_score_codex":0.00505053,"about_ca_topic_score_gemma":0.0069866576,"teacher_disagreement_score":0.00505053,"about_ca_system_score_codex":0.0012673711,"about_ca_system_score_gemma":0.0008819447,"threshold_uncertainty_score":0.014666259},"labels":[],"label_agreement":null},{"id":"W3165740030","doi":"10.1145/3450626.3459954","title":"Fire in paradise","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Terrain; Computer science; Environmental science; Combustion; Process (computing); Scale (ratio); Fire regime; Ecosystem; Ecology; Geography","score_opus":0.010946259288679037,"score_gpt":0.22381100450395167,"score_spread":0.21286474521527263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165740030","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2726527,0.0014167402,0.037656765,0.004974614,0.0032651208,0.0003522816,0.009514398,0.004604633,0.66556275],"genre_scores_gemma":[0.7244257,0.0012658549,0.023947928,0.00085035985,0.0002458245,0.00019065222,0.007866509,0.00064443203,0.24056268],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99988925,0.000029130693,0.0000028349793,0.000020260462,0.000033563323,0.000024862731],"domain_scores_gemma":[0.999861,0.000028506684,0.000008488706,0.000022471857,0.000018660548,0.00006085406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021588992,0.0002803876,0.00017154995,0.0002740426,0.0012208319,0.0010348585,0.0005772678,0.00062533596,0.05724413],"category_scores_gemma":[0.000621216,0.00013376714,0.0003516571,0.00030974287,0.0002776916,0.0009869641,0.0007246306,0.00076533825,0.006449236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014574918,0.0006404144,0.03054498,0.0004900297,0.00015345101,0.003885587,0.0044403155,0.07035446,0.005345044,0.0815719,0.57888263,0.22223376],"study_design_scores_gemma":[0.00011708011,0.0002505281,0.014734989,0.00014962682,0.000045912067,0.0007495861,0.0030715682,0.056146067,0.0017113852,0.015291599,0.90765053,0.00008110002],"about_ca_topic_score_codex":0.010669249,"about_ca_topic_score_gemma":0.038791355,"teacher_disagreement_score":0.05724413,"about_ca_system_score_codex":0.00037056106,"about_ca_system_score_gemma":0.00034288544,"threshold_uncertainty_score":0.19150066},"labels":[],"label_agreement":null},{"id":"W3166036252","doi":"10.1145/3450626.3459769","title":"Interactive modelling of volumetric musculoskeletal anatomy","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Representation (politics); Segmentation; Point (geometry); Computation; Volume (thermodynamics); Skeleton (computer programming); Medial axis","score_opus":0.01915081884411307,"score_gpt":0.2471927982074706,"score_spread":0.22804197936335752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166036252","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003045864,0.00008137845,0.9926817,0.00006154748,0.00002378508,0.00002799127,0.000073158684,0.0012240954,0.0027806014],"genre_scores_gemma":[0.17286779,0.00070987584,0.81410074,0.00015670052,0.00008528577,0.00026727616,0.00055166474,0.001467464,0.009793287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939334,0.0000883074,0.000030175448,0.00007279995,0.0003757113,0.00003963606],"domain_scores_gemma":[0.9994332,0.0002512797,0.00006333654,0.00010961769,0.00009596268,0.000046538982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053769315,0.00091897516,0.00054145214,0.0011476508,0.00035510046,0.0015565605,0.0018641851,0.0010666985,0.0062548486],"category_scores_gemma":[0.0019771287,0.0008311151,0.0013110096,0.00059557246,0.00096497545,0.0011470873,0.0028126785,0.0010870063,0.0016092192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016120175,0.00008100842,0.0015125037,0.00047494104,0.00011652625,0.0010834486,0.0011415817,0.5915918,0.11167337,0.07319597,0.008324897,0.21064281],"study_design_scores_gemma":[0.00003162374,0.00008066437,0.00048118804,0.00009201755,0.000041759224,0.001347034,0.00006936237,0.9034216,0.02239877,0.023294624,0.048683695,0.000057660487],"about_ca_topic_score_codex":0.0012335142,"about_ca_topic_score_gemma":0.0020392837,"teacher_disagreement_score":0.0062548486,"about_ca_system_score_codex":0.00040908536,"about_ca_system_score_gemma":0.0007787198,"threshold_uncertainty_score":0.020924568},"labels":[],"label_agreement":null},{"id":"W3174139906","doi":"10.1145/3478513.3480518","title":"Neural marching cubes","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Marching cubes; Polygon mesh; Computer science; Tessellation (computer graphics); Vertex (graph theory); Cube (algebra); Convolutional neural network; Isosurface; Network topology; Triangle mesh; Artificial neural network; Discretization; Grid; Algorithm; Topology (electrical circuits); Artificial intelligence; Theoretical computer science; Visualization; Mathematics; Geometry; Computer graphics (images); Combinatorics","score_opus":0.018197947540995713,"score_gpt":0.22941131355391056,"score_spread":0.21121336601291485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174139906","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009845502,0.00034864928,0.9797229,0.00033413083,0.00012253299,0.000052573578,0.00047681207,0.0014280727,0.007668686],"genre_scores_gemma":[0.30735627,0.0009479555,0.67383534,0.0004829204,0.000115077666,0.0003312216,0.002075153,0.0006769537,0.014179074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996959,0.000032973447,0.000019142788,0.000080129175,0.00013644493,0.000035396737],"domain_scores_gemma":[0.99952734,0.00014125035,0.000042415977,0.00012687843,0.000118781034,0.00004336143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003540598,0.0008295778,0.00072797376,0.000612488,0.00046625474,0.0013540109,0.0023479795,0.0011677931,0.008244028],"category_scores_gemma":[0.0026124078,0.0005373079,0.0009835318,0.0007479004,0.0008793242,0.0021812879,0.0019943044,0.0015191993,0.0017746658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007531454,0.000024386265,0.0007627464,0.00015155625,0.000051326566,0.00012481655,0.00008430711,0.7384291,0.005504177,0.090679854,0.0078035425,0.15630881],"study_design_scores_gemma":[0.000004557149,0.000011381597,0.000038257076,0.000010618188,0.0000037671548,0.000036734567,0.000006061056,0.97323245,0.001558265,0.019857189,0.0052337074,0.0000069771713],"about_ca_topic_score_codex":0.004201777,"about_ca_topic_score_gemma":0.0062680845,"teacher_disagreement_score":0.008244028,"about_ca_system_score_codex":0.001061802,"about_ca_system_score_gemma":0.00092893036,"threshold_uncertainty_score":0.02757907},"labels":[],"label_agreement":null},{"id":"W3176833789","doi":"10.1145/3446791","title":"Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Computer science; Pipeline (software); Image processing; Artificial neural network; Zemax; Artificial intelligence; Signal processing; Computer hardware; Software; Image (mathematics)","score_opus":0.029265705605499,"score_gpt":0.27272977314949554,"score_spread":0.24346406754399652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176833789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006305022,0.00007439248,0.9914625,0.00010530635,0.000012374117,0.000020895139,0.000030197172,0.00038061116,0.001608812],"genre_scores_gemma":[0.38087904,0.00023472808,0.60702467,0.00019610583,0.00003171956,0.00024611328,0.0002465338,0.0005064275,0.010634682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996588,0.000075978685,0.000012551526,0.0000720163,0.00013864598,0.00004210633],"domain_scores_gemma":[0.99955493,0.00021823747,0.00004629925,0.00004131122,0.00010733172,0.000031829146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007459789,0.001411766,0.00067809544,0.00036525243,0.0002684777,0.00084206724,0.00087723753,0.001181888,0.003987355],"category_scores_gemma":[0.0017588087,0.0005849439,0.000641296,0.00028447618,0.0008053389,0.0010443376,0.000910344,0.0014568765,0.0008764509],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039675007,0.000022215985,0.00022893399,0.00004497465,0.000015986032,0.00003472735,0.000023415821,0.9665927,0.0032783258,0.0067114406,0.0010904334,0.021916976],"study_design_scores_gemma":[0.000002979291,0.000011588334,0.000024364745,0.0000017544053,0.0000022117272,0.000004808449,0.0000020730802,0.99774075,0.0005212302,0.0013463437,0.00034021962,0.0000016860837],"about_ca_topic_score_codex":0.00342688,"about_ca_topic_score_gemma":0.0048324475,"teacher_disagreement_score":0.003987355,"about_ca_system_score_codex":0.0013131071,"about_ca_system_score_gemma":0.0018543855,"threshold_uncertainty_score":0.013338983},"labels":[],"label_agreement":null},{"id":"W3180898512","doi":"10.1145/3450626.3459817","title":"Discovering diverse athletic jumping strategies","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Autoencoder; Artificial intelligence; Reinforcement learning; Task (project management); Jump; Motion (physics); Imitation; Machine learning; Deep learning; Engineering; Psychology","score_opus":0.023604154045426387,"score_gpt":0.23904859225325856,"score_spread":0.21544443820783216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180898512","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0928166,0.0003842333,0.9016208,0.00025460462,0.000019477468,0.000070852686,0.0001377361,0.00067025254,0.004025467],"genre_scores_gemma":[0.7947367,0.00023229957,0.20087928,0.0001456787,0.000020245157,0.000092277514,0.00030027443,0.00012565452,0.003467617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996449,0.00005970483,0.000014224701,0.00015237296,0.00008419956,0.00004465608],"domain_scores_gemma":[0.99949086,0.00021982264,0.000070311544,0.000067778135,0.0000766839,0.00007449972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005146058,0.0006955532,0.00061983895,0.0007644814,0.0003617852,0.0007435091,0.0010170712,0.0009393159,0.0016315317],"category_scores_gemma":[0.0023036452,0.0005811601,0.000515373,0.00030404577,0.0006910797,0.0010560815,0.0012428364,0.0007899146,0.0003165736],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012551133,0.00015698944,0.0073304498,0.00017006526,0.00012587213,0.0004011723,0.00026486575,0.70384204,0.01932957,0.03111829,0.0024396994,0.23469545],"study_design_scores_gemma":[0.000007673286,0.000031168194,0.00037739985,0.000010880413,0.0000078892845,0.0000610551,0.000023174522,0.98869634,0.00155965,0.0084313685,0.00078581757,0.0000075314692],"about_ca_topic_score_codex":0.0021839433,"about_ca_topic_score_gemma":0.004115382,"teacher_disagreement_score":0.0021839433,"about_ca_system_score_codex":0.00046302797,"about_ca_system_score_gemma":0.0008211667,"threshold_uncertainty_score":0.0054579973},"labels":[],"label_agreement":null},{"id":"W3182862038","doi":"10.1145/3470005","title":"SGN: Sparse Gauss-Newton for Accelerated Sensitivity Analysis","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Hessian matrix; Solver; Newton's method; Nonlinear programming; Sensitivity (control systems); Applied mathematics; Lagrange multiplier; Mathematical optimization; Mathematics; Computer science; Gauss; Inverse; Convergence (economics); Algorithm; Nonlinear system","score_opus":0.13917301097015108,"score_gpt":0.39749980048691497,"score_spread":0.2583267895167639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182862038","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017395627,0.00006852575,0.9939528,0.00012251853,0.00005467675,0.000029197108,0.000046872163,0.00092896726,0.0030567541],"genre_scores_gemma":[0.14685902,0.00033480665,0.84273165,0.00031486026,0.00014989408,0.000268141,0.00031751048,0.0015092178,0.0075148665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992933,0.00016723938,0.000019736146,0.00006499046,0.00040409685,0.000050604343],"domain_scores_gemma":[0.9989999,0.00045679256,0.00008820456,0.00013836681,0.0002606361,0.00005607601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010156585,0.0012521931,0.00080634095,0.000709451,0.00040716885,0.0010577998,0.0009820408,0.0012097493,0.007086004],"category_scores_gemma":[0.0035062798,0.0006278489,0.0007878371,0.00047869547,0.0010158007,0.0008305854,0.0018797249,0.0023037307,0.003093926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121740326,0.00013716813,0.0011221204,0.000333024,0.000094234456,0.0003171106,0.00020653325,0.64985055,0.024011727,0.13436675,0.014875154,0.17456387],"study_design_scores_gemma":[0.000008125021,0.000013713046,0.000052730415,0.0000127963085,0.0000044151975,0.000042185256,0.00000589409,0.98007286,0.00197805,0.012814292,0.0049856924,0.000009294875],"about_ca_topic_score_codex":0.0023563213,"about_ca_topic_score_gemma":0.0032816993,"teacher_disagreement_score":0.007086004,"about_ca_system_score_codex":0.00061980827,"about_ca_system_score_gemma":0.0014892168,"threshold_uncertainty_score":0.023705065},"labels":[],"label_agreement":null},{"id":"W3183534396","doi":"10.1145/3450626.3459772","title":"The shape matching element method","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Canada Research Chairs","keywords":"Feature (linguistics); Animation; Computer science; Matching (statistics); Element (criminal law); Variety (cybernetics); Finite element method; Algorithm; Geometry; Artificial intelligence; Computer graphics (images); Mathematics; Engineering; Structural engineering","score_opus":0.01910414454923673,"score_gpt":0.2653256007062788,"score_spread":0.24622145615704208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183534396","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038130826,0.000068072135,0.99620265,0.00005620889,0.00007417572,0.000026691545,0.000038815422,0.00036356438,0.0027884368],"genre_scores_gemma":[0.02776496,0.00029462326,0.96047807,0.00019466667,0.00009332373,0.00018300064,0.00024990665,0.0006121146,0.010129283],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986628,0.00020412702,0.00005672361,0.00018786546,0.0008168422,0.00007172232],"domain_scores_gemma":[0.9994086,0.00016523786,0.00003044453,0.00017024782,0.00017758332,0.00004782791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078355934,0.000636587,0.00073405326,0.0011679677,0.00054148986,0.001585374,0.0022731556,0.0013574247,0.013759575],"category_scores_gemma":[0.0022581073,0.00057453447,0.0010587702,0.0008540102,0.0009736147,0.0019332414,0.0025828162,0.0019608242,0.0076828734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008836278,0.00009604861,0.00064685545,0.0003096746,0.00006422107,0.00017912731,0.00027993156,0.08326677,0.03919525,0.2859343,0.018326767,0.57161266],"study_design_scores_gemma":[0.00003792476,0.00007294708,0.00025577703,0.000076074786,0.000027506308,0.00056740065,0.00006324192,0.6526973,0.020363854,0.09002887,0.23575386,0.000055204153],"about_ca_topic_score_codex":0.0007129224,"about_ca_topic_score_gemma":0.00082411966,"teacher_disagreement_score":0.013759575,"about_ca_system_score_codex":0.00037656337,"about_ca_system_score_gemma":0.00082258345,"threshold_uncertainty_score":0.046030402},"labels":[],"label_agreement":null},{"id":"W3184390104","doi":"10.1145/3450626.3459840","title":"Bijective and coarse high-order tetrahedral meshes","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Bijection; Polygon mesh; Robustness (evolution); Tetrahedron; Boundary (topology); Algorithm; Computer science; Mathematics; Surface (topology); Geometry processing; Mesh generation; Geometry; Topology (electrical circuits); Finite element method; Combinatorics; Mathematical analysis","score_opus":0.015492858101561039,"score_gpt":0.24187293397292384,"score_spread":0.2263800758713628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184390104","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028489882,0.00001394492,0.9945787,0.00002251984,0.00001635961,0.000042022515,0.00003657301,0.00078468764,0.0016562364],"genre_scores_gemma":[0.15441227,0.000059730224,0.8391619,0.000075968994,0.00001741672,0.00020187406,0.00039703076,0.000932305,0.0047414927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985436,0.00017813392,0.00007043529,0.00018047898,0.0009362783,0.000090931935],"domain_scores_gemma":[0.9990221,0.00021982036,0.000068743866,0.00040772336,0.00022575785,0.00005584047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008213041,0.00056278956,0.00052708964,0.00092574157,0.00055812154,0.0017029853,0.0018919358,0.00093976874,0.0045854654],"category_scores_gemma":[0.0046085874,0.00057509553,0.0009332951,0.0006638925,0.001219716,0.0013885485,0.0025104568,0.0016903752,0.0022591387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014775782,0.00010403133,0.0011722593,0.00023302724,0.00004019714,0.00038423596,0.0006569933,0.47574273,0.06275388,0.17822848,0.0056473403,0.27488905],"study_design_scores_gemma":[0.000017761018,0.000060963237,0.00023547003,0.000019982243,0.0000072989096,0.00017904922,0.00006955637,0.9161606,0.019996777,0.046250932,0.016975356,0.000026358859],"about_ca_topic_score_codex":0.0011222899,"about_ca_topic_score_gemma":0.0015191552,"teacher_disagreement_score":0.0045854654,"about_ca_system_score_codex":0.0004820224,"about_ca_system_score_gemma":0.0006134283,"threshold_uncertainty_score":0.015339971},"labels":[],"label_agreement":null},{"id":"W3184614180","doi":"10.1145/3450626.3459779","title":"Direct delta mush skinning compression with continuous examples","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Skinning; Computer science; Algorithm; Compression (physics); Mathematics","score_opus":0.026620574463888935,"score_gpt":0.27633130378777215,"score_spread":0.24971072932388322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184614180","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015507502,0.00015035008,0.9803774,0.00007771073,0.000042663265,0.000055234643,0.000073240895,0.0011517616,0.0025640936],"genre_scores_gemma":[0.2559559,0.00023710045,0.73789984,0.00013549214,0.00004520241,0.00012218628,0.0003746642,0.0005932134,0.004636388],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995788,0.00004550249,0.00002375702,0.000085583735,0.00023592373,0.000030463163],"domain_scores_gemma":[0.9993511,0.00025775356,0.000039446368,0.00021257886,0.00011323373,0.000025938733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046700228,0.00076121517,0.0007020269,0.0005994104,0.00026108525,0.0008292833,0.0012807193,0.0007997002,0.006233569],"category_scores_gemma":[0.00202789,0.00044969463,0.00049756054,0.0006112444,0.00069917395,0.0014090174,0.0015394782,0.001102826,0.0010089071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025509731,0.00006916464,0.0006998424,0.00025235242,0.00003647763,0.00024371299,0.00017757031,0.4108936,0.03400127,0.027439123,0.0063077398,0.51962394],"study_design_scores_gemma":[0.000012250234,0.00003831571,0.000108781154,0.0000108809,0.0000047512476,0.000102953825,0.00002284576,0.9819307,0.009587067,0.005313009,0.0028604,0.000008030866],"about_ca_topic_score_codex":0.0016098928,"about_ca_topic_score_gemma":0.0021388312,"teacher_disagreement_score":0.006233569,"about_ca_system_score_codex":0.00037494287,"about_ca_system_score_gemma":0.00046416768,"threshold_uncertainty_score":0.0208534},"labels":[],"label_agreement":null},{"id":"W3185376398","doi":"10.1145/3450626.3459818","title":"Fusion 360 gallery","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"CAD; Computer science; Sketch; Computer Aided Design; Task (project management); Parametric statistics; Software; Process (computing); Parametric model; Engineering drawing; Artificial intelligence; Software engineering; Programming language; Human–computer interaction; Algorithm; Systems engineering; Engineering","score_opus":0.013491938586486316,"score_gpt":0.2117587678043019,"score_spread":0.19826682921781558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185376398","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10041274,0.0065339385,0.070377015,0.0010253655,0.0010138068,0.0017739366,0.6678376,0.07954901,0.07147658],"genre_scores_gemma":[0.086505845,0.0006883603,0.05598255,0.00032764347,0.00008859519,0.0008571464,0.8279746,0.0028210417,0.024754232],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973834,0.00034602245,0.0001708224,0.00084525655,0.0009300177,0.00032437887],"domain_scores_gemma":[0.9974031,0.00047271568,0.00012263493,0.0014828994,0.00034306382,0.00017569523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015800123,0.002723393,0.0015114113,0.0044978736,0.0014545005,0.0022572738,0.0031268576,0.0030730492,0.041997045],"category_scores_gemma":[0.0046535064,0.00064475794,0.002570627,0.0030970913,0.0010415557,0.0018206666,0.0035418672,0.002379391,0.037592415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014201184,0.00073325704,0.0037691938,0.001863077,0.00027800206,0.0007321878,0.0002724628,0.01795083,0.009249709,0.005653705,0.6671726,0.29090488],"study_design_scores_gemma":[0.000409677,0.00052465964,0.013648364,0.00024740602,0.00012976489,0.0019840966,0.00039627738,0.060705602,0.02716493,0.009650401,0.88496286,0.00017594364],"about_ca_topic_score_codex":0.007758781,"about_ca_topic_score_gemma":0.014436681,"teacher_disagreement_score":0.041997045,"about_ca_system_score_codex":0.0009696504,"about_ca_system_score_gemma":0.0012179357,"threshold_uncertainty_score":0.14049411},"labels":[],"label_agreement":null},{"id":"W3185618248","doi":"10.1145/3450626.3459833","title":"General virtual sketching framework for vector line art","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"National Key Research and Development Program of China; Natural Science Foundation of Guangdong Province","keywords":"Raster graphics; Computer science; Artificial intelligence; Computation; Regularization (linguistics); Vector graphics; Differentiable function; Computer vision; Line (geometry); Computer graphics (images); Computer graphics; Algorithm; Mathematics","score_opus":0.028181787380637053,"score_gpt":0.3127824718924636,"score_spread":0.2846006845118266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185618248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007493711,0.00011943381,0.9956617,0.000034427852,0.000023308114,0.000034930144,0.000090068286,0.0014198753,0.0018669046],"genre_scores_gemma":[0.0850585,0.00064490555,0.89921665,0.00009169589,0.0000648036,0.00023162883,0.0006652521,0.0007769934,0.0132495435],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959797,0.000053541466,0.00002399936,0.00011056142,0.00018218782,0.000031785865],"domain_scores_gemma":[0.99975055,0.00005612971,0.00002080445,0.00008368376,0.000062208004,0.000026605287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043420435,0.001182027,0.00075744884,0.001106722,0.00037593927,0.002277958,0.002565806,0.001234291,0.02124929],"category_scores_gemma":[0.0011963266,0.00062060624,0.0017139658,0.0009504456,0.0007735419,0.0016103329,0.0013975626,0.00168278,0.0052546025],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009844594,0.00008612277,0.00034193086,0.00043515663,0.00008507485,0.00040414793,0.00024025307,0.38381523,0.030772978,0.1217633,0.012605889,0.4493515],"study_design_scores_gemma":[0.000017585286,0.000043204775,0.00010652733,0.00003300003,0.000014083328,0.00031438872,0.000027146585,0.93759805,0.0058000544,0.025781626,0.030235946,0.000028461833],"about_ca_topic_score_codex":0.0026123319,"about_ca_topic_score_gemma":0.0042573777,"teacher_disagreement_score":0.02124929,"about_ca_system_score_codex":0.00055048673,"about_ca_system_score_gemma":0.000672184,"threshold_uncertainty_score":0.07108599},"labels":[],"label_agreement":null},{"id":"W3185784336","doi":"10.1145/3450626.3459880","title":"Optimizing dyadic nets","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Noise (video); Net (polyhedron); Constructive; Key (lock); Transformation (genetics); Algorithm; Function (biology); Sampling (signal processing); Base (topology); Space (punctuation); Theoretical computer science; Process (computing); Mathematics; Artificial intelligence; Image (mathematics); Computer vision","score_opus":0.07488384503163938,"score_gpt":0.3230638008314401,"score_spread":0.24817995579980073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185784336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17851233,0.0004616043,0.7942963,0.00025645352,0.000073542324,0.00005457129,0.00018837988,0.00042197568,0.025734939],"genre_scores_gemma":[0.73990065,0.00035038698,0.24736117,0.00014487363,0.00002721018,0.00015811436,0.00034474212,0.00026353262,0.0114493985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996785,0.00011427185,0.000013540973,0.000061109866,0.00007751356,0.000055143493],"domain_scores_gemma":[0.99948126,0.0003192689,0.0000440759,0.00005018149,0.00006982215,0.00003539204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007104537,0.00057998893,0.0005037956,0.00044444815,0.00034853845,0.0008474789,0.00057727686,0.00056574785,0.0069041224],"category_scores_gemma":[0.0018819583,0.00024857422,0.0003300155,0.00046387222,0.0007309727,0.0009300413,0.0009313426,0.0006407645,0.00074142043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021145023,0.00007298692,0.0010454651,0.00017714295,0.00002463324,0.0001140425,0.00009333888,0.7509825,0.0115543455,0.1696847,0.0016171938,0.06442217],"study_design_scores_gemma":[0.000023162353,0.000093886025,0.00018519627,0.000015737132,0.000007921736,0.00003973944,0.000054690896,0.93724126,0.005123775,0.05404751,0.0031578178,0.000009383388],"about_ca_topic_score_codex":0.00080039736,"about_ca_topic_score_gemma":0.0014373844,"teacher_disagreement_score":0.0069041224,"about_ca_system_score_codex":0.000836735,"about_ca_system_score_gemma":0.00045082218,"threshold_uncertainty_score":0.023096621},"labels":[],"label_agreement":null},{"id":"W3186344031","doi":"10.1145/3450626.3459842","title":"Optimizing UI layouts for deformable face-rig manipulation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Face (sociological concept); Computer graphics (images); Slider; Interface (matter); Object (grammar); Human–computer interaction; Engineering drawing; Computer vision; Artificial intelligence; Mechanical engineering; Engineering","score_opus":0.04385879132233857,"score_gpt":0.26974166020196133,"score_spread":0.22588286887962278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186344031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029442947,0.00024424362,0.9593085,0.0001009185,0.000060851744,0.00017641655,0.000103944214,0.006645144,0.0039169593],"genre_scores_gemma":[0.3356227,0.0002450045,0.6560315,0.00013401597,0.0000262174,0.00032369985,0.000269815,0.0023807627,0.0049662865],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992561,0.00021203408,0.00004923914,0.00012804724,0.00027539997,0.00007916956],"domain_scores_gemma":[0.9985266,0.0006660389,0.00014629021,0.0003264433,0.00021570308,0.00011892449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010168963,0.0015166757,0.0005849275,0.0007560325,0.00041767056,0.0011658203,0.0012294614,0.0009218714,0.009573481],"category_scores_gemma":[0.0059221867,0.00073320774,0.0006357251,0.0004034835,0.0006110583,0.0011107313,0.0016282744,0.000982445,0.0017513793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048645076,0.00040249072,0.0020349917,0.0007359572,0.00008984071,0.000466799,0.00080400135,0.33387464,0.2552807,0.014031283,0.008708435,0.38308436],"study_design_scores_gemma":[0.00011663642,0.00042486738,0.00090172375,0.000056693545,0.000042953423,0.00027339117,0.00017785202,0.9156541,0.06080099,0.006667111,0.014804185,0.00007941997],"about_ca_topic_score_codex":0.000878391,"about_ca_topic_score_gemma":0.0018066483,"teacher_disagreement_score":0.009573481,"about_ca_system_score_codex":0.0007183466,"about_ca_system_score_gemma":0.00050879264,"threshold_uncertainty_score":0.03202653},"labels":[],"label_agreement":null},{"id":"W3186966533","doi":"10.1145/3450626.3459780","title":"Swept volumes via spacetime numerical continuation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Autodesk","keywords":"Spacetime; Lift (data mining); Representation (politics); Continuation; Computer science; Algorithm; Constructive; Moment (physics); Set (abstract data type); Trajectory; Mathematics; Mathematical optimization; Geometry; Classical mechanics","score_opus":0.01158228658487209,"score_gpt":0.2180971367990008,"score_spread":0.20651485021412871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186966533","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009969111,0.00010100716,0.98678267,0.00008179637,0.000030770618,0.000028195132,0.000041977266,0.0004550071,0.0025094068],"genre_scores_gemma":[0.29251704,0.000281941,0.70221186,0.00008491513,0.000045810462,0.0001836654,0.00021159122,0.00057960075,0.003883607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953544,0.00011225651,0.000022845434,0.0000581092,0.00023453613,0.000036828682],"domain_scores_gemma":[0.9990883,0.00043153873,0.00010580436,0.00017303736,0.0001358042,0.00006563324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010768863,0.00083457446,0.00076592737,0.0013728065,0.0005506468,0.001591766,0.0014182202,0.0014261873,0.002468792],"category_scores_gemma":[0.00461632,0.00049969816,0.0010986065,0.0007165573,0.0017623991,0.0014609492,0.002979028,0.001660657,0.00080865977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008705186,0.00003138192,0.00068622665,0.00010310106,0.00003435793,0.00024364683,0.00028202546,0.78692913,0.008643169,0.15799324,0.0010597535,0.04390696],"study_design_scores_gemma":[0.000007662229,0.000012633387,0.000037388032,0.000015078898,0.0000027720998,0.000033866298,0.00001429456,0.96969247,0.001108765,0.027257536,0.0018087839,0.000008749614],"about_ca_topic_score_codex":0.0026893548,"about_ca_topic_score_gemma":0.00226792,"teacher_disagreement_score":0.0026893548,"about_ca_system_score_codex":0.0011878653,"about_ca_system_score_gemma":0.0012600007,"threshold_uncertainty_score":0.008618593},"labels":[],"label_agreement":null},{"id":"W3193870482","doi":"10.1145/3528223.3530093","title":"Fast evaluation of smooth distance constraints on co-dimensional geometry","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Adobe Research; Connaught Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Autodesk","keywords":"Isosurface; Polygon mesh; Point cloud; Computer science; Signed distance function; Function (biology); Point (geometry); Algorithm; Acceleration; Triangle mesh; Surface (topology); Geometry; Mathematics; Topology (electrical circuits); Computer graphics (images); Computer vision; Artificial intelligence; Visualization; Combinatorics; Physics","score_opus":0.028621148625156568,"score_gpt":0.26627032790297844,"score_spread":0.23764917927782186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193870482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02509006,0.000060661765,0.97245127,0.0000659264,0.000030104735,0.000031371124,0.00009732266,0.0008876766,0.0012855625],"genre_scores_gemma":[0.43115386,0.000110292574,0.5649841,0.000084296924,0.00004173406,0.00018244135,0.0005184199,0.0009316339,0.0019932666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984328,0.0002472698,0.00006107092,0.00015207533,0.0009848708,0.000121908226],"domain_scores_gemma":[0.9971391,0.001379954,0.00017884579,0.00043767292,0.0007200609,0.00014433073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012547451,0.001060306,0.0011840583,0.0013798927,0.0005756897,0.0016143965,0.0020405555,0.0012122968,0.0030825047],"category_scores_gemma":[0.009360544,0.00073734496,0.00059140497,0.0011373856,0.0010954358,0.002234002,0.003586505,0.0013770636,0.0008623292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002608253,0.00010167425,0.0025030968,0.00018635634,0.00007199725,0.00020026167,0.00016775278,0.7660299,0.018229114,0.043594483,0.0029975995,0.165657],"study_design_scores_gemma":[0.000008827411,0.00002018912,0.00015180763,0.0000054383536,0.0000017437361,0.00001945342,0.000012926409,0.99066633,0.0029801186,0.0053714546,0.0007532675,0.000008476134],"about_ca_topic_score_codex":0.004147041,"about_ca_topic_score_gemma":0.0054389914,"teacher_disagreement_score":0.004147041,"about_ca_system_score_codex":0.0011501948,"about_ca_system_score_gemma":0.001243978,"threshold_uncertainty_score":0.010312021},"labels":[],"label_agreement":null},{"id":"W3202195948","doi":"10.1145/3386569.3392418","title":"Neural subdivision","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Autodesk; Adobe Systems","keywords":"Subdivision; Polygon mesh; Bijection; Computer science; Vertex (graph theory); Subdivision surface; Algorithm; Invariant (physics); Topology (electrical circuits); Inference; Robustness (evolution); Artificial neural network; Mathematics; Artificial intelligence; Theoretical computer science; Discrete mathematics; Computer graphics (images); Graph; Combinatorics","score_opus":0.021463835023061914,"score_gpt":0.24326133213374587,"score_spread":0.22179749711068397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202195948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057864287,0.00036448517,0.9846485,0.00021608298,0.00010447386,0.000048893213,0.00016489584,0.0010522516,0.0076139634],"genre_scores_gemma":[0.33178344,0.00095813704,0.63743734,0.00066233036,0.00021288595,0.00037261427,0.0017575825,0.0008286579,0.025986921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944395,0.00007963429,0.000030459054,0.00016676636,0.00022194257,0.000057214304],"domain_scores_gemma":[0.9994413,0.00017717214,0.000042498246,0.00017027238,0.00012829088,0.0000403415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006541574,0.00060049,0.0008740574,0.0007603234,0.00055053947,0.0013782136,0.0024665347,0.001297295,0.007859421],"category_scores_gemma":[0.0030408693,0.00044208532,0.000958864,0.0006425391,0.0009536312,0.0017666364,0.0020165048,0.001483216,0.002048669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008631053,0.000051981893,0.0010997889,0.00014651551,0.00005607519,0.00008785596,0.00010401183,0.5584998,0.0057066777,0.12358496,0.010038533,0.30053744],"study_design_scores_gemma":[0.000007407306,0.000016307367,0.000096238764,0.000017481043,0.000006448222,0.000036796213,0.000009569992,0.95223397,0.0012350045,0.037753657,0.008580077,0.0000070827978],"about_ca_topic_score_codex":0.004440472,"about_ca_topic_score_gemma":0.006682455,"teacher_disagreement_score":0.007859421,"about_ca_system_score_codex":0.0011527977,"about_ca_system_score_gemma":0.00095891475,"threshold_uncertainty_score":0.026292324},"labels":[],"label_agreement":null},{"id":"W3202544060","doi":"10.1145/3478513.3480506","title":"I♥LA","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Adobe Systems; National Science Foundation","keywords":"Programming language; Computer science; Executable; Syntax; Python (programming language); Readability; Compiler; Linear algebra; Algebra over a field; Semantics (computer science); Scripting language; Functional programming; Artificial intelligence; Mathematics; Pure mathematics","score_opus":0.021787577430753557,"score_gpt":0.2687248266510491,"score_spread":0.24693724922029553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202544060","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023468696,0.00035880334,0.6542857,0.0018267428,0.0009291344,0.00031873287,0.010392082,0.26817787,0.061364003],"genre_scores_gemma":[0.065430135,0.001071293,0.61544865,0.0049705547,0.0010397013,0.00255371,0.0376011,0.14051768,0.13136707],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766845,0.00053617934,0.00038830907,0.0006128057,0.000539376,0.000254859],"domain_scores_gemma":[0.9931942,0.0027028276,0.0004177595,0.0017033033,0.0016678338,0.0003140109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029228772,0.0016057893,0.0008898019,0.0011340237,0.0013650819,0.0063393153,0.0044518886,0.001980041,0.1096131],"category_scores_gemma":[0.012326575,0.0015806902,0.0024153672,0.0008353525,0.0019463606,0.0073284823,0.0058795945,0.0052108658,0.114109285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005852754,0.00013390362,0.0013595374,0.001650757,0.00006786598,0.0005452678,0.0017631815,0.0029976147,0.011890569,0.3555752,0.44435886,0.17907204],"study_design_scores_gemma":[0.000081024446,0.00009070518,0.00028436736,0.0004154186,0.00003222727,0.00052659796,0.00017799008,0.011492101,0.011910033,0.07056312,0.9043209,0.00010546639],"about_ca_topic_score_codex":0.0015959456,"about_ca_topic_score_gemma":0.0016409251,"teacher_disagreement_score":0.1096131,"about_ca_system_score_codex":0.0012276776,"about_ca_system_score_gemma":0.0028161337,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3206849198","doi":"10.1145/3478513.3480525","title":"Learning to reconstruct botanical trees from single images","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Foundation for Food and Agriculture Research; National Science Foundation","keywords":"Tree (set theory); Computer science; Bounding overwatch; Branching (polymer chemistry); Artificial intelligence; Pipeline (software); Tree structure; Pattern recognition (psychology); Algorithm; Mathematics; Binary tree; Combinatorics","score_opus":0.015680836750160278,"score_gpt":0.23610283684791322,"score_spread":0.22042200009775295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206849198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019862885,0.00009069301,0.9777129,0.00006343341,0.000015610542,0.000028124095,0.00013205738,0.0012106006,0.0008837389],"genre_scores_gemma":[0.19671945,0.000211965,0.80012125,0.0000942622,0.00002619824,0.000062756124,0.0007548592,0.00028402338,0.0017253057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999711,0.000023898378,0.000009496694,0.00012860348,0.00009837481,0.000028613744],"domain_scores_gemma":[0.99958175,0.00012110819,0.00006736869,0.00012228072,0.000075318654,0.000032281398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039699225,0.00082646555,0.0005118511,0.00078024965,0.0002381011,0.000858195,0.0012147208,0.0007830395,0.0018085901],"category_scores_gemma":[0.0013871051,0.0007814822,0.0007709872,0.00054601545,0.0004978879,0.0014437517,0.00087918766,0.001051936,0.00085897394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008479286,0.000095381554,0.0027984048,0.00012835102,0.00008629283,0.00013339992,0.00014574955,0.47889066,0.04860276,0.0063201147,0.0025892023,0.4601249],"study_design_scores_gemma":[0.0000034664592,0.000019584253,0.0004934436,0.000008173052,0.000005711111,0.000070123875,0.00001909688,0.9884405,0.006269747,0.0032672503,0.0013950394,0.000007910482],"about_ca_topic_score_codex":0.0043261256,"about_ca_topic_score_gemma":0.010928439,"teacher_disagreement_score":0.0043261256,"about_ca_system_score_codex":0.0006075827,"about_ca_system_score_gemma":0.00083990756,"threshold_uncertainty_score":0.008601904},"labels":[],"label_agreement":null},{"id":"W3209648960","doi":"10.1145/3520484","title":"Sparsity-Specific Code Optimization using Expression Trees","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Advanced Micro Devices; National Science Foundation","keywords":"Computer science; Parallel computing; Computation; Code (set theory); Kernel (algebra); Graph; Graphics; Generator (circuit theory); Computer graphics; Source code; Set (abstract data type); Algorithm; Code generation; Computational science; Theoretical computer science; Computer graphics (images); Key (lock); Mathematics; Programming language","score_opus":0.054818163909668004,"score_gpt":0.2913854049049199,"score_spread":0.23656724099525187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209648960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03146704,0.00011905182,0.9435631,0.0002060188,0.00008247612,0.00012975093,0.00033777833,0.0173524,0.006742453],"genre_scores_gemma":[0.23728433,0.00016750305,0.7466965,0.00030208717,0.000045754285,0.00041058313,0.0016027725,0.007697873,0.0057925615],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931884,0.00012165366,0.000049700197,0.0001044018,0.00029522215,0.00011023011],"domain_scores_gemma":[0.99903226,0.0003174018,0.00007863434,0.00028332308,0.00024911205,0.000039333878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004993113,0.00082923356,0.0004261502,0.0005485859,0.00036938005,0.0006690622,0.001265014,0.0004977147,0.0044150655],"category_scores_gemma":[0.0029169468,0.000382148,0.00073136465,0.0006844603,0.0006384176,0.0008645234,0.0010363399,0.0013103711,0.002416266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004870832,0.0003581856,0.0050707166,0.0004572994,0.000104487815,0.00051995117,0.00041210756,0.33468035,0.11718458,0.07658747,0.03888962,0.42524815],"study_design_scores_gemma":[0.00007275903,0.00008419156,0.00034342933,0.000022489774,0.000019919877,0.00010076449,0.000042879426,0.91378903,0.04628662,0.019926129,0.019289754,0.000022075466],"about_ca_topic_score_codex":0.0013568269,"about_ca_topic_score_gemma":0.0022077912,"teacher_disagreement_score":0.0044150655,"about_ca_system_score_codex":0.00051006244,"about_ca_system_score_gemma":0.0013002068,"threshold_uncertainty_score":0.014769852},"labels":[],"label_agreement":null},{"id":"W3214127600","doi":"10.1145/3549540","title":"Breaking Good: Fracture Modes for Realtime Destruction","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Eigenvalues and eigenvectors; Fracture (geology); Set (abstract data type); Analogy; Fracture mechanics; Object (grammar); Vibration; Algorithm; Theoretical computer science; Artificial intelligence; Structural engineering; Acoustics; Programming language; Physics; Engineering","score_opus":0.010820320622212398,"score_gpt":0.22828567281068926,"score_spread":0.21746535218847687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214127600","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014467108,0.00026616215,0.97632045,0.00025109405,0.00007375952,0.00002401287,0.00009486765,0.00079918164,0.0077034165],"genre_scores_gemma":[0.40311602,0.00055048784,0.58049816,0.00016359721,0.00009908252,0.00014137987,0.00028142313,0.0008720747,0.014277773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997595,0.000030310892,0.000008020703,0.000045443147,0.0001315661,0.000025147647],"domain_scores_gemma":[0.9996587,0.00012563818,0.000038701444,0.00011406402,0.000036238667,0.000026679088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032376472,0.0006807551,0.00034387453,0.00044164533,0.00043541554,0.0012588,0.001124854,0.0009786525,0.010006964],"category_scores_gemma":[0.001350767,0.00036855362,0.00041913116,0.00029645386,0.0013601448,0.0016893503,0.0017035332,0.0017667935,0.0017802167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018469906,0.00008965684,0.00093692914,0.0003227711,0.000028727352,0.00034712415,0.0006158567,0.22552443,0.10212376,0.46982548,0.010466966,0.18953364],"study_design_scores_gemma":[0.000023976665,0.00005346503,0.00038678633,0.00004773526,0.000008447883,0.0003644933,0.00015806984,0.74840015,0.014212171,0.20977762,0.026529614,0.000037449754],"about_ca_topic_score_codex":0.0006890867,"about_ca_topic_score_gemma":0.00107381,"teacher_disagreement_score":0.010006964,"about_ca_system_score_codex":0.00033959709,"about_ca_system_score_gemma":0.00032035293,"threshold_uncertainty_score":0.03347665},"labels":[],"label_agreement":null},{"id":"W3215295353","doi":"10.1145/3478513.3480529","title":"Keypoint-driven line drawing vectorization via PolyVector flow","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Vectorization (mathematics); Computer science; Raster graphics; Computer graphics (images); Spurious relationship; Animation; Set (abstract data type); Line (geometry); Topology (electrical circuits); Geometric primitive; Flow (mathematics); Task (project management); Geometry processing; Digital geometry; Computational geometry; Geometry; Algorithm; Artificial intelligence; Image processing; Mathematics; Image (mathematics); Digital image; Parallel computing","score_opus":0.023101009603111674,"score_gpt":0.2783387597372208,"score_spread":0.2552377501341091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215295353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003911303,0.000056156812,0.98538184,0.00004878663,0.000028767234,0.00007311556,0.00012953191,0.009820738,0.00054979784],"genre_scores_gemma":[0.09702009,0.00022926516,0.897908,0.00009034635,0.000049277027,0.00016972638,0.0009924201,0.0015650078,0.0019759324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989135,0.00012844858,0.000060450948,0.0003415256,0.00046150005,0.00009451859],"domain_scores_gemma":[0.9985505,0.00031599472,0.0002169531,0.00030216362,0.00051023456,0.00010416565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009133919,0.0021322588,0.001380523,0.0032467255,0.0007599146,0.0027945824,0.0028183884,0.0011590084,0.010890092],"category_scores_gemma":[0.0035991748,0.00086947216,0.0009879157,0.002424153,0.00091761677,0.0030394546,0.001933626,0.0016707607,0.003912186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022815603,0.00012513992,0.0013440215,0.00022166893,0.00005844346,0.00012532588,0.00033041206,0.08227954,0.03724912,0.015000359,0.01198435,0.8510534],"study_design_scores_gemma":[0.000049403574,0.00008132356,0.00057478034,0.000026733731,0.000017372677,0.0001520346,0.00007925998,0.9429896,0.033194233,0.012031357,0.010751268,0.00005268566],"about_ca_topic_score_codex":0.0044841254,"about_ca_topic_score_gemma":0.005720711,"teacher_disagreement_score":0.010890092,"about_ca_system_score_codex":0.0011185261,"about_ca_system_score_gemma":0.0012011995,"threshold_uncertainty_score":0.036431015},"labels":[],"label_agreement":null},{"id":"W4200015218","doi":"10.1145/3478513.3480503","title":"TM-NET","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Youth Innovation Promotion Association; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Texture synthesis; Polygon mesh; Computer science; Texture atlas; Texture compression; Artificial intelligence; Texture mapping; Texture filtering; Computer vision; Algorithm; Pattern recognition (psychology); Geometry; Image texture; Computer graphics (images); Mathematics; Image (mathematics); Image processing","score_opus":0.016620769969002806,"score_gpt":0.220658054424427,"score_spread":0.2040372844554242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200015218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011358881,0.0007901095,0.91589886,0.0007190092,0.0004417388,0.00018877318,0.0050510447,0.030679502,0.03487205],"genre_scores_gemma":[0.28883633,0.001370114,0.61901623,0.0016584692,0.00021870519,0.0008892075,0.025772823,0.005127309,0.05711077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977094,0.000027878468,0.000011688209,0.000082954284,0.00007077041,0.00003577656],"domain_scores_gemma":[0.999752,0.000070848204,0.000015536756,0.00007866668,0.00005140238,0.00003168108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032243525,0.0010369527,0.00064086163,0.0005647318,0.00043285053,0.0015850978,0.0028099234,0.0011347148,0.029499011],"category_scores_gemma":[0.0014112412,0.0005245341,0.0012536263,0.00052560563,0.0005237372,0.0019182458,0.001820256,0.0015595572,0.008613988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040904875,0.00020141469,0.0017685853,0.0005618636,0.00018303748,0.00043737478,0.00011197252,0.42492446,0.011425247,0.09060644,0.101055264,0.36831522],"study_design_scores_gemma":[0.000026838581,0.00004223715,0.00010669477,0.000026385347,0.00001944951,0.00008027466,0.000012513397,0.9350192,0.003012813,0.035090767,0.026549758,0.000013022961],"about_ca_topic_score_codex":0.0047166566,"about_ca_topic_score_gemma":0.011419222,"teacher_disagreement_score":0.029499011,"about_ca_system_score_codex":0.0010293876,"about_ca_system_score_gemma":0.0010147614,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4200036674","doi":"10.1145/3478513.3480501","title":"Large steps in inverse rendering of geometry","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rendering (computer graphics); Differentiable function; Mathematical optimization; Computer science; Inverse problem; Robustness (evolution); Laplace operator; Mathematics; Algorithm; Applied mathematics; Artificial intelligence; Mathematical analysis","score_opus":0.019473235539689927,"score_gpt":0.23069202194448624,"score_spread":0.2112187864047963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200036674","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052765957,0.00052473566,0.9838585,0.0006033511,0.00014642163,0.000058137226,0.000049545913,0.0009330075,0.008549784],"genre_scores_gemma":[0.16018265,0.0010369602,0.8270733,0.0004076657,0.000114324,0.0002243249,0.0001387485,0.0009895164,0.009832519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993074,0.00020870577,0.000024729445,0.00009411718,0.00032638962,0.00003864223],"domain_scores_gemma":[0.99878806,0.000700181,0.0000687452,0.00029290124,0.0001034382,0.00004668932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009753197,0.0007880788,0.0006777408,0.00047611768,0.00068305235,0.0018853606,0.00096157106,0.001604507,0.0060816593],"category_scores_gemma":[0.0046262736,0.0006810085,0.0007197531,0.0004737082,0.0021165502,0.002167955,0.0021407004,0.00328623,0.0023237672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017234935,0.00007047058,0.00046903818,0.00034686903,0.00003356663,0.00031517644,0.0005937754,0.24656901,0.039176922,0.579436,0.0072655748,0.12555127],"study_design_scores_gemma":[0.000051390256,0.000070246235,0.00026753818,0.00008722374,0.000014259552,0.00031873473,0.00010115622,0.6610772,0.019213637,0.27464673,0.044095203,0.000056784098],"about_ca_topic_score_codex":0.0015289169,"about_ca_topic_score_gemma":0.0019740814,"teacher_disagreement_score":0.0060816593,"about_ca_system_score_codex":0.00070096523,"about_ca_system_score_gemma":0.00085994677,"threshold_uncertainty_score":0.020345211},"labels":[],"label_agreement":null},{"id":"W4200152982","doi":"10.1145/3478513.3480539","title":"FrictionalMonolith","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Quadratic growth; Quadratic equation; Inviscid flow; Minification; Computer science; Quadratic programming; Augmented Lagrangian method; Applied mathematics; Mathematical optimization; Algorithm; Mathematics; Classical mechanics; Physics; Geometry","score_opus":0.01575304495430186,"score_gpt":0.22705668871190215,"score_spread":0.2113036437576003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200152982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019482616,0.00016735843,0.9615319,0.00026639612,0.000101561374,0.00006949497,0.0002671347,0.0015467906,0.016566724],"genre_scores_gemma":[0.44403923,0.00033716066,0.53466344,0.00034817876,0.00007623167,0.00033125418,0.00077102653,0.001159285,0.018274201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996886,0.000043071326,0.0000116471,0.000056607663,0.00014971448,0.000050417762],"domain_scores_gemma":[0.9997725,0.000061326966,0.000028514956,0.00004946797,0.000047907695,0.000040373812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036014532,0.00064578245,0.0008815079,0.0003572018,0.0006751579,0.0013312496,0.0021503863,0.0014812062,0.0067778835],"category_scores_gemma":[0.0011425257,0.000488217,0.0007772971,0.00037116086,0.00073524134,0.0012881302,0.002193762,0.0012642406,0.0011585089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091759015,0.0000998656,0.0011527971,0.00020919567,0.00006187623,0.00028410484,0.00017464407,0.8410475,0.010217362,0.09095233,0.0071388367,0.0485697],"study_design_scores_gemma":[0.00001173752,0.000014887947,0.00006566672,0.000007911018,0.0000039094316,0.00004296355,0.000011761195,0.99013585,0.0013158093,0.004219449,0.0041627525,0.000007336772],"about_ca_topic_score_codex":0.0034191294,"about_ca_topic_score_gemma":0.0047319,"teacher_disagreement_score":0.0067778835,"about_ca_system_score_codex":0.0005609289,"about_ca_system_score_gemma":0.002026714,"threshold_uncertainty_score":0.022674263},"labels":[],"label_agreement":null},{"id":"W4200157394","doi":"10.1145/3478513.3480532","title":"Weatherscapes","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Graupel; Environmental science; Meteorology; Snow; Precipitation; Atmosphere (unit); Numerical weather prediction; Ice crystals; Computer science; Geography","score_opus":0.03308663473215299,"score_gpt":0.2360291119100961,"score_spread":0.20294247717794311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200157394","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054148003,0.0035638027,0.060937017,0.0016011026,0.0019901658,0.00052953145,0.36842638,0.050616533,0.45818743],"genre_scores_gemma":[0.42439932,0.0040720575,0.06301009,0.00067011465,0.00047028644,0.0005053906,0.31299642,0.0103234695,0.18355288],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981385,0.000031460713,0.000013017283,0.00005584099,0.00005799001,0.000027822982],"domain_scores_gemma":[0.99976,0.00003867747,0.000017761213,0.00007065774,0.00004725567,0.00006556884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002051778,0.00055691076,0.00031062352,0.0006727685,0.00042620764,0.0013691931,0.0007525689,0.0006234822,0.108170636],"category_scores_gemma":[0.00060437835,0.00026248247,0.00059602025,0.001264626,0.00016413255,0.0011597129,0.0010049816,0.00076972524,0.024036622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011252876,0.00013840277,0.012104104,0.0012824901,0.00016818022,0.001272528,0.00067410554,0.057652306,0.011083135,0.038056493,0.6752216,0.2012213],"study_design_scores_gemma":[0.000114816525,0.000044095617,0.007917155,0.00009596409,0.000026194946,0.00023901285,0.00018192019,0.027296089,0.0027253546,0.00462862,0.95666313,0.00006768118],"about_ca_topic_score_codex":0.012765591,"about_ca_topic_score_gemma":0.019931903,"teacher_disagreement_score":0.108170636,"about_ca_system_score_codex":0.000561265,"about_ca_system_score_gemma":0.0004942578,"threshold_uncertainty_score":0.36186683},"labels":[],"label_agreement":null},{"id":"W4200370932","doi":"10.1145/3478513.3480511","title":"AdaptiBrush","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ribbon; Controller (irrigation); Computer science; Path (computing); Orientation (vector space); Trajectory; Point (geometry); Computer vision; Artificial intelligence; Geometry; Mathematics; Physics","score_opus":0.022169067831323292,"score_gpt":0.22313858780894247,"score_spread":0.20096951997761917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200370932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043331563,0.0013875081,0.5277713,0.00035836382,0.00068614027,0.00088738627,0.0051258574,0.31958258,0.10086933],"genre_scores_gemma":[0.43473497,0.0014654243,0.34033933,0.0015583012,0.00017436108,0.002146363,0.014475603,0.033581857,0.17152376],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996183,0.000021532744,0.000024327534,0.000103530605,0.00017698362,0.000055294833],"domain_scores_gemma":[0.9994728,0.00010713146,0.00003211024,0.00019380641,0.00012412663,0.00006995646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003550933,0.0010302518,0.00074222067,0.0005759268,0.0004633055,0.0013123333,0.0030929425,0.0009339209,0.064629614],"category_scores_gemma":[0.0021794518,0.000660614,0.0007932074,0.00041666208,0.00047441182,0.0016650535,0.0030159326,0.0011543483,0.020182494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018603052,0.00038901035,0.0035263745,0.0010933396,0.00012145009,0.0006224121,0.00069102144,0.017589662,0.10574454,0.012972223,0.16420703,0.69118273],"study_design_scores_gemma":[0.0003299649,0.00078533695,0.005947052,0.00020061711,0.00011916851,0.0016670929,0.0002617796,0.22958015,0.108883075,0.015822709,0.6360124,0.00039068],"about_ca_topic_score_codex":0.001822168,"about_ca_topic_score_gemma":0.002900564,"teacher_disagreement_score":0.064629614,"about_ca_system_score_codex":0.0004645326,"about_ca_system_score_gemma":0.00055525155,"threshold_uncertainty_score":0.21620762},"labels":[],"label_agreement":null},{"id":"W4200394373","doi":"10.1145/3478513.3480491","title":"Aerial path planning for online real-time exploration and offline high-quality reconstruction of large-scale urban scenes","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer vision; Artificial intelligence; Motion planning; Bounding overwatch; Scale (ratio); Minimum bounding box; 3D reconstruction; Computer graphics (images); Image (mathematics); Robot; Geography","score_opus":0.028248583096688155,"score_gpt":0.2683667926204797,"score_spread":0.24011820952379154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200394373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019858208,0.00012980698,0.9750509,0.000051653256,0.000014864338,0.00004264884,0.00012773895,0.0034571306,0.0012670035],"genre_scores_gemma":[0.31655207,0.00017961177,0.68067837,0.00003676616,0.000010818255,0.00008960154,0.00062689284,0.00043705618,0.0013887802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979335,0.000033666147,0.000006656105,0.00006035021,0.000079574806,0.000026413323],"domain_scores_gemma":[0.99966526,0.00012281875,0.000041504314,0.00009710056,0.00004872573,0.000024656994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020170049,0.00095815846,0.00040423748,0.0005982949,0.00039154486,0.00046264502,0.0006718087,0.00046931233,0.0027785536],"category_scores_gemma":[0.00073043833,0.00045845401,0.0004158623,0.0005159267,0.0005308325,0.0007658938,0.0010744474,0.00073833007,0.0007556205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020284364,0.00011571225,0.0022533431,0.00017759396,0.000066533496,0.00028839902,0.0003662593,0.544879,0.04413992,0.0078121126,0.0076086936,0.39208958],"study_design_scores_gemma":[0.00001216902,0.00003292345,0.0005368725,0.000009232337,0.000007850088,0.000107613654,0.000050752584,0.9842073,0.009062385,0.0025938144,0.0033676466,0.00001156819],"about_ca_topic_score_codex":0.0053484994,"about_ca_topic_score_gemma":0.014038532,"teacher_disagreement_score":0.0053484994,"about_ca_system_score_codex":0.00035408547,"about_ca_system_score_gemma":0.0010131559,"threshold_uncertainty_score":0.01063472},"labels":[],"label_agreement":null},{"id":"W4200400891","doi":"10.1145/3478513.3480527","title":"SuperTrack","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ubisoft (Canada)","funders":"Mitacs","keywords":"Computer science; Task (project management); Differentiable function; Sensitivity (control systems); Character (mathematics); Tracking (education); Control (management); Quality (philosophy); Tracking error; Mathematical optimization; Function (biology); Artificial intelligence; Motion (physics); Algorithm; Mathematics","score_opus":0.02091339084471841,"score_gpt":0.22584011844675317,"score_spread":0.20492672760203476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200400891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015498735,0.00020199898,0.95075506,0.00030589494,0.00042420469,0.000115049465,0.0004945887,0.0059552896,0.026249232],"genre_scores_gemma":[0.3583435,0.00039843592,0.57277715,0.000938846,0.00017766368,0.0004710805,0.0035277677,0.0027379177,0.060627583],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993788,0.000093598996,0.000023493103,0.00025901792,0.00017714771,0.0000678825],"domain_scores_gemma":[0.99883705,0.00041840225,0.00006583839,0.000412077,0.00018253869,0.00008411611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077912025,0.0006570128,0.0007982894,0.0005480936,0.0007968006,0.0011148868,0.0018723827,0.0011467874,0.03351181],"category_scores_gemma":[0.0032066752,0.00047023728,0.0006592957,0.00048074772,0.0007213861,0.0020874278,0.0028889272,0.0013636216,0.00904825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008850587,0.00029600412,0.0032000076,0.0003706048,0.00010520315,0.00044110624,0.00042276958,0.3320066,0.017193371,0.10071118,0.047526885,0.4968413],"study_design_scores_gemma":[0.00005430673,0.00013453921,0.00039997222,0.000033427234,0.00002214151,0.00017556494,0.000080110105,0.92059803,0.0068879668,0.036107354,0.03548308,0.000023415243],"about_ca_topic_score_codex":0.0024949436,"about_ca_topic_score_gemma":0.0045672,"teacher_disagreement_score":0.03351181,"about_ca_system_score_codex":0.0005308244,"about_ca_system_score_gemma":0.0010067055,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4200521614","doi":"10.1145/3478513.3480483","title":"Continuous aerial path planning for 3D urban scene reconstruction","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Motion planning; Computer vision; Trajectory; Drone; Artificial intelligence; Path (computing); Aerial image; Benchmark (surveying); 3D reconstruction; Tree (set theory); Image (mathematics); Mathematics; Robot; Geography","score_opus":0.017667000974089866,"score_gpt":0.22598414799682578,"score_spread":0.2083171470227359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200521614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00640919,0.0001639537,0.9908013,0.00004876166,0.000013541179,0.0000372497,0.0001614391,0.0012680058,0.0010966175],"genre_scores_gemma":[0.1976222,0.00036060644,0.79807633,0.000053314838,0.0000161967,0.00012366624,0.0010308444,0.00053589116,0.00218102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976367,0.00003821826,0.000008837934,0.000067313515,0.00009723559,0.000024774688],"domain_scores_gemma":[0.99971503,0.00011211073,0.000031695745,0.00006373729,0.000058925998,0.000018500166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027064528,0.0009536735,0.0005391609,0.00068503286,0.00034389683,0.00068794785,0.0008547878,0.0005563386,0.0028081897],"category_scores_gemma":[0.0010226414,0.0006059893,0.0006002174,0.0008219159,0.0005369247,0.00082270853,0.00088760996,0.0009995488,0.0008093528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008263736,0.000036073434,0.00075149484,0.00012588248,0.000044439137,0.00009619564,0.00013615363,0.84085345,0.008732159,0.009369797,0.0044867196,0.13528499],"study_design_scores_gemma":[0.00000983804,0.000019234338,0.00012640649,0.000008914794,0.000005503493,0.00005312888,0.000022191474,0.9907569,0.002756226,0.0031855602,0.0030468367,0.000009242723],"about_ca_topic_score_codex":0.00843794,"about_ca_topic_score_gemma":0.015988909,"teacher_disagreement_score":0.00843794,"about_ca_system_score_codex":0.0006522316,"about_ca_system_score_gemma":0.0012306824,"threshold_uncertainty_score":0.016777635},"labels":[],"label_agreement":null},{"id":"W4200588809","doi":"10.1145/3478513.3480548","title":"Modeling flower pigmentation patterns","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Morphogenesis; Range (aeronautics); Pattern formation; Key (lock); Biological system; Biology; Ecology","score_opus":0.07010719786851795,"score_gpt":0.2367460861950082,"score_spread":0.16663888832649026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200588809","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44894832,0.000613546,0.52544487,0.0004944502,0.00008964665,0.00007649785,0.0004362041,0.0009262347,0.022970269],"genre_scores_gemma":[0.9518061,0.00032671902,0.04236031,0.000058697922,0.000018122086,0.00006887712,0.00017585974,0.00011643134,0.005068899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999032,0.000025772468,0.000004089948,0.000023681114,0.000025496369,0.000017802155],"domain_scores_gemma":[0.9997248,0.0001378318,0.00003593017,0.000035889145,0.000041505395,0.00002409233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016340034,0.00037278357,0.00035353584,0.0003381918,0.00025943192,0.0006346097,0.00085199455,0.0009222588,0.001630156],"category_scores_gemma":[0.0010097452,0.0003108635,0.00057208457,0.00028914405,0.00044513206,0.00054426433,0.00052627386,0.0003760185,0.0002734577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015177593,0.0000131263205,0.0007692833,0.000020143432,0.000010330338,0.000048887545,0.000039161165,0.98488,0.00448608,0.006653942,0.00017500509,0.002888996],"study_design_scores_gemma":[0.0000042534402,0.0000042225697,0.000121990895,0.0000014432197,0.0000020201671,0.000015230426,0.000004692105,0.9975095,0.0005070581,0.0015007062,0.00032583845,0.0000030901053],"about_ca_topic_score_codex":0.006607476,"about_ca_topic_score_gemma":0.0037920682,"teacher_disagreement_score":0.006607476,"about_ca_system_score_codex":0.00072806084,"about_ca_system_score_gemma":0.00042748105,"threshold_uncertainty_score":0.013138056},"labels":[],"label_agreement":null},{"id":"W4205886377","doi":"10.1145/2010324.1964995","title":"Digital micrography","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Micrography; Boundary (topology); Singularity; Process (computing); Digital image; Field (mathematics); Vector field; Image processing","score_opus":0.036992035289633435,"score_gpt":0.262295609568799,"score_spread":0.22530357427916556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205886377","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006112746,0.0004502455,0.96543026,0.00021761488,0.000214293,0.0002076381,0.00050062046,0.008786075,0.018080547],"genre_scores_gemma":[0.059342492,0.00054657063,0.91861606,0.0001449528,0.00004749428,0.00017977515,0.0010362241,0.0018446898,0.018241718],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995827,0.000028557897,0.00002538084,0.000100323065,0.00022392928,0.00003918911],"domain_scores_gemma":[0.99956983,0.000099480705,0.000034888493,0.00013642445,0.0001247351,0.000034533132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035793605,0.0009644452,0.0005673073,0.0017205701,0.00071321096,0.0020879633,0.001273027,0.0007224752,0.041252423],"category_scores_gemma":[0.0011881024,0.000621745,0.0008488132,0.0009470657,0.00070894236,0.0015712185,0.0016479847,0.00094410084,0.010751465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002356622,0.00006805569,0.0011705537,0.0008082788,0.000053674892,0.0003665586,0.00038064594,0.015078389,0.10669457,0.04749728,0.04463625,0.7830101],"study_design_scores_gemma":[0.000120227836,0.00032915248,0.0021692205,0.00017762593,0.00007711801,0.002278788,0.00032524794,0.1824829,0.21505615,0.042953577,0.55389875,0.00013119767],"about_ca_topic_score_codex":0.00096445106,"about_ca_topic_score_gemma":0.0018137479,"teacher_disagreement_score":0.041252423,"about_ca_system_score_codex":0.0007355732,"about_ca_system_score_gemma":0.000641252,"threshold_uncertainty_score":0.13800317},"labels":[],"label_agreement":null},{"id":"W4205918822","doi":"10.1145/2983617","title":"Programmable 2D Arrangements for Element Texture Design","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Agence Nationale de la Recherche","keywords":"Scripting language; Computer science; Operator (biology); Set (abstract data type); Simple (philosophy); Element (criminal law); Variety (cybernetics); Range (aeronautics); Theoretical computer science; Programming language; Engineering drawing; Artificial intelligence; Engineering","score_opus":0.07051989335923896,"score_gpt":0.33994930208242435,"score_spread":0.2694294087231854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205918822","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010515697,0.000137374,0.977821,0.000059314843,0.000065648346,0.000051706025,0.00005936272,0.00088135904,0.010408605],"genre_scores_gemma":[0.15544005,0.0002629177,0.83614916,0.00008599969,0.0000304518,0.00018911804,0.00016814847,0.00056739803,0.007106714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965715,0.00006516018,0.00002032612,0.000060603932,0.00016109452,0.00003558168],"domain_scores_gemma":[0.99976057,0.00008494418,0.000024500696,0.000069828544,0.000039108712,0.000021057163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002546223,0.0005696553,0.00027964145,0.0005058846,0.0003326699,0.00092845125,0.0006691435,0.00040925172,0.0067566116],"category_scores_gemma":[0.0006432269,0.00034896488,0.00047987417,0.00033946373,0.0007120235,0.0008950219,0.0009281284,0.00067891186,0.0015888512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016885181,0.00007431957,0.0007870359,0.0005076128,0.0000310658,0.00035691034,0.00073241355,0.09325924,0.28332776,0.31226084,0.007088516,0.30140543],"study_design_scores_gemma":[0.00008597356,0.00032352092,0.0005853739,0.000099585945,0.000031423224,0.00104467,0.00021877902,0.46597037,0.17597476,0.10511745,0.2504523,0.000095914824],"about_ca_topic_score_codex":0.00021992445,"about_ca_topic_score_gemma":0.0004886134,"teacher_disagreement_score":0.0067566116,"about_ca_system_score_codex":0.00035360258,"about_ca_system_score_gemma":0.0002619582,"threshold_uncertainty_score":0.022603095},"labels":[],"label_agreement":null},{"id":"W4205985701","doi":"10.1145/1276377.1276509","title":"SIMBICON","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":331,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underactuation; Control theory (sociology); Kinematics; Robustness (evolution); Computer science; Parameterized complexity; Torque; Control engineering; Control (management); Artificial intelligence; Engineering; Algorithm; Physics","score_opus":0.0173164822121101,"score_gpt":0.23702218104448425,"score_spread":0.21970569883237415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205985701","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010303207,0.0032929361,0.24085167,0.0020382537,0.0028029624,0.0005102776,0.010634231,0.10864425,0.62092227],"genre_scores_gemma":[0.146529,0.003272101,0.16021895,0.0018761483,0.00064507587,0.00094102835,0.03063267,0.020703167,0.63518184],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993987,0.00008541431,0.000027209857,0.00015332231,0.00025966862,0.000075608965],"domain_scores_gemma":[0.9994168,0.000080472506,0.00002809001,0.00016903278,0.00017317715,0.00013238742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005902205,0.0012752583,0.0008827956,0.0012473791,0.00095915276,0.0022357565,0.0015525387,0.0012692104,0.29624453],"category_scores_gemma":[0.0014598068,0.00055685476,0.0006289608,0.0009482132,0.0005582048,0.0019250691,0.0026812241,0.0014346192,0.14974536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007933828,0.00019375583,0.0010649378,0.0006670111,0.00006152948,0.00034247834,0.0001997125,0.00856561,0.01750542,0.06592407,0.4433444,0.46133766],"study_design_scores_gemma":[0.00014716713,0.0001028143,0.00044381182,0.00008519931,0.000020357398,0.00024371504,0.000044139153,0.03216424,0.008452585,0.017934263,0.94032073,0.00004100676],"about_ca_topic_score_codex":0.0017402563,"about_ca_topic_score_gemma":0.002213361,"teacher_disagreement_score":0.29624453,"about_ca_system_score_codex":0.0007745277,"about_ca_system_score_gemma":0.0010152695,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4206921480","doi":"10.1145/3503460","title":"A Primitive for Manual Hatching","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hatching; Classification of discontinuities; Computer science; Field (mathematics); Art; Artificial intelligence; Mathematics; Visual arts; Mathematical analysis; Pure mathematics","score_opus":0.030714384484654855,"score_gpt":0.3102921815734776,"score_spread":0.27957779708882274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206921480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046859663,0.0006594796,0.91326106,0.0011831308,0.0011719771,0.00022460634,0.00050430413,0.0110950675,0.06721447],"genre_scores_gemma":[0.09395283,0.0005583401,0.84323823,0.0010805877,0.0003831179,0.00036009907,0.00075205066,0.0053668325,0.054308012],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986254,0.00018147586,0.00011048525,0.00028331275,0.00065910834,0.00014017485],"domain_scores_gemma":[0.9971866,0.00073225924,0.00014046175,0.001337672,0.00040826932,0.00019474793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095703173,0.000990004,0.0006589781,0.0008624442,0.0020863186,0.0023913612,0.002567967,0.00243044,0.04653771],"category_scores_gemma":[0.0063109966,0.00085356284,0.0012124971,0.00080400816,0.0034128716,0.004835636,0.004886173,0.0035788636,0.016700922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005382244,0.000092035625,0.00085241743,0.0006069586,0.000027586182,0.0008178479,0.0017879581,0.005190421,0.05036631,0.49264538,0.0757766,0.3712982],"study_design_scores_gemma":[0.00009062342,0.00014736185,0.000605512,0.00020585285,0.000036312773,0.0016312364,0.00021226602,0.033276778,0.023545517,0.09667382,0.8434557,0.000119027995],"about_ca_topic_score_codex":0.0014432473,"about_ca_topic_score_gemma":0.0020447867,"teacher_disagreement_score":0.04653771,"about_ca_system_score_codex":0.00059985224,"about_ca_system_score_gemma":0.0008988493,"threshold_uncertainty_score":0.15568411},"labels":[],"label_agreement":null},{"id":"W4211264908","doi":"10.1145/2010324.1964968","title":"Sparse meshless models of complex deformable solids","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Seventh Framework Programme; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Agence Nationale de la Recherche","keywords":"Subspace topology; Computer science; Deformation (meteorology); Frame (networking); Basis function; Algorithm; Mathematics; Artificial intelligence; Mathematical analysis; Physics","score_opus":0.09077640184292463,"score_gpt":0.23642102059478087,"score_spread":0.14564461875185625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211264908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076247496,0.000075870346,0.9896993,0.0000803648,0.00003399937,0.000019993377,0.00006438289,0.00029761094,0.0021036873],"genre_scores_gemma":[0.4120002,0.0004982718,0.5736428,0.00016293956,0.000080494334,0.00025406672,0.00043495902,0.00040850957,0.012517756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978834,0.00004423799,0.00000906621,0.00002345137,0.00012083509,0.000014091159],"domain_scores_gemma":[0.9997477,0.000094661955,0.000027828997,0.00006102807,0.00004579142,0.000022924714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025462086,0.00041032265,0.00061802863,0.00047425533,0.000293623,0.0009646891,0.0012221471,0.0011012717,0.0021219684],"category_scores_gemma":[0.0010595189,0.00041023354,0.00057349936,0.0004925313,0.0006611903,0.0010545735,0.0010773466,0.0008539541,0.0007001417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023213399,0.000020649124,0.00015379475,0.000035728637,0.000011099949,0.000076277014,0.00006456486,0.9059694,0.00734756,0.06373342,0.0009964678,0.02156779],"study_design_scores_gemma":[0.0000027990636,0.0000042438724,0.000015192252,0.0000017795121,0.0000011281695,0.000014255803,0.0000031758739,0.99197173,0.00046922953,0.0061556506,0.0013584088,0.0000023429443],"about_ca_topic_score_codex":0.0014801966,"about_ca_topic_score_gemma":0.0017542596,"teacher_disagreement_score":0.0021219684,"about_ca_system_score_codex":0.0003953554,"about_ca_system_score_gemma":0.00049207447,"threshold_uncertainty_score":0.007098675},"labels":[],"label_agreement":null},{"id":"W4220743987","doi":"10.1145/3508372","title":"A Large-Scale Comparison of Tetrahedral and Hexahedral Elements for Solving Elliptic PDEs with the Finite Element Method","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Advanced Micro Devices; National Science Foundation","keywords":"Hexahedron; Finite element method; Tetrahedron; Benchmark (surveying); Solver; Mesh generation; Computer science; Polygon mesh; Applied mathematics; Basis (linear algebra); Partial differential equation; Computational science; Algorithm; Mathematical optimization; Mathematics; Geometry; Mathematical analysis; Structural engineering; Engineering","score_opus":0.028128357443453322,"score_gpt":0.30409571897500487,"score_spread":0.27596736153155155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220743987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5708402,0.02124008,0.27064782,0.0026646794,0.0020011244,0.00090443663,0.03946837,0.022594875,0.06963843],"genre_scores_gemma":[0.6318319,0.0055361036,0.22331837,0.000696062,0.00025966912,0.0006901705,0.12336012,0.005399841,0.008907716],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961659,0.00058330415,0.00033570387,0.0005685039,0.0021707842,0.00017579118],"domain_scores_gemma":[0.99450994,0.0028148622,0.0001968136,0.0010966039,0.0012027,0.0001790903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028112559,0.001447941,0.0009681945,0.0029495487,0.0008393368,0.0018034213,0.0023559502,0.0018138868,0.004504162],"category_scores_gemma":[0.011679813,0.00056652597,0.001268443,0.0028693555,0.00091594015,0.002038461,0.001886937,0.0014361346,0.0029424476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014330416,0.0012036704,0.023647044,0.004725625,0.0005195711,0.0006807888,0.00066063594,0.34082285,0.018357698,0.020113865,0.16921994,0.4186153],"study_design_scores_gemma":[0.00031232243,0.0009505428,0.02878987,0.0006204678,0.00015768385,0.0013799072,0.0010650967,0.7325622,0.035337098,0.014586036,0.18406105,0.00017761246],"about_ca_topic_score_codex":0.0036963355,"about_ca_topic_score_gemma":0.0065590427,"teacher_disagreement_score":0.004504162,"about_ca_system_score_codex":0.0006429799,"about_ca_system_score_gemma":0.0009130486,"threshold_uncertainty_score":0.015067935},"labels":[],"label_agreement":null},{"id":"W4221061596","doi":"10.1145/3526213","title":"Physics-Based Combustion Simulation","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Combustion; Laminar flow; Deflagration; Soot; Ignition system; Radiative transfer; Condensation; Adiabatic process; Computer science; Mechanics; Statistical physics; Physics; Thermodynamics; Chemistry; Detonation; Explosive material","score_opus":0.018005980748571456,"score_gpt":0.2341909143893353,"score_spread":0.21618493364076383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221061596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0134665,0.00022306826,0.96139425,0.00033130267,0.0001812246,0.00017315922,0.0005948555,0.0020246354,0.021611027],"genre_scores_gemma":[0.32463342,0.0007501804,0.65349746,0.0003499002,0.000104510866,0.00071895,0.0015580504,0.0011050719,0.017282424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956554,0.00008367897,0.0000202198,0.00005690454,0.00023549305,0.00003818194],"domain_scores_gemma":[0.999566,0.00015221049,0.00002625915,0.00009271754,0.000117708914,0.000045135454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049617875,0.0006078789,0.0006317439,0.0007316345,0.0006458536,0.0016743587,0.0022146325,0.0016276155,0.012313891],"category_scores_gemma":[0.0015796308,0.00041699308,0.0010835197,0.0006706719,0.00065035804,0.0012129978,0.0016538571,0.0015531013,0.0018476722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004397764,0.000074536314,0.0007086783,0.00009537959,0.00002605892,0.0000882133,0.00010253035,0.9075496,0.007915467,0.056817755,0.004394708,0.02218308],"study_design_scores_gemma":[0.000015290136,0.000008064101,0.00008695925,0.0000064985434,0.0000026236714,0.000022557695,0.000006257114,0.9868513,0.00096067257,0.005196104,0.006835933,0.0000077419345],"about_ca_topic_score_codex":0.0064052837,"about_ca_topic_score_gemma":0.0036657106,"teacher_disagreement_score":0.012313891,"about_ca_system_score_codex":0.00096647936,"about_ca_system_score_gemma":0.0013018152,"threshold_uncertainty_score":0.04119408},"labels":[],"label_agreement":null},{"id":"W4225371802","doi":"10.1145/3528223.3530108","title":"Neural dual contouring","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Google","keywords":"Computer science; Contouring; Grid; Polygon mesh; Vertex (graph theory); Convolutional neural network; Regular grid; Marching cubes; Point cloud; Artificial neural network; Intersection (aeronautics); Artificial intelligence; Algorithm; Surface (topology); Enhanced Data Rates for GSM Evolution; Voxel; Surface reconstruction; Octree; Theoretical computer science; Mathematics; Computer graphics (images); Visualization; Geometry","score_opus":0.017993053508017356,"score_gpt":0.21560018453058863,"score_spread":0.19760713102257127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225371802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010631491,0.00025772868,0.9829102,0.00019830633,0.00010673153,0.000056638917,0.0003441868,0.002376503,0.0031181783],"genre_scores_gemma":[0.2534782,0.0004053834,0.7355427,0.0004684996,0.00009326557,0.00021804527,0.0023272885,0.0010268777,0.0064397505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992478,0.000074208714,0.000035751018,0.00022439951,0.00034047736,0.00007750373],"domain_scores_gemma":[0.9986168,0.00037822654,0.00009960552,0.0003924363,0.00043004827,0.00008281594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092932966,0.00081303256,0.0010674293,0.0014399567,0.0004631829,0.0020922478,0.003557306,0.00178135,0.006301175],"category_scores_gemma":[0.0056817457,0.00068111724,0.0011112939,0.0014408984,0.0011761294,0.002252727,0.0024503341,0.0022796039,0.0021133278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019903432,0.00009093618,0.0016032157,0.00016720683,0.000055884237,0.00010788449,0.00013901595,0.4325311,0.010137154,0.03073755,0.009329073,0.514902],"study_design_scores_gemma":[0.000007003302,0.000011220398,0.000063282925,0.000009071662,0.000003813029,0.000027836297,0.0000071752015,0.9893629,0.0019707675,0.006480212,0.0020504373,0.0000062419476],"about_ca_topic_score_codex":0.0041318918,"about_ca_topic_score_gemma":0.004082044,"teacher_disagreement_score":0.006301175,"about_ca_system_score_codex":0.0011127753,"about_ca_system_score_gemma":0.00095356395,"threshold_uncertainty_score":0.02107948},"labels":[],"label_agreement":null},{"id":"W4229044820","doi":"10.1145/3528223.3530110","title":"ASE","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":197,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Reinforcement learning; Task (project management); Human–computer interaction; Artificial intelligence; Animation; Set (abstract data type); Character animation; Embedding; Representation (politics); Motion (physics); Computer animation","score_opus":0.018119290005539527,"score_gpt":0.2172404485475903,"score_spread":0.19912115854205079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229044820","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053491686,0.0015604268,0.05047997,0.0022686922,0.0028820226,0.0004083293,0.016008314,0.024507854,0.89653516],"genre_scores_gemma":[0.065228865,0.0021943473,0.0272507,0.0021967678,0.0007526531,0.00045058416,0.03496939,0.005587365,0.8613693],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906343,0.000114272356,0.00006183443,0.00028256368,0.0003366813,0.00014119071],"domain_scores_gemma":[0.9986621,0.00016687269,0.00007327509,0.0004595672,0.00042153237,0.00021668313],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078223844,0.0015166209,0.0008955807,0.0016328729,0.0014522515,0.004243912,0.0022271518,0.0024298737,0.6068463],"category_scores_gemma":[0.003040294,0.00057035894,0.00097160996,0.0012003599,0.00058251596,0.0029755558,0.004030831,0.0017555878,0.48612702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049584405,0.0002255145,0.0020751895,0.0006407985,0.000046814333,0.00064766663,0.00027763768,0.002375062,0.007062915,0.046008367,0.56801206,0.37213215],"study_design_scores_gemma":[0.000033009303,0.000045269826,0.0005647787,0.00009185435,0.000011858579,0.00037504797,0.00006563614,0.0029110187,0.001889434,0.0068163984,0.9871748,0.000020811482],"about_ca_topic_score_codex":0.0031174198,"about_ca_topic_score_gemma":0.0029995434,"teacher_disagreement_score":0.39315373,"about_ca_system_score_codex":0.0008843325,"about_ca_system_score_gemma":0.0013705656,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4230327142","doi":"10.1145/2990495","title":"Antialiasing Complex Global Illumination Effects in Path-Space","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"National Science Foundation","keywords":"Path (computing); Computer science; Global illumination; Radiance; Context (archaeology); Filter (signal processing); Computer vision; Fourier transform; Algorithm; Space (punctuation); Artificial intelligence; Topology (electrical circuits); Mathematics; Optics; Physics; Geology; Mathematical analysis","score_opus":0.026837618802682154,"score_gpt":0.30686319713513616,"score_spread":0.280025578332454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230327142","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013755048,0.000040411116,0.9843828,0.000026249412,0.000016902102,0.000012216672,0.000023332888,0.00079899636,0.00094402273],"genre_scores_gemma":[0.30877295,0.00025287416,0.68461895,0.00007998754,0.00003649796,0.000055925047,0.00019069258,0.0011667041,0.0048254193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984086,0.000020757969,0.0000037679326,0.000026511085,0.000086925174,0.000021095217],"domain_scores_gemma":[0.99955505,0.00016110066,0.000058168338,0.000110248606,0.000092263945,0.00002315993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002861728,0.00078887906,0.0003706918,0.0004226632,0.0002349189,0.00094233174,0.0006632275,0.0004507255,0.0026873425],"category_scores_gemma":[0.0013213985,0.00032451164,0.00057618297,0.00029205202,0.0005002565,0.0010623306,0.00075553986,0.0010630307,0.0008340839],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016595708,0.00009566874,0.0021911091,0.00016025596,0.00006516381,0.00021215588,0.00039301658,0.48090142,0.14392334,0.05282724,0.004025426,0.31503916],"study_design_scores_gemma":[0.0000068749055,0.000028036522,0.00042814057,0.000008096687,0.000010828522,0.00012137952,0.0000248225,0.96289814,0.024303712,0.007829559,0.004324867,0.00001558748],"about_ca_topic_score_codex":0.0021759558,"about_ca_topic_score_gemma":0.0034972846,"teacher_disagreement_score":0.0026873425,"about_ca_system_score_codex":0.0004481816,"about_ca_system_score_gemma":0.00064643024,"threshold_uncertainty_score":0.008990049},"labels":[],"label_agreement":null},{"id":"W4230618271","doi":"10.1145/3262713","title":"Session details: Meshes I","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Archaeology and Historical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Session (web analytics); Computer science; Computer graphics (images); Computational science; World Wide Web","score_opus":0.04416455061332708,"score_gpt":0.25005902985685985,"score_spread":0.20589447924353277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230618271","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00093822106,0.0015295006,0.008137189,0.0064607486,0.023531696,0.00087464333,0.03133681,0.015405737,0.9117854],"genre_scores_gemma":[0.0071787564,0.0010186711,0.0026189936,0.0011661198,0.0028561193,0.0003795127,0.015204988,0.0044580544,0.9651188],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938035,0.00009618032,0.000031253512,0.00016967747,0.00019637184,0.00012622945],"domain_scores_gemma":[0.9976775,0.0004355469,0.000050358678,0.000527947,0.00043333037,0.00087527704],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010821332,0.0013115336,0.0019094605,0.001002981,0.0022832637,0.0057073766,0.0018750171,0.003497567,0.9449425],"category_scores_gemma":[0.004865681,0.00054205913,0.0013834119,0.001483731,0.0003504832,0.0031028634,0.0034786523,0.0023662974,0.874508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013222249,0.0000309972,0.000041743446,0.00009338525,0.000004829934,0.000017096025,0.00001591244,0.000050519207,0.00042711585,0.0008583246,0.9721095,0.026218472],"study_design_scores_gemma":[0.000050308536,0.00003990355,0.00021191574,0.00005223503,0.000006052805,0.000024858828,0.000028259257,0.00019674042,0.00025987177,0.0008491882,0.9982728,0.000007994415],"about_ca_topic_score_codex":0.0012796329,"about_ca_topic_score_gemma":0.0028923065,"teacher_disagreement_score":0.055057526,"about_ca_system_score_codex":0.00078504323,"about_ca_system_score_gemma":0.00086820393,"threshold_uncertainty_score":0.078532815},"labels":[],"label_agreement":null},{"id":"W4230927393","doi":"10.1145/2070781.2024192","title":"Displacement interpolation using Lagrangian mass transport","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"European Research Council","keywords":"Interpolation (computer graphics); Bilinear interpolation; Linear interpolation; Trilinear interpolation; Nearest-neighbor interpolation; Radial basis function; Mathematics; Stairstep interpolation; Displacement (psychology); Multivariate interpolation; Algorithm; Applied mathematics; Computer science; Mathematical optimization; Mathematical analysis; Artificial intelligence; Motion (physics); Computer vision","score_opus":0.05520603328939198,"score_gpt":0.2927343645267457,"score_spread":0.23752833123735376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230927393","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072913445,0.00007562232,0.9902097,0.00007592525,0.00003335215,0.000025728636,0.000029841869,0.00025775336,0.0020007887],"genre_scores_gemma":[0.36926016,0.00022917405,0.6219183,0.000089385656,0.00004965377,0.00013542938,0.00020002609,0.00042519346,0.0076925913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996929,0.000067141154,0.000018186773,0.00005393761,0.00013189843,0.000035812376],"domain_scores_gemma":[0.99954826,0.00018141816,0.000048514306,0.00008630237,0.00010315594,0.000032285243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009739877,0.00063241133,0.0007235494,0.0010454317,0.00053258706,0.0009950171,0.0010133885,0.0012401799,0.0031084807],"category_scores_gemma":[0.0024724137,0.00043971214,0.0008756784,0.00080584973,0.0008258857,0.001311172,0.0014630612,0.0010798959,0.0008116544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016325637,0.00006263291,0.001056052,0.00015189545,0.000031907377,0.00018276296,0.00017807286,0.7426051,0.017027017,0.12581278,0.0024119087,0.11031669],"study_design_scores_gemma":[0.0000064135215,0.000013277497,0.000051417574,0.000005698291,0.0000026066814,0.000022967617,0.000007730756,0.9896265,0.0017181931,0.0070628547,0.0014761359,0.000006133977],"about_ca_topic_score_codex":0.0031966663,"about_ca_topic_score_gemma":0.0023619325,"teacher_disagreement_score":0.0031966663,"about_ca_system_score_codex":0.0011452772,"about_ca_system_score_gemma":0.0009766016,"threshold_uncertainty_score":0.010398865},"labels":[],"label_agreement":null},{"id":"W4231612468","doi":"10.1145/3476576.3476603","title":"Swept volumes via spacetime numerical continuation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Autodesk; Adobe Systems","keywords":"Spacetime; Representation (politics); Lift (data mining); Continuation; Computer science; Algorithm; Moment (physics); Trajectory; Constructive; Set (abstract data type); Mathematics; Mathematical optimization; Geometry; Classical mechanics","score_opus":0.01847809548784556,"score_gpt":0.27707845259036207,"score_spread":0.2586003571025165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231612468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010490293,0.000103505794,0.9862692,0.00008304568,0.000031467243,0.000029543236,0.0000433206,0.00045460666,0.002495057],"genre_scores_gemma":[0.2917041,0.00028580814,0.7031538,0.000083666404,0.000045461962,0.00018506419,0.00021075716,0.00057241874,0.003758945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953353,0.00011541504,0.000023061597,0.00005790827,0.00023284792,0.00003721316],"domain_scores_gemma":[0.99904996,0.00045572742,0.000110331486,0.00017767795,0.00013926659,0.00006709938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010828128,0.00083199306,0.0007686602,0.0013764014,0.0005456505,0.0016189712,0.0014331746,0.0014289961,0.0024577477],"category_scores_gemma":[0.004783151,0.00050310127,0.0010857825,0.0007284307,0.0017809863,0.0014765237,0.002989186,0.0016714798,0.0007913739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008815961,0.000031910604,0.00067694805,0.000107798485,0.000034396882,0.000249912,0.00029055311,0.79047346,0.008688973,0.15591374,0.0010253257,0.042418815],"study_design_scores_gemma":[0.000008064686,0.0000130640265,0.000038011254,0.00001596933,0.000002859061,0.000035400117,0.0000150411925,0.96932316,0.0011594071,0.027546866,0.0018331745,0.0000089724135],"about_ca_topic_score_codex":0.002592699,"about_ca_topic_score_gemma":0.0021459083,"teacher_disagreement_score":0.002592699,"about_ca_system_score_codex":0.001158792,"about_ca_system_score_gemma":0.0012478348,"threshold_uncertainty_score":0.008407652},"labels":[],"label_agreement":null},{"id":"W4231877810","doi":"10.1145/1882261.1866183","title":"Animation wrinkling","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wrinkle; Computer science; Animation; Computer graphics (images); Computer facial animation; Process (computing); Computer animation; Computer vision; Artificial intelligence","score_opus":0.012668921814907134,"score_gpt":0.22323838724758752,"score_spread":0.21056946543268037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231877810","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03553601,0.00030125334,0.9076237,0.00023609704,0.0005001744,0.00031981056,0.00068558176,0.016723737,0.038073726],"genre_scores_gemma":[0.4343376,0.00077767525,0.50579625,0.00023371645,0.00011901847,0.00038325184,0.002018589,0.0070394296,0.04929446],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976116,0.000033507476,0.000013815772,0.00005780569,0.00010466,0.00002901775],"domain_scores_gemma":[0.99958736,0.000131156,0.000021884238,0.00016391954,0.000055202443,0.000040457286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035372394,0.00095614727,0.00044867836,0.00068125746,0.0005195571,0.0009344759,0.0009212462,0.0007324873,0.029337244],"category_scores_gemma":[0.0013656411,0.0003893616,0.00076237344,0.00028583198,0.0004332367,0.00095681887,0.001583851,0.00090237655,0.0033753403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004763358,0.00018648685,0.0014471177,0.0008688409,0.000082787294,0.0007572068,0.0010806529,0.1410929,0.2886443,0.037640966,0.027870957,0.49985144],"study_design_scores_gemma":[0.000112876594,0.00029288183,0.0021321967,0.00011913053,0.000064462765,0.000953401,0.00019577943,0.62487096,0.1374502,0.018026276,0.21567361,0.00010821437],"about_ca_topic_score_codex":0.0006574453,"about_ca_topic_score_gemma":0.0011327362,"teacher_disagreement_score":0.029337244,"about_ca_system_score_codex":0.00026355978,"about_ca_system_score_gemma":0.00029554995,"threshold_uncertainty_score":0.09814292},"labels":[],"label_agreement":null},{"id":"W4231892975","doi":"10.1145/2070781.2024220","title":"Polarization fields","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Information and Intelligent Systems; Defense Advanced Research Projects Agency","keywords":"Polarizer; Liquid-crystal display; Monochromatic color; Polarization (electrochemistry); Color gel; Optics; Attenuation; Brightness; Computer science; Light field; Polarizing filter; Display device; Color filter array; Spatial light modulator; Linear polarization; Materials science; Optical filter; Optoelectronics; Computer vision; Layer (electronics); Physics","score_opus":0.028528594075416174,"score_gpt":0.23037900448001736,"score_spread":0.2018504104046012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231892975","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035077002,0.0015326224,0.66994226,0.0017894289,0.0021592004,0.00026975322,0.0010453176,0.0033861382,0.2847982],"genre_scores_gemma":[0.51450545,0.0033345034,0.3438961,0.0019364073,0.0008222501,0.0005463607,0.0014260188,0.0011335636,0.13239934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997117,0.000027010583,0.000012603301,0.00007104027,0.00013193322,0.00004562265],"domain_scores_gemma":[0.9997212,0.00003197965,0.0000325588,0.00007018397,0.000111297224,0.0000327329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173999,0.0006197492,0.00029416574,0.00041942493,0.0007099004,0.0016142082,0.00058981363,0.00058418565,0.026017526],"category_scores_gemma":[0.0005457121,0.00032724938,0.00030671086,0.00045717903,0.000461528,0.0012844672,0.0012399589,0.0011497835,0.0065725977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002598181,0.00015005171,0.0018329426,0.00034067052,0.000028771323,0.0004549535,0.0002816897,0.00946378,0.25172055,0.41667506,0.03062377,0.28816792],"study_design_scores_gemma":[0.00010441874,0.0003676977,0.0013036263,0.00014678432,0.000042614953,0.0017384975,0.00017831507,0.06094814,0.24617867,0.07284109,0.6160419,0.00010829165],"about_ca_topic_score_codex":0.00030030214,"about_ca_topic_score_gemma":0.00034684615,"teacher_disagreement_score":0.026017526,"about_ca_system_score_codex":0.00038987768,"about_ca_system_score_gemma":0.00046350315,"threshold_uncertainty_score":0.087037265},"labels":[],"label_agreement":null},{"id":"W4232154981","doi":"10.1145/1239451.1239490","title":"Ldr2Hdr","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer graphics (images); High dynamic range; Multimedia; Dynamic range; Computer vision; Artificial intelligence","score_opus":0.01540883280576609,"score_gpt":0.2524845077647274,"score_spread":0.2370756749589613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232154981","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033002585,0.0030258764,0.15165024,0.0021817174,0.0028271808,0.0003610929,0.008826906,0.057503577,0.74062085],"genre_scores_gemma":[0.25643352,0.0013837736,0.07600166,0.0034828396,0.0006767364,0.00041635704,0.015969997,0.0054409695,0.6401942],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992974,0.00006810703,0.000026352529,0.00017025029,0.0003215095,0.00011645658],"domain_scores_gemma":[0.99946195,0.00004519515,0.000029734716,0.00020606254,0.00019234195,0.00006473153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058514526,0.00059280853,0.0005925981,0.00097626157,0.0011196795,0.0018163198,0.0012435515,0.0012430571,0.18827124],"category_scores_gemma":[0.000787908,0.0003225887,0.00031101174,0.0007413893,0.00042123065,0.0013734631,0.0015922087,0.0011671754,0.12795383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086205057,0.00021159615,0.0013073087,0.00056990073,0.000051938154,0.00048392778,0.00022398916,0.001401268,0.16239224,0.05767762,0.4467122,0.328106],"study_design_scores_gemma":[0.000072075025,0.00011455489,0.00059608335,0.000041197894,0.00002383067,0.0006002035,0.00006187309,0.0053990483,0.08894273,0.002774297,0.901305,0.00006903549],"about_ca_topic_score_codex":0.0010371355,"about_ca_topic_score_gemma":0.0015123002,"teacher_disagreement_score":0.18827124,"about_ca_system_score_codex":0.0008459198,"about_ca_system_score_gemma":0.0005877371,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4232243694","doi":"10.1145/2185520.2335412","title":"Ghost SPH for animating water","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smoothed-particle hydrodynamics; Extrapolation; Spurious relationship; Surface tension; Mechanics; Viscosity; Particle (ecology); Computer science; Boundary (topology); Physics; Statistical physics; Classical mechanics; Mathematics; Mathematical analysis; Geology","score_opus":0.01837501779128532,"score_gpt":0.24878619996375084,"score_spread":0.23041118217246553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232243694","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076953755,0.00032292164,0.9785342,0.00034423938,0.00028793124,0.00005682808,0.0001892794,0.003615144,0.008953969],"genre_scores_gemma":[0.25698,0.0006566347,0.7258902,0.00045052698,0.0002062712,0.0002809928,0.0005156681,0.0018904066,0.013129371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997367,0.000048626713,0.000011632987,0.000034117955,0.00014684627,0.00002200163],"domain_scores_gemma":[0.9995235,0.00019552704,0.00003453427,0.00009797833,0.00008369389,0.00006484303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047839255,0.0004941982,0.00058422907,0.00066711486,0.00069280504,0.0010851506,0.0013790191,0.0012328235,0.006743284],"category_scores_gemma":[0.0021707232,0.0004710637,0.0006233966,0.0005139886,0.0009203031,0.0014532614,0.0024393143,0.0014893487,0.0014380243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027491187,0.0000766271,0.0015182568,0.00030656176,0.00008127903,0.0005465873,0.00051420456,0.5923386,0.03495281,0.18877739,0.020344572,0.16026814],"study_design_scores_gemma":[0.00002999807,0.000012643127,0.000067796034,0.000012899192,0.000006127393,0.000052040396,0.000012962714,0.9668531,0.0032503635,0.01724076,0.012446704,0.000014649369],"about_ca_topic_score_codex":0.0024946835,"about_ca_topic_score_gemma":0.0020212047,"teacher_disagreement_score":0.006743284,"about_ca_system_score_codex":0.00071280356,"about_ca_system_score_gemma":0.0008698956,"threshold_uncertainty_score":0.02255851},"labels":[],"label_agreement":null},{"id":"W4232493659","doi":"10.1145/3476576.3476691","title":"Interactive modelling of volumetric musculoskeletal anatomy","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Autodesk; Connaught Fund; Adobe Systems","keywords":"Computer science; Polygon mesh; Segmentation; Representation (politics); Anatomy; Rendering (computer graphics); Computer graphics (images); Computer vision; Biology","score_opus":0.01915081884411307,"score_gpt":0.2471927982074706,"score_spread":0.22804197936335752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232493659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003045864,0.00008137845,0.9926817,0.00006154748,0.00002378508,0.00002799127,0.000073158684,0.0012240954,0.0027806014],"genre_scores_gemma":[0.17286779,0.00070987584,0.81410074,0.00015670052,0.00008528577,0.00026727616,0.00055166474,0.001467464,0.009793287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939334,0.0000883074,0.000030175448,0.00007279995,0.0003757113,0.00003963606],"domain_scores_gemma":[0.9994332,0.0002512797,0.00006333654,0.00010961769,0.00009596268,0.000046538982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053769315,0.00091897516,0.00054145214,0.0011476508,0.00035510046,0.0015565605,0.0018641851,0.0010666985,0.0062548486],"category_scores_gemma":[0.0019771287,0.0008311151,0.0013110096,0.00059557246,0.00096497545,0.0011470873,0.0028126785,0.0010870063,0.0016092192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016120175,0.00008100842,0.0015125037,0.00047494104,0.00011652625,0.0010834486,0.0011415817,0.5915918,0.11167337,0.07319597,0.008324897,0.21064281],"study_design_scores_gemma":[0.00003162374,0.00008066437,0.00048118804,0.00009201755,0.000041759224,0.001347034,0.00006936237,0.9034216,0.02239877,0.023294624,0.048683695,0.000057660487],"about_ca_topic_score_codex":0.0012335142,"about_ca_topic_score_gemma":0.0020392837,"teacher_disagreement_score":0.0062548486,"about_ca_system_score_codex":0.00040908536,"about_ca_system_score_gemma":0.0007787198,"threshold_uncertainty_score":0.020924568},"labels":[],"label_agreement":null},{"id":"W4232757299","doi":"10.1145/2010324.1964928","title":"Exploration of continuous variability in collections of 3D shapes","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Division of Information and Intelligent Systems; Division of Computing and Communication Foundations; National Institutes of Health; National Science Foundation","keywords":"Computer science; Invariant (physics); Set (abstract data type); Point (geometry); Artificial intelligence; Shape analysis (program analysis); Range (aeronautics); Geometric shape; Selection (genetic algorithm); Geometry; Mathematics","score_opus":0.03916235859007659,"score_gpt":0.22805135569351243,"score_spread":0.18888899710343582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232757299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5496062,0.00064501574,0.43954584,0.00029008326,0.000027296697,0.0002128219,0.0013681573,0.0050978563,0.00320674],"genre_scores_gemma":[0.73907286,0.0004405526,0.25459534,0.00008032051,0.000030067842,0.0002460268,0.0034991824,0.0007092226,0.0013263714],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978296,0.0005303666,0.00012550247,0.00046302058,0.00092272257,0.00012879357],"domain_scores_gemma":[0.9904344,0.0056307074,0.00075947883,0.002291899,0.0005777821,0.0003055679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020383145,0.0008704869,0.0015118343,0.0040023667,0.0011311662,0.0022162916,0.0015576257,0.0012120652,0.0013555088],"category_scores_gemma":[0.009540749,0.00090444204,0.0018580668,0.0047213687,0.0013849477,0.0034497217,0.005260852,0.001169547,0.0005106326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001346992,0.00081532786,0.05499692,0.0013807496,0.0007693334,0.002755676,0.011001005,0.24233966,0.091131985,0.011792508,0.009834702,0.57183516],"study_design_scores_gemma":[0.00009717655,0.00050931197,0.037467733,0.00011125335,0.00015788648,0.0031009342,0.004268262,0.86395854,0.044603676,0.030297663,0.015159162,0.0002684254],"about_ca_topic_score_codex":0.0020242415,"about_ca_topic_score_gemma":0.0050631943,"teacher_disagreement_score":0.0040023667,"about_ca_system_score_codex":0.0006548077,"about_ca_system_score_gemma":0.0007922922,"threshold_uncertainty_score":0.010779798},"labels":[],"label_agreement":null},{"id":"W4232878704","doi":"10.1145/3264148","title":"Session details: Fluid simulation","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Computer graphics (images); Fluid simulation; World Wide Web; Mechanics","score_opus":0.028474293921828243,"score_gpt":0.27993884682064474,"score_spread":0.2514645528988165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232878704","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003283534,0.0039638476,0.020764254,0.010586088,0.03168689,0.0015199408,0.063409254,0.017338714,0.84744745],"genre_scores_gemma":[0.021580735,0.0030222202,0.0062866835,0.0010701875,0.0034939547,0.00062282756,0.024372788,0.0037507366,0.93579984],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960893,0.000058551224,0.000014259978,0.000092431765,0.00014132843,0.000084493106],"domain_scores_gemma":[0.9988495,0.00016552117,0.00001675051,0.00023541503,0.0002659859,0.00046671025],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011305371,0.0012139938,0.0020786882,0.000793765,0.0016709961,0.0037070822,0.0016180004,0.0026591606,0.8366837],"category_scores_gemma":[0.0020560161,0.00036910636,0.0013140617,0.0011338114,0.00028000455,0.0016354923,0.0025895773,0.0023928825,0.6502881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032999585,0.00012656386,0.00010569201,0.00017158205,0.000019971128,0.000028692923,0.00001892999,0.00042598796,0.0017448257,0.0015687866,0.9656078,0.029851254],"study_design_scores_gemma":[0.00024632213,0.00016667912,0.00056574505,0.00007693567,0.000025951467,0.00004540694,0.000022904274,0.0025843503,0.0015505682,0.0022055013,0.99248296,0.000026619438],"about_ca_topic_score_codex":0.0016527105,"about_ca_topic_score_gemma":0.0032356062,"teacher_disagreement_score":0.8366837,"about_ca_system_score_codex":0.00069524633,"about_ca_system_score_gemma":0.0012689794,"threshold_uncertainty_score":0.23295093},"labels":[],"label_agreement":null},{"id":"W4233128224","doi":"10.1145/1239451.1239529","title":"Sampling with polyominoes","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Polyomino; Sampling (signal processing); Rendering (computer graphics); Mathematics; Thresholding; Subdivision; Computer science; Algorithm; Combinatorics; Computer graphics (images); Computer vision; Geometry; Image (mathematics)","score_opus":0.04044670214134317,"score_gpt":0.30411884862235794,"score_spread":0.2636721464810148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233128224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048725395,0.000076875906,0.9941493,0.00001631952,0.000021692822,0.000020168109,0.000014388967,0.00018787336,0.00064083724],"genre_scores_gemma":[0.14003874,0.00016502409,0.85673416,0.000060035512,0.000058915433,0.00013338172,0.00014140276,0.00018156787,0.002486772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992987,0.00015839624,0.000038933562,0.00011746966,0.00032936383,0.00005709894],"domain_scores_gemma":[0.9991725,0.00032364076,0.0000688866,0.00022044635,0.00015447746,0.000060089744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006741047,0.0004905905,0.00074803084,0.00086501037,0.00045495734,0.0006919931,0.0010258718,0.0005449044,0.0023848393],"category_scores_gemma":[0.0029040303,0.00041945174,0.00067286566,0.00074017333,0.00072672544,0.0009852641,0.0011847398,0.000902878,0.0006339137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041617593,0.000101849735,0.0018622412,0.00033448823,0.00007683638,0.00026133328,0.0003501591,0.37946624,0.054314177,0.091533445,0.0035544138,0.46772873],"study_design_scores_gemma":[0.00002147672,0.000048706876,0.00030130212,0.000009010605,0.000009674567,0.000088411754,0.00001026037,0.9752034,0.007140549,0.012609133,0.0045431466,0.000014909952],"about_ca_topic_score_codex":0.0020433557,"about_ca_topic_score_gemma":0.003442364,"teacher_disagreement_score":0.0023848393,"about_ca_system_score_codex":0.00051341054,"about_ca_system_score_gemma":0.0005704799,"threshold_uncertainty_score":0.007978082},"labels":[],"label_agreement":null},{"id":"W4233632032","doi":"10.1145/1239451.1239456","title":"Active learning for real-time motion controllers","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Motion (physics); Motion capture; Motion controller; Scratch; Controller (irrigation); Kinematics; CLIPS; Artificial intelligence; Computer vision; Session (web analytics); On the fly; Motion control; Robot","score_opus":0.014247351918731872,"score_gpt":0.24105110263243532,"score_spread":0.22680375071370346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233632032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029588495,0.00017259193,0.9953094,0.000060394927,0.000024936631,0.000015370459,0.000012192381,0.00037086,0.0010752954],"genre_scores_gemma":[0.68333495,0.00049613847,0.30520207,0.00021235865,0.00014141307,0.00034249737,0.00014673058,0.00021121166,0.009912569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993369,0.00017135509,0.00003676179,0.00016145258,0.00022587896,0.00006755778],"domain_scores_gemma":[0.99791616,0.0014420834,0.00013248902,0.00018338159,0.00026489806,0.000060979743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013695968,0.00082377414,0.00067472685,0.0004132194,0.0003565963,0.0010448263,0.0015686398,0.0010463449,0.004284207],"category_scores_gemma":[0.0042256443,0.00042541797,0.0004251962,0.00036801503,0.0010885539,0.0014233523,0.0009816305,0.002153627,0.0006498171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022118945,0.0001263368,0.00033455293,0.0001527511,0.00004847344,0.00007309436,0.00015139712,0.7394231,0.008709424,0.050959487,0.0016036517,0.19819653],"study_design_scores_gemma":[0.0000108083095,0.000028389903,0.00003456957,0.0000050326043,0.0000033175095,0.000007690055,0.0000043138452,0.9904356,0.0012572774,0.0071317474,0.0010772222,0.000004085084],"about_ca_topic_score_codex":0.002260058,"about_ca_topic_score_gemma":0.002518762,"teacher_disagreement_score":0.004284207,"about_ca_system_score_codex":0.0007843752,"about_ca_system_score_gemma":0.0006289971,"threshold_uncertainty_score":0.014332116},"labels":[],"label_agreement":null},{"id":"W4234257842","doi":"10.1145/2070781.2024198","title":"Compression and direct manipulation of complex blendshape models","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Animation; Block (permutation group theory); Representation (politics); Matrix (chemical analysis); Data compression; Computer graphics (images); Algorithm; Artificial intelligence; Computer engineering; Computer vision","score_opus":0.121833533820476,"score_gpt":0.2967768399216303,"score_spread":0.17494330610115427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234257842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09584562,0.00033808532,0.8949439,0.00016128556,0.00011359701,0.00009760043,0.0001940835,0.0014732301,0.006832632],"genre_scores_gemma":[0.46550578,0.00059981644,0.52418983,0.00008119281,0.00006401324,0.00015552009,0.0005002846,0.00055713963,0.008346446],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982435,0.00001289704,0.000009822326,0.00002671898,0.00011186068,0.000014428442],"domain_scores_gemma":[0.99974614,0.00007793161,0.000022520653,0.000101422556,0.000037780155,0.000014138107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001412297,0.0004340213,0.00031991376,0.0004806045,0.00020974726,0.0004930997,0.00046663135,0.0002546274,0.004242689],"category_scores_gemma":[0.0008319792,0.000249014,0.00030687556,0.0005316115,0.00036657485,0.00071760704,0.0009144311,0.00050916837,0.000594869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002423786,0.00008136998,0.00052074087,0.00021795691,0.000031460684,0.00046997998,0.00042676562,0.08352781,0.49369124,0.027119152,0.0041329535,0.38953823],"study_design_scores_gemma":[0.00005104303,0.00017221669,0.0007732111,0.000023183162,0.000018633347,0.00077337114,0.000072862604,0.70090276,0.26633796,0.007504168,0.023332804,0.000037811908],"about_ca_topic_score_codex":0.0006373036,"about_ca_topic_score_gemma":0.00074196886,"teacher_disagreement_score":0.004242689,"about_ca_system_score_codex":0.00018715623,"about_ca_system_score_gemma":0.00023700036,"threshold_uncertainty_score":0.014193177},"labels":[],"label_agreement":null},{"id":"W4234334820","doi":"10.1145/1833351.1778810","title":"Optimizing walking controllers for uncertain inputs and environments","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Computer science; Control theory (sociology); Monte Carlo method; Torque; Robust control; Mathematical optimization; Control (management); Mathematics; Control system; Artificial intelligence; Engineering; Statistics","score_opus":0.028399024681496812,"score_gpt":0.33308838868426616,"score_spread":0.30468936400276936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234334820","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013094575,0.00008597306,0.985829,0.000056623263,0.000010116658,0.000019101415,0.000019074781,0.00017305843,0.00071252417],"genre_scores_gemma":[0.7317742,0.00019836402,0.26556575,0.00007989859,0.000039437866,0.00022223216,0.00011956306,0.00021472007,0.0017858025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945205,0.00012514314,0.000032787473,0.00012741292,0.00019772377,0.000064879954],"domain_scores_gemma":[0.99859935,0.00087556214,0.00019190747,0.00010244449,0.0001864391,0.0000443269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011176841,0.0012054174,0.000970809,0.00065502396,0.00038403884,0.00083783007,0.0010079775,0.0009595522,0.0011827586],"category_scores_gemma":[0.004412285,0.00065581163,0.00058130437,0.00043056594,0.0007802448,0.0010210255,0.0010821951,0.00076399674,0.00019051593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011043269,0.000010561777,0.00013300827,0.000015505972,0.000012710797,0.000013881341,0.00001669409,0.9866425,0.0007346844,0.0018369125,0.00009596265,0.010476474],"study_design_scores_gemma":[0.0000037162756,0.000010434119,0.00004278523,0.0000021495603,0.0000025707443,0.000003408217,0.0000022340128,0.99759394,0.0002588136,0.0019933197,0.00008424087,0.0000023948082],"about_ca_topic_score_codex":0.0038666697,"about_ca_topic_score_gemma":0.0032063397,"teacher_disagreement_score":0.0038666697,"about_ca_system_score_codex":0.0006154402,"about_ca_system_score_gemma":0.0008050377,"threshold_uncertainty_score":0.0076883435},"labels":[],"label_agreement":null},{"id":"W4235687060","doi":"10.1145/2185520.2335403","title":"Stochastic tomography and its applications in 3D imaging of mixing fluids","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tomography; Mixing (physics); Computer science; Tomographic reconstruction; Regular polygon; Grid; Computed tomography; Algorithm; Iterative reconstruction; Mathematical optimization; Computer vision; Mathematics; Geometry; Optics; Physics","score_opus":0.009605832493074578,"score_gpt":0.23339802023465214,"score_spread":0.22379218774157755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235687060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041884687,0.00049403554,0.99325424,0.0003622219,0.000023345412,0.0000148340105,0.00003204519,0.00027785683,0.0013528528],"genre_scores_gemma":[0.21160607,0.002403751,0.7837233,0.0002166064,0.00011655111,0.000082765895,0.00012761241,0.00019100521,0.0015324482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996836,0.00010175986,0.000012452187,0.00003974968,0.0001445079,0.000017960569],"domain_scores_gemma":[0.9993368,0.00039743018,0.000077045166,0.00007776445,0.00006759657,0.000043369662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054684636,0.00054706563,0.0003785982,0.0007819728,0.00035656488,0.0009410367,0.0005296342,0.0008631122,0.0018954616],"category_scores_gemma":[0.0020355936,0.0004574969,0.00058585394,0.0009202983,0.0009320044,0.00067139714,0.0012935441,0.00087830896,0.0003194514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015793063,0.00005312045,0.0017358185,0.00032537937,0.000071001785,0.000712225,0.000310965,0.45818472,0.106724866,0.1898986,0.003562312,0.23826309],"study_design_scores_gemma":[0.000014179001,0.00003457081,0.00037824968,0.000020719663,0.0000133314525,0.00069766265,0.000024088169,0.93382084,0.01826296,0.03771392,0.008988512,0.000030881187],"about_ca_topic_score_codex":0.0010611664,"about_ca_topic_score_gemma":0.0012464931,"teacher_disagreement_score":0.0018954616,"about_ca_system_score_codex":0.0003957766,"about_ca_system_score_gemma":0.00050510303,"threshold_uncertainty_score":0.006340921},"labels":[],"label_agreement":null},{"id":"W4236565392","doi":"10.1145/2070781.2024196","title":"Artist friendly facial animation retargeting","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Retargeting; Computer science; Animation; Computer facial animation; Key frame; Computer graphics (images); Workflow; Key (lock); Facial motion capture; Artificial intelligence; Computer animation; Computer vision; Character animation; Process (computing); Set (abstract data type); Human–computer interaction; Frame (networking); Facial recognition system; Pattern recognition (psychology); Programming language","score_opus":0.03137706771161896,"score_gpt":0.22195366276930512,"score_spread":0.19057659505768615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236565392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036186792,0.00017123074,0.9410875,0.00010356345,0.000111728106,0.00012371574,0.00008549516,0.01164131,0.0104887],"genre_scores_gemma":[0.3342077,0.00035804266,0.6394344,0.00017194137,0.00007909586,0.00016603197,0.00037361632,0.0033061863,0.021903047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996793,0.000051326348,0.000014699859,0.00007857324,0.00014244094,0.000033757533],"domain_scores_gemma":[0.9995912,0.00013840118,0.000032474843,0.00014453438,0.00006080521,0.000032576496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040278828,0.00076972484,0.00041061302,0.00051905547,0.00031392518,0.0004564923,0.0009714641,0.0005794369,0.0107259],"category_scores_gemma":[0.0014191469,0.00033878512,0.0005241098,0.00017384872,0.0002969888,0.0006761792,0.0011692061,0.0006739615,0.002313894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027429571,0.000116224226,0.00055884436,0.00020820803,0.00004405753,0.0005834262,0.00068718777,0.032781355,0.5483264,0.007236026,0.008109466,0.40107462],"study_design_scores_gemma":[0.00009677704,0.00035908286,0.002382256,0.000058367666,0.000070060974,0.0018061452,0.00017449065,0.5946538,0.2869859,0.007005837,0.106287025,0.00012021273],"about_ca_topic_score_codex":0.0006196703,"about_ca_topic_score_gemma":0.00091514277,"teacher_disagreement_score":0.0107259,"about_ca_system_score_codex":0.00020087829,"about_ca_system_score_gemma":0.00018455954,"threshold_uncertainty_score":0.03588164},"labels":[],"label_agreement":null},{"id":"W4236802966","doi":"10.1145/3262496","title":"Session details: Computation on GPUs","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Session (web analytics); Computer science; Computation; Parallel computing; Computational science; Computer graphics (images); Programming language; World Wide Web","score_opus":0.022883904212325945,"score_gpt":0.261104008026764,"score_spread":0.23822010381443803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236802966","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01341321,0.008902615,0.10704267,0.01397019,0.035726238,0.0012689463,0.027198782,0.022238309,0.7702391],"genre_scores_gemma":[0.081207566,0.005315429,0.027822841,0.0012885266,0.0040991455,0.00059397874,0.018308824,0.004895913,0.8564678],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966156,0.000052741892,0.000015414438,0.00008405366,0.00009406509,0.000092230235],"domain_scores_gemma":[0.998995,0.00019236452,0.0000177316,0.00021139202,0.00024810297,0.00033548934],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047011537,0.0016387594,0.0024008742,0.00058345613,0.0013173341,0.0030705624,0.0014725849,0.001817258,0.66621184],"category_scores_gemma":[0.0019106086,0.00030053811,0.001047165,0.001479156,0.00033330132,0.001563438,0.0016708696,0.001814203,0.25176653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082748826,0.00013625207,0.00030671732,0.00039102766,0.00004346194,0.00008675199,0.00003862762,0.001337791,0.00565409,0.008756308,0.9051512,0.07727022],"study_design_scores_gemma":[0.00038501166,0.00020145914,0.0011386421,0.00011963388,0.000048805683,0.00017481005,0.000051885545,0.015705373,0.0052581187,0.017256653,0.9596202,0.00003929599],"about_ca_topic_score_codex":0.0013728288,"about_ca_topic_score_gemma":0.0026969728,"teacher_disagreement_score":0.66621184,"about_ca_system_score_codex":0.00068790687,"about_ca_system_score_gemma":0.00088861695,"threshold_uncertainty_score":0.47610825},"labels":[],"label_agreement":null},{"id":"W4238002259","doi":"10.1145/1833351.1778808","title":"Robust physics-based locomotion using low-dimensional planning","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Traverse; Terrain; Computer science; Control theory (sociology); Gait; Simulation; Jumping; Controller (irrigation); Motion planning; Heading (navigation); Planner; Robot; Control (management); Engineering; Artificial intelligence; Aerospace engineering","score_opus":0.030692216572483732,"score_gpt":0.2366008428649892,"score_spread":0.20590862629250548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238002259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077252993,0.000112450194,0.9872836,0.00006672907,0.000029425615,0.000035521323,0.000025679874,0.0014425355,0.0032788226],"genre_scores_gemma":[0.6801646,0.00019345689,0.3157158,0.000083894716,0.000034223947,0.00022003602,0.00013533834,0.0002253477,0.003227335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999729,0.000039087565,0.000014339401,0.000055330023,0.0001371958,0.000025101042],"domain_scores_gemma":[0.99965024,0.00015523912,0.000055966615,0.000062138024,0.000054158383,0.0000223118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033270323,0.0007389431,0.00059706013,0.0003424023,0.00039106494,0.00068252307,0.00092452514,0.0005271595,0.0015626723],"category_scores_gemma":[0.00093438104,0.0004633132,0.00041422315,0.00021085028,0.00069445337,0.0005644753,0.0009595416,0.0007292055,0.00041505674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051200128,0.000037789963,0.0001664359,0.000047821675,0.00001958062,0.00007405063,0.00004241536,0.93168205,0.009938025,0.011269294,0.0008612537,0.04581011],"study_design_scores_gemma":[0.000009149534,0.00002023876,0.0000392562,0.0000027012097,0.000003170757,0.000010948323,0.000002348625,0.99523443,0.0010186131,0.002991132,0.0006634993,0.0000045930287],"about_ca_topic_score_codex":0.0036453046,"about_ca_topic_score_gemma":0.0031284795,"teacher_disagreement_score":0.0036453046,"about_ca_system_score_codex":0.00049129105,"about_ca_system_score_gemma":0.000928629,"threshold_uncertainty_score":0.007248163},"labels":[],"label_agreement":null},{"id":"W4238005791","doi":"10.1145/2010324.1964990","title":"Layered 3D","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Backlight; Computer science; Brightness; Attenuation; Attenuator (electronics); Optics; Parallax; Light field; Computer vision; Projector; Artificial intelligence; Computer graphics (images); Physics; Liquid-crystal display","score_opus":0.038638529070779803,"score_gpt":0.232579792553219,"score_spread":0.1939412634824392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238005791","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009985903,0.00088215887,0.93339586,0.00042502643,0.00032893525,0.00008885255,0.00078369747,0.002653315,0.051456343],"genre_scores_gemma":[0.17870708,0.001619786,0.7865756,0.00038928838,0.00008393263,0.00024375235,0.001841715,0.000943083,0.029595872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995604,0.000049671315,0.000026269223,0.0000673205,0.00024331498,0.000053083408],"domain_scores_gemma":[0.99977726,0.00003171241,0.000021052534,0.00008545432,0.00005778672,0.000026712727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023930414,0.0009089317,0.0004466414,0.0008154686,0.00049372733,0.0025361679,0.0012278786,0.0007239822,0.017556671],"category_scores_gemma":[0.00073115906,0.0006313427,0.0010379371,0.00059452554,0.0004539235,0.0014565367,0.0024991136,0.0011664651,0.006342352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001156345,0.00009452622,0.0017346939,0.00068950513,0.00014599474,0.0005742375,0.00051057525,0.15550861,0.09431807,0.40321696,0.038722675,0.30436847],"study_design_scores_gemma":[0.00004067653,0.00011413128,0.00093463704,0.0001702694,0.00006908885,0.0011779603,0.00015026331,0.3897336,0.056338977,0.08065041,0.47050172,0.00011822748],"about_ca_topic_score_codex":0.0018301831,"about_ca_topic_score_gemma":0.0032609303,"teacher_disagreement_score":0.017556671,"about_ca_system_score_codex":0.00062660285,"about_ca_system_score_gemma":0.00070672075,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4238060157","doi":"10.1145/3476576.3476597","title":"StrokeStrip","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images)","score_opus":0.028971455286574268,"score_gpt":0.2890000829673144,"score_spread":0.26002862768074014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238060157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008057624,0.00059864554,0.80584747,0.0003227314,0.00057419244,0.00069355225,0.006656028,0.11913681,0.05811291],"genre_scores_gemma":[0.13270508,0.0010882671,0.7247145,0.0006816186,0.00014705946,0.0013318165,0.017193,0.044541903,0.077596806],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899834,0.00009256076,0.00007639406,0.00023771604,0.00050500064,0.00009012518],"domain_scores_gemma":[0.9984006,0.00043058133,0.00009095638,0.00062059617,0.00033713278,0.00012012302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097502477,0.0019250079,0.0009024363,0.0015984914,0.0007545696,0.0033950938,0.003331309,0.0017610011,0.15093383],"category_scores_gemma":[0.006789874,0.0012286057,0.0016354985,0.0014464719,0.00064022484,0.002943273,0.00424142,0.0021232378,0.041544154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005638079,0.00015342017,0.0014151431,0.0011020199,0.00013805188,0.00054772786,0.0006912502,0.018133305,0.022671016,0.029950317,0.1763186,0.7483153],"study_design_scores_gemma":[0.00020709446,0.00034122588,0.0023910422,0.00026709193,0.00009700659,0.0015691944,0.00032547614,0.21832111,0.058686253,0.041786417,0.6757817,0.00022643027],"about_ca_topic_score_codex":0.001384368,"about_ca_topic_score_gemma":0.002798516,"teacher_disagreement_score":0.15093383,"about_ca_system_score_codex":0.00064318365,"about_ca_system_score_gemma":0.0008678508,"threshold_uncertainty_score":0.50492394},"labels":[],"label_agreement":null},{"id":"W4238405252","doi":"10.1145/1833351.1778839","title":"Learning 3D mesh segmentation and labeling","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conditional random field; Segmentation; Polygon mesh; Benchmark (surveying); Computer science; Artificial intelligence; Consistency (knowledge bases); Pattern recognition (psychology); Function (biology); Field (mathematics); Machine learning; Mathematics; Computer graphics (images)","score_opus":0.009559818595785967,"score_gpt":0.2235811429435935,"score_spread":0.21402132434780752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238405252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009865528,0.0001879626,0.98448807,0.00018109403,0.000042715717,0.00012645921,0.0004294257,0.003731613,0.00094722526],"genre_scores_gemma":[0.1458852,0.0002586992,0.8460113,0.00033809734,0.000094719835,0.0003783399,0.0035022153,0.0010926632,0.0024388228],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99678963,0.0005002593,0.00013493405,0.0012600053,0.0010628233,0.00025229104],"domain_scores_gemma":[0.99654716,0.0015670874,0.00032952527,0.0007878552,0.00060447695,0.00016395906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019670236,0.002295271,0.002885244,0.004151504,0.0012550069,0.0022744006,0.005227416,0.0055654817,0.0039618695],"category_scores_gemma":[0.0071865204,0.0023862158,0.0032040635,0.0027352544,0.0021667907,0.0032878204,0.0036503025,0.0030288717,0.0026441377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028082225,0.00022391047,0.003138084,0.00036075112,0.00015654413,0.0002845243,0.00022733981,0.4703607,0.021258943,0.013308754,0.0171303,0.47326937],"study_design_scores_gemma":[0.000015040197,0.00003832077,0.00027635458,0.000024830082,0.00001484381,0.00010755415,0.000043264346,0.97777265,0.0048564086,0.014540563,0.0022939164,0.000016282458],"about_ca_topic_score_codex":0.0062990375,"about_ca_topic_score_gemma":0.012025103,"teacher_disagreement_score":0.0062990375,"about_ca_system_score_codex":0.0019805036,"about_ca_system_score_gemma":0.002141815,"threshold_uncertainty_score":0.014369607},"labels":[],"label_agreement":null},{"id":"W4239282843","doi":"10.1145/2366145.2366177","title":"Stackabilization","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Israel Science Foundation","keywords":"Object (grammar); Stacking; Computer science; Symmetry (geometry); Computer vision; Deformation (meteorology); Energy minimization; Free-form deformation; Artificial intelligence; Measure (data warehouse); Minification; Geometry; Mathematics; Physics","score_opus":0.021269017355219945,"score_gpt":0.2321182711878763,"score_spread":0.21084925383265637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239282843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029228205,0.00046574333,0.93287104,0.00065233884,0.00020270956,0.00018435155,0.0004192356,0.0028322204,0.03314408],"genre_scores_gemma":[0.5344029,0.0008077626,0.4300563,0.00072706613,0.00025142048,0.0004470111,0.002243782,0.0030390462,0.028024655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99678254,0.0004344888,0.0002504857,0.00076220836,0.0013899655,0.00038020607],"domain_scores_gemma":[0.9950819,0.0011269168,0.00049343595,0.0021431958,0.0009002447,0.00025435275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019118895,0.0016301629,0.0008745306,0.0019399816,0.0019358062,0.0038846994,0.0032566509,0.002007971,0.016972354],"category_scores_gemma":[0.009685783,0.00070775126,0.0017586339,0.0014464002,0.003535688,0.007686073,0.006697173,0.0022179561,0.0038787662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029880466,0.00013374003,0.0032022118,0.0005582624,0.00011285488,0.0009106923,0.001064426,0.06151659,0.03045737,0.5285213,0.017620906,0.3556028],"study_design_scores_gemma":[0.000045105022,0.00032235688,0.002057488,0.00020361724,0.00012305117,0.0019235762,0.00087584415,0.2226106,0.059934095,0.5182742,0.19344647,0.00018358683],"about_ca_topic_score_codex":0.0015274755,"about_ca_topic_score_gemma":0.001298055,"teacher_disagreement_score":0.016972354,"about_ca_system_score_codex":0.001193398,"about_ca_system_score_gemma":0.0011695209,"threshold_uncertainty_score":0.056778193},"labels":[],"label_agreement":null},{"id":"W4240298359","doi":"10.1145/2010324.1964931","title":"Eulerian solid simulation with contact","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discretization; Collision detection; Eulerian path; Computer science; Collision; Grid; Constraint (computer-aided design); Algorithm; Mathematical optimization; Applied mathematics; Mathematics; Mathematical analysis; Geometry; Lagrangian","score_opus":0.03471600614995637,"score_gpt":0.23469901053733955,"score_spread":0.19998300438738317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240298359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.111866444,0.00027532555,0.8467917,0.00045084066,0.00013469631,0.00019466037,0.0005033956,0.002483568,0.037299395],"genre_scores_gemma":[0.7345166,0.0002705522,0.24972698,0.00013124627,0.000040377166,0.00047564748,0.00049572607,0.0006490644,0.0136937555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996152,0.00006699855,0.000021145901,0.00004287441,0.00021457762,0.00003915258],"domain_scores_gemma":[0.9993925,0.00027839717,0.000048159243,0.000117802905,0.00010225928,0.000060895654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281316,0.00048520463,0.00069821335,0.0005054055,0.0006781885,0.00105102,0.0012285408,0.0017137277,0.006917494],"category_scores_gemma":[0.002072061,0.0004662499,0.0006196021,0.00071556855,0.001009346,0.0011766517,0.0019084776,0.00094249024,0.0009170417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005581679,0.000048539714,0.00070997205,0.000043598982,0.00001652812,0.0001633744,0.00015788106,0.9565877,0.003001494,0.027997227,0.0010894077,0.010128473],"study_design_scores_gemma":[0.000012757958,0.000006758424,0.000044131488,0.0000025277373,0.0000013445583,0.000018149218,0.000008293801,0.99452245,0.00055484864,0.0030936305,0.0017316992,0.0000033420495],"about_ca_topic_score_codex":0.005528911,"about_ca_topic_score_gemma":0.0031854557,"teacher_disagreement_score":0.006917494,"about_ca_system_score_codex":0.0007367156,"about_ca_system_score_gemma":0.0013773121,"threshold_uncertainty_score":0.023141384},"labels":[],"label_agreement":null},{"id":"W4241381790","doi":"10.1145/2185520.2335393","title":"Eyecatch","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Movement (music); Human–computer interaction; Computer vision; Generative model; Generative grammar","score_opus":0.024041733229139026,"score_gpt":0.23961283263295796,"score_spread":0.21557109940381894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241381790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058734845,0.00041197572,0.959541,0.00034132414,0.00024369691,0.00015966996,0.00072282343,0.008768304,0.023937726],"genre_scores_gemma":[0.26379052,0.00083175616,0.6740938,0.0006673133,0.00012452729,0.0006673945,0.0024560057,0.0029101649,0.05445853],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997658,0.000039243,0.000009845561,0.00007247132,0.00008306509,0.000029528786],"domain_scores_gemma":[0.99973637,0.00005942501,0.000016005804,0.00009808194,0.000045900997,0.000044214266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003807917,0.0007946676,0.0004418685,0.0007144143,0.0006028234,0.0011323284,0.0017794135,0.001338277,0.023757732],"category_scores_gemma":[0.0012238625,0.00041187165,0.00096596155,0.000316503,0.00083126395,0.001508815,0.002525552,0.0014231585,0.0044196225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005595359,0.00020249863,0.0019702294,0.00047578808,0.00017396064,0.0008021948,0.0007194621,0.13854939,0.051213022,0.31555936,0.07868021,0.4110943],"study_design_scores_gemma":[0.000104915096,0.00016496965,0.00075864326,0.000109654364,0.0000547681,0.0006303413,0.00007156431,0.6527761,0.013280169,0.086073615,0.24589509,0.00008015923],"about_ca_topic_score_codex":0.004079949,"about_ca_topic_score_gemma":0.008444413,"teacher_disagreement_score":0.023757732,"about_ca_system_score_codex":0.00058507605,"about_ca_system_score_gemma":0.0006874462,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4241833966","doi":"10.1145/3476576.3476626","title":"Direct delta mush skinning compression with continuous examples","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Skinning; Vertex (graph theory); Computer science; Computation; Computer graphics (images); Algorithm; Theoretical computer science; Graph; Engineering; Mechanical engineering","score_opus":0.026620574463888935,"score_gpt":0.27633130378777215,"score_spread":0.24971072932388322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241833966","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06454927,0.0006717534,0.9008463,0.0002366504,0.00019495984,0.00013542145,0.0002483057,0.0038245288,0.02929281],"genre_scores_gemma":[0.3907558,0.00045753922,0.5928669,0.00018131948,0.0000630381,0.000112930524,0.0005579822,0.0012532272,0.013751245],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997421,0.000032650034,0.000011915188,0.000042089236,0.00014743542,0.000023841072],"domain_scores_gemma":[0.99951744,0.00019524894,0.000018417795,0.00013804971,0.00010165585,0.000029151845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029435428,0.0005848082,0.00044421558,0.00068009656,0.00027771675,0.0008009963,0.0007900764,0.00056405744,0.012009737],"category_scores_gemma":[0.0016131519,0.0002688463,0.0002778084,0.00069340883,0.00059719814,0.0010248115,0.0014223271,0.00087275123,0.0019661684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039782608,0.00011805652,0.00070620165,0.00052937854,0.000030576342,0.0006511489,0.0003386719,0.17805773,0.051686037,0.05469363,0.020501992,0.6922887],"study_design_scores_gemma":[0.000044321318,0.000081891136,0.00030578588,0.00004598669,0.000006616745,0.00034446726,0.0000981126,0.93509966,0.028032312,0.019011261,0.016909318,0.000020284697],"about_ca_topic_score_codex":0.00083611143,"about_ca_topic_score_gemma":0.0012445486,"teacher_disagreement_score":0.012009737,"about_ca_system_score_codex":0.00020144852,"about_ca_system_score_gemma":0.00028258932,"threshold_uncertainty_score":0.04017657},"labels":[],"label_agreement":null},{"id":"W4242718199","doi":"10.1145/2601097.2601197","title":"PushPull++","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Seventh Framework Programme","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Vertex (graph theory); Face (sociological concept); Computer graphics (images); Algorithm; Computer vision; Theoretical computer science; Graph","score_opus":0.012038551795243688,"score_gpt":0.20643912435818598,"score_spread":0.1944005725629423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242718199","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034390439,0.00045853964,0.568129,0.00028109446,0.00041404867,0.000329116,0.007712142,0.3907804,0.028456593],"genre_scores_gemma":[0.06693438,0.0017804602,0.5728578,0.0018780066,0.0002765422,0.003051147,0.040447615,0.25073862,0.062035397],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984718,0.00015245592,0.00013190413,0.0002275381,0.00083640876,0.00017994869],"domain_scores_gemma":[0.9979366,0.00078150554,0.0001251707,0.0006500782,0.00036476323,0.00014189542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012345392,0.0032804797,0.0014801522,0.0013695603,0.0010058758,0.0037489096,0.0064154244,0.0020236166,0.094316445],"category_scores_gemma":[0.0047660037,0.0022667677,0.0027424488,0.0011064432,0.0011592512,0.004371832,0.008315483,0.003208895,0.050890937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008882853,0.00021351362,0.0016655484,0.0023123885,0.00021606113,0.0012225052,0.000849128,0.015876113,0.024833359,0.0495958,0.50107235,0.40125504],"study_design_scores_gemma":[0.0002878302,0.00012046105,0.00055949093,0.00021227782,0.000077037155,0.0009251074,0.000104880695,0.064937904,0.04185431,0.028084904,0.8625961,0.00023969685],"about_ca_topic_score_codex":0.0019119096,"about_ca_topic_score_gemma":0.0031514047,"teacher_disagreement_score":0.094316445,"about_ca_system_score_codex":0.00059310865,"about_ca_system_score_gemma":0.0010814304,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4243263554","doi":"10.1145/1276377.1276414","title":"Image-guided maze construction","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Image (mathematics); Computer science; Path (computing); Set (abstract data type); Artificial intelligence; Computer vision; Algorithm; Theoretical computer science; Computer graphics (images); Programming language","score_opus":0.028243638802330506,"score_gpt":0.28800335679276806,"score_spread":0.25975971799043757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243263554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056556496,0.00009505608,0.9870292,0.000054488853,0.000028404944,0.000049269132,0.00007677868,0.002302997,0.0047080484],"genre_scores_gemma":[0.0733028,0.00017308364,0.92054844,0.000062958025,0.000015724712,0.00014244682,0.00027027866,0.00070490444,0.004779275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995782,0.00008720153,0.000021383396,0.00009922836,0.00015595739,0.000058065703],"domain_scores_gemma":[0.9992817,0.00022736417,0.000058698806,0.00021413587,0.00015735094,0.000060769926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037070664,0.0014690049,0.0008287687,0.00088590616,0.0005793772,0.0014217794,0.0017613784,0.00078039727,0.01117654],"category_scores_gemma":[0.0019185196,0.0006413363,0.0012082717,0.00052861014,0.00077880593,0.0014652007,0.0022870218,0.0012006093,0.0026666552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003664527,0.00017331117,0.0011318027,0.0004988476,0.00009023823,0.00033821628,0.0006883834,0.14019251,0.08349364,0.081632316,0.018223397,0.67317086],"study_design_scores_gemma":[0.00011085614,0.00020909091,0.00044606146,0.00008511892,0.00005331983,0.00050288247,0.0001401667,0.80905336,0.06412089,0.0661327,0.059050094,0.00009553855],"about_ca_topic_score_codex":0.0012566665,"about_ca_topic_score_gemma":0.0020575693,"teacher_disagreement_score":0.01117654,"about_ca_system_score_codex":0.0005523862,"about_ca_system_score_gemma":0.00050970155,"threshold_uncertainty_score":0.03738922},"labels":[],"label_agreement":null},{"id":"W4245080366","doi":"10.1145/1833351.1778830","title":"SmartBoxes for interactive urban reconstruction","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Point cloud; Computer science; Semantics (computer science); Simple (philosophy); Key (lock); Point (geometry); Architectural model; Scale (ratio); Term (time); Human–computer interaction; Theoretical computer science; Artificial intelligence; Architecture; Programming language; Mathematics; Geometry","score_opus":0.01966427359358122,"score_gpt":0.23297040379058453,"score_spread":0.2133061301970033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245080366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046015023,0.00008736944,0.9786445,0.00008908661,0.00003668534,0.00004442785,0.00039235846,0.013666612,0.0024374686],"genre_scores_gemma":[0.13065939,0.0003633241,0.8574275,0.00017811534,0.000036777183,0.00037084633,0.0013941231,0.0046975524,0.0048724413],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999607,0.00009136431,0.000020752877,0.000067373214,0.000180505,0.000032937012],"domain_scores_gemma":[0.9991179,0.0005202934,0.000033443725,0.00021035233,0.00006145109,0.0000564837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000623799,0.0012151414,0.00094584114,0.00072352693,0.00039838545,0.001282849,0.0016648204,0.0010267235,0.023679096],"category_scores_gemma":[0.0024234683,0.000894083,0.0010617145,0.00048366137,0.0006241091,0.0016449733,0.0035558122,0.0012007253,0.0033494157],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009878759,0.00019403153,0.0017854162,0.001019197,0.00022593992,0.0012814353,0.0013481283,0.24531591,0.1142593,0.08953639,0.062845185,0.48120123],"study_design_scores_gemma":[0.00008880369,0.00005295918,0.0003907923,0.000068245274,0.000019953191,0.00037788405,0.00012420774,0.8744578,0.026115734,0.029965492,0.06827894,0.00005913565],"about_ca_topic_score_codex":0.0011929503,"about_ca_topic_score_gemma":0.0024735513,"teacher_disagreement_score":0.023679096,"about_ca_system_score_codex":0.0003502172,"about_ca_system_score_gemma":0.00035200125,"threshold_uncertainty_score":0.07921451},"labels":[],"label_agreement":null},{"id":"W4245179778","doi":"10.1145/3009907","title":"Domain of Attraction Expansion for Physics-Based Character Control","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Character (mathematics); Computer science; Domain (mathematical analysis); Attraction; Control (management); Algorithm; Controller (irrigation); Control theory (sociology); Artificial intelligence; Mathematics; Mathematical analysis; Geometry","score_opus":0.03033854666031896,"score_gpt":0.2642496434047837,"score_spread":0.23391109674446472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245179778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026891217,0.0002883635,0.9672538,0.00013633544,0.000035384764,0.0000366818,0.000029538529,0.00061357353,0.0047151055],"genre_scores_gemma":[0.7810407,0.00025812848,0.21540038,0.00011589955,0.000036044876,0.00018175955,0.000087260596,0.00014407985,0.0027356993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976236,0.00007188638,0.000011298573,0.000042076565,0.00008471514,0.0000276102],"domain_scores_gemma":[0.9992557,0.00049427385,0.000043600066,0.000090967114,0.00007279347,0.00004265389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004607453,0.00035358183,0.0005218462,0.00044300937,0.00040595207,0.00049934036,0.00062603666,0.0005038528,0.002964755],"category_scores_gemma":[0.0018389785,0.00028063793,0.00037739697,0.0002664817,0.00067043485,0.0009342684,0.0012170236,0.0010811259,0.00040478908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111591035,0.00007038684,0.00037154363,0.00007878908,0.000016423177,0.00006512922,0.00010466645,0.8831588,0.013935956,0.038465526,0.0012888709,0.06233222],"study_design_scores_gemma":[0.000006386359,0.000024163339,0.000050176157,0.000004860006,0.0000016151911,0.00001490878,0.000009557729,0.99063,0.0010925081,0.007035277,0.0011259224,0.0000047544877],"about_ca_topic_score_codex":0.0011445016,"about_ca_topic_score_gemma":0.0010377221,"teacher_disagreement_score":0.002964755,"about_ca_system_score_codex":0.00043458163,"about_ca_system_score_gemma":0.00035751605,"threshold_uncertainty_score":0.009918153},"labels":[],"label_agreement":null},{"id":"W4245313520","doi":"10.1145/3476576.3476759","title":"Optimizing UI layouts for deformable face-rig manipulation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Face (sociological concept); Computer graphics (images); Computer vision; Artificial intelligence; Human–computer interaction; Engineering drawing; Engineering","score_opus":0.04385879132233857,"score_gpt":0.26974166020196133,"score_spread":0.22588286887962278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245313520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011919876,0.00017423528,0.97774726,0.00008059266,0.00008847963,0.000084535975,0.00013125053,0.0069996156,0.0027741923],"genre_scores_gemma":[0.31622213,0.00022273131,0.6715768,0.00015583934,0.00006143557,0.00016405471,0.00042466086,0.003323693,0.007848611],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992818,0.00013169213,0.00003569619,0.000098716504,0.00035932974,0.00009281768],"domain_scores_gemma":[0.99929416,0.00023877584,0.00005550717,0.00021654747,0.00013251568,0.00006255116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052908243,0.0015395317,0.0011910746,0.00091595674,0.00047524823,0.0011595374,0.0018170488,0.0011930804,0.019520156],"category_scores_gemma":[0.0039001761,0.00097303785,0.0009278552,0.0007533385,0.0005756637,0.0012117951,0.0022797284,0.0019031777,0.004220619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057501416,0.00030030095,0.0008180663,0.00032733497,0.000076586635,0.0002790629,0.00020001456,0.26016757,0.10885179,0.008824446,0.0119090695,0.6076707],"study_design_scores_gemma":[0.000052463263,0.00008776112,0.00018598423,0.000012963988,0.000013416826,0.00005916056,0.0000352881,0.9792629,0.014364227,0.0034386157,0.0024683678,0.00001876707],"about_ca_topic_score_codex":0.0030487638,"about_ca_topic_score_gemma":0.006828316,"teacher_disagreement_score":0.019520156,"about_ca_system_score_codex":0.00063237915,"about_ca_system_score_gemma":0.0006991932,"threshold_uncertainty_score":0.06530148},"labels":[],"label_agreement":null},{"id":"W4246346374","doi":"10.1145/3262282","title":"Session details: Character animation I","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Character animation; Session (web analytics); Character (mathematics); Computer science; Computer graphics (images); Animation; Multimedia; Computer animation; World Wide Web; Geometry; Mathematics","score_opus":0.021296115361749687,"score_gpt":0.2495054389798541,"score_spread":0.22820932361810442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246346374","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016827312,0.0020840527,0.009728713,0.003376003,0.015900875,0.0013582164,0.020720705,0.013969195,0.9311795],"genre_scores_gemma":[0.009789976,0.0014818895,0.002939684,0.00070791104,0.002281969,0.0005081545,0.011308515,0.0024015333,0.96858037],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99962234,0.00006083576,0.000020773272,0.00011499657,0.000095138865,0.00008598392],"domain_scores_gemma":[0.99816304,0.00037364181,0.000033985274,0.0003305696,0.00039191343,0.0007067883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00087959995,0.0019513838,0.0021769179,0.0010155912,0.0017095242,0.0037831296,0.0015338996,0.0036570881,0.91645825],"category_scores_gemma":[0.0030203,0.00047268142,0.0012004834,0.0012211297,0.00032865288,0.0021978186,0.0028791407,0.0027495278,0.84227735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036232767,0.000120684286,0.00010668294,0.00019994719,0.0000121827325,0.000054719265,0.000028547725,0.00010098525,0.0018495442,0.000770678,0.93897665,0.057417084],"study_design_scores_gemma":[0.00012898083,0.00018714432,0.0009118307,0.00014016703,0.000015969601,0.0001025971,0.000037244274,0.00074010127,0.0012059627,0.00095032377,0.9955592,0.00002038196],"about_ca_topic_score_codex":0.0009219113,"about_ca_topic_score_gemma":0.0018570096,"teacher_disagreement_score":0.91645825,"about_ca_system_score_codex":0.00049065857,"about_ca_system_score_gemma":0.0005293165,"threshold_uncertainty_score":0.11916208},"labels":[],"label_agreement":null},{"id":"W4246611877","doi":"10.1145/2070781.2024202","title":"Slices","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Computer science; Planar; Intersection (aeronautics); Set (abstract data type); Object (grammar); Artificial intelligence; Computer vision; Computer graphics (images)","score_opus":0.07015500290185923,"score_gpt":0.22307406186134632,"score_spread":0.1529190589594871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246611877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030941037,0.00058023806,0.93829316,0.00018792445,0.00010226224,0.00022375463,0.0016919994,0.005783655,0.022195991],"genre_scores_gemma":[0.30427894,0.0006232208,0.67796504,0.0001680431,0.000042376905,0.0002360427,0.004634092,0.0018316334,0.010220586],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996123,0.00005124299,0.000034023677,0.000109483524,0.00014834978,0.000044539578],"domain_scores_gemma":[0.999361,0.00015005702,0.000063547646,0.00025064743,0.00013319925,0.00004169127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003613049,0.00092118216,0.00060651,0.0011386789,0.00059139996,0.0022151205,0.0009725731,0.00075334165,0.021172544],"category_scores_gemma":[0.0026755217,0.0004474553,0.0008221705,0.0010136174,0.00058579416,0.0023138633,0.0020615493,0.0006946017,0.00407434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007305518,0.00008176374,0.004991573,0.000856779,0.000109426066,0.00046352917,0.0011128339,0.049554814,0.05489361,0.22594143,0.029736256,0.63152736],"study_design_scores_gemma":[0.00008563624,0.0003552405,0.0038577567,0.0003258459,0.000114707,0.0019280195,0.0012119466,0.41909316,0.073473826,0.26193228,0.23749325,0.00012835112],"about_ca_topic_score_codex":0.0011672198,"about_ca_topic_score_gemma":0.002935739,"teacher_disagreement_score":0.021172544,"about_ca_system_score_codex":0.0004931201,"about_ca_system_score_gemma":0.0005931038,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4246894222","doi":"10.1145/3092817","title":"Co-Locating Style-Defining Elements on 3D Shapes","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Color perception and design","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Style (visual arts); Set (abstract data type); Discriminative model; Computer science; Variety (cybernetics); Selection (genetic algorithm); Artificial intelligence; Pattern recognition (psychology)","score_opus":0.07813963579146364,"score_gpt":0.3790163807634357,"score_spread":0.30087674497197203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246894222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035774436,0.00013783168,0.9606983,0.00005617657,0.000023625847,0.000085141466,0.00016721463,0.00187499,0.0011823879],"genre_scores_gemma":[0.28218165,0.00020505168,0.7134965,0.00012395391,0.000043274587,0.00019373286,0.00095818425,0.0006056688,0.0021919778],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854654,0.00014527918,0.000053190626,0.00059108366,0.00049541774,0.00016840712],"domain_scores_gemma":[0.99810034,0.0004675885,0.00020547764,0.00063487864,0.00045877503,0.00013299001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081814517,0.0011258096,0.0015962837,0.003394,0.0007491516,0.0016600231,0.0020529325,0.0014101241,0.0024123313],"category_scores_gemma":[0.003638069,0.00083924836,0.001694504,0.0031389587,0.0012443585,0.001667387,0.0028751418,0.001588458,0.0017955259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060189125,0.00027520477,0.012282608,0.00032596212,0.00017141225,0.00038370403,0.0014338546,0.05950285,0.15800959,0.013608042,0.0051211766,0.7482837],"study_design_scores_gemma":[0.000027187296,0.00014700188,0.006532092,0.000045153003,0.0000636887,0.00084997906,0.00033762693,0.9138556,0.054884706,0.014395349,0.008790985,0.00007051135],"about_ca_topic_score_codex":0.003722317,"about_ca_topic_score_gemma":0.0076591456,"teacher_disagreement_score":0.003722317,"about_ca_system_score_codex":0.0007508519,"about_ca_system_score_gemma":0.0009970636,"threshold_uncertainty_score":0.008069992},"labels":[],"label_agreement":null},{"id":"W4247426574","doi":"10.1145/1882261.1866165","title":"Optical computing for fast light transport analysis","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Krylov subspace; Computer science; Subspace topology; Subroutine; Computer graphics (images); Eigenvalues and eigenvectors; Matrix (chemical analysis); Computer vision; Generalized minimal residual method; Computation; Algorithm; Computational science; Artificial intelligence; Physics; Iterative method","score_opus":0.017639150697646353,"score_gpt":0.2945532454092734,"score_spread":0.27691409471162703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247426574","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014177758,0.00024945324,0.99279803,0.00021544918,0.000063083324,0.000029708901,0.00009962483,0.00082659454,0.004300338],"genre_scores_gemma":[0.10989138,0.0010660627,0.8789159,0.00021065681,0.00017680577,0.0002866586,0.00040147413,0.0008176344,0.008233426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995864,0.00008230476,0.000017148705,0.0000633758,0.0002063114,0.000044558095],"domain_scores_gemma":[0.9992505,0.00025241272,0.00006072191,0.00021356692,0.00019206759,0.00003080346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051652576,0.0010847817,0.000620979,0.001042762,0.0009265088,0.0018644416,0.0010991896,0.00080647273,0.012760641],"category_scores_gemma":[0.0022856873,0.00048541004,0.0008052023,0.0012613469,0.0009769263,0.002275105,0.0017721453,0.001745016,0.0027930122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010322438,0.000055692704,0.0004885319,0.00028829923,0.00005195242,0.00010055566,0.00015139756,0.18006404,0.015599767,0.53246206,0.01501689,0.25561765],"study_design_scores_gemma":[0.000014721988,0.000014942976,0.00013584555,0.00003179831,0.000008452369,0.000049590046,0.0000323895,0.8059177,0.0042102467,0.1662075,0.023356449,0.000020291229],"about_ca_topic_score_codex":0.0040944074,"about_ca_topic_score_gemma":0.003998443,"teacher_disagreement_score":0.012760641,"about_ca_system_score_codex":0.001137722,"about_ca_system_score_gemma":0.0011870413,"threshold_uncertainty_score":0.04268861},"labels":[],"label_agreement":null},{"id":"W4247822984","doi":"10.1145/2010324.1964934","title":"Large-scale dynamic simulation of highly constrained strands","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constraint (computer-aided design); Discretization; Eulerian path; Computer science; Node (physics); Lagrangian; Animation; Degrees of freedom (physics and chemistry); Massively parallel; Key (lock); Mathematical optimization; Algorithm; Computer graphics (images); Applied mathematics; Mathematics; Geometry; Physics; Parallel computing; Mathematical analysis","score_opus":0.02781696600943923,"score_gpt":0.2882587389208068,"score_spread":0.26044177291136755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247822984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52614534,0.00026652214,0.4478379,0.0003829068,0.00006813756,0.00009205069,0.0002046679,0.0007231549,0.024279347],"genre_scores_gemma":[0.94168067,0.00014928557,0.05282464,0.0000518849,0.000015375048,0.00012033714,0.0001522786,0.00014434729,0.004861154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999887,0.000028642427,0.0000052129158,0.000017217668,0.000044192173,0.00001772575],"domain_scores_gemma":[0.99976104,0.000106362495,0.000029191418,0.00003169291,0.000031194446,0.00004046578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002148488,0.00030020534,0.00047740815,0.0002544146,0.00044226908,0.00068941544,0.00072509417,0.0009850749,0.002243455],"category_scores_gemma":[0.0010393684,0.00034571945,0.00035979907,0.00030432767,0.0007610918,0.0006740678,0.0010799463,0.0005105746,0.00035021635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016320715,0.0000168763,0.0003246033,0.000012957907,0.000008720684,0.00008145577,0.000058878904,0.98689806,0.0035372742,0.006973002,0.00018903181,0.0018828694],"study_design_scores_gemma":[0.000007042613,0.0000063499224,0.000072134724,0.0000014392938,0.0000011569318,0.000008697312,0.000009604964,0.99774796,0.0003509402,0.0014083312,0.00038358316,0.000002665064],"about_ca_topic_score_codex":0.0040011387,"about_ca_topic_score_gemma":0.0036472327,"teacher_disagreement_score":0.0040011387,"about_ca_system_score_codex":0.00045478754,"about_ca_system_score_gemma":0.0007449431,"threshold_uncertainty_score":0.00795573},"labels":[],"label_agreement":null},{"id":"W4248417974","doi":"10.1145/2185520.2335396","title":"CrossShade","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Sketch; Computer science; Rendering (computer graphics); Computer graphics (images); Key (lock); 3d model; Function (biology); Artificial intelligence; Algorithm","score_opus":0.04084494785275937,"score_gpt":0.24683768056394315,"score_spread":0.2059927327111838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248417974","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0118919015,0.0007236076,0.8912261,0.00039975776,0.0005026529,0.00026646044,0.001568711,0.03506493,0.058355868],"genre_scores_gemma":[0.15710087,0.0009887288,0.7770869,0.00041550887,0.00015841144,0.00045751943,0.003553485,0.012506155,0.047732383],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992803,0.00010271358,0.000037660266,0.0001696778,0.0003360441,0.00007372024],"domain_scores_gemma":[0.99725527,0.00085181673,0.00013854034,0.0010648388,0.0004468245,0.0002426675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093830057,0.0014172468,0.0005548346,0.0017284063,0.0006320221,0.0030546263,0.0020128693,0.0011130022,0.07802289],"category_scores_gemma":[0.006245513,0.0008737876,0.0009957417,0.0009321612,0.0007493754,0.0035406204,0.0054894206,0.0017068231,0.02072256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000381667,0.00018234561,0.002643208,0.0010730587,0.00007645514,0.0010228091,0.0025756087,0.011391832,0.058196876,0.121756084,0.10605423,0.6946459],"study_design_scores_gemma":[0.00007741248,0.00014397339,0.0018699863,0.00026704083,0.000052584513,0.001594433,0.00041400307,0.060285725,0.048203174,0.034045402,0.85292727,0.0001190033],"about_ca_topic_score_codex":0.00094322104,"about_ca_topic_score_gemma":0.0020645387,"teacher_disagreement_score":0.07802289,"about_ca_system_score_codex":0.00031201704,"about_ca_system_score_gemma":0.0007443442,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4248869497","doi":"10.1145/882262.882329","title":"Boom chameleon","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Boom; Armature (electrical engineering); Computer science; Gesture; Computer graphics (images); Exploit; Microphone; Window (computing); Annotation; Virtual space; Computer vision; Human–computer interaction; Artificial intelligence; Engineering; Operating system; Telecommunications; Mechanical engineering","score_opus":0.01887235123259743,"score_gpt":0.25418534398232295,"score_spread":0.23531299274972553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248869497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014040081,0.1265575,0.41820973,0.010922195,0.01696654,0.000618624,0.0018393454,0.012995842,0.39785016],"genre_scores_gemma":[0.08494795,0.07927566,0.2744097,0.0057659983,0.005982137,0.0006513829,0.004039824,0.0075721135,0.5373552],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985636,0.0002430823,0.00007020901,0.00023752512,0.0007826621,0.00010295245],"domain_scores_gemma":[0.9976355,0.0005703659,0.00012939979,0.00037255537,0.001040514,0.000251717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011681158,0.0011006696,0.00048012898,0.0033669183,0.0013597627,0.0024222294,0.0015193904,0.0017323978,0.054016963],"category_scores_gemma":[0.004572132,0.00046211525,0.0005136837,0.003158372,0.00095484266,0.0050232993,0.0017995593,0.0012858008,0.023363933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014996406,0.000029255058,0.00047332668,0.001063898,0.000015302856,0.0002073018,0.00058962865,0.0007615067,0.006296577,0.029317519,0.21245451,0.74864113],"study_design_scores_gemma":[0.0000033815284,0.000025578518,0.00025406457,0.00014008168,0.0000047213994,0.0003335516,0.000049915994,0.00028510866,0.0012070966,0.0015873562,0.9960896,0.000019571393],"about_ca_topic_score_codex":0.0040902486,"about_ca_topic_score_gemma":0.007856402,"teacher_disagreement_score":0.054016963,"about_ca_system_score_codex":0.0010599025,"about_ca_system_score_gemma":0.0009971956,"threshold_uncertainty_score":0.18070471},"labels":[],"label_agreement":null},{"id":"W4248936176","doi":"10.1145/2185520.2335447","title":"Efficient geometrically exact continuous collision detection","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collision detection; Computer science; Rounding; Collision; Solver; Algorithm; Curvature; Nonlinear system; Mathematics; Geometry; Physics","score_opus":0.018383710757754784,"score_gpt":0.24996401306419552,"score_spread":0.23158030230644075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248936176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05517216,0.000061505954,0.9390229,0.00006411932,0.00003300507,0.000049966045,0.000069363974,0.0016976591,0.0038293463],"genre_scores_gemma":[0.6365059,0.00007309067,0.3609991,0.000052664967,0.000011702439,0.000059438447,0.00019822075,0.00041313778,0.0016867035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895704,0.00014610699,0.00004653074,0.000111207475,0.00062930427,0.00010985717],"domain_scores_gemma":[0.9982773,0.00070351193,0.00014923418,0.00052041915,0.00027999803,0.00006952309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078358134,0.0005369057,0.00071952894,0.0005449581,0.0004229812,0.0010986751,0.0014204126,0.00073755713,0.0032076172],"category_scores_gemma":[0.0049762786,0.00035089976,0.00040302926,0.00038734742,0.0010559829,0.0010785337,0.0022785813,0.00085222395,0.0006216754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003681811,0.00010853763,0.005236513,0.00025291,0.00004138817,0.00033836707,0.0005035079,0.69208324,0.057000786,0.083111204,0.0028321755,0.15812312],"study_design_scores_gemma":[0.00001559967,0.000046820864,0.00021333827,0.000008387053,0.000004072904,0.00007284849,0.000038713824,0.97992295,0.010763661,0.007109394,0.0017910356,0.000013281253],"about_ca_topic_score_codex":0.001352921,"about_ca_topic_score_gemma":0.0014070495,"teacher_disagreement_score":0.0032076172,"about_ca_system_score_codex":0.0005720458,"about_ca_system_score_gemma":0.00093710696,"threshold_uncertainty_score":0.010730565},"labels":[],"label_agreement":null},{"id":"W4249280108","doi":"10.1145/1833351.1781157","title":"Feature-based locomotion controllers","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Computer science; Controller (irrigation); Process (computing); Feature (linguistics); Swing; GRASP; Center of mass (relativistic); Jump; Control engineering; Control (management); Artificial intelligence; Engineering","score_opus":0.00989279958784015,"score_gpt":0.21445235325446899,"score_spread":0.20455955366662884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249280108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011252279,0.00009902794,0.9803427,0.00004115732,0.000053379958,0.000048207115,0.000050833314,0.00108107,0.007031266],"genre_scores_gemma":[0.7001153,0.00022581164,0.28862748,0.000096795826,0.00006543003,0.0002738637,0.00020945858,0.00023695096,0.010148872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982435,0.000016408672,0.000011625054,0.000045520224,0.0000824194,0.000019619536],"domain_scores_gemma":[0.9998398,0.00003591087,0.000023652437,0.000026574136,0.000060121733,0.000013983994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932174,0.0005354285,0.00030479865,0.00031315096,0.00030681762,0.0006414937,0.0009205868,0.00037054712,0.002917908],"category_scores_gemma":[0.00049356924,0.00017252895,0.0002513176,0.00017787144,0.00036657802,0.00056243455,0.00064295507,0.0005658382,0.0006818072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024423626,0.00014129015,0.0007479654,0.00029122678,0.00005361982,0.0001702993,0.00020852059,0.43159303,0.1578856,0.087496884,0.0040523284,0.31711504],"study_design_scores_gemma":[0.00003813506,0.00016352277,0.00042174704,0.000018560302,0.000019921375,0.000075746655,0.00001477348,0.9583142,0.01267887,0.014166029,0.014068663,0.000019774267],"about_ca_topic_score_codex":0.00082525914,"about_ca_topic_score_gemma":0.0013718212,"teacher_disagreement_score":0.002917908,"about_ca_system_score_codex":0.00028309767,"about_ca_system_score_gemma":0.0002519178,"threshold_uncertainty_score":0.009761393},"labels":[],"label_agreement":null},{"id":"W4249470566","doi":"10.1145/3476576.3476621","title":"The shape matching element method","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Feature (linguistics); Animation; Computer science; Matching (statistics); Element (criminal law); Variety (cybernetics); Finite element method; Algorithm; Geometry; Artificial intelligence; Computer graphics (images); Mathematics; Engineering; Structural engineering","score_opus":0.01910414454923673,"score_gpt":0.2653256007062788,"score_spread":0.24622145615704208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249470566","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038130826,0.000068072135,0.99620265,0.00005620889,0.00007417572,0.000026691545,0.000038815422,0.00036356438,0.0027884368],"genre_scores_gemma":[0.02776496,0.00029462326,0.96047807,0.00019466667,0.00009332373,0.00018300064,0.00024990665,0.0006121146,0.010129283],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986628,0.00020412702,0.00005672361,0.00018786546,0.0008168422,0.00007172232],"domain_scores_gemma":[0.9994086,0.00016523786,0.00003044453,0.00017024782,0.00017758332,0.00004782791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078355934,0.000636587,0.00073405326,0.0011679677,0.00054148986,0.001585374,0.0022731556,0.0013574247,0.013759575],"category_scores_gemma":[0.0022581073,0.00057453447,0.0010587702,0.0008540102,0.0009736147,0.0019332414,0.0025828162,0.0019608242,0.0076828734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008836278,0.00009604861,0.00064685545,0.0003096746,0.00006422107,0.00017912731,0.00027993156,0.08326677,0.03919525,0.2859343,0.018326767,0.57161266],"study_design_scores_gemma":[0.00003792476,0.00007294708,0.00025577703,0.000076074786,0.000027506308,0.00056740065,0.00006324192,0.6526973,0.020363854,0.09002887,0.23575386,0.000055204153],"about_ca_topic_score_codex":0.0007129224,"about_ca_topic_score_gemma":0.00082411966,"teacher_disagreement_score":0.013759575,"about_ca_system_score_codex":0.00037656337,"about_ca_system_score_gemma":0.00082258345,"threshold_uncertainty_score":0.046030402},"labels":[],"label_agreement":null},{"id":"W4250702940","doi":"10.1145/566654.566621","title":"DyRT","year":2002,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Animation; Computer graphics (images); Rendering (computer graphics); Modal; Computer animation; Graphics; Process (computing)","score_opus":0.02981259858387757,"score_gpt":0.21130671342008384,"score_spread":0.18149411483620626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250702940","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058635194,0.00091779017,0.8368926,0.00039140787,0.00068507204,0.00021137216,0.0034932112,0.044594016,0.106951095],"genre_scores_gemma":[0.14048678,0.002438013,0.6001889,0.0009807306,0.00023655429,0.00081517966,0.02133145,0.022794629,0.21072778],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936086,0.00008763715,0.000042282434,0.00014491854,0.00030091457,0.00006341428],"domain_scores_gemma":[0.9996644,0.000058166606,0.00002161942,0.00012275248,0.00010223063,0.000030893843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004763971,0.0009379207,0.000721338,0.00061750895,0.00052229676,0.0017235844,0.0018926268,0.0009909964,0.09018474],"category_scores_gemma":[0.0014483264,0.00045374248,0.00075194775,0.0004797022,0.0003661961,0.0014949362,0.0022021742,0.0012095574,0.04657741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007131195,0.00016777827,0.002017366,0.00081805995,0.00012606703,0.00071410905,0.00037187256,0.0712042,0.036977652,0.20879091,0.1882247,0.48987415],"study_design_scores_gemma":[0.00010966505,0.000112568334,0.00037129823,0.000072281364,0.000032945136,0.0007655056,0.000053085452,0.23867345,0.025636248,0.015723154,0.7183854,0.00006441443],"about_ca_topic_score_codex":0.0024263011,"about_ca_topic_score_gemma":0.0024294215,"teacher_disagreement_score":0.09018474,"about_ca_system_score_codex":0.0005719308,"about_ca_system_score_gemma":0.00071349,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4251234013","doi":"10.1145/1833351.1778784","title":"Matching fluid simulation elements to surface geometry and topology","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voronoi diagram; Polygon mesh; Interpolation (computer graphics); Delaunay triangulation; Surface (topology); Topology (electrical circuits); Computer science; Geometry processing; Geometry; Bowyer–Watson algorithm; Mesh generation; Algorithm; Computational science; Mathematics; Computer graphics (images); Finite element method; Computer vision; Physics; Motion (physics)","score_opus":0.020507625385617408,"score_gpt":0.3162636864741508,"score_spread":0.2957560610885334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251234013","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006443133,0.000019671614,0.9922638,0.000035073797,0.000017114531,0.000034532626,0.000041442352,0.00030314684,0.0008421124],"genre_scores_gemma":[0.2720681,0.00016677532,0.72428125,0.000062400504,0.00003248714,0.0002647118,0.00032974186,0.00055962504,0.002234892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912626,0.00015926176,0.000044611083,0.00010857125,0.00048361463,0.000077663004],"domain_scores_gemma":[0.9990963,0.00031090557,0.000080774495,0.00023042003,0.00021452206,0.00006712528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074895273,0.00054270896,0.0008073158,0.0010474016,0.000541455,0.0018112693,0.0016841062,0.001106932,0.0027639896],"category_scores_gemma":[0.0065374905,0.0006305463,0.000596216,0.0007735751,0.0010200342,0.001586465,0.0025287082,0.000997895,0.001031336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056159457,0.0000433003,0.00078239955,0.00006027984,0.000016836673,0.00009477483,0.00017414727,0.86940515,0.016800756,0.0749071,0.000670502,0.036988534],"study_design_scores_gemma":[0.000008121684,0.000012984332,0.00008708664,0.000005520957,0.0000024192807,0.000026130654,0.000022254466,0.97442067,0.0055813217,0.015242043,0.0045823567,0.00000909504],"about_ca_topic_score_codex":0.0036339022,"about_ca_topic_score_gemma":0.0023246915,"teacher_disagreement_score":0.0036339022,"about_ca_system_score_codex":0.0008619916,"about_ca_system_score_gemma":0.0012911378,"threshold_uncertainty_score":0.009246469},"labels":[],"label_agreement":null},{"id":"W4251259970","doi":"10.1145/1239451.1239551","title":"A fast variational framework for accurate solid-fluid coupling","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coupling (piping); Projection (relational algebra); Computer science; Regular grid; Flow (mathematics); Cartesian coordinate system; Grid; Fluid dynamics; Boundary (topology); Boundary value problem; Projection method; Mathematical optimization; Geometry; Mechanics; Algorithm; Mathematics; Physics; Mathematical analysis; Mechanical engineering; Dykstra's projection algorithm","score_opus":0.03801446439308842,"score_gpt":0.34436875409719836,"score_spread":0.30635428970410994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251259970","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027765862,0.000091156166,0.9948447,0.00009854856,0.000035888832,0.000020173207,0.000028426111,0.00009347526,0.0020110437],"genre_scores_gemma":[0.32039252,0.00065276644,0.6632074,0.00021059104,0.00017959322,0.0003919184,0.00024793795,0.0006620739,0.014055221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994573,0.00016284591,0.000022559561,0.0000665975,0.00023552617,0.00005517821],"domain_scores_gemma":[0.99927634,0.00033565777,0.00005916028,0.000105520034,0.00013998852,0.000083350715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013467906,0.0008131709,0.0008681861,0.0007018483,0.0007587192,0.0010599172,0.0016871466,0.0014093468,0.0038982246],"category_scores_gemma":[0.0028093355,0.0006333086,0.0009364073,0.00048547526,0.0014181918,0.0014805954,0.0027629845,0.0018080315,0.0008083169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001775033,0.000019778976,0.00014416767,0.00005133922,0.000016903257,0.00005641135,0.00007499163,0.5793899,0.005271299,0.40351918,0.0008547382,0.01058345],"study_design_scores_gemma":[0.0000037552938,0.000007687556,0.000016791935,0.0000028568552,0.0000015541119,0.000008338399,0.000004648442,0.964148,0.00035211944,0.034189247,0.0012603432,0.0000047422177],"about_ca_topic_score_codex":0.003473558,"about_ca_topic_score_gemma":0.0026877783,"teacher_disagreement_score":0.0038982246,"about_ca_system_score_codex":0.0011383947,"about_ca_system_score_gemma":0.0014861135,"threshold_uncertainty_score":0.0130409},"labels":[],"label_agreement":null},{"id":"W4251444399","doi":"10.1145/1276377.1276426","title":"Ldr2Hdr","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dolby (Canada); University of British Columbia","funders":"","keywords":"Computer science; High dynamic range; Computer graphics (images); Robustness (evolution); Video processing; Fidelity; Graphics; Dynamic range; Emphasis (telecommunications); Artificial intelligence; Computer vision; Telecommunications","score_opus":0.01901070370005295,"score_gpt":0.2775036654296376,"score_spread":0.2584929617295847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251444399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047484275,0.0022522165,0.46346238,0.0011656332,0.0014721212,0.00032959142,0.005069737,0.05276073,0.4260033],"genre_scores_gemma":[0.3432783,0.00096255663,0.22036217,0.0020177544,0.00047831808,0.00029787674,0.009235795,0.0037953015,0.41957197],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995146,0.0000530629,0.000020253277,0.00012357491,0.00022219501,0.00006632388],"domain_scores_gemma":[0.99963284,0.00004074516,0.0000201134,0.000151835,0.00012067062,0.00003374521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039134707,0.0004744484,0.0004147425,0.0008255454,0.00057357096,0.001216684,0.00084962,0.0008020267,0.08613322],"category_scores_gemma":[0.0006951493,0.00023180972,0.00027838108,0.00063398527,0.00023742986,0.00095335284,0.0011416886,0.00062188576,0.044508234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067690224,0.00014410637,0.0015185231,0.00042410652,0.000041794847,0.0005235476,0.00018245178,0.0025490161,0.19067247,0.030100498,0.1745766,0.59859],"study_design_scores_gemma":[0.00010067307,0.00019750117,0.0024935496,0.000042534095,0.00003863496,0.0015171786,0.000095636206,0.031197848,0.16265003,0.00402474,0.79755557,0.000086069675],"about_ca_topic_score_codex":0.00079883117,"about_ca_topic_score_gemma":0.0012067253,"teacher_disagreement_score":0.08613322,"about_ca_system_score_codex":0.00042113345,"about_ca_system_score_gemma":0.0003284186,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4251770880","doi":"10.1145/2070781.2024158","title":"Shape space exploration of constrained meshes","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Österreichische Forschungsförderungsgesellschaft; Austrian Science Fund","keywords":"Polygon mesh; Parameterized complexity; Tangent space; Linear subspace; Context (archaeology); Computer science; Face (sociological concept); Mathematics; Planar; Tangent; Surface (topology); Dimension (graph theory); Space (punctuation); Topology (electrical circuits); Algorithm; Mathematical optimization; Geometry; Computer graphics (images); Pure mathematics; Combinatorics","score_opus":0.058292716128268425,"score_gpt":0.23188988344750786,"score_spread":0.17359716731923944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251770880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06680491,0.000083222825,0.9305684,0.00007800589,0.000007582103,0.00002972477,0.00008686333,0.0003591698,0.001982103],"genre_scores_gemma":[0.6844415,0.00014938386,0.31255442,0.000054221895,0.000012749172,0.00012885396,0.0002690718,0.00020411365,0.0021857335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995461,0.00012048147,0.000025357846,0.00008777091,0.00017318386,0.000047124784],"domain_scores_gemma":[0.9990263,0.00048655758,0.00008464873,0.00025278534,0.00010000632,0.00004963341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063548825,0.0005510702,0.00083889894,0.00067298015,0.00043609532,0.0012979548,0.0009946912,0.00085393625,0.0021784552],"category_scores_gemma":[0.0035589407,0.00040682548,0.0008285117,0.0005136418,0.0009414447,0.0016921704,0.0022953346,0.0007379719,0.00032507646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013417732,0.000040230552,0.0014006955,0.000106365114,0.000025724285,0.00013869253,0.00037932053,0.87576723,0.014075307,0.05667786,0.00059721293,0.050657194],"study_design_scores_gemma":[0.0000060198176,0.00003050598,0.00015204554,0.000007860012,0.0000027469493,0.000034491666,0.00003954689,0.9761747,0.0015916573,0.021021497,0.00093128794,0.0000076121282],"about_ca_topic_score_codex":0.0019261661,"about_ca_topic_score_gemma":0.0021373497,"teacher_disagreement_score":0.0021784552,"about_ca_system_score_codex":0.0005755967,"about_ca_system_score_gemma":0.00053565874,"threshold_uncertainty_score":0.007287681},"labels":[],"label_agreement":null},{"id":"W4251944521","doi":"10.1145/2070781.2024160","title":"Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pattern recognition (psychology); Cluster analysis; Set (abstract data type); Spectral clustering; Artificial intelligence; Segmentation; Pairwise comparison; Computer science; Cardinality (data modeling); Mathematics; Feature (linguistics); Space (punctuation); Data mining","score_opus":0.06494722844079127,"score_gpt":0.27880044665682535,"score_spread":0.2138532182160341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251944521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020607637,0.000091180926,0.97726643,0.000066814704,0.000016495333,0.00007601469,0.000083243795,0.0009124382,0.00087969983],"genre_scores_gemma":[0.20800821,0.00013665583,0.7885551,0.00007924344,0.000035426576,0.00020975416,0.0008879187,0.0004007336,0.0016869567],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809843,0.0002569176,0.00011148552,0.00053964194,0.000735074,0.00025848486],"domain_scores_gemma":[0.99733526,0.00078505825,0.0003095618,0.0007119973,0.0007300986,0.00012793865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013730355,0.0011370281,0.0020133962,0.0047564097,0.0012537822,0.0022191217,0.0023843858,0.0019177456,0.001408635],"category_scores_gemma":[0.0043098214,0.0007960795,0.0020137785,0.0044750688,0.0020460803,0.002037278,0.0028190596,0.0016752253,0.0014788841],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004323404,0.0003715948,0.0048161787,0.00029604457,0.00024923854,0.00035782694,0.0012881316,0.24674137,0.108497635,0.025705334,0.0058286297,0.60541564],"study_design_scores_gemma":[0.000012775346,0.000044302316,0.0014471051,0.000015366217,0.000027349757,0.00020030484,0.00018649554,0.96120894,0.01727046,0.016611796,0.0029332382,0.00004189354],"about_ca_topic_score_codex":0.0052977046,"about_ca_topic_score_gemma":0.007383167,"teacher_disagreement_score":0.0052977046,"about_ca_system_score_codex":0.001158397,"about_ca_system_score_gemma":0.0018283459,"threshold_uncertainty_score":0.01053369},"labels":[],"label_agreement":null},{"id":"W4252405433","doi":"10.1145/2010324.1964947","title":"GlobFit","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Seventh Framework Programme; National Natural Science Foundation of China","keywords":"RANSAC; Robustness (evolution); Outlier; Computer science; Ground truth; Set (abstract data type); Algorithm; Geometric primitive; Object (grammar); Noise (video); Global optimization; Artificial intelligence; Image (mathematics)","score_opus":0.03453351065816071,"score_gpt":0.20550940596101297,"score_spread":0.17097589530285226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252405433","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004194953,0.0006486742,0.7287468,0.0006121783,0.00051879464,0.00020741674,0.016080609,0.22569697,0.023293613],"genre_scores_gemma":[0.07572224,0.0012252743,0.700135,0.0009830907,0.00023495221,0.0009638756,0.10751069,0.07068287,0.042542],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989189,0.00015749765,0.000055286244,0.00032868996,0.00041761048,0.00012206277],"domain_scores_gemma":[0.99917245,0.00016525098,0.00004384239,0.00037604632,0.00019109489,0.00005139846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012590578,0.0022543643,0.0017252062,0.0023502703,0.0010707419,0.003727928,0.0048345714,0.0028449704,0.09388204],"category_scores_gemma":[0.004221545,0.0012570693,0.002747958,0.0024625233,0.00080759166,0.002987812,0.005084664,0.0024268494,0.065171316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004907045,0.00017788843,0.002937597,0.0011600114,0.00047255668,0.00048534348,0.00042777788,0.08350864,0.0068435688,0.04953001,0.45515585,0.3988101],"study_design_scores_gemma":[0.00018583836,0.00010105041,0.0012231026,0.00018873104,0.00006656927,0.00063081185,0.0002576058,0.44818893,0.0099472385,0.0720919,0.46698898,0.0001292192],"about_ca_topic_score_codex":0.0044824546,"about_ca_topic_score_gemma":0.0077359485,"teacher_disagreement_score":0.09388204,"about_ca_system_score_codex":0.0009179736,"about_ca_system_score_gemma":0.0014125368,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4252634360","doi":"10.1145/1833351.1781156","title":"Generalized biped walking control","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Computer science; Inverted pendulum; Gait; Trajectory; Character (mathematics); Realization (probability); Simulation; Motion (physics); Pendulum; Control (management); Artificial intelligence; Mathematics; Engineering; Physical medicine and rehabilitation","score_opus":0.008703339972455863,"score_gpt":0.21283470216061218,"score_spread":0.2041313621881563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252634360","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032209978,0.00038139045,0.95180374,0.00009471665,0.000107424385,0.00008592509,0.000114248236,0.0019986497,0.013203952],"genre_scores_gemma":[0.8640851,0.00042788507,0.1251653,0.00012319129,0.00004925685,0.00020670755,0.00027093955,0.00015064319,0.009521062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998363,0.000027701235,0.000009297247,0.00004303499,0.000064089545,0.00001944243],"domain_scores_gemma":[0.99988484,0.00001883776,0.00001362289,0.000034652043,0.000033544555,0.00001458977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507477,0.0006789219,0.00048185198,0.00026655386,0.00028699223,0.0005952666,0.00065829174,0.0003846551,0.003233139],"category_scores_gemma":[0.00043320673,0.00017044059,0.00034174227,0.0002430787,0.00043485535,0.0003908607,0.0009230825,0.00041620378,0.0005878329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019722313,0.000074661286,0.0004942541,0.0005147626,0.00008374779,0.00046641994,0.00029796961,0.5523722,0.07126374,0.04394938,0.004650994,0.3256346],"study_design_scores_gemma":[0.00004796144,0.00022083311,0.0005728052,0.000034280314,0.000021797838,0.00013214634,0.000023222892,0.97225314,0.0039297,0.012412124,0.01032745,0.000024622008],"about_ca_topic_score_codex":0.0018137782,"about_ca_topic_score_gemma":0.0018169398,"teacher_disagreement_score":0.003233139,"about_ca_system_score_codex":0.00016623712,"about_ca_system_score_gemma":0.00025731858,"threshold_uncertainty_score":0.010815918},"labels":[],"label_agreement":null},{"id":"W4253344637","doi":"10.1145/2185520.2335408","title":"Fit and diverse","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Crossover; Set (abstract data type); Population; Computer science; Diversity (politics); Fitness landscape; Artificial intelligence","score_opus":0.03268224356594958,"score_gpt":0.23773416012936172,"score_spread":0.20505191656341215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253344637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15653695,0.00093673076,0.7934935,0.0014156757,0.00026129713,0.00013193075,0.000259593,0.001015451,0.045948904],"genre_scores_gemma":[0.80316603,0.0005700094,0.1788089,0.0010222744,0.000098928635,0.00025427665,0.0005707408,0.00053848856,0.014970507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983182,0.00037539157,0.000078928046,0.00038623146,0.00067665405,0.00016460894],"domain_scores_gemma":[0.99754626,0.00090565433,0.00018006226,0.0007613011,0.00037017482,0.00023649627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013029577,0.00075007166,0.00081431,0.0010891425,0.0012737681,0.0022436331,0.0015249874,0.0016675655,0.0061706235],"category_scores_gemma":[0.007782848,0.00045396094,0.0010806596,0.000700047,0.0016499253,0.0029059264,0.0038757608,0.0018011634,0.0013419917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002894956,0.00031612342,0.012794469,0.00036685736,0.00031692078,0.0015630191,0.0021502513,0.21197072,0.071224414,0.38671875,0.010932419,0.30135655],"study_design_scores_gemma":[0.00009377875,0.00071703224,0.0045479415,0.0001417664,0.00019406037,0.0048976294,0.00067600654,0.5034305,0.02430449,0.37819484,0.08260645,0.00019546792],"about_ca_topic_score_codex":0.00056305435,"about_ca_topic_score_gemma":0.0007060879,"teacher_disagreement_score":0.0061706235,"about_ca_system_score_codex":0.0006318399,"about_ca_system_score_gemma":0.00053642667,"threshold_uncertainty_score":0.020642817},"labels":[],"label_agreement":null},{"id":"W4253394173","doi":"10.1145/2010324.1964954","title":"Locomotion skills for simulated quadrupeds","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Workspace; Kinematics; Morphing; Simulation; LEAPS; Motion capture; Robustness (evolution); Gait; Control theory (sociology); Motion (physics); Robot; Artificial intelligence; Physical medicine and rehabilitation; Physics; Control (management)","score_opus":0.03572435866517101,"score_gpt":0.24057625294699564,"score_spread":0.20485189428182463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253394173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8097544,0.00006408726,0.18076752,0.000118222386,0.000041932122,0.00026197982,0.0005921987,0.0010108321,0.0073889624],"genre_scores_gemma":[0.9473291,0.00007145728,0.049874466,0.00004433939,0.0000046064165,0.00023801358,0.00066903734,0.00007544659,0.0016935123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991775,0.000019092937,0.0000058311016,0.000014648599,0.00002941937,0.000013212796],"domain_scores_gemma":[0.9997801,0.000073892435,0.000022835951,0.000037114478,0.00004777693,0.000038221944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001518218,0.00042624606,0.00031342724,0.0003816989,0.00023625111,0.00038076396,0.00065071974,0.00048414318,0.002601105],"category_scores_gemma":[0.00081382087,0.00023611916,0.00034332767,0.0001153099,0.00038488564,0.00031837146,0.00064656895,0.00035326814,0.0002717934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000893866,0.00016679561,0.0024387152,0.00009175032,0.000038076243,0.0001574224,0.00014719885,0.9556844,0.025470931,0.002168937,0.00060694234,0.012939376],"study_design_scores_gemma":[0.00002850317,0.00015477385,0.001030881,0.000010282995,0.0000076024353,0.0000486268,0.000041513016,0.9936638,0.002994688,0.0010728871,0.000937501,0.00000887971],"about_ca_topic_score_codex":0.003059589,"about_ca_topic_score_gemma":0.0026925784,"teacher_disagreement_score":0.003059589,"about_ca_system_score_codex":0.00031105828,"about_ca_system_score_gemma":0.0003353332,"threshold_uncertainty_score":0.0087016225},"labels":[],"label_agreement":null},{"id":"W4255511310","doi":"10.1145/1239451.1239556","title":"SIMBICON","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Underactuation; Kinematics; Control theory (sociology); Robustness (evolution); Computer science; Parameterized complexity; Torque; Control engineering; Control (management); Artificial intelligence; Engineering; Algorithm; Physics","score_opus":0.01128577810999702,"score_gpt":0.22085875508982217,"score_spread":0.20957297697982516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255511310","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011302102,0.003408329,0.24593292,0.0020664912,0.0027565989,0.00049609883,0.010170337,0.09963839,0.6242288],"genre_scores_gemma":[0.1552572,0.0033363702,0.1636511,0.0018428218,0.000630905,0.00090317003,0.02891384,0.018405408,0.6270592],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993924,0.00008355149,0.000027464499,0.00015370622,0.00026678914,0.00007607646],"domain_scores_gemma":[0.99942786,0.000078970814,0.000028192946,0.00016599237,0.00017438974,0.00012451144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572787,0.0012411269,0.00085838843,0.0012380383,0.0009722122,0.002227031,0.0015093962,0.0012236714,0.27178285],"category_scores_gemma":[0.0014101088,0.00053323596,0.0006215548,0.0009602952,0.00056472287,0.0019056458,0.002599459,0.001399391,0.13667524],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077732385,0.00019953193,0.0011305811,0.0006780816,0.00006220115,0.00035624782,0.00020153116,0.009155889,0.01816497,0.06965269,0.41384742,0.48577356],"study_design_scores_gemma":[0.000139063,0.00010679132,0.00047119078,0.0000869957,0.000020683101,0.00025854164,0.000048184454,0.03375517,0.009301283,0.01885936,0.936911,0.000041841187],"about_ca_topic_score_codex":0.0018262542,"about_ca_topic_score_gemma":0.0023328953,"teacher_disagreement_score":0.27178285,"about_ca_system_score_codex":0.00080353254,"about_ca_system_score_gemma":0.0010460174,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4255938757","doi":"10.1145/882262.882291","title":"TreeJuxtaposer","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":183,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Texas at Austin; National Science Foundation","keywords":"Computer science; Visibility; Tree (set theory); Focus (optics); Node (physics); Visualization; Context (archaeology); Graph; Task (project management); Artificial intelligence; Theoretical computer science; Geography; Mathematics","score_opus":0.032123736241318944,"score_gpt":0.2892077405405375,"score_spread":0.25708400429921857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255938757","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024716068,0.0007366947,0.7295783,0.00046570596,0.0001930392,0.00019678126,0.006101108,0.22757667,0.010435627],"genre_scores_gemma":[0.1954057,0.00076247146,0.7486113,0.00040226773,0.00012005332,0.0006030219,0.014075022,0.029272774,0.010747394],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932766,0.00011192192,0.00004281444,0.00018211736,0.00025553157,0.000080020414],"domain_scores_gemma":[0.9976427,0.00095621357,0.00012477658,0.0007479137,0.00029283832,0.00023564401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010688448,0.00091598067,0.0013996337,0.001673338,0.00080780947,0.002878069,0.002522049,0.0013869809,0.022388602],"category_scores_gemma":[0.004737118,0.00076573616,0.0010906745,0.0013592202,0.00045449246,0.004169589,0.0037475633,0.0017490092,0.00581545],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002126173,0.00020330434,0.004421658,0.001147863,0.000345335,0.0006280312,0.001661392,0.008922183,0.053489573,0.025891133,0.25181943,0.6493439],"study_design_scores_gemma":[0.00041162985,0.0006717113,0.00866604,0.0002490723,0.00018901801,0.0022139307,0.00083013176,0.4190209,0.0865804,0.07849457,0.40225407,0.00041848273],"about_ca_topic_score_codex":0.0012670392,"about_ca_topic_score_gemma":0.0019060939,"teacher_disagreement_score":0.022388602,"about_ca_system_score_codex":0.00033580698,"about_ca_system_score_gemma":0.00064416154,"threshold_uncertainty_score":0.07489735},"labels":[],"label_agreement":null},{"id":"W4256179068","doi":"10.1145/1239451.1239480","title":"Image-guided maze construction","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Image (mathematics); Computer science; Path (computing); Set (abstract data type); Artificial intelligence; Style (visual arts); Computer vision; Theoretical computer science; Algorithm; Computer graphics (images); Programming language","score_opus":0.028243638802330506,"score_gpt":0.28800335679276806,"score_spread":0.25975971799043757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256179068","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005655634,0.000095056,0.9870293,0.00005448876,0.000028404891,0.00004926904,0.00007677861,0.0023029929,0.0047080396],"genre_scores_gemma":[0.0733027,0.00017308348,0.9205485,0.00006295796,0.000015724698,0.00014244669,0.00027027845,0.0007049038,0.0047792704],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995782,0.00008720153,0.000021383375,0.00009922836,0.00015595724,0.000058065703],"domain_scores_gemma":[0.9992817,0.00022736417,0.000058698864,0.00021413587,0.00015735078,0.000060769926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003707068,0.0014690044,0.00082876947,0.00088590576,0.000579377,0.00142178,0.0017613777,0.00078039727,0.011176528],"category_scores_gemma":[0.0019185196,0.0006413363,0.0012082729,0.00052861014,0.00077880593,0.0014652007,0.0022870197,0.0012006087,0.0026666564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036645256,0.00017331119,0.0011318012,0.00049884716,0.00009023815,0.0003382161,0.00068838283,0.14019252,0.08349354,0.08163236,0.018223383,0.6731709],"study_design_scores_gemma":[0.00011085602,0.00020909066,0.00044606114,0.0000851189,0.000053319774,0.0005028819,0.00014016642,0.80905324,0.06412082,0.066132754,0.059050072,0.00009553853],"about_ca_topic_score_codex":0.0012566659,"about_ca_topic_score_gemma":0.0020575672,"teacher_disagreement_score":0.011176528,"about_ca_system_score_codex":0.000552386,"about_ca_system_score_gemma":0.00050970155,"threshold_uncertainty_score":0.03738922},"labels":[],"label_agreement":null},{"id":"W4280629715","doi":"10.1145/3528223.3530088","title":"Photo-to-shape material transfer for diverse structures","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Translation (biology); Artificial intelligence; Segmentation; Projection (relational algebra); Computer vision; Similarity (geometry); Object (grammar); Consistency (knowledge bases); Key (lock); Image translation; Artificial neural network; Image (mathematics); Algorithm","score_opus":0.03127712441918111,"score_gpt":0.289015807711037,"score_spread":0.2577386832918559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280629715","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025808811,0.00017047586,0.95576805,0.00014217627,0.000100177174,0.00014642987,0.00022395236,0.010193836,0.0074460697],"genre_scores_gemma":[0.24297291,0.00019021051,0.745965,0.00022817904,0.000036415317,0.0001678461,0.0008101292,0.0018199185,0.007809344],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995664,0.000036911817,0.000014982465,0.00012784475,0.00022128747,0.00003261771],"domain_scores_gemma":[0.99948823,0.00011105746,0.000049328137,0.00022792269,0.000091101065,0.000032319283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005073415,0.001054696,0.00050238916,0.00091546366,0.0005134414,0.0010289816,0.0023764907,0.000984022,0.008764262],"category_scores_gemma":[0.0017133207,0.00064835657,0.001094371,0.0005185221,0.00082105753,0.001550511,0.0016190337,0.0013412596,0.0026441969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021866505,0.00021052852,0.0016622767,0.00039362413,0.00010447064,0.00035020508,0.00027211203,0.18941954,0.2136022,0.01788334,0.008265546,0.56761754],"study_design_scores_gemma":[0.000019357329,0.000081043305,0.00066677213,0.000018851766,0.000017849141,0.00028082367,0.000046846548,0.871019,0.107082486,0.009477968,0.011255751,0.00003327473],"about_ca_topic_score_codex":0.0017993135,"about_ca_topic_score_gemma":0.0034213464,"teacher_disagreement_score":0.008764262,"about_ca_system_score_codex":0.0009857514,"about_ca_system_score_gemma":0.000533602,"threshold_uncertainty_score":0.029319406},"labels":[],"label_agreement":null},{"id":"W4281629740","doi":"10.1145/3528223.3530100","title":"Piecewise-smooth surface fitting onto unstructured 3D sketches","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sketch; Piecewise; Computer science; Surface (topology); Ground truth; Set (abstract data type); Point (geometry); Algorithm; Computer graphics (images); Artificial intelligence; Geometry; Mathematics","score_opus":0.022482044527943598,"score_gpt":0.2678872734924943,"score_spread":0.2454052289645507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281629740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010142847,0.00005969995,0.9865085,0.000034762714,0.000024812725,0.00004426241,0.00006330311,0.0021279976,0.0009938707],"genre_scores_gemma":[0.219643,0.00027904095,0.7740772,0.00008122786,0.00003949596,0.00013055706,0.00069156435,0.0012903364,0.0037676427],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893206,0.00011201855,0.000054443844,0.00020167475,0.0006254611,0.0000744186],"domain_scores_gemma":[0.99818546,0.0005340295,0.00012948742,0.0007312556,0.0003405055,0.00007918058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073630153,0.0013889809,0.0011514594,0.0015412566,0.00036660946,0.0018679777,0.0014521609,0.0011641002,0.003900158],"category_scores_gemma":[0.0056293095,0.00084254483,0.0012403216,0.0013392594,0.0008510696,0.0015554664,0.0019969437,0.0018663859,0.0026751412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012190014,0.000084366045,0.0013249505,0.00026644632,0.00007908792,0.00033078526,0.0005171131,0.39302298,0.06795408,0.017475646,0.005392899,0.51342964],"study_design_scores_gemma":[0.000016191087,0.00005745047,0.00026698445,0.000017197835,0.000013149696,0.0002254289,0.00006706022,0.96973354,0.014435171,0.008218725,0.006922455,0.00002668886],"about_ca_topic_score_codex":0.0013244426,"about_ca_topic_score_gemma":0.0014820477,"teacher_disagreement_score":0.003900158,"about_ca_system_score_codex":0.00035657067,"about_ca_system_score_gemma":0.00063231314,"threshold_uncertainty_score":0.013047397},"labels":[],"label_agreement":null},{"id":"W4283078428","doi":"10.1145/3550454.3555519","title":"Gaussian Blue Noise","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Gaussian; Noise (video); Computer science; Gaussian noise; Selection (genetic algorithm); Sampling (signal processing); Mathematical optimization; Quality (philosophy); Algorithm; Current (fluid); Mathematics; Artificial intelligence; Physics; Telecommunications","score_opus":0.019458423531143285,"score_gpt":0.24419574382506865,"score_spread":0.22473732029392535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283078428","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011820883,0.000121666155,0.9808801,0.0002218269,0.00006273071,0.00003410037,0.000077905774,0.00065185176,0.006128956],"genre_scores_gemma":[0.43583742,0.00061586825,0.5355868,0.00085176737,0.00017297706,0.0002471396,0.0006075736,0.0010799665,0.025000526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991171,0.00018039122,0.000031488835,0.00016116344,0.00042613354,0.000083759085],"domain_scores_gemma":[0.99863845,0.0004713087,0.00013577257,0.00031881663,0.00032856196,0.000107140084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014541633,0.0010053272,0.0008794725,0.0010501682,0.0006179921,0.001849682,0.0014201076,0.0013936841,0.005348487],"category_scores_gemma":[0.005604979,0.00055822555,0.00067996955,0.0009416708,0.0017919375,0.002075495,0.0028265843,0.0015727497,0.0021633366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043658607,0.00012713583,0.001673512,0.00024522207,0.000076267715,0.00027952032,0.0002929546,0.4103171,0.056793526,0.43432677,0.008703579,0.08672771],"study_design_scores_gemma":[0.000024852945,0.00006128175,0.000358934,0.00003524667,0.000018539376,0.00019776994,0.000035756682,0.91008854,0.015944766,0.06446501,0.008737474,0.000031767067],"about_ca_topic_score_codex":0.0014358911,"about_ca_topic_score_gemma":0.001442006,"teacher_disagreement_score":0.005348487,"about_ca_system_score_codex":0.0011256502,"about_ca_system_score_gemma":0.00077550666,"threshold_uncertainty_score":0.01789242},"labels":[],"label_agreement":null},{"id":"W4283205064","doi":"10.1145/3544778","title":"ConTesse: Accurate Occluding Contours for Subdivision Surfaces","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Subdivision; Visibility; Rendering (computer graphics); Subdivision surface; Computer science; Computation; Triangle mesh; Computer vision; Computer graphics (images); Surface (topology); Polygon mesh; Artificial intelligence; Algorithm; Mathematics; Geometry; Geography","score_opus":0.02851351786543519,"score_gpt":0.2836836838026272,"score_spread":0.255170165937192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283205064","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069736,0.000068738926,0.99158394,0.00003050542,0.000020163525,0.000023544766,0.000019205594,0.00043277338,0.00084755913],"genre_scores_gemma":[0.18800975,0.000151154,0.8088795,0.000040176234,0.000038972947,0.00006260665,0.0001905554,0.0005895004,0.0020378178],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852777,0.00012979945,0.000053235,0.00014523532,0.001040907,0.0001030692],"domain_scores_gemma":[0.998706,0.0005091959,0.0001025173,0.00034037034,0.00027660988,0.00006541357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094652537,0.0006600894,0.00084067386,0.0014629351,0.00064679293,0.002197069,0.0016169415,0.0010981947,0.0029204004],"category_scores_gemma":[0.0075794784,0.00074859883,0.0009338933,0.0006222723,0.001265842,0.001999144,0.0023355724,0.00174588,0.00075283466],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004136997,0.00007079295,0.0029276884,0.0002847601,0.000065431086,0.00037415058,0.0013374272,0.20411913,0.09622201,0.20292878,0.004070356,0.4871858],"study_design_scores_gemma":[0.000029755573,0.000057289173,0.00042930793,0.000032480133,0.000012957326,0.00018116966,0.00007936802,0.9242712,0.019212019,0.04401364,0.011650218,0.000030687825],"about_ca_topic_score_codex":0.0024835262,"about_ca_topic_score_gemma":0.0030408767,"teacher_disagreement_score":0.0029204004,"about_ca_system_score_codex":0.00081496633,"about_ca_system_score_gemma":0.0007528462,"threshold_uncertainty_score":0.009769678},"labels":[],"label_agreement":null},{"id":"W4286611057","doi":"10.1145/3528223.3530155","title":"Spelunking the deep","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Division of Mathematical Sciences; Vector Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fields Institute for Research in Mathematical Sciences","keywords":"Computer science; Rendering (computer graphics); Artificial neural network; Affine transformation; Robustness (evolution); Range (aeronautics); Property (philosophy); ENCODE; Geometric primitive; Inverse; Algorithm; Theoretical computer science; Artificial intelligence; Mathematics; Geometry","score_opus":0.015202792060973738,"score_gpt":0.2101381326939137,"score_spread":0.19493534063293996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611057","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030345604,0.00027525373,0.95729256,0.0003794864,0.00010387327,0.000038313774,0.00022788951,0.0022068566,0.0091302935],"genre_scores_gemma":[0.61046344,0.00054027705,0.36537245,0.00049990794,0.00011760818,0.00015565196,0.00082076143,0.0010046335,0.021025248],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993593,0.000074618045,0.000039522758,0.00015330924,0.0002853313,0.00008794041],"domain_scores_gemma":[0.99893016,0.0003641237,0.00008293797,0.00036242523,0.00021677311,0.000043628737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072473014,0.00097538246,0.0007929014,0.0005652315,0.0005232485,0.0019400276,0.0016443799,0.0010959243,0.0077611385],"category_scores_gemma":[0.0044067856,0.00043647294,0.00061658863,0.0006483575,0.0014540906,0.004055004,0.002426937,0.0020938723,0.0017605234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035258176,0.000079798505,0.0011947622,0.00022529214,0.000049228864,0.00022324001,0.00021023263,0.36332655,0.023467494,0.17245337,0.010213191,0.42820418],"study_design_scores_gemma":[0.000012563699,0.0000669732,0.00016032165,0.000022808379,0.00001078692,0.000052868265,0.000027694346,0.91956455,0.012438889,0.06262846,0.0050023035,0.000011859663],"about_ca_topic_score_codex":0.0047793323,"about_ca_topic_score_gemma":0.0077512925,"teacher_disagreement_score":0.0077611385,"about_ca_system_score_codex":0.001232541,"about_ca_system_score_gemma":0.0011502282,"threshold_uncertainty_score":0.025963664},"labels":[],"label_agreement":null},{"id":"W4286611073","doi":"10.1145/3528223.3530095","title":"Regression-based Monte Carlo integration","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; École de Technologie Supérieure; McGill University","funders":"","keywords":"Monte Carlo method; Monte Carlo integration; Estimator; Applied mathematics; Mathematics; Quasi-Monte Carlo method; Hybrid Monte Carlo; Computer science; Mathematical optimization; Calculus (dental); Algorithm; Markov chain Monte Carlo; Statistics","score_opus":0.0694426821771492,"score_gpt":0.322860902440204,"score_spread":0.25341822026305477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020242806,0.00014976527,0.9949877,0.00009995069,0.000036837264,0.000034582838,0.000035622783,0.00061014405,0.002021168],"genre_scores_gemma":[0.22065642,0.0005227393,0.7690054,0.00037733835,0.00019038671,0.0003136409,0.00037035666,0.0012915793,0.007272059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99589753,0.0015845987,0.00018429884,0.00060688605,0.0014842544,0.00024252833],"domain_scores_gemma":[0.9891265,0.0070027877,0.0006641367,0.0014219119,0.0016071718,0.00017758335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006205684,0.0009447892,0.0014989667,0.0016193597,0.000691082,0.002334807,0.0027641905,0.0015825988,0.00810564],"category_scores_gemma":[0.036693394,0.00067635416,0.0010064212,0.0013993045,0.001590321,0.0027070362,0.002118633,0.003071333,0.0019292937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015398329,0.00009630241,0.0019802258,0.00021071051,0.000112111484,0.00010600603,0.00014738519,0.5481645,0.0036468639,0.3330941,0.0041566775,0.10813112],"study_design_scores_gemma":[0.000011409162,0.000015299123,0.00017537078,0.000024661706,0.000013887591,0.000029993504,0.000008641227,0.961126,0.0015135058,0.03424837,0.0028177637,0.0000150502165],"about_ca_topic_score_codex":0.004976722,"about_ca_topic_score_gemma":0.004675363,"teacher_disagreement_score":0.00810564,"about_ca_system_score_codex":0.0017646687,"about_ca_system_score_gemma":0.0021165058,"threshold_uncertainty_score":0.032819152},"labels":[],"label_agreement":null},{"id":"W4286611080","doi":"10.1145/3528223.3530097","title":"Detecting viewer-perceived intended vector sketch connectivity","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sketch; Computer science; Artificial intelligence; Classifier (UML); Perception; Context (archaeology); Computer vision; Machine learning; Pattern recognition (psychology); Algorithm","score_opus":0.07839181284275379,"score_gpt":0.3191462927959925,"score_spread":0.2407544799532387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5117662,0.0005707076,0.47441646,0.00014032016,0.000092357244,0.00026080912,0.0009257135,0.0042535844,0.007573922],"genre_scores_gemma":[0.88823223,0.00024049141,0.10938763,0.000047916754,0.000024654966,0.000080075064,0.0005362644,0.00036039535,0.0010903359],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992099,0.00012745336,0.000037350346,0.00028861655,0.0002728231,0.000063874686],"domain_scores_gemma":[0.99635774,0.0017315304,0.00050584495,0.00045300619,0.00074971514,0.00020211976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009991789,0.00067763356,0.00068981893,0.0011834708,0.0002089259,0.0020468214,0.0006484125,0.00091090833,0.0041500293],"category_scores_gemma":[0.012667627,0.00033021317,0.00043991086,0.00046016093,0.00041368665,0.002044704,0.0014144374,0.0007421556,0.001124525],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016831212,0.00018522209,0.043076243,0.0010461856,0.00016009035,0.00076997123,0.0020151401,0.02411049,0.36952356,0.004905415,0.0045746258,0.5479499],"study_design_scores_gemma":[0.00012404265,0.0013563074,0.1547796,0.0002417808,0.0002596184,0.0025756941,0.001703401,0.6389744,0.17994994,0.009801517,0.010050215,0.00018349227],"about_ca_topic_score_codex":0.00066485716,"about_ca_topic_score_gemma":0.0011434447,"teacher_disagreement_score":0.0041500293,"about_ca_system_score_codex":0.00025801576,"about_ca_system_score_gemma":0.00028217607,"threshold_uncertainty_score":0.013883233},"labels":[],"label_agreement":null},{"id":"W4286611163","doi":"10.1145/3528223.3530109","title":"A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Multigrid method; Solver; Discretization; Multiphysics; Applied mathematics; Computer science; Computational science; Octree; Mathematics; Algorithm; Mathematical optimization; Partial differential equation; Finite element method; Mathematical analysis; Physics","score_opus":0.024543896085564863,"score_gpt":0.30394454673326887,"score_spread":0.27940065064770403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010677027,0.00016950443,0.9838086,0.000101227786,0.000061685336,0.000043293287,0.00013351814,0.002306673,0.0026984978],"genre_scores_gemma":[0.17594424,0.00026387084,0.81977594,0.00009342084,0.000067489724,0.00020156302,0.00055365986,0.000928782,0.0021710794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997068,0.00006795032,0.000011211382,0.000030067375,0.00014911148,0.00003487693],"domain_scores_gemma":[0.99967813,0.00008011355,0.000025279456,0.00007736524,0.00009590293,0.0000432411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004165878,0.00048909173,0.00057268655,0.0004383737,0.0007113964,0.00070150685,0.0013296778,0.0006446228,0.0024553312],"category_scores_gemma":[0.0010087144,0.0002884722,0.00074741914,0.0006853859,0.00045630176,0.0007088988,0.0012453449,0.0013655552,0.00075393025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011355957,0.00014761859,0.0016087444,0.00016733233,0.00009065309,0.00021169659,0.0002940668,0.69380456,0.029847585,0.114904426,0.013635377,0.14517431],"study_design_scores_gemma":[0.000012095204,0.000010652562,0.0001087398,0.000004016845,0.0000035622525,0.000021236043,0.0000063356774,0.98925203,0.0015369812,0.0043153875,0.004721521,0.00000746959],"about_ca_topic_score_codex":0.0062532155,"about_ca_topic_score_gemma":0.007598609,"teacher_disagreement_score":0.0062532155,"about_ca_system_score_codex":0.00048880785,"about_ca_system_score_gemma":0.00129201,"threshold_uncertainty_score":0.012433648},"labels":[],"label_agreement":null},{"id":"W4286611169","doi":"10.1145/3528223.3530111","title":"Perception of letter glyph parameters for InfoTypography","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Glyph (data visualization); Font; Computer science; Visualization; Range (aeronautics); Sentence; Typography; Perception; Natural language processing; Artificial intelligence; Interval (graph theory); Chinese characters; Information retrieval; Mathematics","score_opus":0.03172951379207583,"score_gpt":0.2858545176409286,"score_spread":0.2541250038488528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9337534,0.0006097581,0.038274806,0.00040691922,0.00016161219,0.00015589492,0.00042967824,0.0009876097,0.025220282],"genre_scores_gemma":[0.98558587,0.00011027703,0.012811639,0.000078697354,0.000017011836,0.000056544875,0.00018514377,0.00024699222,0.0009078623],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99810153,0.0009192604,0.00017378185,0.00024700348,0.00047510426,0.000083291794],"domain_scores_gemma":[0.97174114,0.01936438,0.0023166966,0.0022526581,0.003289874,0.0010351969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020251214,0.00050707994,0.0002613602,0.0009289436,0.00056530157,0.0039131264,0.00039777526,0.0007540531,0.0047921482],"category_scores_gemma":[0.04161565,0.00019159217,0.00028006302,0.00056798576,0.00072609197,0.0023252545,0.0013031823,0.00060625223,0.00088268536],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006403996,0.00039707933,0.1543964,0.0021864506,0.00019707842,0.0013921625,0.038886808,0.00961417,0.35319066,0.018271813,0.011894518,0.40316886],"study_design_scores_gemma":[0.00037765887,0.0027745282,0.5914565,0.0017233065,0.00048069723,0.005817536,0.05324662,0.0637016,0.15163834,0.03667637,0.09104838,0.0010585495],"about_ca_topic_score_codex":0.00072718365,"about_ca_topic_score_gemma":0.00057986897,"teacher_disagreement_score":0.0047921482,"about_ca_system_score_codex":0.0006160617,"about_ca_system_score_gemma":0.00031023522,"threshold_uncertainty_score":0.016031325},"labels":[],"label_agreement":null},{"id":"W4286611174","doi":"10.1145/3528223.3530146","title":"Ecoclimates","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Vegetation (pathology); Microclimate; Environmental science; Climate change; Atmosphere (unit); Ecosystem; Physical geography; Scale (ratio); Climatology; Ecology; Meteorology; Geography; Geology; Cartography","score_opus":0.008166944582434133,"score_gpt":0.21090741593744272,"score_spread":0.20274047135500858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057139706,0.002997559,0.5541954,0.0017175974,0.0011745429,0.0004989923,0.09232927,0.012785414,0.27716145],"genre_scores_gemma":[0.5974208,0.0031762954,0.28602457,0.00085651805,0.00028300617,0.0009567869,0.05720283,0.0057049687,0.048374202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99959403,0.00013268039,0.000024447743,0.00012292611,0.000083735,0.000042216016],"domain_scores_gemma":[0.9994373,0.00013425866,0.000046846155,0.00015432121,0.00016211208,0.000065129454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003972699,0.00069912756,0.00041051165,0.0010339505,0.00055678154,0.001928429,0.0010457878,0.00076431094,0.040565442],"category_scores_gemma":[0.0021525219,0.00036715216,0.00083719013,0.0021933913,0.0004690856,0.0018657598,0.0015098656,0.0010326446,0.009691835],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027862753,0.00014974186,0.033311244,0.0013982916,0.00024768818,0.0005559336,0.0020806466,0.21886699,0.0072490997,0.30049223,0.21149337,0.22387621],"study_design_scores_gemma":[0.00004667393,0.00003693994,0.015555767,0.00011694992,0.00004961061,0.0003026134,0.0004250774,0.057422347,0.001221441,0.06544667,0.85930717,0.000068732035],"about_ca_topic_score_codex":0.0079043815,"about_ca_topic_score_gemma":0.011935191,"teacher_disagreement_score":0.040565442,"about_ca_system_score_codex":0.00060401985,"about_ca_system_score_gemma":0.00087403494,"threshold_uncertainty_score":0.13570487},"labels":[],"label_agreement":null},{"id":"W4286611180","doi":"10.1145/3528223.3530098","title":"As-locally-uniform-as-possible reshaping of vector clip-art","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Computer science; Computation; Bounded function; Scale (ratio); Property (philosophy); Algorithm; Function (biology); Mathematical optimization; Mathematics; Mathematical analysis","score_opus":0.025272280715411356,"score_gpt":0.2923133524033385,"score_spread":0.2670410716879271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022182051,0.00009549884,0.966242,0.00010263064,0.00004614324,0.00006834791,0.00006261701,0.0018133725,0.009387197],"genre_scores_gemma":[0.49470782,0.0001844451,0.4943462,0.000181372,0.000052438,0.00011649822,0.00022532846,0.00086793985,0.009317958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970955,0.000043960306,0.000012777499,0.00006996509,0.00013170113,0.000032083688],"domain_scores_gemma":[0.9996364,0.00010316632,0.000030201876,0.00012575922,0.00007498741,0.000029520515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044624112,0.00077796966,0.00044727858,0.000361188,0.00041103657,0.0011852747,0.0010438552,0.00067942997,0.0058656665],"category_scores_gemma":[0.0016535241,0.00029375235,0.0004930475,0.00029466368,0.0006735518,0.0012243972,0.0008895429,0.0007852643,0.0010536506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021658717,0.00012127572,0.0010479257,0.00022127977,0.00007197467,0.0003510262,0.00034391036,0.5216527,0.090593375,0.043120522,0.008280727,0.33397862],"study_design_scores_gemma":[0.00001520018,0.00006167538,0.00023355648,0.0000102953,0.000010991653,0.00019800446,0.00004500955,0.9587244,0.027753837,0.0069867307,0.0059378827,0.000022456185],"about_ca_topic_score_codex":0.0019159456,"about_ca_topic_score_gemma":0.0040837466,"teacher_disagreement_score":0.0058656665,"about_ca_system_score_codex":0.0004897511,"about_ca_system_score_gemma":0.00047480135,"threshold_uncertainty_score":0.019622624},"labels":[],"label_agreement":null},{"id":"W4286611254","doi":"10.1145/3528223.3530057","title":"Learning to use chopsticks in diverse gripping styles","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Kinematics; Computer science; Artificial intelligence; Key (lock); Motion (physics); Reinforcement learning; Robotics; Trajectory; Task (project management); Robustness (evolution); Computer vision; Robot; Engineering","score_opus":0.03348677060890176,"score_gpt":0.2399105405411463,"score_spread":0.20642376993224454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31566975,0.0004296102,0.6684205,0.00019953918,0.00006502805,0.00017853975,0.00019354778,0.00858993,0.0062535764],"genre_scores_gemma":[0.8443769,0.00027316407,0.15111819,0.00018883792,0.000011459623,0.000100850695,0.0003028359,0.0002678732,0.0033598267],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997836,0.00001874425,0.000011286406,0.00011872676,0.000040486615,0.000027086664],"domain_scores_gemma":[0.99952936,0.00015272078,0.00008103927,0.00013101326,0.00004685521,0.000059102393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036905447,0.00096047367,0.00058318867,0.0002847201,0.00027174002,0.00060912524,0.0012034951,0.0007337386,0.0023508833],"category_scores_gemma":[0.0017415707,0.00059362303,0.0006105565,0.00020288808,0.0007986025,0.001345212,0.0012982386,0.00071129174,0.0007979357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027427377,0.00022523543,0.0068061743,0.00032745386,0.00011979745,0.0005001608,0.0003459334,0.3878353,0.15853053,0.0035960395,0.0023996753,0.43903944],"study_design_scores_gemma":[0.00003272245,0.0002777403,0.0031424472,0.00004202896,0.000034820212,0.00025222407,0.00009822706,0.957384,0.027248798,0.008364112,0.003086857,0.0000360532],"about_ca_topic_score_codex":0.0017239839,"about_ca_topic_score_gemma":0.0029729754,"teacher_disagreement_score":0.0023508833,"about_ca_system_score_codex":0.00034176634,"about_ca_system_score_gemma":0.0005526804,"threshold_uncertainty_score":0.007864535},"labels":[],"label_agreement":null},{"id":"W4286611260","doi":"10.1145/3528223.3530106","title":"Sketch2Pose","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Bitmap; Computer science; Character (mathematics); Sketch; Code (set theory); Key (lock); Artificial intelligence; Process (computing); Computer graphics (images); Software; Computer vision; Programming language; Algorithm","score_opus":0.016991473109958258,"score_gpt":0.21595246849771876,"score_spread":0.19896099538776052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611260","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005878123,0.000996092,0.7153686,0.00027494013,0.00047150068,0.00046411238,0.010812307,0.21987227,0.045862004],"genre_scores_gemma":[0.16072737,0.0021635233,0.6343534,0.000782908,0.00017359968,0.0009660062,0.045583885,0.0812118,0.07403761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910814,0.00009269205,0.000058060985,0.00023230443,0.00042818452,0.000080610924],"domain_scores_gemma":[0.9988765,0.00028508579,0.000055793,0.00050187274,0.00019140831,0.00008928357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007177524,0.0028138717,0.0011478006,0.0016499739,0.0006752905,0.0032820362,0.003060296,0.0014832838,0.18060125],"category_scores_gemma":[0.004581543,0.0013955156,0.0020250173,0.001241694,0.00061415724,0.0027596399,0.0043684775,0.0018318989,0.054317877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009586075,0.00016997672,0.0023832426,0.0020554636,0.00029988756,0.0005307117,0.0005938034,0.026254378,0.034541644,0.03200494,0.26422754,0.63597983],"study_design_scores_gemma":[0.00028390164,0.00022715368,0.0021861612,0.0002065057,0.00009042816,0.001637124,0.00025245617,0.2276378,0.05659895,0.02620065,0.6844684,0.00021043533],"about_ca_topic_score_codex":0.0019598773,"about_ca_topic_score_gemma":0.005244356,"teacher_disagreement_score":0.18060125,"about_ca_system_score_codex":0.00060864846,"about_ca_system_score_gemma":0.00060194696,"threshold_uncertainty_score":0.6041714},"labels":[],"label_agreement":null},{"id":"W4286611275","doi":"10.1145/3528223.3530138","title":"VEMPIC","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo; University of Toronto","funders":"Connaught Fund","keywords":"Polyhedron; Computer science; Mesh generation; Discretization; Boundary (topology); Finite element method; Manifold (fluid mechanics); Representation (politics); Function (biology); Topology (electrical circuits); Generalization; Mathematical optimization; Algorithm; Mathematics; Geometry; Mathematical analysis; Mechanical engineering","score_opus":0.027780076851068775,"score_gpt":0.2837483553985915,"score_spread":0.25596827854752274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286611275","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060170596,0.0043776147,0.13372478,0.0038103333,0.003915898,0.00048659413,0.009632098,0.06334763,0.77468795],"genre_scores_gemma":[0.08036639,0.005140848,0.09611429,0.0028510087,0.0012746,0.0007206107,0.030078987,0.01440295,0.7690504],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990004,0.00011621197,0.000043907257,0.00020377075,0.000498102,0.00013760956],"domain_scores_gemma":[0.9987865,0.00018194117,0.000051411444,0.00035575975,0.0003693422,0.0002550281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090616674,0.0012314176,0.00088011136,0.0019873977,0.0014608032,0.004672151,0.0027637004,0.0024928332,0.3998403],"category_scores_gemma":[0.0028358744,0.00062786153,0.0007165157,0.0013418666,0.00071192,0.003742973,0.0048091,0.002364029,0.21324548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005238555,0.0001392769,0.0008049816,0.0006618403,0.000034854736,0.00053405925,0.00022687453,0.003762347,0.008632655,0.05664688,0.5422515,0.38578093],"study_design_scores_gemma":[0.000050059745,0.000053589873,0.00025398348,0.000105983454,0.000011341238,0.00037963744,0.00004953342,0.0054929308,0.0031348376,0.008530023,0.98191124,0.000026872334],"about_ca_topic_score_codex":0.0016995376,"about_ca_topic_score_gemma":0.0016247566,"teacher_disagreement_score":0.3998403,"about_ca_system_score_codex":0.0008858602,"about_ca_system_score_gemma":0.0014019468,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4286616145","doi":"10.1145/3528223.3530124","title":"Adaptive rigidification of elastic solids","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Preconditioner; Rigid body; Cholesky decomposition; Conjugate gradient method; Norm (philosophy); Laplace operator; Hinge; Computer science; Mathematics; Algorithm; Mathematical analysis; Iterative method; Classical mechanics; Eigenvalues and eigenvectors; Physics","score_opus":0.02194013201948132,"score_gpt":0.2214973137667237,"score_spread":0.1995571817472424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286616145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020106314,0.00008784224,0.9726415,0.000082171166,0.000043002678,0.000043121036,0.000049652175,0.00059334055,0.006353088],"genre_scores_gemma":[0.41445696,0.00033624636,0.5724932,0.00015763566,0.000058906495,0.00019249647,0.00025490453,0.000830407,0.011219261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997148,0.00005008572,0.000013524195,0.00005800412,0.00013426061,0.000029366869],"domain_scores_gemma":[0.9996728,0.00011338106,0.000043694705,0.000105536834,0.00004227333,0.00002227684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028137685,0.00069485855,0.0007578503,0.00075594103,0.00063808094,0.0008594209,0.0015238647,0.0010555866,0.005743234],"category_scores_gemma":[0.00095234596,0.0006014486,0.0010363617,0.0005113084,0.001154324,0.0009734088,0.0020619133,0.0012400281,0.0012491691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007038047,0.00003688251,0.00059581874,0.000081286016,0.00003337779,0.00021077998,0.0002017241,0.84681433,0.025962593,0.05279141,0.001307012,0.07189439],"study_design_scores_gemma":[0.000007512921,0.000012895236,0.000064667205,0.000009701658,0.0000042406978,0.000056386743,0.000018041219,0.9818029,0.0043644565,0.009290594,0.0043586954,0.0000099514755],"about_ca_topic_score_codex":0.0022271676,"about_ca_topic_score_gemma":0.0021172634,"teacher_disagreement_score":0.005743234,"about_ca_system_score_codex":0.0004704007,"about_ca_system_score_gemma":0.00060035556,"threshold_uncertainty_score":0.01921302},"labels":[],"label_agreement":null},{"id":"W4288084436","doi":"10.1145/3551889","title":"Constraint-based Simulation of Passive Suction Cups","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Constraint (computer-aided design); Suction; Computer science; Simulation; Animation; Robot; Suction cup; Collision detection; Artificial intelligence; Mechanics; Control theory (sociology); Mechanical engineering; Collision; Engineering; Computer graphics (images); Physics","score_opus":0.017425542166723356,"score_gpt":0.2390683685277681,"score_spread":0.22164282636104476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288084436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21932134,0.00017856031,0.7559495,0.00038695434,0.00011881813,0.00019093617,0.00053192675,0.0012821844,0.022039749],"genre_scores_gemma":[0.943761,0.00016758779,0.050299484,0.00009041088,0.000020966692,0.00025646714,0.00027490358,0.00017190728,0.004957284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999777,0.000044061115,0.000014025815,0.00003360401,0.00009181409,0.000039549235],"domain_scores_gemma":[0.9994822,0.00022255427,0.00006283523,0.000066122986,0.0000906624,0.00007566664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002619612,0.000582239,0.00069912756,0.00050900487,0.0006101697,0.0009611977,0.0015559492,0.0017435439,0.0036197503],"category_scores_gemma":[0.0014117695,0.0005189244,0.000664636,0.0003924982,0.0012525712,0.00085121434,0.0011124484,0.0006030035,0.00038085252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031074265,0.00002013645,0.000287097,0.00002097593,0.0000078503035,0.000095303316,0.0000376314,0.9913004,0.0022142231,0.0044172937,0.0001620674,0.0014060057],"study_design_scores_gemma":[0.000006407341,0.0000054784045,0.000049154696,0.0000013780004,0.0000011028252,0.000007901898,0.000003736054,0.9990067,0.00026912024,0.00045521383,0.00019104841,0.00000282927],"about_ca_topic_score_codex":0.008737869,"about_ca_topic_score_gemma":0.0038988392,"teacher_disagreement_score":0.008737869,"about_ca_system_score_codex":0.00070114434,"about_ca_system_score_gemma":0.0010687287,"threshold_uncertainty_score":0.01737398},"labels":[],"label_agreement":null},{"id":"W4288242631","doi":"10.1145/3306346.3322970","title":"SurfaceBrush","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Workflow; Surface (topology); Tangent; Usability; Leverage (statistics); Process (computing); Artificial intelligence; Manifold (fluid mechanics); Ribbon; Computer vision; Computer graphics (images); Geometry; Human–computer interaction; Mathematics; Mechanical engineering; Engineering","score_opus":0.011031685400609396,"score_gpt":0.20568069855032806,"score_spread":0.19464901314971866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288242631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011027614,0.0009234165,0.75331545,0.00034025262,0.00038247314,0.00055725087,0.0038990127,0.1870061,0.04254848],"genre_scores_gemma":[0.17916934,0.001363552,0.679711,0.0009770569,0.0001213191,0.0013363919,0.01627589,0.050672334,0.07037312],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991165,0.00007784146,0.000055112283,0.00019930529,0.00045473748,0.000096453965],"domain_scores_gemma":[0.99874276,0.0003359077,0.00007044584,0.00045505795,0.00028518218,0.00011070497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079594,0.0018043605,0.0011316965,0.0013020855,0.00066363724,0.0025764683,0.003823717,0.0018432769,0.10654689],"category_scores_gemma":[0.0049153734,0.001065498,0.0017404046,0.00088140706,0.00073408196,0.0029669928,0.0042931563,0.0019069187,0.0315977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085503387,0.0002385235,0.0019145047,0.0015076974,0.00011791182,0.00059506146,0.0009386448,0.022077354,0.059271943,0.033172034,0.19432348,0.6849878],"study_design_scores_gemma":[0.00028468829,0.0005470317,0.002881973,0.00032644888,0.00009217805,0.0017268354,0.0004251036,0.26683757,0.057336796,0.03724542,0.63200754,0.00028849317],"about_ca_topic_score_codex":0.0016095724,"about_ca_topic_score_gemma":0.002348898,"teacher_disagreement_score":0.10654689,"about_ca_system_score_codex":0.00052447285,"about_ca_system_score_gemma":0.00075193023,"threshold_uncertainty_score":0.35643488},"labels":[],"label_agreement":null},{"id":"W4289774595","doi":"10.1145/3554920","title":"Hex-Mesh Generation and Processing: A Survey","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft","keywords":"Computer science; Computer graphics (images)","score_opus":0.05599318494478313,"score_gpt":0.2990797057302627,"score_spread":0.2430865207854796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289774595","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046519176,0.117899016,0.8522647,0.00062234816,0.00053332513,0.0001641984,0.00046566178,0.0020912427,0.02130763],"genre_scores_gemma":[0.07533117,0.24479236,0.6580427,0.00074037036,0.0011272607,0.0003375953,0.0025147253,0.0019255341,0.015188321],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989471,0.0001768977,0.00009273811,0.00021947268,0.0005137205,0.00005005222],"domain_scores_gemma":[0.99855274,0.0007249202,0.00007205265,0.00031441337,0.00029383792,0.000042120228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009944324,0.0010680193,0.0011020147,0.0019849667,0.00058789644,0.0018964009,0.002851486,0.0015777526,0.008919676],"category_scores_gemma":[0.0026603015,0.0010552478,0.0010511946,0.0031711855,0.00072356727,0.002256156,0.0016657265,0.0013508294,0.0049039274],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000958206,0.00007243963,0.0007485278,0.00444485,0.0000763365,0.00012748141,0.00021607844,0.030447086,0.0053981734,0.027853817,0.01702755,0.9134918],"study_design_scores_gemma":[0.000049020502,0.00028699392,0.0017125361,0.0016333585,0.00013110225,0.002581539,0.00035202017,0.24053633,0.02531177,0.06463004,0.6626336,0.00014172086],"about_ca_topic_score_codex":0.00093624,"about_ca_topic_score_gemma":0.000806261,"teacher_disagreement_score":0.008919676,"about_ca_system_score_codex":0.0004480097,"about_ca_system_score_gemma":0.0006913089,"threshold_uncertainty_score":0.029839337},"labels":[],"label_agreement":null},{"id":"W4310443813","doi":"10.1145/3550454.3555450","title":"A Monte Carlo Method for Fluid Simulation","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; McGill University; Ubisoft (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Computer science; Rendering (computer graphics); Hybrid Monte Carlo; Monte Carlo integration; Pointwise; Algorithm; Variance reduction; Statistical physics; Estimator; Markov chain Monte Carlo; Mathematical optimization; Applied mathematics; Mathematics; Physics; Artificial intelligence; Mathematical analysis","score_opus":0.04107532784250013,"score_gpt":0.34538844956148756,"score_spread":0.30431312171898744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310443813","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003922046,0.00011923728,0.9969959,0.00008590387,0.00005074423,0.000039954306,0.000036526002,0.00038348584,0.0018960142],"genre_scores_gemma":[0.046456546,0.00041376444,0.9472243,0.00017742474,0.00010193039,0.0004850793,0.00016842382,0.0006565568,0.0043159113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889475,0.0003891031,0.000041786116,0.00011025966,0.00050067576,0.00006345522],"domain_scores_gemma":[0.9981172,0.0010607821,0.0000986497,0.00026931227,0.0003393266,0.00011477459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014510122,0.00069693965,0.0009922528,0.0010656569,0.00095430604,0.0018338731,0.0020519637,0.0018156783,0.008340565],"category_scores_gemma":[0.005445129,0.00062472775,0.0011975613,0.0010717354,0.0013933252,0.0014408262,0.002095116,0.002554674,0.002702406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080576596,0.00008527051,0.0007108381,0.00019851976,0.000090825066,0.0001493456,0.00015822871,0.58583397,0.0058365124,0.31199154,0.0075479746,0.0873164],"study_design_scores_gemma":[0.000016860218,0.000011150184,0.0000450774,0.000023557555,0.000007353555,0.00005641929,0.000006901829,0.95639974,0.0008606936,0.02732273,0.015232409,0.000017182034],"about_ca_topic_score_codex":0.0043680794,"about_ca_topic_score_gemma":0.003607183,"teacher_disagreement_score":0.008340565,"about_ca_system_score_codex":0.0011287174,"about_ca_system_score_gemma":0.0021063788,"threshold_uncertainty_score":0.027902007},"labels":[],"label_agreement":null},{"id":"W4311802207","doi":"10.1145/3550454.3555500","title":"Efficient Differentiation of Pixel Reconstruction Filters for Path-Space Differentiable Rendering","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Rendering (computer graphics); Differentiable function; Pixel; Path tracing; Classification of discontinuities; Computer science; Mathematics; Artificial intelligence; Algorithm; Computer vision; Mathematical analysis","score_opus":0.02325727096643756,"score_gpt":0.2567996646001644,"score_spread":0.23354239363372684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311802207","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004956988,0.000044479115,0.9935814,0.000041700347,0.000017720635,0.00001687461,0.000012190729,0.00032708026,0.001001552],"genre_scores_gemma":[0.11346446,0.0001429859,0.8836563,0.00007438661,0.000019731742,0.000041093943,0.000056721536,0.0004062621,0.0021380647],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995171,0.000096223484,0.000023975002,0.000065237844,0.0002582947,0.000039170696],"domain_scores_gemma":[0.9987532,0.00057795923,0.000111411835,0.00023813867,0.000255761,0.000063533174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012686339,0.00061898946,0.00052062,0.00055993797,0.00035758255,0.0016229338,0.0008144454,0.0010662961,0.004343508],"category_scores_gemma":[0.0056111934,0.00033505418,0.0005346296,0.00047593281,0.0008658437,0.001825783,0.0013541759,0.002257758,0.0011024248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003117489,0.00016813446,0.0015521338,0.00020201916,0.000042049815,0.00028193378,0.0006314023,0.19714049,0.134638,0.2507524,0.0042581083,0.4100216],"study_design_scores_gemma":[0.000020691068,0.000042681968,0.00018553999,0.000016232849,0.00000957359,0.00021627455,0.00003125474,0.93780476,0.033889074,0.021046633,0.006717333,0.000019957797],"about_ca_topic_score_codex":0.0012857902,"about_ca_topic_score_gemma":0.0019090044,"teacher_disagreement_score":0.004343508,"about_ca_system_score_codex":0.00078563637,"about_ca_system_score_gemma":0.0011125263,"threshold_uncertainty_score":0.01453048},"labels":[],"label_agreement":null},{"id":"W4311802545","doi":"10.1145/3550454.3555441","title":"Stochastic Poisson Surface Reconstruction","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; University of Toronto","funders":"Canada Research Chairs","keywords":"Point process; Surface reconstruction; Computer science; Surface (topology); Poisson distribution; Prior probability; Point cloud; Extension (predicate logic); Algorithm; Gaussian; Poisson point process; Function (biology); Point (geometry); Gaussian process; Mathematics; Artificial intelligence; Geometry; Bayesian probability; Statistics","score_opus":0.014825824351011528,"score_gpt":0.20913635976974657,"score_spread":0.19431053541873503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311802545","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014049282,0.000040285315,0.99698,0.00007447583,0.000024138166,0.000013220154,0.000057764246,0.0003627693,0.0010424368],"genre_scores_gemma":[0.15005586,0.00041014393,0.8411191,0.0003183862,0.00012997548,0.00014450955,0.00071390555,0.00083302543,0.006274998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808735,0.0002828457,0.00006497298,0.0003386295,0.0010944863,0.00013167654],"domain_scores_gemma":[0.9983423,0.00048509293,0.00014080785,0.00046403246,0.00046564057,0.00010210701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012601868,0.00074294454,0.0011903032,0.0011976868,0.0004068792,0.0018853176,0.0025459356,0.0017778067,0.0041345097],"category_scores_gemma":[0.005196088,0.0007532908,0.0014162355,0.001124789,0.001049853,0.0019245573,0.0030376026,0.0020251204,0.002533849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011716445,0.00007813742,0.0018618708,0.00020069552,0.00008122868,0.0004571722,0.00022101722,0.48391503,0.026999136,0.26377824,0.008363717,0.21392654],"study_design_scores_gemma":[0.0000071070335,0.000014088644,0.00014831971,0.000008759358,0.0000049931364,0.00018796435,0.000013454996,0.96460587,0.003451348,0.026605789,0.004935332,0.000016972897],"about_ca_topic_score_codex":0.0023484242,"about_ca_topic_score_gemma":0.0018930734,"teacher_disagreement_score":0.0041345097,"about_ca_system_score_codex":0.0006893737,"about_ca_system_score_gemma":0.0013916409,"threshold_uncertainty_score":0.013831317},"labels":[],"label_agreement":null},{"id":"W4311802607","doi":"10.1145/3550454.3555510","title":"Progressive Simulation for Cloth Quasistatics","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Computer science; Polygon mesh; Computer graphics; Intersection (aeronautics); Folding (DSP implementation); Graphics; Computer graphics (images); Fidelity; High fidelity; Sequence (biology); Computer simulation; Simulation; Computational science; Algorithm; Mechanical engineering; Engineering","score_opus":0.028074247026783718,"score_gpt":0.27308272246014004,"score_spread":0.24500847543335633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311802607","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04715254,0.00014541752,0.94067776,0.0001723419,0.0000953203,0.000111484194,0.0001189518,0.0010471648,0.010478956],"genre_scores_gemma":[0.6806313,0.00030543667,0.31090683,0.00013142098,0.000043229476,0.00028179257,0.0003015945,0.00042061135,0.0069778496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997756,0.00004965823,0.000009439571,0.000031213494,0.000111231224,0.00002290097],"domain_scores_gemma":[0.99941766,0.00026464165,0.00003852359,0.00013718028,0.000092899725,0.000049104907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045864328,0.00046962095,0.00045607937,0.00042837154,0.00047086208,0.00061220414,0.00113421,0.00082530436,0.0046916096],"category_scores_gemma":[0.0022206423,0.00040175323,0.00081686646,0.00026755934,0.0008543065,0.0007396804,0.0015472082,0.0008578128,0.00063142006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006062776,0.00003760864,0.0008635036,0.00006490219,0.000014793282,0.0001055039,0.00013625163,0.9467526,0.009156344,0.027542349,0.00063718506,0.0146282865],"study_design_scores_gemma":[0.000007763693,0.000012809937,0.000047753914,0.000003813893,0.0000018999115,0.000013501915,0.0000055680534,0.99527717,0.0008737989,0.0027833527,0.0009691083,0.000003447991],"about_ca_topic_score_codex":0.0062378114,"about_ca_topic_score_gemma":0.0046297796,"teacher_disagreement_score":0.0062378114,"about_ca_system_score_codex":0.0007012472,"about_ca_system_score_gemma":0.0008193393,"threshold_uncertainty_score":0.015694976},"labels":[],"label_agreement":null},{"id":"W4311804363","doi":"10.1145/3550454.3555474","title":"ElastoMonolith","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inviscid flow; Solver; Discretization; Eulerian path; Computer science; Grid; Spurious relationship; Mesh generation; Smoothed-particle hydrodynamics; Mathematical optimization; Applied mathematics; Robustness (evolution); Mathematics; Classical mechanics; Mechanics; Mathematical analysis; Physics; Finite element method; Lagrangian; Geometry","score_opus":0.012473062403139253,"score_gpt":0.2147636847975426,"score_spread":0.20229062239440335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311804363","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046854988,0.00068248506,0.78378046,0.00084327627,0.00055841095,0.00032450174,0.0019720667,0.0175167,0.14746709],"genre_scores_gemma":[0.5081972,0.00078707316,0.39629054,0.0006186536,0.0000829104,0.00041222127,0.004149572,0.0035753234,0.085886545],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958533,0.000031661,0.000020733612,0.00006414046,0.00024876147,0.000049363145],"domain_scores_gemma":[0.9998031,0.000047313,0.000017759437,0.0000635916,0.00004403152,0.000024193525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003428908,0.0008600606,0.0006450327,0.0005836561,0.0007770642,0.0015566665,0.001474143,0.00114089,0.034419414],"category_scores_gemma":[0.0009351069,0.00048825837,0.000698049,0.00063321413,0.0005245981,0.0012471362,0.0030769769,0.0010470259,0.0062318197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043055767,0.00024580376,0.0052475226,0.0012747,0.00016147578,0.0015022797,0.0007556501,0.24780175,0.10616115,0.110574834,0.07924184,0.4466024],"study_design_scores_gemma":[0.000099360914,0.0001625033,0.0013750653,0.00012150757,0.000041887335,0.0013717246,0.00025102435,0.673903,0.06291641,0.016950546,0.2427292,0.00007777522],"about_ca_topic_score_codex":0.0018092943,"about_ca_topic_score_gemma":0.0033956023,"teacher_disagreement_score":0.034419414,"about_ca_system_score_codex":0.00045221194,"about_ca_system_score_gemma":0.0012900057,"threshold_uncertainty_score":0.11514443},"labels":[],"label_agreement":null},{"id":"W4311805293","doi":"10.1145/3550454.3555466","title":"BoolSurf","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Dipartimenti di Eccellenza","keywords":"Surface (topology); Computer science; Geodesic; Manifold (fluid mechanics); Polygon mesh; Triangle mesh; Boundary (topology); Minimum bounding box; Bounded function; Mathematics; Topology (electrical circuits); Combinatorics; Geometry; Computer graphics (images); Image (mathematics); Artificial intelligence; Mathematical analysis","score_opus":0.012233672939630628,"score_gpt":0.23173653539850206,"score_spread":0.21950286245887143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311805293","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008652439,0.0011290738,0.71507365,0.00063302025,0.0009821376,0.00029555295,0.007021204,0.1372666,0.12894635],"genre_scores_gemma":[0.16349125,0.0016557901,0.58539397,0.0013010756,0.0003444119,0.00096406444,0.028319603,0.05824207,0.1602877],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985227,0.000119077915,0.00008648879,0.00024013646,0.00082175597,0.00020972619],"domain_scores_gemma":[0.99892515,0.00022322265,0.00004853819,0.000384578,0.00032662528,0.00009181735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009650996,0.0012879935,0.00102357,0.0017933318,0.0010856134,0.00293746,0.003213796,0.0016387703,0.14766133],"category_scores_gemma":[0.0039246795,0.0008879923,0.0015950174,0.00149117,0.0010375788,0.0034657565,0.0043834415,0.0019645193,0.061573397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008263367,0.00018774209,0.0015357684,0.00080792507,0.00008636782,0.00035344827,0.00035813765,0.0112175075,0.012943414,0.17084241,0.23178844,0.5690525],"study_design_scores_gemma":[0.00021400455,0.00014433356,0.0006443685,0.00024063703,0.00003982064,0.0005462558,0.00010893321,0.06631837,0.025471615,0.08561816,0.8205282,0.00012519411],"about_ca_topic_score_codex":0.0039289827,"about_ca_topic_score_gemma":0.0052893683,"teacher_disagreement_score":0.14766133,"about_ca_system_score_codex":0.000975845,"about_ca_system_score_gemma":0.0010695776,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4311805748","doi":"10.1145/3550454.3555498","title":"Curl-Flow","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curl (programming language); Vector field; Pointwise; Vector potential; Grid; Mathematical analysis; Mathematics; Applied mathematics; Computer science; Algorithm; Geometry; Physics","score_opus":0.02573096120826359,"score_gpt":0.2795568621438198,"score_spread":0.25382590093555624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311805748","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005090001,0.00023985085,0.97907704,0.00029351877,0.00016090146,0.00009349029,0.00016686009,0.0016702901,0.01320793],"genre_scores_gemma":[0.20712566,0.00062240794,0.76513666,0.0006275959,0.00015562974,0.00041978332,0.00081655354,0.0018159518,0.023279777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942243,0.0000784891,0.000028973443,0.0000994483,0.00030876076,0.000061947154],"domain_scores_gemma":[0.999228,0.00020187903,0.000093317154,0.00016927166,0.00024224073,0.000065274355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064962887,0.0009293225,0.00089703285,0.00095256465,0.0007987966,0.0022439514,0.002007794,0.0017464693,0.011292524],"category_scores_gemma":[0.0027154298,0.0006306592,0.00095390383,0.0005127315,0.0009774459,0.0020915421,0.0027656225,0.0014627869,0.003642412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011160349,0.00015508507,0.0017983844,0.0006094649,0.00007726649,0.00041420985,0.00044838092,0.48764893,0.026689773,0.2647313,0.018508287,0.19880733],"study_design_scores_gemma":[0.000020540367,0.00003413583,0.00009443804,0.00003200477,0.0000072897697,0.00013770143,0.000024247704,0.94712335,0.0053709503,0.024965918,0.022168504,0.000020980435],"about_ca_topic_score_codex":0.0029396147,"about_ca_topic_score_gemma":0.002886534,"teacher_disagreement_score":0.011292524,"about_ca_system_score_codex":0.0008436772,"about_ca_system_score_gemma":0.0019680883,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4311805945","doi":"10.1145/3550454.3555513","title":"Declarative Specification for Unstructured Mesh Editing Algorithms","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Computer science; Abstraction; Parallel computing; Personalization; Algorithm; Programming language; Theoretical computer science","score_opus":0.040838998710756774,"score_gpt":0.3032112564332217,"score_spread":0.262372257722465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311805945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008155919,0.000053169853,0.997148,0.00004001669,0.000015960588,0.000030675863,0.00010859815,0.0010039244,0.0007840314],"genre_scores_gemma":[0.0437825,0.00029705488,0.95130354,0.00015704412,0.00005398984,0.00031073985,0.0008951877,0.0009761089,0.0022237555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99720925,0.00047286408,0.0005237844,0.00033215014,0.0012368764,0.00022503463],"domain_scores_gemma":[0.9973253,0.0008210406,0.00024557803,0.00092983665,0.0005839337,0.000094187584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033625418,0.0011062693,0.000762724,0.00082921574,0.0006796052,0.0031849835,0.0039019403,0.0011483933,0.0020769176],"category_scores_gemma":[0.0042742738,0.000818585,0.0016127287,0.00094149937,0.001701392,0.0029136576,0.0021514609,0.0029910766,0.0012264566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008813932,0.00008907092,0.0009480588,0.00052008394,0.000071494636,0.00038084338,0.0009562885,0.07025833,0.017992573,0.8346217,0.006838051,0.06723529],"study_design_scores_gemma":[0.00006385367,0.00011064683,0.00039208448,0.00018148424,0.00012817301,0.00068001996,0.00019487107,0.47114915,0.03897055,0.2874837,0.20056981,0.000075687734],"about_ca_topic_score_codex":0.0016379077,"about_ca_topic_score_gemma":0.002017481,"teacher_disagreement_score":0.0039019403,"about_ca_system_score_codex":0.00069977983,"about_ca_system_score_gemma":0.0017088271,"threshold_uncertainty_score":0.017782986},"labels":[],"label_agreement":null},{"id":"W4311806010","doi":"10.1145/3550454.3555472","title":"Neural Brushstroke Engine","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"Computer science; Space (punctuation); Artificial intelligence; Interpolation (computer graphics); Embedding; Computer graphics (images); Set (abstract data type); Painting; Generative model; Computer vision; Generative grammar; Visual arts; Image (mathematics); Art","score_opus":0.022348983826246515,"score_gpt":0.26942317742408173,"score_spread":0.24707419359783522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311806010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017167328,0.0012754956,0.9531896,0.00026963552,0.00026609242,0.000118618984,0.00084221986,0.016120894,0.010750137],"genre_scores_gemma":[0.5064742,0.0015828855,0.4435518,0.00091495353,0.00014356743,0.00046545893,0.003605169,0.0018447123,0.04141715],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997477,0.000022192586,0.000009846812,0.00009066226,0.000090452406,0.000039060793],"domain_scores_gemma":[0.9998117,0.00006641989,0.000010027454,0.000054086602,0.00003756838,0.000020195233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050892384,0.0008130764,0.0010318186,0.0007019928,0.00031972225,0.0013205021,0.0026352885,0.001357649,0.014624442],"category_scores_gemma":[0.001466441,0.0006104192,0.00127344,0.0006922563,0.00048626814,0.0016795318,0.0011513326,0.001595309,0.003985089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025259328,0.00015858689,0.0013093629,0.00031707442,0.00018133727,0.0002856631,0.0001064029,0.42588258,0.020477455,0.030472264,0.024527138,0.49602956],"study_design_scores_gemma":[0.000015316844,0.000023694047,0.00013507294,0.000011218329,0.000012425068,0.000056837383,0.000005220939,0.98631114,0.0034817967,0.0064768386,0.003461914,0.000008417202],"about_ca_topic_score_codex":0.004661588,"about_ca_topic_score_gemma":0.007742891,"teacher_disagreement_score":0.014624442,"about_ca_system_score_codex":0.00085504237,"about_ca_system_score_gemma":0.00069539977,"threshold_uncertainty_score":0.04892367},"labels":[],"label_agreement":null},{"id":"W4311806011","doi":"10.1145/3550454.3555522","title":"The Continuity of Locomotion","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Bundesministerium für Bildung und Forschung","keywords":"Avatar; Human–computer interaction; Computer science; Teleportation; Virtual reality; Motion (physics); Movement (music); Computer vision","score_opus":0.023023966787169187,"score_gpt":0.2634930585422374,"score_spread":0.24046909175506823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311806011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5476052,0.0063605746,0.34220684,0.0026377542,0.0009475633,0.00053017074,0.0007450807,0.0019822014,0.09698462],"genre_scores_gemma":[0.9528747,0.0009869703,0.038074475,0.00027675054,0.00007648154,0.00020243254,0.00025783663,0.00012467618,0.0071255784],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993051,0.00022958413,0.000052486695,0.00015632587,0.0001822003,0.00007429341],"domain_scores_gemma":[0.9982969,0.00040625702,0.00027026417,0.00039860528,0.0003856991,0.00024226117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004851121,0.0003459781,0.00023877654,0.00036616236,0.0005142681,0.0014019909,0.00052113115,0.0005978403,0.0047274334],"category_scores_gemma":[0.0035773641,0.00022045014,0.0003348661,0.00020380283,0.0012357469,0.0014034603,0.0022029644,0.0006393858,0.0007944571],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009211281,0.0002803819,0.024335286,0.0024265752,0.00020989364,0.001105708,0.010609534,0.0054825568,0.20006779,0.04537789,0.009098785,0.70008445],"study_design_scores_gemma":[0.000358788,0.006551433,0.37083977,0.0019826563,0.0005507224,0.013227274,0.014481409,0.028419586,0.053965896,0.063202485,0.44587788,0.00054216094],"about_ca_topic_score_codex":0.0007375807,"about_ca_topic_score_gemma":0.0009351466,"teacher_disagreement_score":0.0047274334,"about_ca_system_score_codex":0.00027480055,"about_ca_system_score_gemma":0.0004450937,"threshold_uncertainty_score":0.015814781},"labels":[],"label_agreement":null},{"id":"W4311806032","doi":"10.1145/3550454.3555524","title":"QuadStream","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Rendering (computer graphics); Computer graphics (images); View synthesis; Computer vision; Artificial intelligence","score_opus":0.025333506752022412,"score_gpt":0.2814426426088041,"score_spread":0.2561091358567817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311806032","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00961458,0.0021084165,0.27469695,0.0013880208,0.002045834,0.0014163584,0.030777728,0.5183261,0.15962599],"genre_scores_gemma":[0.14497791,0.003511243,0.25312093,0.0038980413,0.0008802821,0.002172908,0.14167975,0.13576208,0.3139969],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998872,0.00010137912,0.000087137596,0.00019625586,0.00054059405,0.00020263674],"domain_scores_gemma":[0.9984743,0.00022896074,0.00005708079,0.00041215055,0.0006316403,0.0001957307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010710822,0.001716172,0.0011099586,0.0011210915,0.0009093674,0.0040284083,0.0043017645,0.0016629694,0.16942364],"category_scores_gemma":[0.004595403,0.0012029995,0.0011234933,0.00101714,0.000631955,0.0038664148,0.004952049,0.0027999203,0.07575711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016356397,0.0002241802,0.0015421448,0.00078946963,0.000102537575,0.00040742682,0.0004738675,0.0041928357,0.0167636,0.03386543,0.7299066,0.21009624],"study_design_scores_gemma":[0.0005643098,0.00025638548,0.0011540417,0.00018201115,0.0000662325,0.00057589053,0.00015659786,0.06988222,0.020504542,0.025185516,0.8812976,0.00017459627],"about_ca_topic_score_codex":0.00563223,"about_ca_topic_score_gemma":0.005335752,"teacher_disagreement_score":0.16942364,"about_ca_system_score_codex":0.0013042209,"about_ca_system_score_gemma":0.0018449761,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4311806088","doi":"10.1145/3550454.3555433","title":"Learning Reconstructability for Drone Aerial Path Planning","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Drone; Artificial intelligence; Motion planning; Viewpoints; Computer vision; Heuristic; Path (computing); Planner; 3D reconstruction; Set (abstract data type); Proxy (statistics); Machine learning; Robot","score_opus":0.018665401017765374,"score_gpt":0.2284969112575112,"score_spread":0.20983151023974583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311806088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04106111,0.00015938349,0.95629793,0.00014168765,0.000014703112,0.000041581432,0.00013421525,0.0011236607,0.0010258452],"genre_scores_gemma":[0.85453117,0.00016782616,0.14289945,0.0000885636,0.000028328337,0.00010210147,0.0004966738,0.00018577852,0.0015001192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964416,0.000065584136,0.000016093865,0.00011332669,0.000112172616,0.00004871513],"domain_scores_gemma":[0.9985228,0.0008418875,0.00021569878,0.00014608765,0.00018755307,0.000085917934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065523846,0.00092219905,0.0007995127,0.00059904373,0.00032556275,0.00073200336,0.0011653146,0.0008284343,0.0015826826],"category_scores_gemma":[0.004735787,0.0005899767,0.00044802338,0.00042113572,0.0009930156,0.0013406875,0.0012063293,0.0016328947,0.00023110397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029233415,0.000014060806,0.0007178236,0.000014831822,0.00000970158,0.000017530558,0.000015475016,0.980472,0.0007133272,0.0013752724,0.00021502572,0.016405635],"study_design_scores_gemma":[0.0000020900973,0.000011538338,0.00007409986,0.0000017022638,0.000001244986,0.000003890498,0.0000019334188,0.99862456,0.00036143643,0.0008416686,0.00007425897,0.0000015470123],"about_ca_topic_score_codex":0.009612951,"about_ca_topic_score_gemma":0.010844244,"teacher_disagreement_score":0.009612951,"about_ca_system_score_codex":0.001303497,"about_ca_system_score_gemma":0.0012749388,"threshold_uncertainty_score":0.019114017},"labels":[],"label_agreement":null},{"id":"W4375958628","doi":"10.1145/3592109","title":"A Practical Walk-on-Boundary Method for Boundary Value Problems","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"NSW Office of Environment and Heritage; University of Waterloo; Autodesk","keywords":"Monte Carlo method; Boundary value problem; Solver; Rendering (computer graphics); Computer science; Mathematical optimization; Markov chain Monte Carlo; Applied mathematics; Mathematics; Computational science; Mathematical analysis; Computer graphics (images)","score_opus":0.06483717111251308,"score_gpt":0.3818054106386889,"score_spread":0.3169682395261758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375958628","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072830217,0.0001090255,0.99653023,0.00009140122,0.00006382842,0.000030684496,0.00002037594,0.0002139866,0.0022120543],"genre_scores_gemma":[0.041348275,0.00028647954,0.95239323,0.00021366258,0.00008350686,0.00023712378,0.00012965508,0.0005001169,0.004807938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993813,0.00020760058,0.0000251401,0.000061448074,0.0002811422,0.00004327046],"domain_scores_gemma":[0.9992576,0.00033299084,0.000038340077,0.00009658663,0.00018348107,0.000091038106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009801165,0.00077645906,0.0007887272,0.0007318018,0.0007857329,0.0012138914,0.0014945428,0.0016753592,0.009179328],"category_scores_gemma":[0.0033428927,0.00045418972,0.0008044986,0.00071834907,0.0009171247,0.0013765417,0.0021933008,0.0022670901,0.002980765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010340209,0.0001924384,0.0009687828,0.00038164668,0.000046099012,0.00035229104,0.0002807974,0.36150476,0.01694649,0.36428675,0.013202756,0.24173388],"study_design_scores_gemma":[0.000017116949,0.000019852223,0.00004494058,0.000020173313,0.0000036821323,0.000063332875,0.000013976338,0.9538734,0.0010766337,0.031054836,0.0138012245,0.000010712699],"about_ca_topic_score_codex":0.0023170258,"about_ca_topic_score_gemma":0.0023462232,"teacher_disagreement_score":0.009179328,"about_ca_system_score_codex":0.0004987607,"about_ca_system_score_gemma":0.0013561635,"threshold_uncertainty_score":0.030707896},"labels":[],"label_agreement":null},{"id":"W4384405902","doi":"10.1145/3606032","title":"High-Resolution Volumetric Reconstruction for Clothed Humans","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Tsinghua University","keywords":"Computer science; Visual hull; Rendering (computer graphics); Artificial intelligence; Voxel; RGB color model; Computer vision; Algorithm; Computation; Iterative reconstruction","score_opus":0.03430003938883661,"score_gpt":0.2898862470953104,"score_spread":0.2555862077064738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384405902","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007078461,0.00011643128,0.99085075,0.00007385937,0.000025674482,0.000017347289,0.000053336837,0.000857047,0.0009270369],"genre_scores_gemma":[0.27146962,0.0005522882,0.7227625,0.00021667832,0.000076808334,0.000051624884,0.0004903164,0.0005336067,0.0038465674],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997166,0.0000396541,0.000009362577,0.00004681708,0.0001578101,0.000029749157],"domain_scores_gemma":[0.99971396,0.000076320575,0.00003441429,0.00008953764,0.00005657537,0.000029120198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030391305,0.0007897283,0.0006075983,0.0005952862,0.00020065432,0.0010305685,0.0007844633,0.00064738933,0.0028549398],"category_scores_gemma":[0.0013183396,0.0005904411,0.0008549449,0.00045691023,0.00049323647,0.0008199926,0.0012914035,0.0010960945,0.00096960366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032304568,0.0000992302,0.0011933914,0.00035361428,0.00014521854,0.00066106074,0.0004066351,0.34047946,0.15693882,0.015239291,0.0093892645,0.47477105],"study_design_scores_gemma":[0.000014372317,0.00004867558,0.00030454053,0.000024153125,0.00001381885,0.00057877594,0.00004378123,0.96443963,0.023655849,0.0063020927,0.004546139,0.000028158693],"about_ca_topic_score_codex":0.001878572,"about_ca_topic_score_gemma":0.0028347892,"teacher_disagreement_score":0.0028549398,"about_ca_system_score_codex":0.00027894485,"about_ca_system_score_gemma":0.0005423659,"threshold_uncertainty_score":0.00955075},"labels":[],"label_agreement":null},{"id":"W4385271020","doi":"10.1145/3592408","title":"Learning Physically Simulated Tennis Skills from Broadcast Videos","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Racket; Computer science; Tennis ball; Imitation; Embedding; Motion (physics); Ball (mathematics); Motion capture; Broadcasting (networking); Scale (ratio); Rendezvous; Artificial intelligence; Multimedia","score_opus":0.011986482849849925,"score_gpt":0.2300836364431626,"score_spread":0.21809715359331266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385271020","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23449671,0.00025702672,0.7338618,0.00029206384,0.00013874944,0.0002864435,0.0010080172,0.02047845,0.009180737],"genre_scores_gemma":[0.8664412,0.00013468729,0.12554604,0.00012317451,0.000021652826,0.0002472775,0.0018437954,0.00036032934,0.0052818554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986637,0.000015487254,0.0000057323014,0.000058478177,0.000032406,0.000021456817],"domain_scores_gemma":[0.99975294,0.0001068427,0.00001926878,0.000039426497,0.000039064274,0.00004243919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024868088,0.0007896071,0.00040295956,0.00019961756,0.00022479735,0.00047346536,0.0010461047,0.0005857931,0.0033975148],"category_scores_gemma":[0.0015415738,0.00040757586,0.00035096233,0.000112002745,0.00034624818,0.0005452919,0.000862231,0.0008786254,0.0007333807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042661224,0.0003859792,0.004774516,0.000275073,0.00015063041,0.00049241615,0.0003660726,0.71116966,0.061381064,0.00317409,0.0072094593,0.21019442],"study_design_scores_gemma":[0.000022346285,0.000052046977,0.00056887435,0.000008035186,0.0000095595615,0.000031666445,0.000027092463,0.99206984,0.005022997,0.0009314016,0.0012485236,0.000007709497],"about_ca_topic_score_codex":0.010608197,"about_ca_topic_score_gemma":0.015307741,"teacher_disagreement_score":0.010608197,"about_ca_system_score_codex":0.00046448724,"about_ca_system_score_gemma":0.00063598296,"threshold_uncertainty_score":0.021092892},"labels":[],"label_agreement":null},{"id":"W4385271041","doi":"10.1145/3592399","title":"Computational Exploration of Multistable Elastic Knots","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Knot (papermaking); Knot theory; Computer science; Algorithm; Theoretical computer science; Statistical physics; Mathematics; Physics; Engineering","score_opus":0.03760842827547986,"score_gpt":0.25494640507839955,"score_spread":0.2173379768029197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385271041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6332284,0.0003294108,0.3583371,0.00045977157,0.00003970797,0.00005222039,0.00036322727,0.0007855982,0.0064045615],"genre_scores_gemma":[0.9062302,0.000092760216,0.09215163,0.000054197288,0.000012557824,0.00006656032,0.00031430827,0.00012442555,0.00095332845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977225,0.000057775465,0.000010627888,0.00005384875,0.00006262442,0.000042929307],"domain_scores_gemma":[0.9985781,0.0010075262,0.00010596092,0.00015374248,0.00007769882,0.000076943965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006448206,0.00045636226,0.00056919403,0.00096624275,0.0006134637,0.0011038822,0.0010258137,0.0010361572,0.0027609984],"category_scores_gemma":[0.0032411995,0.0005056958,0.0007407262,0.0005473906,0.0012396035,0.0013977495,0.0013301754,0.00077567995,0.00022786659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008913524,0.0000674076,0.003859335,0.00009259348,0.000035990408,0.0001535688,0.00018410762,0.9528016,0.0037495662,0.028584493,0.000591552,0.009790586],"study_design_scores_gemma":[0.0000071224226,0.000009180202,0.00017251246,0.0000038080193,0.0000023503637,0.0000125972,0.000020005029,0.9912286,0.00032122998,0.007927866,0.00029181957,0.000002847995],"about_ca_topic_score_codex":0.0020893298,"about_ca_topic_score_gemma":0.0032228364,"teacher_disagreement_score":0.0027609984,"about_ca_system_score_codex":0.0005349238,"about_ca_system_score_gemma":0.00055399735,"threshold_uncertainty_score":0.009236515},"labels":[],"label_agreement":null},{"id":"W4385271048","doi":"10.1145/3592130","title":"StripMaker: Perception-driven Learned Vector Sketch Consolidation","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Workflow; Classifier (UML); Sketch; Consolidation (business); Artificial intelligence; Perception; Machine learning; Algorithm","score_opus":0.047127605746963785,"score_gpt":0.31987285422295475,"score_spread":0.27274524847599096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385271048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10556121,0.0013346426,0.7924117,0.00024562082,0.0002695994,0.00053680665,0.0014650328,0.09379845,0.0043770135],"genre_scores_gemma":[0.4809188,0.0004024271,0.49988654,0.00043795028,0.00008357403,0.0005977436,0.005992288,0.0025048538,0.009175797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836475,0.00020965602,0.00007712865,0.0008253114,0.00039005443,0.00013320474],"domain_scores_gemma":[0.9961957,0.001652285,0.0002725441,0.0011149303,0.00054692867,0.0002176827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019049864,0.0018547914,0.0012558725,0.0013876363,0.00037653287,0.002178024,0.0040612714,0.0017482192,0.009963127],"category_scores_gemma":[0.010504465,0.00093463884,0.0013174346,0.0009505955,0.0008795916,0.004089497,0.0030487422,0.0023362916,0.004683776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055807305,0.00027348648,0.004070165,0.00033836177,0.00013743635,0.00016316815,0.00030828218,0.046934318,0.032490794,0.0017843903,0.013160142,0.8997813],"study_design_scores_gemma":[0.000092377195,0.0003887178,0.0027660483,0.000050859886,0.0000538854,0.00023317609,0.0001796401,0.9502369,0.033012193,0.005234106,0.007700347,0.000051758652],"about_ca_topic_score_codex":0.0025023583,"about_ca_topic_score_gemma":0.0040753693,"teacher_disagreement_score":0.009963127,"about_ca_system_score_codex":0.00083617563,"about_ca_system_score_gemma":0.0010606146,"threshold_uncertainty_score":0.033329964},"labels":[],"label_agreement":null},{"id":"W4385272066","doi":"10.1145/3592403","title":"Surface Simplification using Intrinsic Error Metrics","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Geodesic; Polygon mesh; Mathematics; Tangent vector; Algorithm; Surface (topology); Curvature; Computer science; Applied mathematics; Geometry; Tangent","score_opus":0.09225129145717802,"score_gpt":0.34704669169675806,"score_spread":0.25479540023958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385272066","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003487015,0.00008132813,0.9936605,0.000065400476,0.0000394396,0.000023212691,0.000048417896,0.00053624326,0.0020584378],"genre_scores_gemma":[0.1492353,0.0004379759,0.84124666,0.000113704984,0.00011114922,0.00009630251,0.00046491664,0.0013121576,0.0069818418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978865,0.00020839469,0.00009919608,0.00022856901,0.0014795763,0.00009773617],"domain_scores_gemma":[0.9977133,0.00048756786,0.0001964607,0.0008266834,0.00068856357,0.00008736268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010041404,0.00087332603,0.000994566,0.0019912298,0.0006542029,0.0021679085,0.0016737203,0.00087661296,0.0038242002],"category_scores_gemma":[0.007063264,0.0005435044,0.0012476856,0.0011194529,0.0011140837,0.0026631828,0.0036400277,0.0022242493,0.0016742256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007666535,0.00006672423,0.0015911789,0.00033521611,0.000107863365,0.00017985646,0.00047581247,0.3453813,0.03318007,0.3063209,0.009115146,0.30316925],"study_design_scores_gemma":[0.000014140612,0.00005637122,0.0003229135,0.000029417846,0.000014437425,0.00022969351,0.000041823594,0.90803075,0.016032133,0.051226303,0.023972351,0.000029565872],"about_ca_topic_score_codex":0.0016634499,"about_ca_topic_score_gemma":0.0022570204,"teacher_disagreement_score":0.0038242002,"about_ca_system_score_codex":0.0009790154,"about_ca_system_score_gemma":0.0008349793,"threshold_uncertainty_score":0.012793243},"labels":[],"label_agreement":null},{"id":"W4385275410","doi":"10.1145/3592430","title":"Flexible Isosurface Extraction for Gradient-Based Mesh Optimization","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Isosurface; Polygon mesh; Computer science; Marching cubes; Volume mesh; Mesh generation; Algorithm; Visualization; Artificial intelligence; Finite element method; Computer graphics (images)","score_opus":0.04459646491349335,"score_gpt":0.32716310073849775,"score_spread":0.2825666358250044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385275410","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034418863,0.000094981464,0.9945747,0.0000569342,0.000022074219,0.000024632522,0.000040911058,0.0005087003,0.0012351909],"genre_scores_gemma":[0.18198887,0.00028064448,0.81306034,0.00012251754,0.000039835108,0.00015886445,0.00039644496,0.0010865653,0.0028659282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993886,0.000103576815,0.000032819455,0.00008831624,0.00034253186,0.00004425329],"domain_scores_gemma":[0.99943596,0.00020101588,0.000049344144,0.00014760859,0.00013802358,0.000028113702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008381822,0.0011696022,0.0008877901,0.0010274941,0.00038336724,0.0015157004,0.0015576511,0.0012060364,0.0027289728],"category_scores_gemma":[0.003144583,0.0005782852,0.00088479393,0.000786969,0.0008486551,0.0014982525,0.0019008956,0.0014554766,0.0014023127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068797046,0.000052924177,0.0005981157,0.00019881566,0.000041361352,0.00011227665,0.00013499333,0.77120066,0.02323389,0.039251294,0.003247024,0.16185991],"study_design_scores_gemma":[0.000005616475,0.000015436995,0.00005121748,0.000011253037,0.0000041495714,0.000038256807,0.000012988088,0.981965,0.0049488964,0.009994806,0.002944754,0.0000076092642],"about_ca_topic_score_codex":0.0010857157,"about_ca_topic_score_gemma":0.0016024337,"teacher_disagreement_score":0.0027289728,"about_ca_system_score_codex":0.00078962103,"about_ca_system_score_gemma":0.0007809388,"threshold_uncertainty_score":0.009129286},"labels":[],"label_agreement":null},{"id":"W4385275458","doi":"10.1145/3592436","title":"Juxtaform: interactive visual summarization for exploratory shape design","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Automatic summarization; Sketch; Workflow; Shape analysis (program analysis); Artificial intelligence; Human–computer interaction; Static analysis; Algorithm","score_opus":0.06278338194682298,"score_gpt":0.33204697395424365,"score_spread":0.26926359200742067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385275458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006338473,0.00012831473,0.97882026,0.00009315237,0.00003960656,0.00014958598,0.00030645548,0.011189249,0.0029349301],"genre_scores_gemma":[0.06043532,0.00017774121,0.92896324,0.00011744895,0.000037749676,0.00041372524,0.0012891773,0.0033978794,0.005167725],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903584,0.00026427352,0.00006132323,0.00017644836,0.00039848548,0.00006362677],"domain_scores_gemma":[0.9974476,0.0012055592,0.00012813708,0.000686679,0.00038760307,0.00014432776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014449244,0.0016508744,0.0008678632,0.0022110057,0.0009443882,0.0026534142,0.0023823448,0.0012270958,0.021999262],"category_scores_gemma":[0.006232434,0.000701774,0.0013433524,0.0012279787,0.000994939,0.003171053,0.005128836,0.0014175423,0.00499195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063410454,0.00021238324,0.0011817542,0.0012520475,0.00013303779,0.00043026634,0.004017081,0.035074044,0.10009725,0.045244474,0.038252924,0.77347064],"study_design_scores_gemma":[0.00018859672,0.00064123614,0.0018089854,0.000279166,0.00010100787,0.0010344172,0.0017270689,0.58522415,0.09927295,0.08142816,0.22805874,0.00023555533],"about_ca_topic_score_codex":0.0007871227,"about_ca_topic_score_gemma":0.0018345857,"teacher_disagreement_score":0.021999262,"about_ca_system_score_codex":0.00049725734,"about_ca_system_score_gemma":0.0005826284,"threshold_uncertainty_score":0.07359487},"labels":[],"label_agreement":null},{"id":"W4385275470","doi":"10.1145/3592404","title":"Fast Complementary Dynamics via Skinning Eigenmodes","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Skinning; Subspace topology; Solver; Computer science; Eigenvalues and eigenvectors; Algorithm; Parameterized complexity; Linear subspace; Applied mathematics; Mathematics; Mathematical optimization; Artificial intelligence; Geometry; Physics","score_opus":0.02072650126399447,"score_gpt":0.24294255204743934,"score_spread":0.22221605078344486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385275470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010895643,0.000045269026,0.9849241,0.000072311836,0.000034655255,0.000031449446,0.00004032186,0.0005031161,0.003453317],"genre_scores_gemma":[0.44889843,0.00021520496,0.5375627,0.00014545672,0.000055046225,0.0002225903,0.00021243766,0.0009267567,0.01176131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977654,0.000048535614,0.000008195683,0.000032490258,0.000109499844,0.000024679855],"domain_scores_gemma":[0.9996939,0.00012410979,0.000030437977,0.00006053153,0.000049312603,0.000041825846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037949544,0.00069186516,0.00054600294,0.0004957575,0.00041473142,0.00085872586,0.00082913006,0.0009046463,0.006701695],"category_scores_gemma":[0.0012825473,0.00045833213,0.0006192261,0.0003509369,0.0008242638,0.0013719635,0.0020320602,0.0010023563,0.001527085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066437104,0.00006115058,0.0006432004,0.000095634765,0.000042477106,0.00016395362,0.00029464578,0.80704165,0.02396989,0.093616046,0.0023704926,0.07163443],"study_design_scores_gemma":[0.000004652626,0.000007569767,0.000024339943,0.0000038800513,0.0000010612307,0.000019178811,0.000011765347,0.9889921,0.0012143058,0.008128099,0.0015875959,0.000005556751],"about_ca_topic_score_codex":0.0013653057,"about_ca_topic_score_gemma":0.0022529971,"teacher_disagreement_score":0.006701695,"about_ca_system_score_codex":0.00036776852,"about_ca_system_score_gemma":0.0006350363,"threshold_uncertainty_score":0.022419453},"labels":[],"label_agreement":null},{"id":"W4385275671","doi":"10.1145/3592146","title":"PolyStokes: A Polynomial Model Reduction Method for Viscous Fluid Simulation","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscous liquid; Mechanics; Reduction (mathematics); Rope; Computer science; Immersed boundary method; Boundary value problem; Compressibility; Polynomial; Mathematics; Physics; Applied mathematics; Classical mechanics; Boundary (topology); Mathematical analysis; Algorithm; Geometry","score_opus":0.054195324518737376,"score_gpt":0.36448966106791775,"score_spread":0.31029433654918037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385275671","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006737288,0.00014597549,0.9828693,0.00013490679,0.000073162075,0.0000848093,0.00029601945,0.005307296,0.0043512913],"genre_scores_gemma":[0.23515828,0.0003978848,0.74927944,0.00023031625,0.00008333543,0.0005284228,0.0011545449,0.004064928,0.009102894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996383,0.00008873549,0.000015372725,0.00004253225,0.00017106369,0.000043949796],"domain_scores_gemma":[0.9995615,0.000166029,0.000032278465,0.000085032705,0.000105142855,0.000049989623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005049471,0.0008087638,0.0008191976,0.00058203895,0.0006085528,0.0009888244,0.0020418453,0.0009936619,0.009624766],"category_scores_gemma":[0.0017602477,0.00044936212,0.00103312,0.00048235638,0.0005478499,0.00094459695,0.001838659,0.0017751151,0.0029058894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020466346,0.0002217482,0.0013437702,0.0003094759,0.0001061276,0.00028811052,0.0003252057,0.77475244,0.019980554,0.053016234,0.017059399,0.13239227],"study_design_scores_gemma":[0.00001763716,0.00001294069,0.000035123714,0.0000057175166,0.0000030269393,0.000017964878,0.000010823648,0.99128515,0.0009904874,0.003687743,0.003927031,0.000006347754],"about_ca_topic_score_codex":0.006457726,"about_ca_topic_score_gemma":0.0082405545,"teacher_disagreement_score":0.009624766,"about_ca_system_score_codex":0.00060888584,"about_ca_system_score_gemma":0.001382166,"threshold_uncertainty_score":0.03219807},"labels":[],"label_agreement":null},{"id":"W4385275705","doi":"10.1145/3592448","title":"Temporal Set Inversion for Animated Implicits","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Rendering (computer graphics); Bounded function; Inversion (geology); Algorithm; Discretization; Exploit; Mathematical optimization; Computer graphics (images); Mathematics","score_opus":0.058804128121178544,"score_gpt":0.3313379298166112,"score_spread":0.2725338016954327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385275705","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013133477,0.000047505324,0.9839655,0.00005848278,0.00002689524,0.000017713275,0.000025463172,0.00052375376,0.0022011348],"genre_scores_gemma":[0.32833126,0.000114189046,0.66710216,0.00008937681,0.00003305539,0.00008256856,0.0001694719,0.0005194901,0.0035584273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996958,0.000045361277,0.000012025481,0.00003638012,0.00017670995,0.000033756478],"domain_scores_gemma":[0.9992865,0.0003515953,0.000059425685,0.0001387033,0.00012116887,0.000042639218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045280182,0.00038125503,0.00040754554,0.00034439898,0.00035976974,0.000983903,0.0011504029,0.0006007731,0.0034344445],"category_scores_gemma":[0.0022892023,0.000273157,0.00044570738,0.0003588803,0.0008928214,0.001079124,0.0017455335,0.0012612939,0.0005267263],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002096938,0.00012287972,0.0010552425,0.00021275919,0.00003852301,0.0003536552,0.000738973,0.4699538,0.10230529,0.22039928,0.003963485,0.2006464],"study_design_scores_gemma":[0.000013103029,0.00002453568,0.0000547681,0.000008202302,0.0000028077832,0.000056962304,0.000029853441,0.96560574,0.009000846,0.021225942,0.003969199,0.000008135864],"about_ca_topic_score_codex":0.0014428721,"about_ca_topic_score_gemma":0.0021774874,"teacher_disagreement_score":0.0034344445,"about_ca_system_score_codex":0.000491526,"about_ca_system_score_gemma":0.000492409,"threshold_uncertainty_score":0.011489391},"labels":[],"label_agreement":null},{"id":"W4385276691","doi":"10.1145/3592428","title":"In-Timestep Remeshing for Contacting Elastodynamics","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Computation; Algorithm; Range (aeronautics); Trajectory; Inversion (geology); Stiffness; Intersection (aeronautics); Mathematical optimization; Mathematics; Structural engineering; Engineering","score_opus":0.020383891568943633,"score_gpt":0.26554438958801696,"score_spread":0.24516049801907333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385276691","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053755115,0.000093781295,0.9906093,0.00007414347,0.000039647777,0.00004413595,0.000058383543,0.0010793215,0.0026257755],"genre_scores_gemma":[0.16673675,0.00023143268,0.8282422,0.00016274552,0.000036204267,0.00025849175,0.00023571793,0.0009945262,0.0031020327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969447,0.00008520873,0.000018183506,0.00003138031,0.00014607214,0.0000245959],"domain_scores_gemma":[0.9993568,0.00023553976,0.000056040542,0.00021560384,0.000094970106,0.00004116559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056569796,0.00058903586,0.00049669784,0.00026380413,0.0005570995,0.00066466426,0.0016151898,0.00082752784,0.00454862],"category_scores_gemma":[0.0026231022,0.00041106244,0.000528594,0.00025605035,0.00054836395,0.00077049545,0.001785835,0.0012969496,0.0011464303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018348944,0.00015826893,0.002856669,0.00037952408,0.00010308591,0.00040414135,0.0006611853,0.6499484,0.05158412,0.08833762,0.010748281,0.19463523],"study_design_scores_gemma":[0.000018953548,0.000032883774,0.00014993941,0.000018337554,0.000007199535,0.00008470051,0.00002009428,0.9687468,0.0084822,0.009177258,0.013242801,0.000018849161],"about_ca_topic_score_codex":0.0018336149,"about_ca_topic_score_gemma":0.0024777022,"teacher_disagreement_score":0.00454862,"about_ca_system_score_codex":0.00039710462,"about_ca_system_score_gemma":0.00072828674,"threshold_uncertainty_score":0.015216589},"labels":[],"label_agreement":null},{"id":"W4385282819","doi":"10.1145/3592420","title":"Differential Operators on Sketches via Alpha Contours","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sketch; Mathematics; Computer science; Space (punctuation); Rendering (computer graphics); Algorithm; Artificial intelligence","score_opus":0.019682779837719946,"score_gpt":0.23490021573736147,"score_spread":0.21521743589964154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385282819","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007021982,0.000101959566,0.9905408,0.000057895868,0.000028289589,0.000034748304,0.000028751285,0.00021269867,0.0019729135],"genre_scores_gemma":[0.30290338,0.0007917391,0.6846008,0.00014287938,0.00010888157,0.00018270526,0.00024089646,0.0005645538,0.010464107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993082,0.0001322528,0.00004043118,0.00014855477,0.00032581642,0.00004475106],"domain_scores_gemma":[0.99889296,0.00049988646,0.00013123626,0.0001719054,0.00021439437,0.00008973987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031565,0.00079364324,0.0004679644,0.0014179852,0.0003992348,0.0025021834,0.0009355115,0.00090804184,0.0043956134],"category_scores_gemma":[0.0052070236,0.00059106125,0.00088668946,0.0007584384,0.0019162493,0.0027777585,0.0023493036,0.001587776,0.0011449134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011280243,0.00004120575,0.00097472366,0.00029171823,0.000034524895,0.00030169668,0.00082435954,0.20294411,0.040904902,0.5361426,0.003076163,0.21435125],"study_design_scores_gemma":[0.000017697883,0.00007492351,0.00039552484,0.000056935456,0.000010647787,0.00038404245,0.0001286967,0.8254842,0.009582964,0.14810552,0.015718168,0.000040711864],"about_ca_topic_score_codex":0.0007130342,"about_ca_topic_score_gemma":0.0005344062,"teacher_disagreement_score":0.0043956134,"about_ca_system_score_codex":0.00075685896,"about_ca_system_score_gemma":0.00041136568,"threshold_uncertainty_score":0.014704764},"labels":[],"label_agreement":null},{"id":"W4385288900","doi":"10.1145/3592144","title":"∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China; Bundesministerium für Wirtschaft und Klimaschutz","keywords":"Computer science; Optimization problem; Differentiable function; Deep learning; Artificial intelligence; Mathematical optimization; Artificial neural network; Algorithm; Mathematics","score_opus":0.030298278489210847,"score_gpt":0.27654556298665517,"score_spread":0.24624728449744432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385288900","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005470412,0.000095995674,0.9969548,0.00012976551,0.00002688005,0.000019622852,0.000076289274,0.00092552137,0.001224117],"genre_scores_gemma":[0.09283219,0.0007382841,0.89554685,0.00036063057,0.00010476663,0.00050301006,0.0006251798,0.0026319483,0.0066571278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925846,0.00022105586,0.00005093923,0.000114428156,0.00029859098,0.000056392386],"domain_scores_gemma":[0.99858785,0.0007532428,0.0001270902,0.0001949777,0.00024242353,0.00009443516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001469035,0.0015008801,0.0011113108,0.0005802966,0.00049534894,0.0020790286,0.0025578265,0.0019475631,0.007257646],"category_scores_gemma":[0.005031812,0.00086291565,0.0015341822,0.00068345614,0.0015426603,0.0021471954,0.00310751,0.0040435777,0.0033460718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005898094,0.000042085176,0.000483152,0.00028333324,0.00004520587,0.00012706041,0.00012353843,0.7922749,0.0027306525,0.15168802,0.009849962,0.04229321],"study_design_scores_gemma":[0.000008562278,0.000012876419,0.000027673948,0.00002160606,0.000003830456,0.000024974493,0.00000879938,0.96704495,0.00080474705,0.025669826,0.0063643493,0.000007789472],"about_ca_topic_score_codex":0.0027029663,"about_ca_topic_score_gemma":0.0032023098,"teacher_disagreement_score":0.007257646,"about_ca_system_score_codex":0.0008627763,"about_ca_system_score_gemma":0.0021728715,"threshold_uncertainty_score":0.024279237},"labels":[],"label_agreement":null},{"id":"W4385320774","doi":"10.1145/3592112","title":"Beyond Chainmail: Computational Modeling of Discrete Interlocking Materials","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canada Foundation for Innovation","keywords":"Interlocking; Deformation (meteorology); Computer science; Finite element method; Macro; Discrete modelling; Scale (ratio); Discrete element method; Plane (geometry); Structural engineering; Geometry; Materials science; Engineering; Algorithm; Physics; Mathematics; Mechanics; Discrete system; Composite material","score_opus":0.030424105316883766,"score_gpt":0.27627280363237905,"score_spread":0.24584869831549527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385320774","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08343562,0.0001553362,0.90695167,0.00017865552,0.000050306393,0.00005912575,0.00015780525,0.00064184767,0.008369528],"genre_scores_gemma":[0.6845891,0.0002633167,0.30900922,0.000099638644,0.000026069649,0.00022816844,0.00021281435,0.0002807303,0.0052910675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998534,0.000032973672,0.0000075278463,0.000025692856,0.000063403306,0.000016965363],"domain_scores_gemma":[0.99969304,0.00013285625,0.000032201446,0.000082617655,0.000032448803,0.000026924155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027263924,0.00040234235,0.00045197192,0.00026045597,0.00039353097,0.0011362995,0.001110376,0.001189229,0.0030048285],"category_scores_gemma":[0.00070624234,0.00028297596,0.0004442245,0.00031266472,0.0008666451,0.0011307984,0.00088205823,0.00085119647,0.0004812025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042712916,0.00004114723,0.0007806693,0.000059658607,0.000011509015,0.00010081721,0.00009438206,0.9296518,0.017505638,0.037093956,0.00040844173,0.014209265],"study_design_scores_gemma":[0.00000510734,0.000010646144,0.00006772489,0.0000033794113,0.0000012821394,0.000014766886,0.0000067657784,0.99245065,0.0021260118,0.0037161673,0.0015940315,0.0000034850962],"about_ca_topic_score_codex":0.0013817772,"about_ca_topic_score_gemma":0.0015075598,"teacher_disagreement_score":0.0030048285,"about_ca_system_score_codex":0.0004126311,"about_ca_system_score_gemma":0.0005453185,"threshold_uncertainty_score":0.0100521445},"labels":[],"label_agreement":null},{"id":"W4387323309","doi":"10.1145/3618375","title":"AdaptNet: Policy Adaptation for Physics-Based Character Control","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; École de Technologie Supérieure; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Universitas Brawijaya","keywords":"Reinforcement learning; Adaptation (eye); Computer science; Scratch; Embedding; Task (project management); Hierarchy; Code (set theory); Space (punctuation); Character (mathematics); Control (management); Human–computer interaction; Artificial intelligence; Programming language; Engineering","score_opus":0.0520802048763096,"score_gpt":0.2875373411699848,"score_spread":0.2354571362936752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387323309","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013110316,0.0002322089,0.97313446,0.00017377452,0.00020936453,0.000108349974,0.00016182975,0.0085730245,0.004296625],"genre_scores_gemma":[0.70331347,0.00032729027,0.28352877,0.0004263759,0.00012867452,0.00055421947,0.00062376546,0.0010973929,0.010000065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997372,0.00004970844,0.00001362249,0.00008554645,0.00007671524,0.000037229867],"domain_scores_gemma":[0.99958557,0.00018475637,0.000036363,0.00008073795,0.000071976014,0.000040624545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066760805,0.0008764104,0.00058873475,0.00038021913,0.00030755447,0.0006427556,0.0016004293,0.0008802078,0.0052859276],"category_scores_gemma":[0.0023715193,0.00052444363,0.000495045,0.00022242758,0.0007319671,0.0008902369,0.0012752326,0.001719099,0.0010658731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015303172,0.00013466176,0.0009309649,0.00009800813,0.00006112801,0.00010770907,0.000069964684,0.8358765,0.0070827864,0.010208315,0.006052537,0.13922438],"study_design_scores_gemma":[0.000007306722,0.000018861678,0.00005684891,0.000004155676,0.0000030420804,0.000009867683,0.0000031038792,0.99543446,0.0010208447,0.0023131378,0.0011243442,0.0000039864253],"about_ca_topic_score_codex":0.0052001416,"about_ca_topic_score_gemma":0.0071563553,"teacher_disagreement_score":0.0052859276,"about_ca_system_score_codex":0.00074738386,"about_ca_system_score_gemma":0.0009829107,"threshold_uncertainty_score":0.017683148},"labels":[],"label_agreement":null},{"id":"W4387929395","doi":"10.1145/3618327","title":"Interaction-Driven Active 3D Reconstruction with Object Interiors","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Artificial intelligence; Computer vision; Computer science; Object (grammar); Active perception; Robot; Focus (optics); Feature (linguistics); 3D reconstruction; Active vision; Computer graphics (images); Optics","score_opus":0.01445550272999827,"score_gpt":0.22570194466946678,"score_spread":0.2112464419394685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387929395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003022964,0.000028379665,0.9961694,0.000021265789,0.000005167079,0.0000124255,0.00001502885,0.00032119834,0.00040415846],"genre_scores_gemma":[0.1396852,0.000106900894,0.8575292,0.00006280737,0.000015608633,0.00007799176,0.00017392948,0.00035606982,0.0019923626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942315,0.00008803154,0.000021265147,0.00009659747,0.0003352643,0.00003582416],"domain_scores_gemma":[0.9993468,0.00025491868,0.00007119641,0.00017575915,0.00012352671,0.000027698818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007405885,0.0007397844,0.000793838,0.0007211232,0.00030125817,0.0013434055,0.0016551741,0.0010491732,0.002220222],"category_scores_gemma":[0.0016590189,0.00077608257,0.0010501492,0.00048651756,0.0010149301,0.0012409886,0.0016615537,0.0011188468,0.0007858808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022967138,0.0001158595,0.0010274391,0.0002573688,0.00009311285,0.00025131914,0.0004841421,0.5601756,0.14064163,0.021543074,0.0018001618,0.27338067],"study_design_scores_gemma":[0.000007923975,0.000028041137,0.00013924348,0.000010108287,0.000008092554,0.0001340415,0.000021036058,0.9708256,0.02406845,0.0025582465,0.0021823405,0.000016803779],"about_ca_topic_score_codex":0.0013225147,"about_ca_topic_score_gemma":0.0018549521,"teacher_disagreement_score":0.002220222,"about_ca_system_score_codex":0.0004632419,"about_ca_system_score_gemma":0.0006221413,"threshold_uncertainty_score":0.007427335},"labels":[],"label_agreement":null},{"id":"W4387999334","doi":"10.1145/3630750","title":"Intrinsic Image Decomposition via Ordinal Shading","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shading; Computer science; Rendering (computer graphics); Algorithm; Decomposition; Artificial intelligence; Generalization; Computer vision; Albedo (alchemy); Mathematics; Computer graphics (images)","score_opus":0.020275049691185862,"score_gpt":0.3099234596397862,"score_spread":0.2896484099486003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387999334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010501796,0.000044438744,0.9878528,0.00007976928,0.000011724949,0.000010702978,0.000070893075,0.00027492997,0.0011529892],"genre_scores_gemma":[0.5078585,0.0002676106,0.48508963,0.00018110193,0.00006272046,0.000086870205,0.00066852523,0.00044399098,0.005341104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996697,0.00007187828,0.000011439443,0.00006323648,0.00014700652,0.00003667656],"domain_scores_gemma":[0.99948466,0.00013616744,0.000064776104,0.00014307303,0.0001251008,0.000046200817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061175384,0.00071357907,0.00044304974,0.00063387805,0.0002399695,0.0010690353,0.00090899447,0.0006209071,0.0024018758],"category_scores_gemma":[0.0019175485,0.0003626127,0.00057636586,0.00041069993,0.00071548775,0.0016974136,0.001477943,0.0015743363,0.0007334967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009984749,0.000056035602,0.0014765084,0.00014601744,0.000045638506,0.000102696526,0.00018296012,0.7407827,0.033549394,0.08120787,0.0036774974,0.13867283],"study_design_scores_gemma":[0.0000027895344,0.000013242216,0.00018363976,0.000005725773,0.0000030034125,0.000028460006,0.000011027931,0.98203385,0.0021279661,0.0144575685,0.0011265494,0.000006097036],"about_ca_topic_score_codex":0.0018364909,"about_ca_topic_score_gemma":0.0027109797,"teacher_disagreement_score":0.0024018758,"about_ca_system_score_codex":0.000617271,"about_ca_system_score_gemma":0.00063925143,"threshold_uncertainty_score":0.008035123},"labels":[],"label_agreement":null},{"id":"W4388926444","doi":"10.1145/3618307","title":"ART-Owen Scrambling","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Scrambling; Computer science; Scalability; Theoretical computer science; Context (archaeology); Binary tree; Algorithm; Symbol (formal); Tree (set theory); Code (set theory); Parallel computing; Mathematics; Programming language","score_opus":0.04069691141845598,"score_gpt":0.2840182207735879,"score_spread":0.2433213093551319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388926444","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076566874,0.00007456079,0.9885853,0.000036947316,0.000044560547,0.000036139238,0.000032925833,0.0009012289,0.0026317243],"genre_scores_gemma":[0.13126004,0.00008859669,0.8624972,0.00011829661,0.000029957682,0.00010087421,0.00013222515,0.00037982204,0.005393034],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996513,0.00005058454,0.000023924496,0.000071993316,0.00015933467,0.000042865086],"domain_scores_gemma":[0.99939644,0.00018107069,0.00004574858,0.00021678083,0.00012423034,0.000035740726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046910596,0.00045740465,0.000552012,0.00063931756,0.00048381236,0.00081088516,0.0009586959,0.00059385586,0.0038912355],"category_scores_gemma":[0.001918705,0.00028643513,0.0005463397,0.0004370758,0.0008124986,0.0008453538,0.001305741,0.00078466814,0.0013030221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003070792,0.000092396345,0.00091389555,0.00026252304,0.00006539622,0.00031406264,0.0005132506,0.1317353,0.088369556,0.19912656,0.0074260645,0.57087386],"study_design_scores_gemma":[0.00004922075,0.000103923245,0.0002658677,0.000032593114,0.00002522158,0.00031169274,0.00004852702,0.85903376,0.074831605,0.043323826,0.021927375,0.00004633785],"about_ca_topic_score_codex":0.0011836878,"about_ca_topic_score_gemma":0.0020509046,"teacher_disagreement_score":0.0038912355,"about_ca_system_score_codex":0.00039784733,"about_ca_system_score_gemma":0.0007882148,"threshold_uncertainty_score":0.013017476},"labels":[],"label_agreement":null},{"id":"W4389334861","doi":"10.1145/3618391","title":"Slippage-Preserving Reshaping of Human-Made 3D Content","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slippage; Computer science; Scaling; Scale (ratio); Motion (physics); Property (philosophy); Surface (topology); Range (aeronautics); Extension (predicate logic); Computer graphics (images); Artificial intelligence; Computer vision; Geometry; Mathematics; Physics; Engineering; Structural engineering","score_opus":0.08457682912504655,"score_gpt":0.2748386339910725,"score_spread":0.19026180486602595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389334861","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07792459,0.00049674074,0.8656249,0.00025801433,0.00029726367,0.00027433652,0.00076861103,0.035601992,0.018753614],"genre_scores_gemma":[0.46669444,0.0006883357,0.49969465,0.00038283694,0.00014049876,0.000282355,0.0016148492,0.0132506685,0.017251387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918145,0.00013274192,0.00003803076,0.00018438374,0.00037644032,0.00008706939],"domain_scores_gemma":[0.99714965,0.0009654253,0.00016102778,0.0012864157,0.0003049965,0.00013249448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009209408,0.0015393654,0.00065019313,0.0010074908,0.0004953225,0.0018018039,0.0017419212,0.0008689285,0.013624168],"category_scores_gemma":[0.0048589758,0.00054432865,0.0012251502,0.0005186373,0.0009479261,0.0017792265,0.0032218457,0.001187514,0.0035407923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082781934,0.00019587626,0.001956041,0.0010283148,0.00014731918,0.0015583255,0.0026550896,0.085195914,0.32168227,0.014876252,0.021769619,0.5481071],"study_design_scores_gemma":[0.00011128663,0.00051306194,0.004051704,0.00017815635,0.000094127434,0.0020270473,0.0008812816,0.46990559,0.3758103,0.018850964,0.12733503,0.00024144952],"about_ca_topic_score_codex":0.00084602623,"about_ca_topic_score_gemma":0.00160921,"teacher_disagreement_score":0.013624168,"about_ca_system_score_codex":0.0003746286,"about_ca_system_score_gemma":0.00033973472,"threshold_uncertainty_score":0.045577347},"labels":[],"label_agreement":null},{"id":"W4389334991","doi":"10.1145/3618374","title":"An Adaptive Fast-Multipole-Accelerated Hybrid Boundary Integral Equation Method for Accurate Diffusion Curves","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; University of Toronto","funders":"National Research Foundation of Korea; Canada Research Chairs","keywords":"Discretization; Fast multipole method; Partial differential equation; Boundary element method; Diffusion equation; Mathematics; Boundary (topology); Computer science; Applied mathematics; Algorithm; Mathematical analysis; Finite element method; Multipole expansion","score_opus":0.046204937048416723,"score_gpt":0.3263982139723515,"score_spread":0.2801932769239348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389334991","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041104075,0.00014923625,0.99325234,0.00011274993,0.00005368715,0.00002474608,0.000021905526,0.00027013864,0.0020048101],"genre_scores_gemma":[0.100335054,0.00029641305,0.89291805,0.00015392847,0.000057625,0.00014524024,0.000109786786,0.00034816845,0.0056357672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998092,0.000027732944,0.0000074313625,0.00002042977,0.00012011125,0.000015138656],"domain_scores_gemma":[0.9997173,0.00010591612,0.00002059349,0.000029949812,0.00010118169,0.000025035795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003838392,0.00048774388,0.0006177409,0.00042882893,0.00042321312,0.000875215,0.0013694377,0.0011349001,0.0034091838],"category_scores_gemma":[0.0013949774,0.00034381452,0.0005826684,0.0004271354,0.00043824126,0.0011539832,0.0011476185,0.0012627298,0.0010536104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011069595,0.00013147149,0.0008995712,0.00023525424,0.0000569815,0.00030322405,0.00041210576,0.620458,0.069491476,0.10123253,0.007545616,0.19912313],"study_design_scores_gemma":[0.0000068161803,0.0000052272485,0.00002155727,0.000005175467,0.0000017745493,0.000025499334,0.0000055332557,0.99445397,0.0009592369,0.0019441718,0.0025660512,0.000004987794],"about_ca_topic_score_codex":0.0024730866,"about_ca_topic_score_gemma":0.0023948755,"teacher_disagreement_score":0.0034091838,"about_ca_system_score_codex":0.00044047358,"about_ca_system_score_gemma":0.0008204979,"threshold_uncertainty_score":0.011404812},"labels":[],"label_agreement":null},{"id":"W4389335084","doi":"10.1145/3618354","title":"Neural Packing: from Visual Sensing to Reinforcement Learning","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Guelph","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Container (type theory); Pipeline (software); Artificial intelligence; Packing problems; Benchmark (surveying); Scalability; Encoding (memory); Artificial neural network; Motion planning; Robot; Computer vision; Algorithm","score_opus":0.024690323842993047,"score_gpt":0.2584305126388453,"score_spread":0.23374018879585226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389335084","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018622784,0.00022850437,0.9779423,0.00019293741,0.00003929043,0.000036751182,0.000039926756,0.0009682929,0.0019292987],"genre_scores_gemma":[0.7250971,0.00027957393,0.2698204,0.0003720246,0.000083989275,0.00020361056,0.0002106675,0.00024462247,0.0036880097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996088,0.0000963031,0.000017980374,0.00011256343,0.000100006146,0.00006443086],"domain_scores_gemma":[0.9989575,0.00058654556,0.0001159808,0.00013586077,0.00013756442,0.00006655087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007767077,0.0011447738,0.0010477883,0.0004268338,0.00032413163,0.0009269314,0.0020050395,0.0014584652,0.002909914],"category_scores_gemma":[0.003494029,0.0007068655,0.0005395907,0.00049640465,0.0011701883,0.0018267533,0.0015721455,0.001575239,0.00047832006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007799314,0.00006719147,0.00040052304,0.00005625564,0.000022021666,0.000050898892,0.000042933534,0.9089369,0.0024855076,0.0055763912,0.0012167379,0.081066504],"study_design_scores_gemma":[0.0000045994952,0.000015379348,0.000028535653,0.0000031400223,0.0000018077897,0.0000052313767,0.0000027687379,0.9963857,0.0005107732,0.0028788305,0.00016101233,0.0000022002257],"about_ca_topic_score_codex":0.004975292,"about_ca_topic_score_gemma":0.004158275,"teacher_disagreement_score":0.004975292,"about_ca_system_score_codex":0.0010255367,"about_ca_system_score_gemma":0.0009656515,"threshold_uncertainty_score":0.0098926425},"labels":[],"label_agreement":null},{"id":"W4389339279","doi":"10.1145/3618338","title":"Scene-Aware Activity Program Generation with Language Guidance","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Executable; Generalizability theory; Encoder; Scene graph; Graph; Artificial intelligence; Rationality; Perception; Representation (politics); Key (lock); Machine learning; Theoretical computer science; Human–computer interaction; Natural language processing; Programming language","score_opus":0.03607292347747975,"score_gpt":0.29635666487959256,"score_spread":0.2602837414021128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389339279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04224094,0.00036692974,0.92591864,0.00037562373,0.00007016474,0.00020856046,0.0009203668,0.026294598,0.0036041895],"genre_scores_gemma":[0.35633945,0.00018761518,0.63278157,0.0002892415,0.000036958845,0.00031955366,0.0036993246,0.0013120748,0.005034208],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996137,0.00007108535,0.00001757688,0.00015792315,0.00009441622,0.000045309476],"domain_scores_gemma":[0.9993742,0.00025160777,0.000046971276,0.00017582584,0.00011081447,0.000040663395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386992,0.0009515265,0.0005131109,0.0005793764,0.00025712873,0.00060768425,0.001753979,0.0006410418,0.0022349556],"category_scores_gemma":[0.0018440965,0.00028843808,0.00074596034,0.00042353314,0.0005531499,0.0011053291,0.00086495554,0.0012328394,0.0010862699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050159515,0.0005344068,0.005020841,0.00043897124,0.000078434925,0.0003113825,0.00035191677,0.21084848,0.03753395,0.0134367645,0.0224297,0.7085135],"study_design_scores_gemma":[0.000049452738,0.00007513407,0.00031579036,0.000011035829,0.00001644271,0.00006501004,0.00003082643,0.97349316,0.012476387,0.008492665,0.0049622175,0.000011938836],"about_ca_topic_score_codex":0.0053333617,"about_ca_topic_score_gemma":0.011451673,"teacher_disagreement_score":0.0053333617,"about_ca_system_score_codex":0.00060036866,"about_ca_system_score_gemma":0.0014192072,"threshold_uncertainty_score":0.01060462},"labels":[],"label_agreement":null},{"id":"W4389339495","doi":"10.1145/3618308","title":"Analysis and Synthesis of Digital Dyadic Sequences","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Sequence (biology); Rendering (computer graphics); Subspace topology; Computer science; Sobol sequence; Net (polyhedron); Mathematics; Computer graphics; Graphics; Set (abstract data type); Base (topology); Sequence space; Algorithm; Theoretical computer science; Discrete mathematics; Computer graphics (images); Artificial intelligence; Geometry","score_opus":0.024053240524807576,"score_gpt":0.27197999196080247,"score_spread":0.2479267514359949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389339495","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087338805,0.0002653795,0.8987067,0.00006616819,0.00005697184,0.00003774388,0.000088735396,0.00024489345,0.013194682],"genre_scores_gemma":[0.6515626,0.0003601371,0.3356675,0.000060355087,0.000038843245,0.00010465166,0.00025711922,0.00011338066,0.0118354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998085,0.000036226407,0.000011390244,0.000043455857,0.00007837691,0.000022015553],"domain_scores_gemma":[0.9996966,0.000101180856,0.000048897124,0.000039004004,0.00008824595,0.000026190271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002359434,0.0003756636,0.00022522922,0.00064885354,0.0002484496,0.0005547048,0.00030633446,0.00029316955,0.0041251713],"category_scores_gemma":[0.0009819345,0.00016587137,0.00018741211,0.0003993606,0.00045352173,0.00062176515,0.00038686197,0.00030611726,0.0004955896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002117073,0.000056849705,0.0012353483,0.00024949593,0.000021959233,0.0002747244,0.00023321318,0.2911848,0.08291742,0.4596136,0.0014027584,0.16259818],"study_design_scores_gemma":[0.000021510594,0.00021082544,0.0004992163,0.00004180668,0.000013456312,0.0002880307,0.00011575386,0.85577816,0.04102387,0.08573017,0.016252914,0.00002424977],"about_ca_topic_score_codex":0.0004806199,"about_ca_topic_score_gemma":0.0006795734,"teacher_disagreement_score":0.0041251713,"about_ca_system_score_codex":0.00041823514,"about_ca_system_score_gemma":0.00030791387,"threshold_uncertainty_score":0.013800085},"labels":[],"label_agreement":null},{"id":"W4389340251","doi":"10.1145/3618390","title":"Adaptive Shells for Efficient Neural Radiance Field Rendering","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"Radiance; Rendering (computer graphics); Computer science; Polygon mesh; Kernel (algebra); Algorithm; Pixel; Artificial intelligence; Volume rendering; Computer vision; Computer graphics (images); Mathematics; Optics; Physics","score_opus":0.049009312495294596,"score_gpt":0.30720357177196433,"score_spread":0.2581942592766697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389340251","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005985898,0.000071369446,0.9905938,0.000076883094,0.000021206522,0.00001944584,0.000041977346,0.0011401265,0.0020493383],"genre_scores_gemma":[0.2940451,0.0001925058,0.69742346,0.00018925848,0.000036928344,0.00014179942,0.00020592067,0.0011677761,0.0065972772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997844,0.00004912489,0.000008877906,0.000027458691,0.000107100095,0.000023037685],"domain_scores_gemma":[0.99971706,0.00013479192,0.000023169407,0.000052043986,0.00005214653,0.000020734666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041804044,0.00071086304,0.00051004667,0.00036157455,0.00021032442,0.0007902458,0.0010266966,0.0007849505,0.004011619],"category_scores_gemma":[0.001806472,0.0005118647,0.0008304814,0.00028014526,0.0004929775,0.00078622124,0.0012848782,0.0013998416,0.0009885224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014845273,0.0000570329,0.00031861433,0.00010598091,0.00004791274,0.00010745283,0.00011410132,0.8011863,0.035877317,0.037081342,0.0047832457,0.12017226],"study_design_scores_gemma":[0.000006055152,0.0000057518237,0.000021498006,0.0000032755372,0.0000017668817,0.000014716245,0.0000031406644,0.99382764,0.0016005349,0.0036620088,0.0008497585,0.000003874617],"about_ca_topic_score_codex":0.0023414877,"about_ca_topic_score_gemma":0.0046952893,"teacher_disagreement_score":0.004011619,"about_ca_system_score_codex":0.00057725294,"about_ca_system_score_gemma":0.0004819829,"threshold_uncertainty_score":0.013420224},"labels":[],"label_agreement":null},{"id":"W4389347523","doi":"10.1145/3618388","title":"Progressive Shell Qasistatics for Unstructured Meshes","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Polygon mesh; Computer science; Subdivision surface; Shell (structure); Volume mesh; Level of detail; Computational science; Algorithm; Mesh generation; Computer graphics (images); Finite element method; Structural engineering; Engineering; Mechanical engineering","score_opus":0.02472973393175682,"score_gpt":0.2590749610776701,"score_spread":0.23434522714591327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389347523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055864663,0.000071043796,0.9890188,0.00006904726,0.00003336017,0.00005048831,0.00003188081,0.0004658764,0.0046730745],"genre_scores_gemma":[0.23202856,0.0003646116,0.7559603,0.00017867016,0.000071076385,0.000301687,0.0002519605,0.00077527115,0.010067811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960595,0.00006912996,0.000018617166,0.000039131835,0.00024218239,0.000025029092],"domain_scores_gemma":[0.9994178,0.0002514808,0.000046510042,0.00014534715,0.00010415307,0.000034811634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006086531,0.0005092002,0.00033969452,0.00046100692,0.0004594044,0.0007790531,0.0009943723,0.00061855686,0.0053590853],"category_scores_gemma":[0.0024720363,0.00033582348,0.00080137915,0.00022910071,0.0010943542,0.0007745757,0.0022065982,0.0014279705,0.0012740011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001173054,0.000053464704,0.0007946737,0.00021099954,0.000024561523,0.0002580282,0.0005838315,0.3844667,0.03328216,0.469546,0.004025085,0.106637165],"study_design_scores_gemma":[0.0000162891,0.000031959124,0.000067522946,0.000016380167,0.000003158581,0.00006726304,0.000019991292,0.9413058,0.0036662153,0.045799173,0.008999325,0.0000070153887],"about_ca_topic_score_codex":0.0016616359,"about_ca_topic_score_gemma":0.0019142003,"teacher_disagreement_score":0.0053590853,"about_ca_system_score_codex":0.00048056192,"about_ca_system_score_gemma":0.0005271495,"threshold_uncertainty_score":0.017927945},"labels":[],"label_agreement":null},{"id":"W4389362885","doi":"10.1145/3618361","title":"Reconstruction of Machine-Made Shapes from Bitmap Sketches","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; Huawei Technologies (Canada)","funders":"","keywords":"Bitmap; Computer science; Polygon mesh; Geometric primitive; Artificial intelligence; Rendering (computer graphics); Computer vision; Sketch; Computer graphics (images); Segmentation; Algorithm","score_opus":0.02744514472218881,"score_gpt":0.27651293939918126,"score_spread":0.24906779467699244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389362885","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012893498,0.0000737005,0.98415494,0.00006165564,0.000028151795,0.00004011095,0.000115809475,0.0020238997,0.00060818583],"genre_scores_gemma":[0.18317157,0.00027530416,0.8131305,0.00008881618,0.00003213796,0.000094985,0.0006154934,0.00082045834,0.0017706391],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993864,0.000068001464,0.00003021564,0.00014133136,0.00032781492,0.000046151887],"domain_scores_gemma":[0.99843997,0.0004762238,0.00014733779,0.00057658186,0.00027535882,0.000084522115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069276843,0.0011708718,0.0011022415,0.0011903476,0.0002238268,0.001829333,0.0017116137,0.0012137614,0.004625431],"category_scores_gemma":[0.004622095,0.0014277569,0.0012598112,0.0008945402,0.0008262419,0.002130996,0.0017534697,0.001776045,0.0019030853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036197336,0.000066481596,0.0018648952,0.000369431,0.00011926471,0.00037411973,0.0004133497,0.43173498,0.084283106,0.014583248,0.0045574396,0.4612717],"study_design_scores_gemma":[0.000014036658,0.000044845223,0.00032598554,0.00001716869,0.000009353917,0.0001868863,0.00004026695,0.97464687,0.015779058,0.0060618934,0.0028459998,0.000027689828],"about_ca_topic_score_codex":0.00132024,"about_ca_topic_score_gemma":0.0020999678,"teacher_disagreement_score":0.004625431,"about_ca_system_score_codex":0.0005022939,"about_ca_system_score_gemma":0.00062190945,"threshold_uncertainty_score":0.015473664},"labels":[],"label_agreement":null},{"id":"W4392295205","doi":"10.1145/3649888","title":"A Dual-Particle Approach for Incompressible SPH Fluids","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Peking University; National Key Research and Development Program of China; University of Toronto; National Natural Science Foundation of China","keywords":"Dual (grammatical number); Compressibility; Smoothed-particle hydrodynamics; Particle (ecology); Fluid simulation; Computer science; Physics; Mechanics; Classical mechanics; Geology","score_opus":0.019700049755112695,"score_gpt":0.25766378530282175,"score_spread":0.23796373554770905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392295205","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019769028,0.00014813467,0.9728568,0.00024315584,0.00014163826,0.000087695524,0.00006514213,0.0003990154,0.006289327],"genre_scores_gemma":[0.442817,0.00022299906,0.54762745,0.00025084906,0.00015592983,0.00031460894,0.00017285162,0.0002522319,0.008186121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997055,0.000057979745,0.000013028217,0.000036511927,0.00016201042,0.00002504916],"domain_scores_gemma":[0.9996741,0.000074912896,0.000027917722,0.00006538239,0.00008364568,0.00007405546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034553357,0.0005263466,0.00061335816,0.00059255806,0.0006401635,0.0009264153,0.0020310895,0.001456853,0.0019335614],"category_scores_gemma":[0.0010249756,0.00051403366,0.00063431467,0.00035323616,0.00091567007,0.0008154938,0.0023537837,0.0012173477,0.0008032852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019740743,0.00024461193,0.0015706186,0.000117980606,0.00006215149,0.00037570758,0.00020041388,0.8152725,0.033685967,0.1048885,0.0027203893,0.040663805],"study_design_scores_gemma":[0.000013237929,0.0000108445665,0.000028014647,0.0000015115485,0.0000016339902,0.000014012715,0.0000030712033,0.9960219,0.00072742574,0.0022686163,0.0009051911,0.0000045393685],"about_ca_topic_score_codex":0.002066998,"about_ca_topic_score_gemma":0.0012289224,"teacher_disagreement_score":0.002066998,"about_ca_system_score_codex":0.00057233055,"about_ca_system_score_gemma":0.0008067802,"threshold_uncertainty_score":0.006468475},"labels":[],"label_agreement":null},{"id":"W4395675842","doi":"10.1145/3657648","title":"Differentiable solver for time-dependent deformation problems with contact","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Contact Mechanics and Variational Inequalities","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Solver; Discretization; Differentiable function; Computer science; Ode; Integrator; Mathematical optimization; Finite element method; Nonlinear system; Optimization problem; Overhead (engineering); Applied mathematics; Algorithm; Mathematics; Mathematical analysis; Structural engineering; Engineering","score_opus":0.024024360787357136,"score_gpt":0.24245765215859577,"score_spread":0.21843329137123862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395675842","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012241964,0.000035658566,0.99661154,0.00005901799,0.000016665183,0.000017915998,0.000044083383,0.00036250261,0.001628384],"genre_scores_gemma":[0.11400012,0.00019439054,0.87585694,0.00020317877,0.000052665167,0.00018930218,0.00032299853,0.00088092824,0.008299448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995047,0.00007673881,0.000029860399,0.00007103525,0.00027916735,0.000038431568],"domain_scores_gemma":[0.9993505,0.0002692054,0.00006199736,0.00013901199,0.00013343268,0.00004596965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006715738,0.0007085483,0.00074569316,0.0005952252,0.00044256976,0.0012207818,0.0016169717,0.0019443607,0.009169921],"category_scores_gemma":[0.0018912626,0.00041906085,0.00090015976,0.0005185545,0.00095835933,0.0013177119,0.0018155237,0.0021289142,0.0020556424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051876887,0.00013394284,0.00089354214,0.00027702513,0.000035622244,0.00036749075,0.00024938313,0.6625773,0.026578514,0.17511822,0.0075621977,0.12615484],"study_design_scores_gemma":[0.000008289668,0.000011871289,0.000043035634,0.000007649105,0.0000023895063,0.00006668267,0.000009346824,0.9832335,0.0026483906,0.007855566,0.0061070556,0.0000062618356],"about_ca_topic_score_codex":0.0013654819,"about_ca_topic_score_gemma":0.001931323,"teacher_disagreement_score":0.009169921,"about_ca_system_score_codex":0.00064264756,"about_ca_system_score_gemma":0.0011639938,"threshold_uncertainty_score":0.030676365},"labels":[],"label_agreement":null},{"id":"W4396555758","doi":"10.1145/3662181","title":"IMESH: A DSL for Mesh Processing","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital subscriber line; Computer science; Computer graphics (images); Computational science; Telecommunications","score_opus":0.03389134941486909,"score_gpt":0.3236428621500467,"score_spread":0.2897515127351776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396555758","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046759174,0.00011849547,0.9537958,0.00016795778,0.00013294627,0.00008367195,0.0019967682,0.03872,0.0045167455],"genre_scores_gemma":[0.019959701,0.0006119979,0.92671454,0.0008412693,0.00019612294,0.0010875615,0.00937996,0.029643936,0.011564933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99716705,0.00046070726,0.000491173,0.00036254074,0.0013325656,0.00018593356],"domain_scores_gemma":[0.9972287,0.00093973236,0.00020860399,0.0007486921,0.0006756713,0.00019848869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030266517,0.0018518311,0.0013372597,0.0015760425,0.0008682693,0.0042631123,0.0057670698,0.0021410498,0.027174845],"category_scores_gemma":[0.0074511897,0.001749508,0.0028389248,0.0012437085,0.0015423797,0.0043451744,0.005198072,0.005737056,0.014801552],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035805695,0.00012519436,0.0013455208,0.001547791,0.00016423469,0.00054189365,0.0009963452,0.046103664,0.021904392,0.45388952,0.22065344,0.25236988],"study_design_scores_gemma":[0.00015324893,0.00006959688,0.00022137574,0.00021311373,0.00004181641,0.00039662633,0.000087668384,0.17346306,0.018932182,0.09691442,0.7093959,0.00011096408],"about_ca_topic_score_codex":0.00219803,"about_ca_topic_score_gemma":0.0037742942,"teacher_disagreement_score":0.027174845,"about_ca_system_score_codex":0.0015157373,"about_ca_system_score_gemma":0.0023824638,"threshold_uncertainty_score":0.090908945},"labels":[],"label_agreement":null},{"id":"W4399270167","doi":"10.1145/3658183","title":"3D-Layers: Bringing Layer-Based Color Editing to VR Painting","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Painting; Layer (electronics); Computer graphics (images); Computer science; Art; Visual arts; Materials science; Nanotechnology","score_opus":0.033789238059856036,"score_gpt":0.3085164110959008,"score_spread":0.27472717303604477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399270167","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017738018,0.00054823817,0.95643455,0.00020801423,0.00027282393,0.00016282471,0.00017514016,0.0144096045,0.010050843],"genre_scores_gemma":[0.23046736,0.00093199074,0.7530607,0.00034927763,0.00016392324,0.00023194394,0.00044951713,0.005252682,0.009092602],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903214,0.00020970656,0.00007059109,0.00014722833,0.00042652787,0.000113876595],"domain_scores_gemma":[0.9985328,0.00049338327,0.000066991204,0.00056804484,0.00017396508,0.00016491383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009074623,0.0012519617,0.0005552624,0.0010100554,0.00043836434,0.0028878066,0.0025590884,0.0010705905,0.010431186],"category_scores_gemma":[0.0041007334,0.0008431869,0.001609486,0.00055174506,0.0011311512,0.0029763144,0.0049612187,0.0021274902,0.0022219666],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075604767,0.00036456683,0.0017904335,0.0010655547,0.00031118322,0.00135402,0.0038759175,0.06763915,0.25306234,0.06045803,0.017898016,0.5914247],"study_design_scores_gemma":[0.00036748857,0.00067206286,0.002933596,0.00035690606,0.00028461817,0.0022254817,0.0007511595,0.41698608,0.18138683,0.06464146,0.32885203,0.00054231635],"about_ca_topic_score_codex":0.0014315193,"about_ca_topic_score_gemma":0.001661382,"teacher_disagreement_score":0.010431186,"about_ca_system_score_codex":0.00039097882,"about_ca_system_score_gemma":0.00038700268,"threshold_uncertainty_score":0.034895837},"labels":[],"label_agreement":null},{"id":"W4399695370","doi":"10.1145/3658230","title":"NICER: A New and Improved Consumed Endurance and Recovery Metric to Quantify Muscle Fatigue of Mid-Air Interactions","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Muscle fatigue; Computer science; Metric (unit); Gesture; Task (project management); Physical medicine and rehabilitation; Simulation; Artificial intelligence; Engineering; Electromyography; Medicine","score_opus":0.0325565326102278,"score_gpt":0.3003441657631016,"score_spread":0.2677876331528738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399695370","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19513208,0.0025729511,0.79171354,0.0002538627,0.00017111663,0.00023511758,0.0015917936,0.0047152666,0.003614319],"genre_scores_gemma":[0.86390424,0.000729304,0.12928444,0.00019779374,0.00009844382,0.00036263553,0.0017627492,0.00039867853,0.0032616104],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904674,0.0001831031,0.0000943975,0.0002269992,0.00037768332,0.00007106739],"domain_scores_gemma":[0.9980134,0.0008236425,0.00038290056,0.00021585659,0.00045759726,0.00010671826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014053389,0.0013929828,0.00087815576,0.0021037154,0.0002457333,0.00076538237,0.0009783631,0.00092306314,0.0018894532],"category_scores_gemma":[0.006064008,0.0004243687,0.0010866905,0.00078273617,0.0005019885,0.0013726498,0.0010596017,0.0005683161,0.000841912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015086457,0.0005447227,0.059889544,0.0017504601,0.0006668347,0.0003828676,0.001078185,0.19094627,0.15456271,0.0023477129,0.008087795,0.57823426],"study_design_scores_gemma":[0.00005013131,0.0013787164,0.07660827,0.000115283816,0.00022471626,0.000877851,0.00017051368,0.8987884,0.014879228,0.0015203083,0.0051711113,0.00021550078],"about_ca_topic_score_codex":0.004173224,"about_ca_topic_score_gemma":0.0060953344,"teacher_disagreement_score":0.004173224,"about_ca_system_score_codex":0.00045790413,"about_ca_system_score_gemma":0.00042388978,"threshold_uncertainty_score":0.008297861},"labels":[],"label_agreement":null},{"id":"W4399744939","doi":"10.1145/3673652","title":"A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"","keywords":"Geometry; Geometry processing; Boundary (topology); Point (geometry); Mathematics; Computer science; Manifold (fluid mechanics); Mathematical analysis; Polygon mesh","score_opus":0.015498617822680196,"score_gpt":0.3114769313384406,"score_spread":0.2959783135157604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399744939","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007306269,0.00011736371,0.9976987,0.00007805481,0.000044131935,0.000029686787,0.000021763524,0.0001801305,0.0010994882],"genre_scores_gemma":[0.030404255,0.00040839228,0.96522665,0.00008379701,0.00007329272,0.00018312378,0.00014109178,0.00030358977,0.003175875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928766,0.00014468023,0.00003329505,0.000090391986,0.00041254278,0.000031579028],"domain_scores_gemma":[0.9990527,0.0004348784,0.00006694923,0.00012525011,0.00026575956,0.000054484597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000912276,0.0010227317,0.000997313,0.00082991534,0.0008714213,0.0013202594,0.0019830924,0.0020787318,0.0075985272],"category_scores_gemma":[0.004024301,0.00049255264,0.0014414164,0.0011351958,0.00096279714,0.0018902492,0.002625331,0.0034748043,0.003088049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009046391,0.00014182908,0.0009061908,0.000614625,0.00008223528,0.00040154543,0.00039313687,0.4820985,0.024307936,0.22440597,0.013960068,0.25259757],"study_design_scores_gemma":[0.000014825565,0.000023887269,0.000080207574,0.00003176244,0.0000051221564,0.00011884768,0.00003080994,0.95240784,0.0025287548,0.02861089,0.0161285,0.000018566026],"about_ca_topic_score_codex":0.002294174,"about_ca_topic_score_gemma":0.0022307,"teacher_disagreement_score":0.0075985272,"about_ca_system_score_codex":0.0006816978,"about_ca_system_score_gemma":0.0013490083,"threshold_uncertainty_score":0.025419593},"labels":[],"label_agreement":null},{"id":"W4400702585","doi":"10.1145/3658184","title":"Simplicits: Mesh-Free, Geometry-Agnostic Elastic Simulation","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Polygon mesh; Computer science; Point cloud; Basis function; Representation (politics); Basis (linear algebra); Algorithm; Gaussian; Signed distance function; Monte Carlo method; Geometry; Computational science; Computer vision; Mathematics; Computer graphics (images); Mathematical analysis; Physics","score_opus":0.016654299836507444,"score_gpt":0.25012230151879267,"score_spread":0.2334680016822852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400702585","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016945837,0.000087462686,0.9748268,0.0002210704,0.000054848693,0.000048013884,0.00020047708,0.0022557082,0.00535974],"genre_scores_gemma":[0.4897044,0.00028732367,0.49834117,0.00029889433,0.000044752276,0.0003381278,0.00081123516,0.0017230486,0.00845091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968064,0.000058444235,0.000015271527,0.000037483867,0.00018013718,0.000027973258],"domain_scores_gemma":[0.9994716,0.00020225317,0.0000324051,0.00016190903,0.000081502476,0.000050291004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520928,0.000594852,0.0005924617,0.00040446778,0.0005171177,0.0011511467,0.0019401227,0.0012049174,0.0044760206],"category_scores_gemma":[0.002634785,0.0005413897,0.00076857157,0.0003903783,0.0010903988,0.0013406434,0.002868949,0.0015747875,0.0013446368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043294196,0.000036265083,0.0004786761,0.000046778405,0.000025873702,0.000050970186,0.000060691476,0.9440915,0.0035451911,0.02858243,0.0018290642,0.021209296],"study_design_scores_gemma":[0.000005442308,0.0000058668647,0.000024019162,0.0000038515236,0.0000014699775,0.000010029325,0.0000054769744,0.99059945,0.0007186496,0.0075215786,0.0011007083,0.000003462048],"about_ca_topic_score_codex":0.0037443088,"about_ca_topic_score_gemma":0.006322858,"teacher_disagreement_score":0.0044760206,"about_ca_system_score_codex":0.0007828854,"about_ca_system_score_gemma":0.0010809391,"threshold_uncertainty_score":0.01497376},"labels":[],"label_agreement":null},{"id":"W4400818419","doi":"10.1145/3658155","title":"Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Voronoi diagram; Computer science; Centroidal Voronoi tessellation; Artificial intelligence; Theoretical computer science; Computer graphics (images); Mathematics; Geometry","score_opus":0.010908689113206305,"score_gpt":0.24936334121787307,"score_spread":0.23845465210466676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400818419","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010733376,0.00013828692,0.98653513,0.000107482905,0.000017919028,0.000048939215,0.00015437795,0.0016684748,0.0005959198],"genre_scores_gemma":[0.2858617,0.0002468264,0.708358,0.00031001912,0.000056167653,0.00025041812,0.0020917961,0.0005968155,0.0022282072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916875,0.0001373211,0.0000336785,0.00027809502,0.0002976365,0.00008451383],"domain_scores_gemma":[0.99868757,0.0005526361,0.00014329609,0.00029127626,0.00024193521,0.00008329183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010549503,0.0012249588,0.0016669148,0.0017654132,0.0005700402,0.0013115591,0.0036840984,0.002394414,0.002459862],"category_scores_gemma":[0.00458411,0.0011326494,0.0016122222,0.0014442853,0.0011681446,0.0027050364,0.0027695904,0.0019522858,0.0014210275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022769264,0.00010844271,0.0018049154,0.00017238322,0.00009355428,0.00014190804,0.00021381667,0.62827116,0.01000761,0.012654484,0.005240308,0.3410637],"study_design_scores_gemma":[0.0000066898006,0.000020162244,0.000083330466,0.0000075462754,0.000004557921,0.000037848255,0.000013663626,0.9935854,0.0013294785,0.004242755,0.000662117,0.0000066069206],"about_ca_topic_score_codex":0.007104224,"about_ca_topic_score_gemma":0.007817068,"teacher_disagreement_score":0.007104224,"about_ca_system_score_codex":0.0009208127,"about_ca_system_score_gemma":0.0010251518,"threshold_uncertainty_score":0.014125705},"labels":[],"label_agreement":null},{"id":"W4400819107","doi":"10.1145/3658140","title":"Interactive Character Control with Auto-Regressive Motion Diffusion Models","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Character (mathematics); Motion (physics); Computer science; Diffusion; Computer graphics (images); Control (management); Computer vision; Artificial intelligence; Mathematics; Geometry; Physics","score_opus":0.011911759750565085,"score_gpt":0.21910953310619036,"score_spread":0.20719777335562528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400819107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026096575,0.00034875894,0.9683284,0.00016468394,0.000051488965,0.00004975949,0.00005670845,0.001209632,0.0036939573],"genre_scores_gemma":[0.86200655,0.00030685455,0.13030095,0.000107456595,0.000034957982,0.0001411623,0.00011378092,0.0001471525,0.0068410807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980587,0.00003589363,0.0000094431525,0.00006263752,0.00006388896,0.00002233269],"domain_scores_gemma":[0.9996438,0.00020099136,0.000041660696,0.000035097684,0.0000527801,0.00002556486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042840507,0.00059429836,0.0004115147,0.0002870516,0.00021118166,0.00047288573,0.0008955047,0.0005892071,0.0029065153],"category_scores_gemma":[0.0010769059,0.0004264757,0.0005677514,0.00019469485,0.00042971713,0.00066757976,0.00074028794,0.0010712266,0.0003675221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070459595,0.00005428954,0.00024970042,0.00005189046,0.000022004286,0.00004283081,0.000049774524,0.9397047,0.011303598,0.0042457213,0.00049762306,0.043707293],"study_design_scores_gemma":[0.0000039174283,0.000014235266,0.000037499132,0.000001983479,0.000001949942,0.000006299084,0.0000014191801,0.9983039,0.00095164514,0.00040456932,0.0002702488,0.000002309989],"about_ca_topic_score_codex":0.005978839,"about_ca_topic_score_gemma":0.0058989935,"teacher_disagreement_score":0.005978839,"about_ca_system_score_codex":0.00060329237,"about_ca_system_score_gemma":0.0004190067,"threshold_uncertainty_score":0.011888087},"labels":[],"label_agreement":null},{"id":"W4400819112","doi":"10.1145/3658129","title":"BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada); Simon Fraser University","funders":"","keywords":"Generative grammar; Geometry; Diffusion; Computer science; Mathematics; Physics; Artificial intelligence","score_opus":0.01417427411730718,"score_gpt":0.21976979909817598,"score_spread":0.2055955249808688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400819112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006541832,0.0011570884,0.9806308,0.00034396054,0.00009231238,0.000110816705,0.0013533277,0.0069515975,0.0028183428],"genre_scores_gemma":[0.2381254,0.0016999597,0.7234176,0.0010649882,0.0001860873,0.00060049875,0.0117261335,0.003981461,0.01919789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921393,0.00018753903,0.00003173389,0.00025712137,0.00023806229,0.000071555645],"domain_scores_gemma":[0.9987766,0.000722994,0.00008355458,0.00021749845,0.00014076491,0.000058541482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011903023,0.0016164413,0.0014932666,0.0018725441,0.0005959862,0.0019741727,0.004012728,0.0025771128,0.007464019],"category_scores_gemma":[0.0040138317,0.0015064267,0.003655615,0.0016055959,0.0010989514,0.0017425168,0.0022967118,0.0026801392,0.0050401934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016420356,0.00011429929,0.0018516917,0.00028535107,0.00019235404,0.00029602172,0.00023399832,0.78107876,0.0057983752,0.02663057,0.015116344,0.16823794],"study_design_scores_gemma":[0.000017173874,0.000019179572,0.00010278218,0.000015010092,0.000013870765,0.00010137656,0.000010019629,0.9861813,0.0009182401,0.007894929,0.0047104997,0.000015578775],"about_ca_topic_score_codex":0.013513885,"about_ca_topic_score_gemma":0.023620652,"teacher_disagreement_score":0.013513885,"about_ca_system_score_codex":0.001436497,"about_ca_system_score_gemma":0.0011407726,"threshold_uncertainty_score":0.02687049},"labels":[],"label_agreement":null},{"id":"W4400819487","doi":"10.1145/3658172","title":"S3: Speech, Script and Scene driven Head and Eye Animation","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Computer science; Animation; Computer graphics (images); Head (geology); Computer facial animation; Artificial intelligence; Computer vision; Computer animation; Speech recognition","score_opus":0.019613478951137613,"score_gpt":0.2959048077076894,"score_spread":0.27629132875655177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400819487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032672476,0.0002930304,0.9059378,0.0002076302,0.00025945462,0.00032919066,0.001251092,0.047493093,0.011556187],"genre_scores_gemma":[0.2564483,0.00030014775,0.7183735,0.00023976534,0.0001000369,0.0003544822,0.0036017045,0.0056001423,0.01498195],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996891,0.000053540116,0.000013529086,0.00010171704,0.00011020368,0.000031854735],"domain_scores_gemma":[0.99961865,0.0001386359,0.000021404541,0.000087197666,0.00008152596,0.000052553758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004691945,0.0011660197,0.0005170716,0.0006824252,0.00035372766,0.00089469575,0.0010699864,0.0009243213,0.013716067],"category_scores_gemma":[0.0019394747,0.00048417295,0.00087047357,0.0002848901,0.0005779311,0.0006150901,0.0017410129,0.0008056505,0.003838193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010459647,0.00019660778,0.0024440542,0.00091895787,0.00021576509,0.00062572287,0.0014429026,0.06453171,0.21358915,0.012588072,0.045179993,0.65722114],"study_design_scores_gemma":[0.00011335766,0.00022907525,0.0014436647,0.00007543216,0.000054293927,0.000538167,0.00024151737,0.84386134,0.091587625,0.007203153,0.054589786,0.0000625184],"about_ca_topic_score_codex":0.002482056,"about_ca_topic_score_gemma":0.004816993,"teacher_disagreement_score":0.013716067,"about_ca_system_score_codex":0.00038534254,"about_ca_system_score_gemma":0.00047716766,"threshold_uncertainty_score":0.045884848},"labels":[],"label_agreement":null},{"id":"W4400819632","doi":"10.1145/3658166","title":"A Free-Space Diffraction BSDF","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Path tracing; Ray tracing (physics); Rendering (computer graphics); Beam tracing; Computer graphics; Global illumination; Diffraction; Computer science; Distributed ray tracing; Polygon mesh; Computer graphics (images); Geometry; Optics; Mathematics; Physics","score_opus":0.022926536359409985,"score_gpt":0.2923158127393505,"score_spread":0.2693892763799405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400819632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0118080815,0.00011565912,0.97895664,0.00010859151,0.000092193986,0.000052329146,0.00018363907,0.00059112435,0.008091757],"genre_scores_gemma":[0.407693,0.0006668206,0.57495683,0.0002454389,0.0000933416,0.00017664877,0.0007093308,0.0009207812,0.014537822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927884,0.000094767915,0.000024604862,0.000068732625,0.00047580397,0.00005719089],"domain_scores_gemma":[0.99901617,0.0003094723,0.00004513085,0.00017914658,0.0003844282,0.000065682354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005748322,0.00070332095,0.0004978651,0.0009405006,0.0005625911,0.0019832095,0.0013726314,0.0016980035,0.0063202493],"category_scores_gemma":[0.0030632056,0.00054120965,0.00085181394,0.00091207476,0.0009065601,0.0023699112,0.0012096842,0.0014594774,0.0015864319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015799057,0.00014446591,0.0024840347,0.0003628125,0.00005588252,0.0006218538,0.00087729946,0.47709692,0.08759442,0.30393684,0.008237325,0.11843022],"study_design_scores_gemma":[0.000020730822,0.000041000865,0.0004021641,0.000030418216,0.000010580133,0.0004001636,0.00007496677,0.94185036,0.013008408,0.026273096,0.01784453,0.000043538144],"about_ca_topic_score_codex":0.0030862305,"about_ca_topic_score_gemma":0.0022812758,"teacher_disagreement_score":0.0063202493,"about_ca_system_score_codex":0.0010658015,"about_ca_system_score_gemma":0.0011296899,"threshold_uncertainty_score":0.021143317},"labels":[],"label_agreement":null},{"id":"W4400819821","doi":"10.1145/3658158","title":"Surface-Filling Curve Flows via Implicit Medial Axes","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Surface (topology); Computer science; Simple (philosophy); Algorithm; Ideal (ethics); Flow (mathematics); Topology (electrical circuits); Balanced flow; Surface fitting; Geometry; Mathematics; Mathematical analysis","score_opus":0.02762099907609512,"score_gpt":0.30028721011410237,"score_spread":0.27266621103800726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400819821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004425747,0.000054836997,0.99266607,0.00006145618,0.000028268643,0.000047189882,0.000043479828,0.0014199051,0.0012530255],"genre_scores_gemma":[0.11548702,0.00014672853,0.8803273,0.000058774334,0.000040492785,0.00014882414,0.00019427105,0.0011764978,0.0024201656],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926776,0.00008707442,0.00003076873,0.00010300993,0.00044921544,0.00006223706],"domain_scores_gemma":[0.99886876,0.00041507944,0.00013136142,0.00021307041,0.00028991036,0.00008177203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010693051,0.001375532,0.0008593009,0.0021134878,0.00073095004,0.0017784516,0.0017354119,0.0014089234,0.0062498325],"category_scores_gemma":[0.0046068383,0.0008357004,0.0010019696,0.000928257,0.0014582959,0.001712326,0.0027403438,0.0019508926,0.0022430494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022786227,0.00009306067,0.0009092439,0.00039222196,0.000057313067,0.00022228283,0.0006970125,0.33383903,0.038252134,0.120385975,0.010172397,0.4947514],"study_design_scores_gemma":[0.000043448716,0.000057675203,0.000089782785,0.00003308709,0.000006042588,0.00012249238,0.000036954465,0.9415656,0.01211018,0.034726646,0.011180241,0.000027926795],"about_ca_topic_score_codex":0.0016937,"about_ca_topic_score_gemma":0.0021300542,"teacher_disagreement_score":0.0062498325,"about_ca_system_score_codex":0.00064087164,"about_ca_system_score_gemma":0.0010782608,"threshold_uncertainty_score":0.02090782},"labels":[],"label_agreement":null},{"id":"W4400820338","doi":"10.1145/3658222","title":"EASI-Tex: Edge-Aware Mesh Texturing from Single Image","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer graphics (images); Computer science; Enhanced Data Rates for GSM Evolution; Computer vision; Artificial intelligence; Image (mathematics)","score_opus":0.017636646352193558,"score_gpt":0.22651465351929143,"score_spread":0.20887800716709787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400820338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016365422,0.00014044694,0.97193897,0.000079497506,0.00009273181,0.000083014536,0.00017433258,0.008935059,0.0021905694],"genre_scores_gemma":[0.23627642,0.00027131027,0.75013375,0.00025575384,0.00006576218,0.00015707537,0.00085211004,0.0027423468,0.009245444],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997453,0.000020793788,0.000013195824,0.00007537093,0.00011890067,0.000026376612],"domain_scores_gemma":[0.99946004,0.00013190882,0.000047649715,0.00026158328,0.00006533885,0.00003353353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000346703,0.00091031275,0.0005853067,0.000655627,0.00022811441,0.0008665609,0.0015347076,0.00079872384,0.005512969],"category_scores_gemma":[0.001791286,0.00042326757,0.00088953145,0.00040100864,0.00058062025,0.0012716334,0.001471851,0.0011476207,0.0018963035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038657192,0.000107544605,0.00081594643,0.0003380108,0.00009125155,0.00034619827,0.00021673556,0.10079104,0.267936,0.008334576,0.010158105,0.6104779],"study_design_scores_gemma":[0.000039288265,0.00014434481,0.00061258883,0.000022253405,0.000024361649,0.00045897937,0.00005503717,0.8285289,0.15188101,0.0072072647,0.010988665,0.000037329475],"about_ca_topic_score_codex":0.00086502393,"about_ca_topic_score_gemma":0.0015871638,"teacher_disagreement_score":0.005512969,"about_ca_system_score_codex":0.0003900206,"about_ca_system_score_gemma":0.00030286887,"threshold_uncertainty_score":0.01844275},"labels":[],"label_agreement":null},{"id":"W4400820783","doi":"10.1145/3658193","title":"SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Google (Canada)","funders":"","keywords":"Radiance; Computer science; Computer graphics (images); Computer vision; Artificial intelligence; Remote sensing; Geology","score_opus":0.026299454503153373,"score_gpt":0.2967453433931873,"score_spread":0.27044588889003396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400820783","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006505177,0.00018819429,0.98163307,0.00011961992,0.000048619473,0.000037106918,0.00032038492,0.008696296,0.0024515968],"genre_scores_gemma":[0.19195582,0.00034095263,0.7982537,0.00018023401,0.00004846129,0.00016181191,0.0015429354,0.0021979143,0.005318106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999874,0.000020453066,0.0000041513554,0.00002188106,0.000065186374,0.0000142840845],"domain_scores_gemma":[0.9998287,0.000069140944,0.000014176675,0.00003787711,0.000032423915,0.000017669072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033771517,0.0008294161,0.00044380632,0.00042349278,0.0001950107,0.00066977896,0.0016338931,0.00072765956,0.007523395],"category_scores_gemma":[0.0010384796,0.00040463053,0.00069215073,0.0003687703,0.00035192946,0.0009934542,0.0010065895,0.0011302276,0.0017280006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029980746,0.00011024089,0.000816935,0.00028636376,0.000094203075,0.00019259678,0.00021798897,0.5246573,0.06184264,0.019180423,0.03463002,0.3576715],"study_design_scores_gemma":[0.00003506204,0.000023195245,0.0000970864,0.000010373694,0.0000050890158,0.00005157218,0.000014087612,0.98021597,0.007606375,0.003679334,0.008247163,0.000014723098],"about_ca_topic_score_codex":0.002452713,"about_ca_topic_score_gemma":0.005425644,"teacher_disagreement_score":0.007523395,"about_ca_system_score_codex":0.00037079887,"about_ca_system_score_gemma":0.00052335224,"threshold_uncertainty_score":0.02516824},"labels":[],"label_agreement":null},{"id":"W4403780069","doi":"10.1145/3687984","title":"Colorful Diffuse Intrinsic Image Decomposition in the Wild","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Specularity; Computer vision; Specular reflection; Artificial intelligence; Computer science; Global illumination; Shading; Computational photography; Ground truth; Image editing; Pixel; Image (mathematics); Albedo (alchemy); Diffuse reflection; Residual; Computer graphics (images); Optics; Rendering (computer graphics); Image processing; Algorithm; Physics","score_opus":0.014894940645567992,"score_gpt":0.30102999627403754,"score_spread":0.2861350556284695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403780069","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009100366,0.00013311477,0.98868,0.00006834181,0.000027002103,0.000021097276,0.00018591888,0.00070667325,0.0010775286],"genre_scores_gemma":[0.27973473,0.000774084,0.7087892,0.00030862313,0.00009443885,0.00012489609,0.0022366152,0.0007581702,0.0071791327],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999613,0.00006346077,0.000011642844,0.00012476798,0.0001428445,0.000044254914],"domain_scores_gemma":[0.99958485,0.00006608338,0.000034046927,0.00016616246,0.000117745825,0.00003107473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963365,0.0009964653,0.00069252553,0.00054097216,0.00018210111,0.0013121101,0.0009764355,0.0006679584,0.0023884587],"category_scores_gemma":[0.0010819023,0.00032498257,0.00093921204,0.0004947871,0.0006537308,0.0012311935,0.0010542349,0.0016367346,0.001593815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032609302,0.00017131312,0.0016634852,0.0004064496,0.00012734359,0.00023504798,0.00024428093,0.28151605,0.20818324,0.036177125,0.014336026,0.4566136],"study_design_scores_gemma":[0.000011556737,0.000041336098,0.0008541379,0.000018525154,0.00002005568,0.00018930505,0.000046353518,0.9563699,0.02204532,0.013729289,0.00665151,0.000022783985],"about_ca_topic_score_codex":0.0021709898,"about_ca_topic_score_gemma":0.0037886037,"teacher_disagreement_score":0.0023884587,"about_ca_system_score_codex":0.00042661253,"about_ca_system_score_gemma":0.0006308113,"threshold_uncertainty_score":0.007990181},"labels":[],"label_agreement":null},{"id":"W4404524696","doi":"10.1145/3687934","title":"3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ray tracing (physics); Beam tracing; Tracing; Distributed ray tracing; Computer graphics (images); Computer science; Gaussian; Particle (ecology); Computer vision; Rendering (computer graphics); Physics; Optics; Geology","score_opus":0.029343536497010637,"score_gpt":0.29907013614978384,"score_spread":0.2697265996527732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404524696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029119027,0.00006121127,0.9904975,0.000043152362,0.000023952554,0.00003729404,0.0001001147,0.0047322335,0.0015926448],"genre_scores_gemma":[0.13248274,0.00036733222,0.85867566,0.00009281565,0.00003125765,0.00014650912,0.0006352054,0.002866438,0.0047021145],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945945,0.00007774123,0.000018461356,0.000059793238,0.0003294718,0.000055171175],"domain_scores_gemma":[0.9990728,0.00030788808,0.00006113817,0.00024100771,0.00025434984,0.00006282471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000774503,0.0009993536,0.00082072435,0.0011260493,0.0006611748,0.0019395531,0.0018580244,0.001134932,0.007513301],"category_scores_gemma":[0.0024852622,0.00073188473,0.0010572321,0.0014151853,0.0007044389,0.0015242985,0.0018074844,0.001490343,0.0027266287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039252595,0.00023696656,0.0035936194,0.00038148684,0.0001470807,0.00045048707,0.0010504425,0.36773044,0.040517345,0.08415199,0.029196473,0.47215107],"study_design_scores_gemma":[0.000031802963,0.000019008716,0.00019670455,0.00001167086,0.0000065302715,0.00009627771,0.000033595494,0.9739126,0.009359694,0.006240798,0.010070552,0.000020827873],"about_ca_topic_score_codex":0.010447383,"about_ca_topic_score_gemma":0.013852459,"teacher_disagreement_score":0.010447383,"about_ca_system_score_codex":0.000873505,"about_ca_system_score_gemma":0.001688105,"threshold_uncertainty_score":0.025134563},"labels":[],"label_agreement":null},{"id":"W4404525549","doi":"10.1145/3687759","title":"GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer graphics (images); Object (grammar); Gaussian; Quality (philosophy); Artificial intelligence; Computer vision","score_opus":0.04158197261549664,"score_gpt":0.3036744679080802,"score_spread":0.2620924952925836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404525549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022862734,0.00046138986,0.958824,0.00022926877,0.00007369372,0.00010377565,0.0005520385,0.015302495,0.0015905667],"genre_scores_gemma":[0.16425538,0.0005795239,0.82456136,0.00039763298,0.00004499921,0.000119486525,0.004251561,0.0026437468,0.0031462319],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999209,0.000082491395,0.000024514562,0.00014495678,0.00045226043,0.0000867905],"domain_scores_gemma":[0.99936146,0.00014737493,0.00005610471,0.0002274823,0.00013712877,0.00007044956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011186523,0.0016237823,0.0014045374,0.0012442233,0.0003853045,0.0018402867,0.0023768262,0.0013487687,0.0027921612],"category_scores_gemma":[0.0024217188,0.00070443854,0.0017751262,0.0011885694,0.00084773905,0.0014765018,0.0025040242,0.0022117672,0.001636314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008896788,0.0003816035,0.0025653925,0.00058686273,0.00047096494,0.0005131683,0.0005340392,0.2806789,0.08388762,0.011147163,0.03139946,0.5869452],"study_design_scores_gemma":[0.000082542945,0.0000738966,0.0004836356,0.000019958485,0.000024868292,0.00036028115,0.00007035987,0.96891934,0.020191288,0.0034458197,0.006275558,0.000052420026],"about_ca_topic_score_codex":0.009976899,"about_ca_topic_score_gemma":0.015756251,"teacher_disagreement_score":0.009976899,"about_ca_system_score_codex":0.000761717,"about_ca_system_score_gemma":0.0015817109,"threshold_uncertainty_score":0.019837618},"labels":[],"label_agreement":null},{"id":"W4404525865","doi":"10.1145/3687905","title":"Architectural Co-LOD Generation","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Computer science; Computer graphics (images)","score_opus":0.04678238988166028,"score_gpt":0.26362076838994153,"score_spread":0.21683837850828125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404525865","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013242794,0.0001743822,0.9600499,0.00016078023,0.00015394254,0.00023034745,0.0014251038,0.009544988,0.015017813],"genre_scores_gemma":[0.2387592,0.00034722048,0.7402121,0.00013583819,0.000043804986,0.0003703565,0.007432533,0.0033449703,0.009354033],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987833,0.00013947673,0.000044836925,0.00019158731,0.00072452455,0.00011630657],"domain_scores_gemma":[0.9983772,0.000261013,0.000048380076,0.0007965523,0.0004310947,0.0000857449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077739265,0.0014349376,0.00079561165,0.00245277,0.00079621794,0.0029553853,0.0017891463,0.0011184041,0.010572824],"category_scores_gemma":[0.0038296045,0.0007730512,0.0017612962,0.0018818877,0.0004835475,0.0015379216,0.0048727645,0.0015337571,0.0046852767],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002968985,0.0002364128,0.005044732,0.0007604371,0.00020959023,0.00083587004,0.0015391799,0.15565431,0.05322293,0.05409807,0.0788671,0.64923453],"study_design_scores_gemma":[0.00005352356,0.000063325926,0.0017913263,0.00007747542,0.00008097856,0.0008021084,0.0005459744,0.7852921,0.035692416,0.03440022,0.1411145,0.000086067994],"about_ca_topic_score_codex":0.0025380962,"about_ca_topic_score_gemma":0.0055037644,"teacher_disagreement_score":0.010572824,"about_ca_system_score_codex":0.0005819325,"about_ca_system_score_gemma":0.0008545646,"threshold_uncertainty_score":0.035369635},"labels":[],"label_agreement":null},{"id":"W4404526156","doi":"10.1145/3687906","title":"A Flexible Mold for Facade Panel Fabrication","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mold; Facade; Fabrication; Engineering drawing; Computer science; Computer graphics (images); Flat panel; Mechanical engineering; Architectural engineering; Engineering; Materials science; Composite material; Structural engineering","score_opus":0.04595196196589784,"score_gpt":0.2725057103301369,"score_spread":0.22655374836423903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404526156","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08353529,0.00015795573,0.903423,0.000127361,0.000063887775,0.000083733874,0.00012889806,0.0016947322,0.010785089],"genre_scores_gemma":[0.4718879,0.00015220609,0.52390355,0.000046601202,0.000011888094,0.00010781134,0.00012636257,0.0002953634,0.003468371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997924,0.000015846355,0.000009503701,0.000041533665,0.00011630533,0.000024351642],"domain_scores_gemma":[0.9997781,0.00005013142,0.000042129468,0.00009236369,0.000021015003,0.000016401626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018703545,0.0004389129,0.0002093818,0.00027090163,0.00030145037,0.0004011937,0.00044212598,0.00036875517,0.003280163],"category_scores_gemma":[0.00051744457,0.0002986322,0.000309605,0.00021153089,0.00042125772,0.00048191193,0.00073595217,0.000816521,0.00092637155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007820028,0.00008598898,0.0010413026,0.000197177,0.00002088576,0.00022488306,0.0001547431,0.22106747,0.59450305,0.026707971,0.0018599766,0.15405843],"study_design_scores_gemma":[0.000033367618,0.00034631527,0.0014479541,0.0000455451,0.000015593248,0.00045926683,0.00007707709,0.5257922,0.4301622,0.0071766786,0.03439418,0.000049630013],"about_ca_topic_score_codex":0.0003992991,"about_ca_topic_score_gemma":0.0010796008,"teacher_disagreement_score":0.003280163,"about_ca_system_score_codex":0.0002983203,"about_ca_system_score_gemma":0.00045553385,"threshold_uncertainty_score":0.010973215},"labels":[],"label_agreement":null},{"id":"W4404526604","doi":"10.1145/3687902","title":"A Generalized Ray Formulation For Wave-Optical Light Transport","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ray tracing (physics); Computer science; Physics; Optics; Computer graphics (images)","score_opus":0.024375722022443133,"score_gpt":0.2765380211430187,"score_spread":0.25216229912057553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404526604","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025639043,0.0004487123,0.9900333,0.00034436412,0.00015184468,0.00004248527,0.00015824291,0.00013920304,0.0061179027],"genre_scores_gemma":[0.22057028,0.0037932082,0.71668935,0.0008705985,0.00068715966,0.00054662296,0.00075955776,0.00084712566,0.055236112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946064,0.00015804013,0.000022358816,0.00008488938,0.000221502,0.000052581694],"domain_scores_gemma":[0.99951315,0.00017677761,0.000062117484,0.00006342975,0.00014191441,0.000042691983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084872625,0.0013593115,0.0007272741,0.0010090653,0.0005643893,0.0024187083,0.0016657567,0.0019170154,0.006157265],"category_scores_gemma":[0.0016515622,0.0005770719,0.0010935831,0.0011273453,0.0013336893,0.0037869255,0.0013799677,0.0023677815,0.0016474051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027446995,0.000030419673,0.00019496691,0.00009446335,0.000014465316,0.000113344664,0.00013209911,0.13849494,0.004160417,0.8378646,0.0038988662,0.014973902],"study_design_scores_gemma":[0.000013966572,0.000039883478,0.00007595967,0.000017099917,0.000008469038,0.00008898125,0.000035987385,0.8520584,0.0007323923,0.13185829,0.015048797,0.000021703512],"about_ca_topic_score_codex":0.0039613238,"about_ca_topic_score_gemma":0.003277654,"teacher_disagreement_score":0.006157265,"about_ca_system_score_codex":0.0013548048,"about_ca_system_score_gemma":0.0013440812,"threshold_uncertainty_score":0.020598173},"labels":[],"label_agreement":null},{"id":"W4404526681","doi":"10.1145/3687955","title":"Skeleton-Driven Inbetweening of Bitmap Character Drawings","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Character (mathematics); Bitmap; Computer graphics (images); Computer science; Skeleton (computer programming); Character animation; Engineering drawing; Animation; Mathematics; Geometry; Programming language; Computer animation; Engineering","score_opus":0.021074225975353293,"score_gpt":0.2702456496950789,"score_spread":0.24917142371972562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404526681","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07866384,0.0004142185,0.87000525,0.00023465283,0.00022349322,0.0002968452,0.00043162474,0.037214726,0.012515248],"genre_scores_gemma":[0.4716111,0.00059544493,0.5048768,0.000278857,0.0000738515,0.00020642063,0.0014368094,0.003762515,0.017158147],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915993,0.000108859,0.000040382678,0.00030530844,0.00030379463,0.00008169974],"domain_scores_gemma":[0.9993886,0.00015939945,0.00008050063,0.00020800339,0.00009005383,0.00007341181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005890463,0.0014583248,0.0010540024,0.0008571285,0.0004994658,0.0013743358,0.0023093268,0.001100568,0.0129606165],"category_scores_gemma":[0.0022913509,0.00086701097,0.0009494929,0.0006960157,0.00060895516,0.0015866071,0.0020858063,0.0010782989,0.0031913086],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007944893,0.00022251731,0.0015831965,0.0003843425,0.00008847346,0.0008288006,0.00073501753,0.0785178,0.15619335,0.0076630116,0.012958449,0.7400305],"study_design_scores_gemma":[0.000067803594,0.0002501071,0.002069721,0.000057269,0.000044257937,0.000771367,0.00014159785,0.856577,0.10614132,0.0059411484,0.027854169,0.000084302585],"about_ca_topic_score_codex":0.0016031655,"about_ca_topic_score_gemma":0.0030377556,"teacher_disagreement_score":0.0129606165,"about_ca_system_score_codex":0.00053142256,"about_ca_system_score_gemma":0.0004007134,"threshold_uncertainty_score":0.04335755},"labels":[],"label_agreement":null},{"id":"W4404527184","doi":"10.1145/3687943","title":"Efficient Image-Space Shape Splatting for Monte Carlo Rendering","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Rendering (computer graphics); Monte Carlo method; Computer vision; Space (punctuation); Image-based modeling and rendering; Artificial intelligence; Mathematics","score_opus":0.029619807876158165,"score_gpt":0.30507763168526575,"score_spread":0.2754578238091076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404527184","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002708972,0.000038336588,0.99494666,0.000043690245,0.000014021275,0.000023120858,0.000020071107,0.0012372737,0.0009679604],"genre_scores_gemma":[0.13403001,0.00014014055,0.8612881,0.000096585594,0.000037495705,0.00012454615,0.00016704688,0.0015685922,0.00254757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994574,0.0000927195,0.00002232214,0.000052329593,0.00032289283,0.000052377276],"domain_scores_gemma":[0.9988218,0.00047451557,0.000059497834,0.00032553115,0.0002389089,0.00007976267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008330624,0.0007953668,0.0008871521,0.00077450334,0.0005805176,0.0015572321,0.0016978242,0.0010993598,0.007830461],"category_scores_gemma":[0.0041818665,0.00058857957,0.0011182517,0.000717948,0.0007873365,0.0013022418,0.0018148007,0.0020431506,0.0022053092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038501996,0.00017067113,0.0012544306,0.00022027912,0.00007736707,0.00022690295,0.000522048,0.4127197,0.06728714,0.10292844,0.00767561,0.4065324],"study_design_scores_gemma":[0.00001251668,0.000010297944,0.000053016323,0.000005209669,0.0000037992706,0.000046989084,0.000013562687,0.98163235,0.0065162303,0.009498549,0.0021984363,0.000009044922],"about_ca_topic_score_codex":0.0028975275,"about_ca_topic_score_gemma":0.0044250954,"teacher_disagreement_score":0.007830461,"about_ca_system_score_codex":0.0010862837,"about_ca_system_score_gemma":0.0011113479,"threshold_uncertainty_score":0.026195526},"labels":[],"label_agreement":null},{"id":"W4404527384","doi":"10.1145/3687946","title":"Trading Spaces: Adaptive Subspace Time Integration for Contacting Elastodynamics","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Canada Research Chairs","keywords":"Subspace topology; Computer science; Algorithm; Artificial intelligence","score_opus":0.11127334329563668,"score_gpt":0.39384024087495745,"score_spread":0.28256689757932074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404527384","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034341097,0.00006646293,0.960772,0.00013555284,0.00003023733,0.00005633486,0.00009246968,0.0011433406,0.003362619],"genre_scores_gemma":[0.7636108,0.00010538881,0.23223318,0.000119103395,0.00002289993,0.00021013347,0.0001808926,0.00041531323,0.0031023007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996277,0.00010936907,0.000016408701,0.000041348678,0.00016344816,0.00004162734],"domain_scores_gemma":[0.9990964,0.0004417821,0.000085843574,0.00016477323,0.000120344834,0.00009088081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006099525,0.0005096462,0.00061588496,0.00027680927,0.00032647655,0.0008817073,0.0014891359,0.000930009,0.0036155821],"category_scores_gemma":[0.0032051606,0.0003139973,0.00041226152,0.00031200753,0.00090792024,0.00092639145,0.0016340199,0.001124436,0.0006034341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056751593,0.00003337645,0.000524625,0.000020544698,0.0000114714485,0.000031983687,0.00004744827,0.97781384,0.0021608365,0.008602734,0.00049062306,0.0102057895],"study_design_scores_gemma":[0.0000022965867,0.000005554664,0.0000100309635,6.883862e-7,4.162531e-7,0.0000025997592,0.0000021180465,0.9986053,0.00027940358,0.0009437362,0.00014671701,0.0000012315085],"about_ca_topic_score_codex":0.0038136134,"about_ca_topic_score_gemma":0.003925526,"teacher_disagreement_score":0.0038136134,"about_ca_system_score_codex":0.00060124655,"about_ca_system_score_gemma":0.00090110535,"threshold_uncertainty_score":0.012095332},"labels":[],"label_agreement":null},{"id":"W4407372553","doi":"10.1145/3730826","title":"Fast Subspace Fluid Simulation with a Temporally-Aware Basis","year":2025,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subspace topology; Basis (linear algebra); Computer science; Mathematics; Artificial intelligence; Geometry","score_opus":0.01575141604132792,"score_gpt":0.24630768954635743,"score_spread":0.2305562735050295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407372553","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040978752,0.00010665196,0.9513356,0.00024050396,0.00005401154,0.00005241222,0.00013541643,0.0011723601,0.0059242733],"genre_scores_gemma":[0.47092485,0.00018503155,0.5234305,0.00014683862,0.00003366965,0.00023531164,0.00031789698,0.00046128457,0.004264499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985147,0.00003772451,0.0000049905675,0.000013710802,0.00007218174,0.000019838153],"domain_scores_gemma":[0.999741,0.000086382664,0.00002473145,0.00005329765,0.00006082262,0.000033669585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002839735,0.0003398664,0.00038179383,0.0002835804,0.00034988497,0.00064966106,0.00073161424,0.0006110307,0.0022363767],"category_scores_gemma":[0.0009783417,0.00023108987,0.00039805725,0.0002707302,0.00049087004,0.00064373866,0.0010602539,0.0007320341,0.00057836756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072401905,0.000065207874,0.00070670346,0.000057600766,0.000022031943,0.000080814236,0.00009866718,0.92686874,0.018106395,0.023949677,0.0016485875,0.028323065],"study_design_scores_gemma":[0.000004382386,0.000005590002,0.000014562956,0.0000014044359,6.836976e-7,0.0000051788284,0.000002631372,0.99750656,0.0010287432,0.00077635323,0.0006516113,0.0000023447337],"about_ca_topic_score_codex":0.0035052917,"about_ca_topic_score_gemma":0.003633286,"teacher_disagreement_score":0.0035052917,"about_ca_system_score_codex":0.00035371448,"about_ca_system_score_gemma":0.0011400311,"threshold_uncertainty_score":0.007481396},"labels":[],"label_agreement":null},{"id":"W4408955770","doi":"10.1145/3727143","title":"SpotLessSplats: Ignoring Distractors in 3D Gaussian Splatting","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Google (Canada); University of Toronto","funders":"","keywords":"Computer science; Computer graphics (images); Gaussian; Artificial intelligence; Computer vision; Physics","score_opus":0.019483460741835927,"score_gpt":0.29961070741620793,"score_spread":0.280127246674372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408955770","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016547076,0.00019508027,0.9795288,0.00011760084,0.00002921599,0.00003389369,0.00007807442,0.0021138103,0.0013563978],"genre_scores_gemma":[0.25596052,0.00053699076,0.73504174,0.0004013124,0.000059676164,0.00009357084,0.00072839734,0.002246403,0.0049313596],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993381,0.000111254565,0.000023291797,0.00009575536,0.00037712278,0.00005442153],"domain_scores_gemma":[0.99903995,0.00035923455,0.00007757206,0.00027524985,0.00018537894,0.0000626176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010410572,0.0012271239,0.0009162661,0.00055729656,0.0004032291,0.0014035886,0.0016863943,0.0010254297,0.0033710073],"category_scores_gemma":[0.0032238632,0.0007661526,0.0008208675,0.00073843275,0.00120064,0.001882711,0.0023279374,0.0016940548,0.0016437632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005997149,0.00018300184,0.0021692417,0.0003654566,0.00016340007,0.00033611845,0.0007416142,0.30626628,0.09661247,0.016308958,0.011618414,0.56463534],"study_design_scores_gemma":[0.00002475533,0.00007051996,0.0003257,0.000018900462,0.000019869607,0.00023353328,0.000055797376,0.9700355,0.019733347,0.005163942,0.0042864317,0.00003158625],"about_ca_topic_score_codex":0.0035752505,"about_ca_topic_score_gemma":0.006042342,"teacher_disagreement_score":0.0035752505,"about_ca_system_score_codex":0.00042609495,"about_ca_system_score_gemma":0.0011616134,"threshold_uncertainty_score":0.011277139},"labels":[],"label_agreement":null},{"id":"W4409812073","doi":"10.1145/3732285","title":"Policy-Space Diffusion for Physics-Based Character Animation","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Character (mathematics); Animation; Computer graphics (images); Character animation; Diffusion; Space (punctuation); Computer science; Statistical physics; Physics; Geometry; Computer animation; Mathematics; Thermodynamics","score_opus":0.015563840752860271,"score_gpt":0.2608241407879752,"score_spread":0.24526030003511495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409812073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046516567,0.00041885136,0.94778895,0.00045336835,0.00010096358,0.000077790966,0.00017071639,0.0017918024,0.002681036],"genre_scores_gemma":[0.8450158,0.0003467992,0.14921375,0.00018267818,0.00004791512,0.00021389245,0.00037922873,0.00038736683,0.0042125317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961144,0.00013935097,0.000018700102,0.00010377395,0.000088161556,0.0000385297],"domain_scores_gemma":[0.9984848,0.0009939708,0.000107960994,0.00018933295,0.00013884841,0.00008502491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011122449,0.00061407936,0.0006167376,0.00050378824,0.00040277885,0.00077615876,0.0008935921,0.0010467492,0.0032348314],"category_scores_gemma":[0.006338753,0.00053521805,0.0005796874,0.00041063924,0.00088311196,0.0012079903,0.0010055634,0.0020308238,0.00054623303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006781611,0.00004715461,0.00045327327,0.000045270153,0.000016677766,0.000027796661,0.000050094488,0.9567456,0.0034095224,0.008169746,0.00078992575,0.030177185],"study_design_scores_gemma":[0.000003898954,0.000008424544,0.00005093555,0.0000026264006,0.0000013206196,0.0000055427727,0.0000021927392,0.99626225,0.0005766093,0.0027386576,0.00034462614,0.000002901618],"about_ca_topic_score_codex":0.005837912,"about_ca_topic_score_gemma":0.0053540096,"teacher_disagreement_score":0.005837912,"about_ca_system_score_codex":0.0013977948,"about_ca_system_score_gemma":0.00087354286,"threshold_uncertainty_score":0.011607885},"labels":[],"label_agreement":null},{"id":"W4411309336","doi":"10.1145/3742893","title":"NESI: Neural Explicit-Shape-Intersection-Based Geometry Representation","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intersection (aeronautics); Representation (politics); Geometry; Computer science; Artificial intelligence; Computer vision; Mathematics; Computer graphics (images); Engineering","score_opus":0.01930054166731029,"score_gpt":0.26209645589664005,"score_spread":0.24279591422932975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411309336","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03645203,0.0003787842,0.9513744,0.0002567682,0.00007819419,0.000071561764,0.0011246614,0.005517762,0.0047457293],"genre_scores_gemma":[0.5073639,0.00067769224,0.4695565,0.00054438214,0.000103604725,0.00044160793,0.009230231,0.0006256733,0.011456306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996457,0.000027248425,0.000015154249,0.0000781372,0.00017632957,0.000057408204],"domain_scores_gemma":[0.99966633,0.000091118425,0.00003843676,0.00010304236,0.000072872084,0.000028179942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267989,0.0011411199,0.0012117091,0.00072969875,0.00024001779,0.001231986,0.0035350549,0.0010230859,0.0047627385],"category_scores_gemma":[0.0016562295,0.0004887436,0.0009351456,0.0012533983,0.0006372523,0.0019952406,0.0019755503,0.0016956717,0.0016281931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031133374,0.00020930354,0.0013291062,0.00021006563,0.00007247444,0.00018396697,0.0001586439,0.46566653,0.023638286,0.030282704,0.019329417,0.45860818],"study_design_scores_gemma":[0.000009610707,0.00003784127,0.00016397651,0.000009190747,0.000006983728,0.000047650352,0.000018734216,0.98888105,0.0035140933,0.0056443475,0.0016563078,0.000010148636],"about_ca_topic_score_codex":0.004730351,"about_ca_topic_score_gemma":0.006819678,"teacher_disagreement_score":0.0047627385,"about_ca_system_score_codex":0.0011822045,"about_ca_system_score_gemma":0.001023199,"threshold_uncertainty_score":0.015932977},"labels":[],"label_agreement":null},{"id":"W4412673600","doi":"10.1145/3731203","title":"Putting Rigid Bodies to Rest","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Rest (music); Computer science; Computer graphics (images); Computer vision; Physics","score_opus":0.028410370342139207,"score_gpt":0.2599870158451891,"score_spread":0.23157664550304988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028784383,0.0004241975,0.9430709,0.00043229517,0.00017548367,0.000035894707,0.000080065314,0.00088349334,0.026113374],"genre_scores_gemma":[0.64800316,0.00090211735,0.31827673,0.0007084005,0.00019498385,0.00025331904,0.00031571073,0.0015171743,0.029828437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992842,0.00018918894,0.000028427763,0.00017903374,0.00023360357,0.00008556015],"domain_scores_gemma":[0.9992901,0.00019971193,0.00007440738,0.00027445942,0.000095074865,0.000066170964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078318606,0.0009892884,0.0010143294,0.00086287,0.0010935039,0.0019217804,0.0015929252,0.0016023269,0.011021619],"category_scores_gemma":[0.0029349404,0.00088355126,0.0015292882,0.00036276778,0.0032846797,0.002376572,0.0034862245,0.0014808084,0.0038713398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022249049,0.000047293044,0.0010141637,0.00022659113,0.00006143285,0.00031933177,0.0006618645,0.3496432,0.021398798,0.52523416,0.004584163,0.09658653],"study_design_scores_gemma":[0.000040885236,0.00030669573,0.0005077288,0.00012768847,0.000047787104,0.00028966478,0.00028328437,0.62020075,0.011219084,0.3191537,0.047732666,0.00009015247],"about_ca_topic_score_codex":0.00095845293,"about_ca_topic_score_gemma":0.00079141156,"teacher_disagreement_score":0.011021619,"about_ca_system_score_codex":0.00069312006,"about_ca_system_score_gemma":0.0005650136,"threshold_uncertainty_score":0.036870956},"labels":[],"label_agreement":null},{"id":"W4412673651","doi":"10.1145/3731157","title":"Topological Offsets","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Topology (electrical circuits); Computer science; Mathematics; Combinatorics","score_opus":0.010752267894988577,"score_gpt":0.26670802397446125,"score_spread":0.2559557560794727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673651","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038386,0.0010324334,0.90448654,0.00048754681,0.0004793177,0.00025311342,0.0063349064,0.02651736,0.022022737],"genre_scores_gemma":[0.3038542,0.0010207212,0.6531424,0.0005564502,0.00015718145,0.00051535823,0.021841425,0.007594404,0.011317891],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984823,0.00010943447,0.00008990689,0.0003215179,0.00086942647,0.00012758559],"domain_scores_gemma":[0.99867994,0.00028284336,0.00009983911,0.0006249796,0.00023108594,0.00008120726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006003249,0.0015766338,0.0010840446,0.002093137,0.00079715025,0.0032877,0.0028019766,0.0016090155,0.0131526515],"category_scores_gemma":[0.0053052586,0.0007041989,0.0013305385,0.0015040003,0.0013021276,0.0031082884,0.0050588315,0.0022957474,0.00562809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005498694,0.0002333642,0.0070732576,0.0014090806,0.00013698914,0.0006823489,0.0007077586,0.13997394,0.045886848,0.16823657,0.07733367,0.5577763],"study_design_scores_gemma":[0.00013884802,0.00038813235,0.0022076585,0.0002954355,0.00009737487,0.0015858067,0.0005296637,0.4399503,0.05067383,0.16460966,0.33935985,0.00016341332],"about_ca_topic_score_codex":0.0009727445,"about_ca_topic_score_gemma":0.0021411595,"teacher_disagreement_score":0.0131526515,"about_ca_system_score_codex":0.0006508599,"about_ca_system_score_gemma":0.00074451446,"threshold_uncertainty_score":0.04400003},"labels":[],"label_agreement":null},{"id":"W4412673659","doi":"10.1145/3731148","title":"Shape Space Spectra","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Space (punctuation); Computer science; Computer graphics (images); Geometry; Mathematics","score_opus":0.011411055176339419,"score_gpt":0.22987997503116242,"score_spread":0.218468919854823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673659","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013354928,0.00017424837,0.9717216,0.00015146166,0.00007017292,0.000037266993,0.00032381972,0.0011668934,0.012999685],"genre_scores_gemma":[0.58987194,0.00079050753,0.37765178,0.0003883702,0.000105213294,0.00020895389,0.0014061657,0.0020465173,0.027530553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971646,0.000031204923,0.000012500666,0.00007456744,0.0001372137,0.000028107917],"domain_scores_gemma":[0.9996136,0.00008676844,0.000031944415,0.00011759221,0.000117574265,0.000032576914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003258739,0.0008099338,0.00042445183,0.0009322477,0.0004220904,0.0017425315,0.0008154686,0.0010172131,0.012817141],"category_scores_gemma":[0.0013662408,0.0004338351,0.000824464,0.00048245682,0.00064512243,0.001819627,0.0012649298,0.00096734526,0.004458991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014731438,0.00008530807,0.0016212808,0.00022022106,0.000058206122,0.00026227825,0.00031580788,0.41008553,0.080778666,0.20281474,0.010420869,0.2931898],"study_design_scores_gemma":[0.0000087080825,0.000037599497,0.00063506485,0.000025441894,0.000010205189,0.00023360924,0.000077481025,0.88080573,0.012039231,0.08934587,0.016749842,0.0000312425],"about_ca_topic_score_codex":0.0009036607,"about_ca_topic_score_gemma":0.0010437891,"teacher_disagreement_score":0.012817141,"about_ca_system_score_codex":0.00049497845,"about_ca_system_score_gemma":0.00055808725,"threshold_uncertainty_score":0.042877614},"labels":[],"label_agreement":null},{"id":"W4412673678","doi":"10.1145/3731161","title":"Stochastic Preconditioning for Neural Field Optimization","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Stochastic optimization; Field (mathematics); Artificial neural network; Mathematical optimization; Artificial intelligence; Mathematics","score_opus":0.01816744966289448,"score_gpt":0.2845887941968604,"score_spread":0.26642134453396593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673678","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00513607,0.00016345068,0.9914704,0.00017831169,0.000043534772,0.00001691837,0.000042183274,0.0006704456,0.002278701],"genre_scores_gemma":[0.40275836,0.000653586,0.58820903,0.00038211822,0.0001652901,0.00026668597,0.0003589879,0.0006416699,0.0065641543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996087,0.00014227789,0.000021523134,0.00005078956,0.00013690811,0.00003977082],"domain_scores_gemma":[0.99929166,0.00035435864,0.000054228247,0.00012806743,0.00011889864,0.000052799056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069114985,0.00064633915,0.00069671054,0.00035304844,0.0003619627,0.0005695066,0.00061792287,0.0007887137,0.0042257444],"category_scores_gemma":[0.003343064,0.0003631621,0.0004433839,0.00048971217,0.0010078503,0.00097375986,0.0014428989,0.0016344221,0.0010342657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010969607,0.00004440317,0.00045067014,0.00015028835,0.00003057046,0.00006105617,0.00007632465,0.81242925,0.0063750874,0.08113983,0.0051323064,0.094000556],"study_design_scores_gemma":[0.000009043374,0.000015230605,0.000039564115,0.0000070770147,0.0000018475976,0.00000813554,0.0000050143985,0.9748598,0.0009073779,0.02285861,0.0012846701,0.000003574035],"about_ca_topic_score_codex":0.003782894,"about_ca_topic_score_gemma":0.0047451006,"teacher_disagreement_score":0.0042257444,"about_ca_system_score_codex":0.0008312929,"about_ca_system_score_gemma":0.0010927942,"threshold_uncertainty_score":0.014136493},"labels":[],"label_agreement":null},{"id":"W4412673711","doi":"10.1145/3731181","title":"Designing 3D Anisotropic Frame Fields with Odeco Tensors","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Anisotropy; Frame (networking); Computer science; Computer graphics (images); Tensor (intrinsic definition); Geometry; Computer vision; Classical mechanics; Physics; Mathematics; Optics","score_opus":0.007681971649988639,"score_gpt":0.20709912879632617,"score_spread":0.19941715714633754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673711","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006507625,0.000055448883,0.9904801,0.00006945078,0.000042024196,0.000035798646,0.000042321415,0.00023936504,0.0025279492],"genre_scores_gemma":[0.1394258,0.00026018923,0.85490865,0.00010864677,0.00004431427,0.00018492827,0.00020534334,0.0004013042,0.004460875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99973005,0.000046638743,0.000012292824,0.000041367388,0.00014601856,0.00002363336],"domain_scores_gemma":[0.99971455,0.00008318568,0.000048956656,0.000050121642,0.0000751626,0.000027994118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005599916,0.0008088216,0.0004926717,0.00080103375,0.00041600087,0.0009697944,0.0007492772,0.0006630679,0.00264257],"category_scores_gemma":[0.001239087,0.00046639392,0.0006419735,0.00051345874,0.00069057895,0.0011010488,0.0010762824,0.0008145564,0.001022041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100481404,0.00010117392,0.0011250443,0.00029334446,0.000037412687,0.00020229981,0.000407163,0.45703417,0.12594214,0.20073384,0.0066776294,0.20734529],"study_design_scores_gemma":[0.000020446723,0.00007536359,0.00014325042,0.00003176112,0.0000115649555,0.0001299205,0.000076187476,0.9304681,0.018198617,0.024858573,0.0259565,0.000029770727],"about_ca_topic_score_codex":0.0010085261,"about_ca_topic_score_gemma":0.0019863453,"teacher_disagreement_score":0.00264257,"about_ca_system_score_codex":0.00051744457,"about_ca_system_score_gemma":0.0007031648,"threshold_uncertainty_score":0.008840263},"labels":[],"label_agreement":null},{"id":"W4412673716","doi":"10.1145/3730928","title":"Multi-Dimensional Procedural Wave Noise","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Noise (video); Procedural modeling; Acoustics; Computer graphics (images); Artificial intelligence; Physics; Image (mathematics)","score_opus":0.0380729031589829,"score_gpt":0.275432702549147,"score_spread":0.23735979939016408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673716","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017864011,0.000042377123,0.9762215,0.00008646515,0.000044531625,0.000018046469,0.00005437616,0.0003423462,0.005326342],"genre_scores_gemma":[0.6913632,0.0003425789,0.2842552,0.00021067685,0.000054193664,0.0001860146,0.00029249725,0.00045121374,0.022844305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974066,0.000037200676,0.000010431721,0.00004874214,0.00014223465,0.000020691143],"domain_scores_gemma":[0.99971825,0.000099639336,0.000032251643,0.000069605514,0.000058468177,0.000021680875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745285,0.0005141444,0.00031052582,0.00035042258,0.00024406731,0.0012625873,0.0008004844,0.00077784655,0.0029591506],"category_scores_gemma":[0.0010787977,0.00024456324,0.00043528815,0.00028909222,0.00077047927,0.0013829153,0.00084837584,0.00059998344,0.00087511784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015383778,0.00008424969,0.00077454845,0.0001187531,0.000026315829,0.00027869758,0.00033338356,0.5272604,0.12490674,0.2784434,0.0023023493,0.0653173],"study_design_scores_gemma":[0.00000629226,0.000038288963,0.00013996282,0.000007991472,0.000005704476,0.00015818627,0.00002563644,0.96255255,0.016540574,0.01435633,0.0061512413,0.000017218355],"about_ca_topic_score_codex":0.0006246316,"about_ca_topic_score_gemma":0.00061305513,"teacher_disagreement_score":0.0029591506,"about_ca_system_score_codex":0.00048100075,"about_ca_system_score_gemma":0.0003640054,"threshold_uncertainty_score":0.009899378},"labels":[],"label_agreement":null},{"id":"W4412673728","doi":"10.1145/3731212","title":"Faraday Cage Estimation of Normals for Point Clouds and Ribbon Sketches","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Ribbon; Cage; Point cloud; Point (geometry); Computer science; Computer graphics (images); Geometry; Mathematics; Artificial intelligence; Combinatorics","score_opus":0.018169878114863997,"score_gpt":0.29955343674914175,"score_spread":0.2813835586342778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673728","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007048152,0.000056379937,0.9902532,0.00003408406,0.000022275497,0.00004345612,0.00007021958,0.0019128227,0.0005594748],"genre_scores_gemma":[0.20066041,0.0002812693,0.7948281,0.00006283555,0.000041654883,0.000103118655,0.0006727295,0.00089248735,0.0024574238],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984426,0.0001789862,0.000053334115,0.00025315324,0.0009682373,0.00010368286],"domain_scores_gemma":[0.997109,0.001028469,0.0002503377,0.00072804117,0.00072295725,0.00016130142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010653762,0.0013516479,0.001175209,0.0016962803,0.00039497152,0.0021473109,0.001838331,0.0012505037,0.0042535146],"category_scores_gemma":[0.008499866,0.0008540729,0.0012909491,0.0009175194,0.00072273996,0.0015041111,0.0020393643,0.0018459731,0.0018069114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002630616,0.00010022462,0.0027792144,0.00032611034,0.00009039286,0.00030834926,0.00039982062,0.2877778,0.060576256,0.013505544,0.00446947,0.62940377],"study_design_scores_gemma":[0.00001411271,0.00003357247,0.00048200635,0.00002181288,0.0000052269393,0.00019984932,0.000055983182,0.97787845,0.014338598,0.0039915186,0.0029469263,0.000031945438],"about_ca_topic_score_codex":0.0046300674,"about_ca_topic_score_gemma":0.005073936,"teacher_disagreement_score":0.0046300674,"about_ca_system_score_codex":0.0006107157,"about_ca_system_score_gemma":0.0010788908,"threshold_uncertainty_score":0.014229417},"labels":[],"label_agreement":null},{"id":"W4412673754","doi":"10.1145/3730842","title":"HoLa: B-Rep Generation using a Holistic Latent Representation","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada); Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China","keywords":"Representation (politics); Computer science; Artificial intelligence; Computer graphics (images); Political science","score_opus":0.08458224545713623,"score_gpt":0.3097169366714379,"score_spread":0.22513469121430169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049764374,0.00023046248,0.98540014,0.00018429913,0.000059957634,0.00009287855,0.00053195696,0.006635105,0.0018888976],"genre_scores_gemma":[0.19079894,0.00040042246,0.7948296,0.00039001953,0.00007699433,0.0005205011,0.004651696,0.0016078545,0.0067239054],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991366,0.00014674832,0.000036888636,0.00026645826,0.00034049305,0.00007271853],"domain_scores_gemma":[0.9986473,0.00041392492,0.00011136389,0.00055698893,0.00020106789,0.00006942414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090221583,0.0011835069,0.0008832785,0.0011656531,0.00041317113,0.0015248525,0.0028634258,0.0017780521,0.011833238],"category_scores_gemma":[0.004068313,0.0006593353,0.0015403258,0.0010705853,0.00093551824,0.002756174,0.0029388124,0.0022414501,0.0057222545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000291128,0.00019744992,0.0014312367,0.0004880314,0.00008954661,0.00035363264,0.00027575326,0.2245081,0.031805817,0.043145146,0.025562491,0.6718518],"study_design_scores_gemma":[0.000032958847,0.000075477736,0.00018511554,0.000029875078,0.000015556561,0.00021962583,0.00004087998,0.9626741,0.009861895,0.016327823,0.010512508,0.000024211718],"about_ca_topic_score_codex":0.0020730174,"about_ca_topic_score_gemma":0.0027954476,"teacher_disagreement_score":0.011833238,"about_ca_system_score_codex":0.00068586186,"about_ca_system_score_gemma":0.00093034224,"threshold_uncertainty_score":0.039586186},"labels":[],"label_agreement":null},{"id":"W4412673764","doi":"10.1145/3730847","title":"Segment-based Light Transport Simulation","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Computer vision","score_opus":0.012638072302344133,"score_gpt":0.2766323736805883,"score_spread":0.26399430137824414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04193723,0.0002001654,0.9357841,0.0003227243,0.000089516085,0.00010293407,0.0003492275,0.0006227536,0.020591328],"genre_scores_gemma":[0.7938389,0.00046564479,0.18445604,0.00021690021,0.0000633285,0.00034020827,0.0005975486,0.0005155956,0.019505879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997514,0.000047648336,0.000008843644,0.00003844659,0.000108737244,0.000044961824],"domain_scores_gemma":[0.9995691,0.0001779214,0.000033086373,0.000060331495,0.0001120902,0.00004735848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036887085,0.000467416,0.00059234456,0.0005911937,0.00070305733,0.0013874981,0.0013568953,0.0016362984,0.008378282],"category_scores_gemma":[0.0016095579,0.00036516576,0.00077590323,0.0005396473,0.00069653534,0.001532641,0.0013284626,0.0011727376,0.0009391597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008380787,0.000060167007,0.00080617116,0.000054018754,0.000017738565,0.00012351392,0.00018429724,0.8894611,0.0077052005,0.08892975,0.0017363449,0.010837863],"study_design_scores_gemma":[0.000004625992,0.0000055876308,0.00004149088,0.0000031733148,0.000001944376,0.000011414998,0.000009661054,0.994253,0.00061740685,0.004015199,0.0010316605,0.0000048402876],"about_ca_topic_score_codex":0.008155439,"about_ca_topic_score_gemma":0.0043513756,"teacher_disagreement_score":0.008378282,"about_ca_system_score_codex":0.0014635357,"about_ca_system_score_gemma":0.0011738344,"threshold_uncertainty_score":0.02802819},"labels":[],"label_agreement":null},{"id":"W4412673767","doi":"10.1145/3731179","title":"Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cholesky decomposition; Algebraic number; Computer science; Reuse; Theoretical computer science; Parallel computing; Mathematical optimization; Algorithm; Algebra over a field; Mathematics; Pure mathematics","score_opus":0.011051036736889244,"score_gpt":0.23778325178510137,"score_spread":0.22673221504821212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09274236,0.0003398527,0.8900823,0.00036865374,0.00016994441,0.00014255139,0.00043915783,0.0068690935,0.008846071],"genre_scores_gemma":[0.40445498,0.00024265934,0.58713526,0.00029040294,0.00011840983,0.00020672685,0.0010675621,0.0016999724,0.0047840304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99928683,0.00015632613,0.00005107747,0.000077983656,0.0003203853,0.00010729822],"domain_scores_gemma":[0.9981499,0.000497476,0.00015432746,0.00072700746,0.00033513876,0.00013620079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007493696,0.00084464886,0.00075791817,0.0006386236,0.0006044141,0.0009761564,0.0010590713,0.0005318234,0.005198176],"category_scores_gemma":[0.0042018406,0.00039622642,0.0006008733,0.00082419073,0.0007864974,0.0013913866,0.0016690389,0.0010599565,0.0017561587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007120508,0.00039873962,0.0055557108,0.00047038554,0.0001519922,0.0005742853,0.0007469181,0.4637902,0.08685514,0.058509953,0.018195944,0.36403865],"study_design_scores_gemma":[0.00010214456,0.00018743414,0.0005315298,0.000026079384,0.000016918211,0.000110388886,0.00008224297,0.9457718,0.026350876,0.015064174,0.011708776,0.000047688183],"about_ca_topic_score_codex":0.0033345704,"about_ca_topic_score_gemma":0.00809844,"teacher_disagreement_score":0.005198176,"about_ca_system_score_codex":0.00036746674,"about_ca_system_score_gemma":0.0017230813,"threshold_uncertainty_score":0.017389655},"labels":[],"label_agreement":null},{"id":"W4414290603","doi":"10.1145/3767323","title":"Local Surface Parameterizations via Smoothed Geodesic Splines","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Surface fitting; Surface (topology); Geodesic; Projection (relational algebra); Spline (mechanical); Point (geometry); Geometry processing; Thin plate spline","score_opus":0.009528393514469047,"score_gpt":0.25134249762599875,"score_spread":0.2418141041115297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414290603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009075737,0.000041355644,0.9892023,0.000027669865,0.000014278546,0.000018104474,0.000042647545,0.00074407976,0.0008337018],"genre_scores_gemma":[0.3603962,0.000216802,0.6331686,0.000039617567,0.000040575138,0.0001305265,0.00036760242,0.0012501902,0.0043899263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994785,0.000077072335,0.000020947127,0.000102579084,0.00028173102,0.000039089253],"domain_scores_gemma":[0.9993594,0.00015541537,0.000086567125,0.00020911072,0.00014494445,0.000044416556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061891455,0.0009845265,0.00090807304,0.0018979829,0.0004473022,0.0015436852,0.0013475489,0.0012677176,0.0040702345],"category_scores_gemma":[0.0027044462,0.00061268744,0.0011208839,0.0015668006,0.001066796,0.0018597726,0.0019574873,0.0020203807,0.0015014805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008882507,0.000041151947,0.00085792196,0.000115821014,0.000046005258,0.00011462022,0.0003455469,0.70951927,0.030977065,0.066018045,0.0017325296,0.19014324],"study_design_scores_gemma":[0.000012217626,0.000030894607,0.00013680477,0.000013325624,0.0000078155235,0.000050041177,0.000037180103,0.9670551,0.0060504056,0.022025213,0.004556401,0.000024567753],"about_ca_topic_score_codex":0.0015493702,"about_ca_topic_score_gemma":0.0020073785,"teacher_disagreement_score":0.0040702345,"about_ca_system_score_codex":0.00073380675,"about_ca_system_score_gemma":0.000727192,"threshold_uncertainty_score":0.013616264},"labels":[],"label_agreement":null},{"id":"W4415114166","doi":"10.1145/3770576","title":"Emotion Manipulation for Talking-Head Videos via Facial Landmarks","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Image editing; Face (sociological concept); Landmark; Video editing; Synchronization (alternating current); Image (mathematics); Facial expression","score_opus":0.02453082513634602,"score_gpt":0.28439969974579604,"score_spread":0.25986887460945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415114166","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17935681,0.0006140749,0.81105846,0.00018414018,0.00021298694,0.00026886456,0.0005701876,0.0040590214,0.0036754878],"genre_scores_gemma":[0.69191474,0.0006490951,0.29917806,0.0001648344,0.00013056074,0.00019073827,0.0010791775,0.00035723834,0.0063355598],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999858,0.000030224335,0.0000036952163,0.000050810464,0.000036204925,0.000021034608],"domain_scores_gemma":[0.9998498,0.00006108462,0.000020028025,0.000023720217,0.000027275411,0.00001808341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024519337,0.0007602988,0.0003281366,0.00033294468,0.0001406486,0.0003734996,0.0006298837,0.00034118784,0.0027179345],"category_scores_gemma":[0.0011720317,0.0001742839,0.00045256942,0.00016458955,0.00025014693,0.00045043018,0.00048022787,0.0006427477,0.0005542239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008144037,0.00012557206,0.0011561882,0.00029546564,0.00010495851,0.0003154385,0.00023182543,0.051712442,0.29268515,0.001982685,0.0054886844,0.64508724],"study_design_scores_gemma":[0.00004070574,0.00042082093,0.003901471,0.000033048338,0.000067771085,0.00042411376,0.0001319748,0.87255657,0.11572077,0.0020565554,0.0046042977,0.000041926847],"about_ca_topic_score_codex":0.0017627312,"about_ca_topic_score_gemma":0.0033357956,"teacher_disagreement_score":0.0027179345,"about_ca_system_score_codex":0.00025266397,"about_ca_system_score_gemma":0.00017676874,"threshold_uncertainty_score":0.00909245},"labels":[],"label_agreement":null},{"id":"W4415664046","doi":"10.1145/3771546","title":"NeuPPS: Neural Piecewise Parametric Surfaces","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Research (Canada); University of British Columbia","funders":"","keywords":"Piecewise; Surface (topology); Parametric statistics; Parametric surface; Artificial neural network; Representation (politics); Parametric equation; Perceptron; Generalization","score_opus":0.014903655717050705,"score_gpt":0.2393566957263666,"score_spread":0.22445304000931587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415664046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013691446,0.0001683056,0.97872674,0.00017175154,0.000054249023,0.00004511458,0.00035351168,0.0040648743,0.002724025],"genre_scores_gemma":[0.49529615,0.0007048084,0.4891768,0.00036190235,0.00007701071,0.0002983968,0.0025088824,0.0010663889,0.0105096735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965537,0.00004142134,0.000015224201,0.00007119076,0.00018284249,0.000034022778],"domain_scores_gemma":[0.9996151,0.000121293015,0.000033580247,0.000112429385,0.000089387504,0.000028212055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037908016,0.0007969444,0.00059913937,0.0006372368,0.00023554465,0.0009122677,0.0018202898,0.0009801548,0.0056780083],"category_scores_gemma":[0.0022797522,0.00042946855,0.00082955003,0.0008215624,0.00063950004,0.0018888003,0.0018282318,0.001451104,0.0016015139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010937319,0.000043090993,0.00076948263,0.00011157124,0.000032669705,0.00012283422,0.000076803204,0.61553013,0.009500669,0.019053675,0.009551708,0.34509796],"study_design_scores_gemma":[0.0000037030638,0.000018293886,0.000106324995,0.0000056247577,0.0000026145283,0.00004042051,0.000008084348,0.98837376,0.0014728724,0.007704945,0.0022580093,0.000005323012],"about_ca_topic_score_codex":0.00304968,"about_ca_topic_score_gemma":0.0030544086,"teacher_disagreement_score":0.0056780083,"about_ca_system_score_codex":0.000608699,"about_ca_system_score_gemma":0.0005947562,"threshold_uncertainty_score":0.018994808},"labels":[],"label_agreement":null},{"id":"W4416410128","doi":"10.1145/3777900","title":"Voronoi Rooms: Dynamic Visibility Modulation of Overlapping Spaces for Telepresence","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea","keywords":"Visibility; Voronoi diagram; Space (punctuation); Virtual reality; Visualization; Space partitioning; Linear subspace","score_opus":0.021251555946778963,"score_gpt":0.31032353412061087,"score_spread":0.2890719781738319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416410128","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02626849,0.00050874543,0.96582764,0.000096411204,0.0000722183,0.00010472866,0.00015759296,0.004240785,0.0027233663],"genre_scores_gemma":[0.39996195,0.00042215173,0.5955768,0.000097762495,0.000062330124,0.0002445719,0.00030672297,0.0007177928,0.002609868],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999119,0.00026566643,0.0000347424,0.00020376426,0.00027582108,0.00010090728],"domain_scores_gemma":[0.9985341,0.00061150815,0.00013464552,0.00035848503,0.0001747165,0.00018652648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096468,0.00081171544,0.0007411696,0.0008780671,0.0006401098,0.0013920433,0.0018487532,0.00066290936,0.005312266],"category_scores_gemma":[0.0034892058,0.00055021106,0.0006336123,0.0006428604,0.00058719283,0.0021686587,0.0038920378,0.0007613821,0.0011215305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001659075,0.0004732902,0.0037982056,0.00091740413,0.00019208448,0.0005945499,0.0039800107,0.03740612,0.16904545,0.025777536,0.011344253,0.7448121],"study_design_scores_gemma":[0.00038183032,0.0011472338,0.004982211,0.00017333594,0.00023821468,0.0026380727,0.0018621067,0.7124265,0.149977,0.02658321,0.0992155,0.00037487637],"about_ca_topic_score_codex":0.0015251095,"about_ca_topic_score_gemma":0.0029506483,"teacher_disagreement_score":0.005312266,"about_ca_system_score_codex":0.00033110214,"about_ca_system_score_gemma":0.000492249,"threshold_uncertainty_score":0.017771304},"labels":[],"label_agreement":null},{"id":"W4416999724","doi":"10.1145/3763298","title":"PoissonNet: A Local-Global Approach for Learning on Surfaces","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Science Foundation","keywords":"Feature (linguistics); Overhead (engineering); Feature learning; Segmentation; Block (permutation group theory); Artificial neural network; Focus (optics); Domain (mathematical analysis)","score_opus":0.014235143202525035,"score_gpt":0.24375523704342492,"score_spread":0.22952009384089989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416999724","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008029617,0.00026882807,0.9850796,0.00028039908,0.00008166206,0.000046774334,0.00017740444,0.003337003,0.0026986438],"genre_scores_gemma":[0.32578114,0.00082806905,0.65410936,0.00086372317,0.00023681964,0.00043043811,0.0018979389,0.001293842,0.014558688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963653,0.000058179903,0.000015198412,0.00012961694,0.00011794252,0.00004247899],"domain_scores_gemma":[0.9995165,0.00016613698,0.0000414223,0.00011373846,0.00012065439,0.000041485157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009089361,0.0014922823,0.00091863726,0.00093040563,0.0004579365,0.001231655,0.0030329174,0.0015402898,0.0049534827],"category_scores_gemma":[0.0026242752,0.00071733247,0.0009014888,0.00085628976,0.0009859176,0.002499815,0.0023251649,0.0021685264,0.0017110719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014699165,0.00010193103,0.0014833912,0.0002108333,0.00013272522,0.00013151615,0.00012372508,0.5939624,0.010947513,0.04321749,0.013829909,0.33571154],"study_design_scores_gemma":[0.000006671017,0.00003022989,0.00008349193,0.00001003892,0.000008283077,0.000025953766,0.000011520353,0.97804856,0.0020095147,0.017692849,0.0020670127,0.000005966088],"about_ca_topic_score_codex":0.0041698897,"about_ca_topic_score_gemma":0.007140831,"teacher_disagreement_score":0.0049534827,"about_ca_system_score_codex":0.0010460658,"about_ca_system_score_gemma":0.00092185906,"threshold_uncertainty_score":0.016571045},"labels":[],"label_agreement":null},{"id":"W4416999807","doi":"10.1145/3763331","title":"NeuVAS: Neural Implicit Surfaces for Variational Shape Modeling","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Joint Fund of the National Natural Science Foundation of China and the Karst Science Research Center of Guizhou Province; National Key Research and Development Program of China; Natural Science Foundation of Shandong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Artificial neural network; Surface (topology); Smoothness; Representation (politics); Set (abstract data type); Feature (linguistics); Curve fitting; Shape analysis (program analysis)","score_opus":0.02256142208999824,"score_gpt":0.25643811273984973,"score_spread":0.2338766906498515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416999807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025542944,0.00012952641,0.9956143,0.00007934156,0.000021891523,0.000016968032,0.000053125397,0.00037969585,0.0011508052],"genre_scores_gemma":[0.32787725,0.00092667807,0.65483737,0.00036855906,0.000121459554,0.00047836782,0.00077618816,0.0013728273,0.013241394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964786,0.000081207094,0.000015251581,0.00005640237,0.00017307863,0.000026244523],"domain_scores_gemma":[0.99950826,0.00023213563,0.000044707416,0.00008654493,0.00008818996,0.00004017063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007337441,0.0010375461,0.00093019113,0.0008340298,0.00039859628,0.0012394723,0.001966115,0.0018168119,0.0033450716],"category_scores_gemma":[0.002673586,0.0006955456,0.00111884,0.0006347997,0.001190093,0.0014450921,0.0021995103,0.0017917227,0.00095417013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028824365,0.000017382776,0.00028899877,0.00008062366,0.00003651613,0.000054691565,0.000080830134,0.86592644,0.0041829734,0.06697502,0.002418463,0.059909116],"study_design_scores_gemma":[0.0000016917368,0.0000044619555,0.000011915206,0.000003920983,0.0000011767438,0.000008864531,0.0000029037599,0.99149346,0.00032440314,0.0070141316,0.0011302381,0.0000028434768],"about_ca_topic_score_codex":0.0049119643,"about_ca_topic_score_gemma":0.00630648,"teacher_disagreement_score":0.0049119643,"about_ca_system_score_codex":0.0010429149,"about_ca_system_score_gemma":0.0011747993,"threshold_uncertainty_score":0.011190355},"labels":[],"label_agreement":null},{"id":"W4416999814","doi":"10.1145/3763334","title":"Environment-aware Motion Matching","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Ministerio de Universidades; Ministerio de Ciencia, Innovación y Universidades","keywords":"Animation; Trajectory; Character animation; Motion (physics); Motion capture; Process (computing)","score_opus":0.011102286136839704,"score_gpt":0.21704328237437415,"score_spread":0.20594099623753445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416999814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017557355,0.00024086962,0.966224,0.000059828963,0.00008308567,0.00014421028,0.00041329805,0.011429694,0.0038477501],"genre_scores_gemma":[0.34387442,0.00042013373,0.63883024,0.00020406178,0.000066926346,0.00024038312,0.003009234,0.0021806855,0.011173866],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928856,0.000064461456,0.000037559686,0.00030217972,0.0002295499,0.00007772949],"domain_scores_gemma":[0.99960345,0.000073946765,0.000045961162,0.00013720004,0.000091122514,0.000048326223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028666516,0.0010804181,0.0009037059,0.0011812537,0.00055880257,0.0008615822,0.0016316016,0.00087856763,0.008504007],"category_scores_gemma":[0.0018116643,0.0005175255,0.0006433106,0.00094745203,0.00035713453,0.0013649826,0.0020503805,0.0006650574,0.003324189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049961044,0.0002952462,0.0025943972,0.00026001892,0.00010766663,0.0003624563,0.0003758289,0.07419244,0.1341191,0.0073875715,0.015322763,0.76448286],"study_design_scores_gemma":[0.000053110558,0.00015974803,0.002694232,0.000034727105,0.000036649344,0.000571022,0.00018973008,0.88043076,0.07266177,0.008850638,0.0342538,0.00006381191],"about_ca_topic_score_codex":0.0023913395,"about_ca_topic_score_gemma":0.0045598284,"teacher_disagreement_score":0.008504007,"about_ca_system_score_codex":0.00040900192,"about_ca_system_score_gemma":0.0006455975,"threshold_uncertainty_score":0.0284487},"labels":[],"label_agreement":null},{"id":"W4417000505","doi":"10.1145/3763310","title":"Force-Dual Modes: Subspace Design from Stochastic Forces","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Linear subspace; Subspace topology; Gaussian; Finite element method; Modal; Rank (graph theory); Constraint (computer-aided design); Function (biology); Duality (order theory)","score_opus":0.020963099867113116,"score_gpt":0.23748706440241718,"score_spread":0.21652396453530406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417000505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066602626,0.000025794207,0.9923537,0.000038534,0.000006638407,0.000014588314,0.000019237428,0.00010292739,0.00077825633],"genre_scores_gemma":[0.54252005,0.0002850539,0.45118058,0.00015812498,0.00004307686,0.0003631144,0.00031611233,0.00035556447,0.0047783386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994677,0.00021417697,0.00002203583,0.00007022696,0.00017007855,0.00005588984],"domain_scores_gemma":[0.9990939,0.00037326658,0.00010650826,0.0001498409,0.00018061152,0.00009592708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010505595,0.0008212336,0.0005497437,0.000479392,0.0003112968,0.0007263429,0.0007563114,0.0006724477,0.0024474242],"category_scores_gemma":[0.0025291282,0.0004610847,0.0007045641,0.00027596182,0.0010894047,0.0010678585,0.0019177592,0.0010479055,0.0006994035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101882586,0.000073927935,0.00063729956,0.00007031752,0.000026615911,0.00004384733,0.00013862824,0.84584075,0.010019889,0.08015991,0.0011932314,0.061693672],"study_design_scores_gemma":[0.0000042581228,0.000028683906,0.00003423683,0.0000047922044,0.000001641543,0.00000860871,0.0000096352505,0.9839454,0.00085473235,0.014496981,0.00060565775,0.0000052975965],"about_ca_topic_score_codex":0.0008818906,"about_ca_topic_score_gemma":0.0008877267,"teacher_disagreement_score":0.0024474242,"about_ca_system_score_codex":0.00042200251,"about_ca_system_score_gemma":0.000828076,"threshold_uncertainty_score":0.008187473},"labels":[],"label_agreement":null},{"id":"W4417000524","doi":"10.1145/3763356","title":"Glare Pattern Depiction: High-Fidelity Physical Computation and Physiologically-Inspired Visual Response","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GLARE; Computer graphics; Illuminance; Brightness; Pupil; Computation; Graphics; Fresnel diffraction; Global illumination; Diffraction","score_opus":0.04413075207649652,"score_gpt":0.3446799063700887,"score_spread":0.3005491542935922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417000524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12908326,0.00027940766,0.8630771,0.00047567842,0.000045454246,0.00005111923,0.0001087404,0.00081364205,0.0060655656],"genre_scores_gemma":[0.9068926,0.00023513802,0.091118395,0.0001123924,0.000025062616,0.00003073452,0.00007455398,0.000083210325,0.0014278011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999423,0.0000130694625,0.0000024693704,0.00001127774,0.000022153807,0.000008669186],"domain_scores_gemma":[0.999874,0.000054480683,0.000018177287,0.000022842232,0.000014933117,0.000015571168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013328002,0.00022582723,0.00018120286,0.00024914416,0.0001481581,0.0005744102,0.0005070021,0.0005055279,0.0016946146],"category_scores_gemma":[0.0011139993,0.00014561799,0.0002871786,0.00018054493,0.00044110446,0.00060212053,0.0005505555,0.00041004657,0.00019724765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017987414,0.000086427695,0.001974807,0.00016141677,0.000051364597,0.0004240114,0.000373524,0.7118957,0.12840691,0.063922755,0.0025421805,0.08998106],"study_design_scores_gemma":[0.0000053349386,0.000019360317,0.0005272232,0.000004638091,0.000002849863,0.00007529431,0.00002091763,0.9858601,0.0021997308,0.01073874,0.0005382497,0.0000074514714],"about_ca_topic_score_codex":0.0016600625,"about_ca_topic_score_gemma":0.0014911075,"teacher_disagreement_score":0.0016946146,"about_ca_system_score_codex":0.0003450293,"about_ca_system_score_gemma":0.00019693568,"threshold_uncertainty_score":0.0056690574},"labels":[],"label_agreement":null},{"id":"W4417000531","doi":"10.1145/3763286","title":"Jump Restore Light Transport","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Markov chain Monte Carlo; Focus (optics); Jump; Sampling (signal processing); Importance sampling; Computer graphics; Markov chain; Markov process; Monte Carlo method","score_opus":0.017929742317778892,"score_gpt":0.289183965998506,"score_spread":0.2712542236807271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417000531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028845867,0.00029425987,0.94059014,0.0007298044,0.00032009458,0.0001570091,0.0004615564,0.002791523,0.025809858],"genre_scores_gemma":[0.70063907,0.000407577,0.26613757,0.00053462293,0.00013112772,0.00035228237,0.0006637512,0.0012419146,0.02989211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994099,0.00008679628,0.000018789064,0.00012897456,0.00025978373,0.00009568173],"domain_scores_gemma":[0.99874604,0.0004932407,0.0000993483,0.0002745615,0.0002671832,0.00011971813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008614804,0.00062037504,0.00093831227,0.0009635148,0.00136461,0.0018456031,0.0018628209,0.0018169952,0.012390796],"category_scores_gemma":[0.0046332795,0.0005405495,0.00087498315,0.0007580897,0.0013738942,0.0018545204,0.0022788858,0.0021408256,0.0015905965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033835808,0.00018060466,0.0027387526,0.0001891729,0.000066043634,0.00030920675,0.00025343095,0.5391642,0.011484947,0.3593259,0.010752393,0.07519703],"study_design_scores_gemma":[0.000018231258,0.0000134164,0.00014897475,0.000010827477,0.0000068667273,0.000025473699,0.000015257823,0.9659995,0.0016832062,0.028568704,0.0034932366,0.000016310973],"about_ca_topic_score_codex":0.00925965,"about_ca_topic_score_gemma":0.0066169566,"teacher_disagreement_score":0.012390796,"about_ca_system_score_codex":0.0024064367,"about_ca_system_score_gemma":0.0023883078,"threshold_uncertainty_score":0.041451335},"labels":[],"label_agreement":null},{"id":"W4417000583","doi":"10.1145/3763277","title":"Simplifying Textured Triangle Meshes in the Wild","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Innovation Council","funders":"","keywords":"Quadric; Polygon mesh; Metric (unit); Triangle mesh; Mesh generation; Surface (topology)","score_opus":0.027866853180481987,"score_gpt":0.3123054715328023,"score_spread":0.2844386183523203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417000583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023064194,0.00018960012,0.97109175,0.00012047523,0.000107182124,0.00008901562,0.00025770793,0.00282329,0.002256775],"genre_scores_gemma":[0.20935623,0.00035186706,0.7822346,0.00021342712,0.00008210124,0.00012788303,0.0015232706,0.0020852764,0.0040253215],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983463,0.0001879566,0.000093635346,0.0002761329,0.00096285687,0.00013305715],"domain_scores_gemma":[0.99767584,0.00077431026,0.00013367893,0.0008668944,0.00046533393,0.00008393295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008773395,0.0012001044,0.001518427,0.0015686301,0.00073411094,0.0020709264,0.0018299338,0.00093928055,0.005062109],"category_scores_gemma":[0.0059565324,0.00066066656,0.001623474,0.0010923294,0.0009809858,0.0020576918,0.002555792,0.0019854996,0.0018183654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038819286,0.00010459883,0.0027939,0.0006299228,0.00018923565,0.00073274603,0.0007859223,0.329564,0.107643895,0.028964318,0.013789612,0.5144136],"study_design_scores_gemma":[0.000039617902,0.000100186044,0.00062165863,0.00004622509,0.000034844612,0.00048454755,0.000197899,0.91976416,0.03969397,0.021188796,0.017784074,0.00004404826],"about_ca_topic_score_codex":0.003162781,"about_ca_topic_score_gemma":0.005301764,"teacher_disagreement_score":0.005062109,"about_ca_system_score_codex":0.00063783716,"about_ca_system_score_gemma":0.0006562583,"threshold_uncertainty_score":0.016934395},"labels":[],"label_agreement":null},{"id":"W4417000794","doi":"10.1145/3763321","title":"Gaussian Integral Linear Operators for Precomputed Graphics","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Kernel (algebra); Operator (biology); Graphics; Computer graphics; Gaussian; Boundary (topology); Basis function; Gaussian function; Basis (linear algebra)","score_opus":0.024936988692172403,"score_gpt":0.3193065197332631,"score_spread":0.29436953104109065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417000794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078513974,0.0002460617,0.9961754,0.00015531431,0.000049941154,0.000023889765,0.000025916792,0.00054505764,0.00199322],"genre_scores_gemma":[0.048212316,0.00086614245,0.94270146,0.00024191865,0.00011902358,0.00019497845,0.00012219558,0.0009121616,0.0066298987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985655,0.00035041058,0.000059228296,0.0001097985,0.0008438957,0.00007112094],"domain_scores_gemma":[0.998259,0.00081968185,0.00012381849,0.0003418241,0.00036993553,0.00008570017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016784703,0.0010092186,0.00064634584,0.0010376218,0.000687863,0.0019836891,0.0016178917,0.0016159351,0.009816628],"category_scores_gemma":[0.0058661783,0.0005728307,0.0009512201,0.0016051136,0.0015896918,0.0021853829,0.0025046794,0.003539722,0.0031363126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009744029,0.00007621651,0.00028132086,0.00026247007,0.00003608676,0.00015736725,0.00034376202,0.122415476,0.0165707,0.6718187,0.011420397,0.17652011],"study_design_scores_gemma":[0.000016824972,0.000020409672,0.00006719618,0.00003967207,0.000008448557,0.0001230795,0.0000349405,0.8262318,0.0052681407,0.14884159,0.01932383,0.000024139095],"about_ca_topic_score_codex":0.002157539,"about_ca_topic_score_gemma":0.0023066401,"teacher_disagreement_score":0.009816628,"about_ca_system_score_codex":0.0012968311,"about_ca_system_score_gemma":0.0014319413,"threshold_uncertainty_score":0.032839835},"labels":[],"label_agreement":null},{"id":"W4417000825","doi":"10.1145/3763326","title":"AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Intrinsics; Rendering (computer graphics); View synthesis; Gaussian; Graphics pipeline; Point cloud; Deep neural networks","score_opus":0.02030212405609238,"score_gpt":0.25677373036170764,"score_spread":0.23647160630561526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417000825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045460104,0.0001307534,0.9882162,0.00009263372,0.000054886023,0.000052771742,0.00018357001,0.004834454,0.0018887777],"genre_scores_gemma":[0.2969935,0.00036468904,0.68800235,0.0005309252,0.00007674641,0.00023667146,0.0017570176,0.0021815333,0.009856606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996449,0.00004866896,0.000011497925,0.00010061848,0.00015333126,0.00004104866],"domain_scores_gemma":[0.99968195,0.000121680336,0.000024267605,0.00009173788,0.000046851954,0.00003352911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059938047,0.0013673962,0.00084864063,0.00044158072,0.0002920729,0.0011701927,0.0019986662,0.0011236817,0.008757868],"category_scores_gemma":[0.0017893618,0.0007359921,0.0012879849,0.00039656498,0.00075155334,0.001291676,0.0024790035,0.002159107,0.0026735298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026262188,0.000103954924,0.00059537357,0.0001850696,0.00013130523,0.00020541846,0.00016227784,0.6071311,0.023554282,0.014110825,0.010021375,0.34353644],"study_design_scores_gemma":[0.000013071062,0.000032840813,0.000042802203,0.0000099526105,0.0000069983703,0.000046393736,0.00000988924,0.98773706,0.004364721,0.005594534,0.002132387,0.000009362711],"about_ca_topic_score_codex":0.004805749,"about_ca_topic_score_gemma":0.008839585,"teacher_disagreement_score":0.008757868,"about_ca_system_score_codex":0.0007399818,"about_ca_system_score_gemma":0.00095198996,"threshold_uncertainty_score":0.029297948},"labels":[],"label_agreement":null},{"id":"W4417000867","doi":"10.1145/3763306","title":"Generating the Past, Present and Future from a Motion-Blurred Image","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; University of Toronto; York University","funders":"","keywords":"Leverage (statistics); Prior probability; Image (mathematics); Moment (physics); Robustness (evolution); Object (grammar); Image restoration; Motion blur; Optical flow","score_opus":0.011319873760340259,"score_gpt":0.2696492367496998,"score_spread":0.25832936298935955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417000867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06716043,0.0013992889,0.921343,0.0015489041,0.00026137655,0.0001038923,0.0024992598,0.0026735393,0.0030103547],"genre_scores_gemma":[0.5057132,0.0016428063,0.4815047,0.00038118023,0.00032311253,0.000090336594,0.0047821957,0.00035467008,0.0052076424],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984443,0.000015551652,0.0000058370447,0.000083842286,0.00002941076,0.000020894173],"domain_scores_gemma":[0.9995808,0.00013610952,0.000053810054,0.00010939117,0.00007976734,0.000040171286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053332467,0.000712539,0.0005582713,0.0010413477,0.00029319528,0.00075307785,0.0010445516,0.0009773099,0.0019164135],"category_scores_gemma":[0.0020466868,0.00046217296,0.0007947395,0.0006448971,0.0005260457,0.0017766529,0.00070976274,0.0016345442,0.000688779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006158695,0.00023129027,0.018263567,0.0005681566,0.00023608677,0.00061115134,0.0008373093,0.258589,0.06326332,0.03589621,0.025152788,0.59573525],"study_design_scores_gemma":[0.000021190132,0.00006340519,0.0045048143,0.000071521405,0.000054897642,0.0002547132,0.00013902244,0.94889385,0.014670861,0.021615367,0.0096569145,0.000053522937],"about_ca_topic_score_codex":0.012434016,"about_ca_topic_score_gemma":0.023386654,"teacher_disagreement_score":0.012434016,"about_ca_system_score_codex":0.00084790465,"about_ca_system_score_gemma":0.0007951576,"threshold_uncertainty_score":0.024723291},"labels":[],"label_agreement":null},{"id":"W7108453294","doi":"10.1145/3763319","title":"Control Operators for Interactive Character Animation","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Character animation; Control (management); Character (mathematics); Joystick; Set (abstract data type); Feature (linguistics); Artificial neural network; Simple (philosophy)","score_opus":0.010696141680193505,"score_gpt":0.24941039812881638,"score_spread":0.23871425644862287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108453294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004025811,0.00007968156,0.9922361,0.00009288378,0.0000303413,0.000039985865,0.00003482886,0.0009101852,0.002550271],"genre_scores_gemma":[0.5135588,0.0003488368,0.4754854,0.00022440565,0.000075375734,0.00038047586,0.00020616966,0.000509091,0.009211461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996068,0.00010763127,0.000029806602,0.00009208631,0.00013458748,0.000029199498],"domain_scores_gemma":[0.99939215,0.00034867987,0.000061971215,0.00007414919,0.00008616143,0.000036938836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009372114,0.0006699066,0.0002393758,0.00040559503,0.00028477522,0.0006643482,0.00081575185,0.00077035005,0.006478785],"category_scores_gemma":[0.0030625751,0.00025786084,0.0005218044,0.00022362183,0.00094834383,0.0011192795,0.0009122408,0.001325247,0.00058364886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018476705,0.000107385655,0.0005487077,0.00023301881,0.000031800708,0.00014400641,0.00038122313,0.60708505,0.034366958,0.18089992,0.0049070823,0.17111008],"study_design_scores_gemma":[0.000011861304,0.0000369638,0.00007414015,0.000014004851,0.0000053472163,0.00002565526,0.000012724364,0.96903986,0.0028546597,0.023645775,0.0042713345,0.0000075680164],"about_ca_topic_score_codex":0.00316704,"about_ca_topic_score_gemma":0.0027794682,"teacher_disagreement_score":0.006478785,"about_ca_system_score_codex":0.000691022,"about_ca_system_score_gemma":0.0006186167,"threshold_uncertainty_score":0.02167368},"labels":[],"label_agreement":null}]}