{"meta":{"query_hash":"574dd3915997","filters":{"venue":"The International Journal of Robotics Research"},"cohort_total":159,"direct_labels_cover":0,"predictions_cover":159,"exported":159,"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/574dd3915997","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+International+Journal+of+Robotics+Research"},"results":[{"id":"W1670818045","doi":"10.1177/0278364915589642","title":"Relative continuous-time SLAM","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","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":"University of Toronto","funders":"","keywords":"Simultaneous localization and mapping; Computer science; Estimator; Artificial intelligence; Outlier; Computer vision; Tree traversal; Robot; Trajectory; Algorithm; Mathematics; Mobile robot","score_opus":0.08188653978043864,"score_gpt":0.34210042571361493,"score_spread":0.2602138859331763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1670818045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16872148,0.0025338193,0.6958186,0.033062834,0.0077530947,0.0006681509,0.000024519268,0.00017676756,0.09124075],"genre_scores_gemma":[0.99286485,0.0001658946,0.004218169,0.00006332487,0.00073759997,0.0000010646229,0.000005361411,0.000032202868,0.0019115219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790215,0.00012928601,0.00033456399,0.000058670947,0.0013856683,0.00018965128],"domain_scores_gemma":[0.9970219,0.00035528876,0.000072140574,0.00012916389,0.0023022976,0.00011920255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018777401,0.00007700199,0.00013247528,0.0002430752,0.000047064117,0.00012756043,0.0006778476,0.000052991178,0.00004268607],"category_scores_gemma":[0.0005994261,0.00005375934,0.00006449156,0.00018345384,0.00009752012,0.00018058528,0.00007086623,0.00052555546,0.00015760135],"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":[0.000047261474,0.000026327089,0.00014241633,0.000002276158,0.00014760792,0.000056422512,0.00044136666,0.9691264,0.0013656981,0.008228896,0.019456418,0.00095888023],"study_design_scores_gemma":[0.0011488429,0.00027344146,0.00024339932,0.000110819485,0.000024104736,0.00023431139,0.0005659166,0.9584231,0.0034655067,0.019558044,0.015788171,0.00016437215],"about_ca_topic_score_codex":0.000009031564,"about_ca_topic_score_gemma":0.0000027694932,"teacher_disagreement_score":0.82414335,"about_ca_system_score_codex":0.00025558428,"about_ca_system_score_gemma":0.00012383788,"threshold_uncertainty_score":0.22833063},"labels":[],"label_agreement":null},{"id":"W1822001265","doi":"10.1177/02783640122067570","title":"RHex: A Simple and Highly Mobile Hexapod Robot","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":1313,"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":"Defense Advanced Research Projects Agency","keywords":"Hexapod; Traverse; Computer science; Tree traversal; Robot; Terrain; Swing; Control theory (sociology); Simulation; Actuator; Mobile robot; Gait; Engineering; Artificial intelligence; Control (management)","score_opus":0.04142967553307336,"score_gpt":0.3385636401200082,"score_spread":0.29713396458693486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1822001265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6068604,0.0069722873,0.3269197,0.036242057,0.0042735413,0.00096515846,0.000014963477,0.00018256379,0.017569326],"genre_scores_gemma":[0.9963479,0.0014892096,0.0009992778,0.00009462493,0.00048671357,0.0000049684245,0.000001336129,0.000019027833,0.00055692944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832696,0.00008526194,0.0003238968,0.00007348465,0.00095317536,0.00023724459],"domain_scores_gemma":[0.99871993,0.000325268,0.000052657975,0.00014288364,0.0006447817,0.000114473114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011014878,0.00008736416,0.00014191963,0.00023955574,0.00008260892,0.00017240724,0.00066723494,0.00004411215,0.00012787078],"category_scores_gemma":[0.000112697846,0.000060534057,0.000066432935,0.0001720875,0.00009556608,0.0001487326,0.00010004787,0.000517412,0.000038870097],"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":[0.00007478516,0.000066767985,0.0007132544,0.000007041592,0.00024237213,0.00013836857,0.00031999685,0.9622219,0.0037653716,0.003356094,0.0059932033,0.023100808],"study_design_scores_gemma":[0.0048773447,0.0007799034,0.008016452,0.0002142875,0.00006946712,0.0036577594,0.0017001012,0.85014975,0.00273125,0.022840776,0.10445542,0.00050747494],"about_ca_topic_score_codex":0.00001634741,"about_ca_topic_score_gemma":0.000014551064,"teacher_disagreement_score":0.38948753,"about_ca_system_score_codex":0.00012256189,"about_ca_system_score_gemma":0.000052333235,"threshold_uncertainty_score":0.24685073},"labels":[],"label_agreement":null},{"id":"W1964808430","doi":"10.1177/0278364904046632","title":"Sun-Synchronous Robotic Exploration: Technical Description and Field Experimentation","year":2005,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":42,"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":"Terrain; Computer science; Software; Process (computing); Field (mathematics); Plan (archaeology); Mars Exploration Program; Exploration of Mars; Systems engineering; Simulation; Engineering; Geography; Astrobiology; Physics","score_opus":0.12665639610523438,"score_gpt":0.40210436698391655,"score_spread":0.27544797087868217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964808430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004056032,0.0004453214,0.9448771,0.049360257,0.00071536895,0.00011326543,2.61252e-7,0.000022846581,0.00040956773],"genre_scores_gemma":[0.7186535,0.00020337504,0.27996492,0.0003068936,0.000678443,0.0000054279594,0.0000011064951,0.0000078369885,0.00017848713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974963,0.00020976762,0.00042516174,0.00016381711,0.0014787948,0.00022617426],"domain_scores_gemma":[0.9979176,0.0006198501,0.00018032674,0.00023579762,0.000947939,0.00009850267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019897479,0.000092613845,0.00013055584,0.00032066295,0.00016909215,0.0004954417,0.0015386346,0.00006114282,0.000013416316],"category_scores_gemma":[0.00041333504,0.00006825756,0.00005105975,0.00024296135,0.00010679626,0.0012126861,0.00035235693,0.00053617125,0.000028814435],"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":[0.0001608584,0.0005017831,0.0005970043,0.000012201265,0.00019484361,0.00025639136,0.005182044,0.752677,0.030574122,0.05912203,0.018015182,0.13270652],"study_design_scores_gemma":[0.0013970099,0.0012209715,0.0014660622,0.00021979326,0.000020603902,0.0025310707,0.00087587326,0.95534825,0.020779802,0.01403367,0.0018154285,0.0002914679],"about_ca_topic_score_codex":0.000016766051,"about_ca_topic_score_gemma":0.000006070842,"teacher_disagreement_score":0.71459746,"about_ca_system_score_codex":0.0002620984,"about_ca_system_score_gemma":0.00016791436,"threshold_uncertainty_score":0.4777556},"labels":[],"label_agreement":null},{"id":"W1965105038","doi":"10.1177/02783640122067507","title":"Flexible Part Orienting Using Rotation Direction and Force Measurements","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","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":"Simon Fraser University","funders":"","keywords":"Rotation (mathematics); Torque; Fence (mathematics); Computer science; Computer vision; Planar; Artificial intelligence; Control theory (sociology); Algorithm; Simulation; Engineering; Physics; Control (management); Computer graphics (images)","score_opus":0.2648731933209197,"score_gpt":0.405196979852524,"score_spread":0.14032378653160432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965105038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62719727,0.0006715853,0.36212602,0.0013996868,0.00242476,0.00016987354,2.5634486e-7,0.00005437379,0.0059561837],"genre_scores_gemma":[0.9970766,0.00020672467,0.001726143,0.000016491724,0.00047295314,7.718562e-7,0.0000011785315,0.000014138395,0.00048502377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856514,0.00008706652,0.00025152927,0.000058520123,0.0008931567,0.00014461],"domain_scores_gemma":[0.99881315,0.00011788597,0.0000758026,0.00006304581,0.0008842755,0.000045810346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742423,0.000054329306,0.00007028731,0.00023898446,0.00014315144,0.00015957865,0.00019817674,0.000027140346,0.000037352496],"category_scores_gemma":[0.0002964661,0.00004323159,0.000027154854,0.00023399023,0.00003105923,0.00024732985,0.000041661602,0.00032519895,0.000006121047],"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":[0.000024410308,0.000008835176,0.006050906,0.0000044731223,0.00006192517,0.000005865894,0.00024545222,0.9799161,0.008201414,0.00024628034,0.0002296776,0.0050046705],"study_design_scores_gemma":[0.00046239473,0.000038744725,0.0051727784,0.00014862497,0.000014787838,0.0002613303,0.00044227456,0.98662543,0.00280113,0.0007838329,0.0031616131,0.000087066306],"about_ca_topic_score_codex":0.000014229785,"about_ca_topic_score_gemma":0.0000069692087,"teacher_disagreement_score":0.3698793,"about_ca_system_score_codex":0.00016609298,"about_ca_system_score_gemma":0.00003028059,"threshold_uncertainty_score":0.17629331},"labels":[],"label_agreement":null},{"id":"W1968685177","doi":"10.1177/0278364910378179","title":"Field Testing of an Integrated Surface/Subsurface Modeling Technique for Planetary Exploration","year":2010,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Geophysical Methods and Applications","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":true,"ca_institutions":"Western University; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Ground-penetrating radar; Mars Exploration Program; Remote sensing; Geology; Planetary exploration; Exploration of Mars; Radar; Martian surface; Planetary surface; Transect; Astrobiology; Aerospace engineering; Martian; Engineering","score_opus":0.15935191770392712,"score_gpt":0.4059031436789617,"score_spread":0.24655122597503457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968685177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34489572,0.000014661447,0.65375006,0.00083854405,0.00020100384,0.00016360718,0.000008812909,0.00001153489,0.00011604464],"genre_scores_gemma":[0.6907856,0.000011988403,0.30901742,0.0000066094512,0.0001489426,0.0000059621775,0.0000048074653,0.000009772665,0.000008908444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990558,0.000049755465,0.00029934014,0.000059021542,0.00041663065,0.00011942635],"domain_scores_gemma":[0.9974022,0.0010201255,0.00006701398,0.00013512811,0.0013280573,0.00004749958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015682677,0.00005970684,0.00010427021,0.000089702495,0.000054722143,0.000045290944,0.00057896785,0.000053924905,0.000007632426],"category_scores_gemma":[0.00060124195,0.0000430259,0.00004097104,0.00016608591,0.000034512246,0.00016512991,0.000034317225,0.00064398046,0.0000014054121],"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":[0.000024322393,0.000023724964,0.00001564771,0.0000066031953,0.000020901183,7.5066606e-7,0.000054724555,0.6041877,0.39053425,0.0008922991,0.000052678308,0.004186391],"study_design_scores_gemma":[0.00010661488,0.00013237547,0.0000247884,0.000038924874,0.000005887569,0.000016524125,0.00013924681,0.8707614,0.11168586,0.016918164,0.00012627889,0.000043968488],"about_ca_topic_score_codex":0.00005183669,"about_ca_topic_score_gemma":0.000020220723,"teacher_disagreement_score":0.34588987,"about_ca_system_score_codex":0.000021058504,"about_ca_system_score_gemma":0.000056292196,"threshold_uncertainty_score":0.27978104},"labels":[],"label_agreement":null},{"id":"W1972332889","doi":"10.1177/0278364905057856","title":"Local Model of Interaction for Haptic Manipulation of Rigid Virtual Worlds","year":2005,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"University of British Columbia; University of Victoria","funders":"","keywords":"Haptic technology; Computer science; Virtual machine; Contact force; Kinesthetic learning; Human–computer interaction; Rigid body; Simulation; Physics","score_opus":0.12242655469297531,"score_gpt":0.3792892516574808,"score_spread":0.2568626969645055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972332889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11237404,0.00008428575,0.8850406,0.0010628419,0.00053092255,0.00013037706,0.000006948674,0.0000074055074,0.0007626227],"genre_scores_gemma":[0.9939098,0.000049249356,0.005378411,0.000012074306,0.0003125768,0.0000026073672,0.0000026142961,0.000013198277,0.00031951812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847084,0.000040453422,0.000556933,0.00004664271,0.0007792273,0.00010590741],"domain_scores_gemma":[0.9981746,0.0003012653,0.00013542366,0.00009437406,0.0012578086,0.000036525893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010781314,0.000058913447,0.00013951703,0.00033789306,0.0000281059,0.000031660613,0.00037987996,0.000040113344,0.00003150274],"category_scores_gemma":[0.00011310604,0.000044390752,0.000086878485,0.00009585149,0.000065393426,0.00018672226,0.000030229874,0.00022515749,0.000005783761],"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":[0.00009204332,0.000038501537,0.000030873955,0.000015037733,0.00010621909,4.721871e-7,0.0005625573,0.9577817,0.019273158,0.014360684,0.00074319734,0.0069955685],"study_design_scores_gemma":[0.00040077054,0.00008536704,0.000074911666,0.00008409526,0.000007943153,0.00002530283,0.0004735258,0.98809624,0.009626541,0.0005669245,0.0005214887,0.000036880967],"about_ca_topic_score_codex":0.000009150809,"about_ca_topic_score_gemma":0.000032172513,"teacher_disagreement_score":0.8815357,"about_ca_system_score_codex":0.0001804931,"about_ca_system_score_gemma":0.0000673422,"threshold_uncertainty_score":0.18102023},"labels":[],"label_agreement":null},{"id":"W1973546417","doi":"10.1177/0278364910388315","title":"Bounding on rough terrain with the LittleDog robot","year":2010,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Motion planning; Bounding overwatch; Computer science; Kinematics; Control theory (sociology); Terrain; Underactuation; Robot; Configuration space; Collision detection; Mathematics; Artificial intelligence; Collision","score_opus":0.0637981599763835,"score_gpt":0.3800991571025951,"score_spread":0.3163009971262116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973546417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029637873,0.000083804785,0.7470246,0.21429202,0.0039698756,0.00025497723,0.0000022826064,0.00003806979,0.0046965047],"genre_scores_gemma":[0.8776926,0.000020184014,0.1190457,0.00064718426,0.001444714,0.0000047692038,7.549644e-7,0.000020257652,0.0011238743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99577844,0.00030820366,0.00032148688,0.00018982867,0.0030108604,0.00039120443],"domain_scores_gemma":[0.99582994,0.0018630467,0.0002516571,0.0006065979,0.0013322057,0.00011655894],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0056630797,0.00012825285,0.00014783438,0.00031213195,0.00038290952,0.0008968863,0.005942091,0.000056253735,0.000016326867],"category_scores_gemma":[0.00070002145,0.000060708022,0.000082978135,0.00044170817,0.00033762451,0.00034852538,0.00049455557,0.0021656211,0.000061897845],"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":[0.0003107566,0.00039993055,0.0010914605,0.000008224024,0.0005760074,0.0011845472,0.008175249,0.71135294,0.010832526,0.20900592,0.023977945,0.033084482],"study_design_scores_gemma":[0.0032487053,0.0028288483,0.014645832,0.0007133396,0.000048913498,0.009040639,0.0014534425,0.88684475,0.008226557,0.04017702,0.03199648,0.00077549263],"about_ca_topic_score_codex":0.00003070597,"about_ca_topic_score_gemma":0.000016153203,"teacher_disagreement_score":0.8480547,"about_ca_system_score_codex":0.0001280509,"about_ca_system_score_gemma":0.0003848835,"threshold_uncertainty_score":0.99943626},"labels":[],"label_agreement":null},{"id":"W1981983914","doi":"10.1177/0278364911398404","title":"The UTIAS multi-robot cooperative localization and mapping dataset","year":2011,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Robot; Simultaneous localization and mapping; Computer science; Artificial intelligence; Process (computing); Data collection; Computer vision; Data mining; Mobile robot; Mathematics","score_opus":0.1690847374631491,"score_gpt":0.3532999907325306,"score_spread":0.1842152532693815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981983914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004043084,0.00092147366,0.9918285,0.0016155232,0.00088097947,0.00018349358,0.00003603198,0.000016715738,0.00047416874],"genre_scores_gemma":[0.9910148,0.0026505399,0.005756174,0.000116095594,0.00025950916,0.0000027151673,0.0000453483,0.000029268102,0.00012554566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851495,0.00015542185,0.00035245655,0.00007865597,0.0007035039,0.00019502711],"domain_scores_gemma":[0.99832946,0.000354745,0.0000756115,0.00016290916,0.0010064283,0.00007084635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015128088,0.00008854425,0.00009816555,0.00015933084,0.00026397314,0.00020232273,0.0006331212,0.000044321867,0.000021897546],"category_scores_gemma":[0.00031451238,0.000052324238,0.000029354225,0.00019383238,0.00021251189,0.00015649945,0.00011501532,0.0004091293,0.000013421224],"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":[0.00004979711,0.000039050185,0.00038499729,0.000008190958,0.00018991565,0.000033126555,0.0012834712,0.98134017,0.00090721366,0.0063854842,0.006478145,0.0029004654],"study_design_scores_gemma":[0.00043717388,0.00006615647,0.00096612476,0.000063767606,0.000011648495,0.00009440833,0.00095500314,0.98839647,0.001883392,0.0008480594,0.006187398,0.00009038395],"about_ca_topic_score_codex":0.000031569867,"about_ca_topic_score_gemma":0.000045938596,"teacher_disagreement_score":0.98697174,"about_ca_system_score_codex":0.00009177522,"about_ca_system_score_gemma":0.00005599437,"threshold_uncertainty_score":0.21337205},"labels":[],"label_agreement":null},{"id":"W1984999324","doi":"10.1177/02783640022066860","title":"Singularity Analysis and Representation of the General Gough-Stewart Platform","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":202,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Singularity; Jacobian matrix and determinant; Cartesian coordinate system; Workspace; Mathematics; Parallel manipulator; Stewart platform; Gravitational singularity; Representation (politics); Locus (genetics); Polynomial; Generalization; Expression (computer science); Algorithm; Computer science; Geometry; Applied mathematics; Algebra over a field; Mathematical analysis; Pure mathematics; Robot; Artificial intelligence; Kinematics","score_opus":0.04755126972119948,"score_gpt":0.34438096985657424,"score_spread":0.29682970013537474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984999324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89556193,0.00018277987,0.099047884,0.0020991904,0.0005014383,0.00011831304,0.000008737915,0.000008984225,0.002470724],"genre_scores_gemma":[0.9791692,0.00043237116,0.019506767,0.000027178243,0.00019747078,7.2858126e-7,0.000002326969,0.000010617412,0.00065336004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841994,0.0000647991,0.00033402236,0.00006147871,0.0009901394,0.00012963262],"domain_scores_gemma":[0.9990701,0.0001959697,0.00007342181,0.00018611689,0.00042979917,0.000044570217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093399786,0.000060016075,0.00014447545,0.0001902672,0.00007455022,0.00007672707,0.0005790568,0.00004077704,0.00010513886],"category_scores_gemma":[0.00009725334,0.000035635898,0.00012446078,0.00044437815,0.00009942282,0.000109887886,0.000078988065,0.00034877364,0.0000022572874],"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":[0.000030314632,0.000019524376,0.0013490446,0.0000045670063,0.00046650413,0.000006367532,0.00023648058,0.98307693,0.0014730257,0.0077560577,0.00015004647,0.005431135],"study_design_scores_gemma":[0.0003567212,0.000050293333,0.012614979,0.000037061513,0.00013470766,0.0001014696,0.00015777795,0.9600133,0.0035458077,0.022781298,0.00013251157,0.00007409219],"about_ca_topic_score_codex":0.000076498705,"about_ca_topic_score_gemma":0.000055970242,"teacher_disagreement_score":0.083607234,"about_ca_system_score_codex":0.00007525919,"about_ca_system_score_gemma":0.00003871754,"threshold_uncertainty_score":0.15152672},"labels":[],"label_agreement":null},{"id":"W1989694300","doi":"10.1177/0278364903022002001","title":"A Framework for Steering Dynamic Robotic Locomotion Systems","year":2003,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Control and Dynamics of Mobile Robots","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":"Western University","funders":"","keywords":"Kinematics; Modular design; Holonomic; Geometric mechanics; Control engineering; Mechanical system; Robot; Computer science; Control theory (sociology); Robot locomotion; Motion planning; Motion (physics); Class (philosophy); Set (abstract data type); Artificial intelligence; Engineering; Robot control; Mobile robot; Control (management); Analytical mechanics; Classical mechanics; Physics","score_opus":0.04955225263117252,"score_gpt":0.35521509903071,"score_spread":0.3056628463995375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989694300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00646167,0.0017946325,0.9866629,0.0011361403,0.0031780906,0.00030339355,0.000004145639,0.000025557485,0.00043343753],"genre_scores_gemma":[0.9833021,0.00040312725,0.015705265,0.000012872472,0.00031311339,0.000017267468,0.000001918529,0.000036006833,0.00020829779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809897,0.00010727295,0.00043471632,0.00009006899,0.00095510454,0.00031385687],"domain_scores_gemma":[0.9974514,0.0010952955,0.00009500774,0.0001887294,0.0010802102,0.00008936021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022025297,0.00011224944,0.0001970052,0.00030149522,0.00009713454,0.00022878565,0.00078744156,0.000082583094,0.000012034215],"category_scores_gemma":[0.0006938336,0.000084152685,0.00013508729,0.0001674535,0.00005432024,0.00013955747,0.000046188095,0.00064297667,0.000012669317],"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":[0.000030488234,0.000030605548,0.000033203854,0.0000305321,0.00018702843,0.000013905562,0.000075995245,0.93089896,0.0008432734,0.06588066,0.0002499128,0.0017254399],"study_design_scores_gemma":[0.00053916115,0.00010611698,0.000119952136,0.00023240788,0.000020710284,0.00020659319,0.00024247305,0.96822315,0.00008647676,0.02877983,0.0013377831,0.00010536531],"about_ca_topic_score_codex":0.0000048377847,"about_ca_topic_score_gemma":0.000008982561,"teacher_disagreement_score":0.97684044,"about_ca_system_score_codex":0.00037854805,"about_ca_system_score_gemma":0.00008623741,"threshold_uncertainty_score":0.34316468},"labels":[],"label_agreement":null},{"id":"W1990482689","doi":"10.1177/0278364906061081","title":"Discrete-time Linear Quadratic Gaussian Control for Teleoperation Under Communication Time Delay","year":2006,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear-quadratic-Gaussian control; Control theory (sociology); Teleoperation; Computer science; Discrete time and continuous time; Model predictive control; Robust control; Optimal projection equations; Robustness (evolution); Control engineering; Engineering; Control system; Mathematics; Control (management); Artificial intelligence","score_opus":0.032267731401006625,"score_gpt":0.3327052524010334,"score_spread":0.30043752100002674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990482689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05718915,0.0018651186,0.8990472,0.030219987,0.0011233448,0.0011064009,0.0000822121,0.00012691399,0.009239655],"genre_scores_gemma":[0.9934163,0.00007402471,0.0036591075,0.000066054825,0.00078465993,0.000014167764,0.00004276898,0.000029029196,0.0019138765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822205,0.00015099274,0.00054511835,0.00007180577,0.00081784296,0.00019219586],"domain_scores_gemma":[0.9978487,0.00067493145,0.00010005988,0.00020640374,0.0011157851,0.000054105058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016957689,0.000098999466,0.0001714698,0.00021191298,0.00016755186,0.00025368365,0.00069892884,0.000064956424,0.00013755748],"category_scores_gemma":[0.00013255926,0.000069437265,0.00009173978,0.00010910262,0.00008000973,0.00021794859,0.000031840827,0.0003276699,0.00011363611],"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":[0.00006714299,0.000043703312,0.000044067987,0.000009606998,0.00015735968,0.0000034380787,0.0001590204,0.9630137,0.015625969,0.0127081815,0.007645061,0.0005227488],"study_design_scores_gemma":[0.0010338096,0.000077566874,0.00019692961,0.000077638106,0.000020853324,0.000068204296,0.00012872646,0.99087924,0.0010737516,0.0019594794,0.004385152,0.00009863423],"about_ca_topic_score_codex":0.000032789652,"about_ca_topic_score_gemma":0.000043710537,"teacher_disagreement_score":0.93622714,"about_ca_system_score_codex":0.00020644708,"about_ca_system_score_gemma":0.00009376789,"threshold_uncertainty_score":0.28315696},"labels":[],"label_agreement":null},{"id":"W1993201813","doi":"10.1177/02783640022066923","title":"Dynamics of a Mobile Robot with Three Ball-Wheels","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Control and Dynamics of Mobile Robots","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":"McGill University","funders":"","keywords":"Ball (mathematics); Kinematics; Actuator; Control theory (sociology); Holonomic; Holonomy; Inertial frame of reference; Mobile robot; Orientation (vector space); Robot; Engineering; Computer science; Control engineering; Classical mechanics; Mathematics; Physics; Geometry; Artificial intelligence; Mathematical analysis; Control (management)","score_opus":0.019225370397017057,"score_gpt":0.2927959613062924,"score_spread":0.2735705909092753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993201813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74214125,0.0025894903,0.21995884,0.011448281,0.0012530296,0.0008964405,0.00008419257,0.00008946172,0.021539027],"genre_scores_gemma":[0.99556065,0.00065572246,0.003049735,0.000018553845,0.00022183023,0.000006669397,0.0000041536327,0.000028537017,0.00045416632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977553,0.00005251649,0.00043920183,0.000082719205,0.0014133436,0.00025694675],"domain_scores_gemma":[0.9981849,0.00039886154,0.000085423606,0.00022713217,0.0010160592,0.00008759055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011085535,0.00011372934,0.00022491894,0.00024341514,0.000050983028,0.00007718208,0.0012118316,0.000054814784,0.00028571792],"category_scores_gemma":[0.00004567619,0.00007358395,0.00010783581,0.00021793321,0.00016006573,0.000151412,0.000069256384,0.00061093934,0.00002116251],"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":[0.00020288712,0.00006758956,0.00034449346,0.000011392865,0.00028442044,0.00004976155,0.00010300694,0.9571371,0.00054654066,0.0018159411,0.00025486975,0.03918198],"study_design_scores_gemma":[0.0010969349,0.00043418197,0.0017356151,0.00017476911,0.000029409995,0.00031799462,0.00014125214,0.98946065,0.00024087777,0.005600058,0.0006361262,0.00013211621],"about_ca_topic_score_codex":0.000049637885,"about_ca_topic_score_gemma":0.00041431154,"teacher_disagreement_score":0.2534194,"about_ca_system_score_codex":0.00021718515,"about_ca_system_score_gemma":0.000120031,"threshold_uncertainty_score":0.3128411},"labels":[],"label_agreement":null},{"id":"W1993730936","doi":"10.1177/0278364914558017","title":"Motion primitives and 3D path planning for fast flight through a forest","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","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":"McGill University","funders":"","keywords":"Path (computing); Waypoint; Motion planning; Computer science; Control theory (sociology); Trajectory; Motion (physics); Constant (computer programming); Motion control; Obstacle; Obstacle avoidance; Configuration space; State (computer science); Sequence (biology); Robot; Control (management); Mobile robot; Artificial intelligence; Algorithm; Real-time computing","score_opus":0.2084760234536936,"score_gpt":0.42492986621057866,"score_spread":0.21645384275688506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993730936","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061214264,0.0004146802,0.9841638,0.0076458375,0.00087020977,0.0001566171,0.0000034954533,0.000013781643,0.0006101402],"genre_scores_gemma":[0.40591237,0.000058456477,0.5927903,0.00015182361,0.0007848524,0.0000072690395,0.0000031297297,0.000015062735,0.00027675254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751496,0.00017908891,0.00033405976,0.0001683509,0.0015213317,0.00028218352],"domain_scores_gemma":[0.9965204,0.00088593,0.00021372557,0.00020000985,0.0020544962,0.0001254461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032530942,0.0000968269,0.00015167653,0.00021684339,0.0001478616,0.00040059356,0.0016662928,0.000048844748,7.410448e-7],"category_scores_gemma":[0.0010494544,0.000065175685,0.00005321427,0.00018550524,0.00014087999,0.00062348234,0.0004265299,0.00041695533,0.0000052198934],"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":[0.00033489545,0.00028142697,0.008055103,0.000030243817,0.00041031858,0.00046565334,0.023122003,0.82036126,0.0006632123,0.09954322,0.014574062,0.03215862],"study_design_scores_gemma":[0.0015537888,0.0006748271,0.004378161,0.00029221587,0.000013512672,0.0010465361,0.0011235058,0.9365213,0.00045110463,0.051249977,0.002533079,0.00016199588],"about_ca_topic_score_codex":0.000013463745,"about_ca_topic_score_gemma":7.66659e-7,"teacher_disagreement_score":0.39979094,"about_ca_system_score_codex":0.00015297232,"about_ca_system_score_gemma":0.00027312269,"threshold_uncertainty_score":0.3862933},"labels":[],"label_agreement":null},{"id":"W1995813020","doi":"10.1177/0278364913504011","title":"Persistent monitoring in discrete environments: Minimizing the maximum weighted latency between observations","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":125,"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":"Vertex (graph theory); Neighbourhood (mathematics); Feedback vertex set; Approximation algorithm; Vertex cover; Latency (audio); Patrolling; Combinatorics; Time complexity; Algorithm; Graph; Mathematics; Computer science","score_opus":0.14401273056313005,"score_gpt":0.3575397659671938,"score_spread":0.21352703540406373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995813020","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21945131,0.0006234893,0.47242084,0.3032591,0.0015959999,0.0009580031,0.000004565842,0.000025309306,0.0016613872],"genre_scores_gemma":[0.9647875,0.00047994635,0.033392403,0.00010206,0.0003179328,0.000013701658,0.0000017367904,0.000010491709,0.0008942253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99703294,0.00035653994,0.00045681826,0.00012829533,0.0017268946,0.0002985061],"domain_scores_gemma":[0.998147,0.00073363236,0.00015695492,0.00028645436,0.0005833189,0.000092644004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022472676,0.000080415084,0.00010897018,0.0002905868,0.00022406351,0.00055255415,0.0030920485,0.000037352667,0.000035088968],"category_scores_gemma":[0.00022003148,0.00004567137,0.00009524811,0.000413061,0.00012774327,0.0007241775,0.00062759756,0.00072454056,0.000047419577],"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":[0.00005223062,0.0005030752,0.19438663,0.000019336878,0.00090955565,0.000104278435,0.012940996,0.6956984,0.0060608145,0.042159785,0.0032263973,0.04393852],"study_design_scores_gemma":[0.001710567,0.00037563304,0.23590434,0.00038681395,0.0000214507,0.00008922353,0.0037010119,0.70175356,0.0010947203,0.050167292,0.004465953,0.0003294148],"about_ca_topic_score_codex":0.000095541545,"about_ca_topic_score_gemma":0.0000035101393,"teacher_disagreement_score":0.7453362,"about_ca_system_score_codex":0.00023706902,"about_ca_system_score_gemma":0.00011603089,"threshold_uncertainty_score":0.57458466},"labels":[],"label_agreement":null},{"id":"W1999578039","doi":"10.1177/0278364908100924","title":"Flagellated Magnetotactic Bacteria as Controlled MRI-trackable Propulsion and Steering Systems for Medical Nanorobots Operating in the Human Microvasculature","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":453,"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; Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Nanorobotics; Magnetotactic bacteria; Propulsion; Computer science; Magnetosome; Nanotechnology; Miniaturization; Engineering; Materials science; Aerospace engineering","score_opus":0.023151049489078063,"score_gpt":0.34651308179776535,"score_spread":0.3233620323086873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999578039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805258,0.007777112,0.00025034288,0.010121828,0.00033483462,0.00060936325,0.0000029158493,0.0000020897776,0.00037573354],"genre_scores_gemma":[0.99636644,0.0018435942,0.00046155736,0.00015969633,0.00055674184,0.000012091376,0.000011932504,0.000009093314,0.0005788397],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980057,0.00032835602,0.00042689443,0.00015162304,0.00083750236,0.00024990895],"domain_scores_gemma":[0.99880666,0.00021561769,0.00013008445,0.00015503148,0.0006341242,0.00005846558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003253535,0.000114277325,0.00021438986,0.00010105183,0.0002222278,0.00023862865,0.0006982165,0.00011672241,0.000012462368],"category_scores_gemma":[0.00062623055,0.000063478205,0.00008390864,0.000084416126,0.00009669216,0.000012610201,0.00011425525,0.00039354104,0.0000012202448],"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":[0.0009282661,0.0002543706,0.0012993367,0.00006152326,0.00036504772,0.00019867027,0.0010525797,0.013881678,0.97364354,0.0011583437,0.0043078703,0.0028487851],"study_design_scores_gemma":[0.17351754,0.06387942,0.3604937,0.008103905,0.0012009924,0.036709666,0.028748488,0.1069925,0.11526402,0.016237365,0.08417673,0.0046756663],"about_ca_topic_score_codex":0.000048593334,"about_ca_topic_score_gemma":0.00004364388,"teacher_disagreement_score":0.8583795,"about_ca_system_score_codex":0.000020144027,"about_ca_system_score_gemma":0.00010737432,"threshold_uncertainty_score":0.2588566},"labels":[],"label_agreement":null},{"id":"W2001496915","doi":"10.1177/0278364913478672","title":"Gaussian Process Gauss–Newton for non-parametric simultaneous localization and mapping","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":68,"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":"Odometry; Gaussian process; Gaussian; Simultaneous localization and mapping; Range (aeronautics); Parametric statistics; Gauss; Algorithm; Computer science; Mathematical optimization; Mathematics; Nonlinear system; Artificial intelligence; Engineering","score_opus":0.03910201467556445,"score_gpt":0.32924498220000353,"score_spread":0.2901429675244391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001496915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070582666,0.00023744562,0.92398936,0.0037580654,0.0005798285,0.00047997892,0.000004053762,0.00002126886,0.00034732107],"genre_scores_gemma":[0.9960523,0.00031837245,0.003036083,0.0000704918,0.00032183595,0.000008650915,0.000007648315,0.000030294153,0.00015429054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839187,0.000044112563,0.00039619426,0.00009657838,0.0008287755,0.00024248974],"domain_scores_gemma":[0.99701375,0.00075765525,0.0000949876,0.00010754359,0.0019266127,0.00009946878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007482617,0.000102775004,0.00014397883,0.0005174067,0.00012079632,0.00028698932,0.00045102785,0.00009174248,0.000023271934],"category_scores_gemma":[0.00065489684,0.0000748953,0.00004827882,0.0003999449,0.00007866487,0.0001908881,0.000040340386,0.00039916777,0.000011988424],"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":[0.000021008782,0.00002540046,0.00022392074,0.000051145198,0.000077917604,0.0000084175035,0.00027888137,0.9921456,0.0011238912,0.0006402433,0.0018904901,0.0035130852],"study_design_scores_gemma":[0.00038961662,0.00009065386,0.00017041956,0.00009427979,0.000008993293,0.0000549779,0.00036059745,0.9930139,0.001400805,0.0036105022,0.00072090724,0.00008435139],"about_ca_topic_score_codex":0.000018208764,"about_ca_topic_score_gemma":0.0000033101037,"teacher_disagreement_score":0.92546964,"about_ca_system_score_codex":0.0001371585,"about_ca_system_score_gemma":0.00006132482,"threshold_uncertainty_score":0.30541417},"labels":[],"label_agreement":null},{"id":"W2001852229","doi":"10.1177/02783640122067471","title":"Analysis of Control Architectures for Teleoperation Systems with Impedance/Admittance Master and Slave Manipulators","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":360,"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; Queen's University","funders":"","keywords":"Teleoperation; Control theory (sociology); Robustness (evolution); Passivity; Admittance; Electrical impedance; Impedance control; Master/slave; Control engineering; Engineering; Robust control; Control system; Computer science; Robot; Control (management); Artificial intelligence","score_opus":0.053407266037211326,"score_gpt":0.32168758490022104,"score_spread":0.26828031886300974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001852229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82083756,0.00089212897,0.17673981,0.000647243,0.00032643758,0.0002821723,0.0000133279245,0.000008933584,0.0002523803],"genre_scores_gemma":[0.99897295,0.00009261943,0.0005054599,0.00002213979,0.00024521296,0.000008668594,0.0000018843506,0.000012821027,0.00013822176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998608,0.000070421185,0.000392398,0.000071718685,0.0007188913,0.00013856457],"domain_scores_gemma":[0.9983266,0.00038069507,0.00010435595,0.00011123931,0.0010246773,0.000052418607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009892003,0.00007868676,0.00023318753,0.00046377807,0.000052006453,0.0001244459,0.0002867613,0.000034381377,0.000010216299],"category_scores_gemma":[0.000079155274,0.00004768126,0.000066825465,0.0002567317,0.00006588233,0.000052206076,0.000014079816,0.00017808107,7.5221317e-7],"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":[0.00018153507,0.00001333786,0.014606974,0.000019099045,0.0013836699,0.000008184446,0.00045377505,0.9791535,0.0017150756,0.0015262079,0.00009219034,0.0008464203],"study_design_scores_gemma":[0.00092347706,0.00017904324,0.011796902,0.00008247772,0.00015507956,0.00017504214,0.0005745287,0.9851999,0.00031716278,0.000055927736,0.0004653073,0.00007511543],"about_ca_topic_score_codex":0.000022888193,"about_ca_topic_score_gemma":0.00010365906,"teacher_disagreement_score":0.17813541,"about_ca_system_score_codex":0.000065988825,"about_ca_system_score_gemma":0.000040959745,"threshold_uncertainty_score":0.19443853},"labels":[],"label_agreement":null},{"id":"W2004835121","doi":"10.1177/027836402761412467","title":"Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":779,"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":"Landmark; Computer vision; Artificial intelligence; Mobile robot; Computer science; Scale-invariant feature transform; Robot; Invariant (physics); Simultaneous localization and mapping; Mobile robot navigation; Feature extraction; Mathematics; Robot control","score_opus":0.05264129411819038,"score_gpt":0.31499753041595224,"score_spread":0.26235623629776184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004835121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08705556,0.00062678603,0.9108444,0.00045769193,0.00032836426,0.00016593351,0.0000029036974,0.00002094255,0.000497441],"genre_scores_gemma":[0.9930243,0.0006527146,0.005868922,0.000045790828,0.0003046079,0.0000016567914,0.0000043389164,0.000028138025,0.00006951995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826074,0.00010847354,0.000334109,0.000097404365,0.00097573496,0.00022356494],"domain_scores_gemma":[0.9986544,0.0001824824,0.00008417922,0.00010543586,0.0008810935,0.000092360766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081181887,0.00010771832,0.00014779983,0.00031102696,0.00014121082,0.00021038618,0.00031452544,0.00006018802,0.00004471341],"category_scores_gemma":[0.000064851505,0.00007320246,0.00003615373,0.00029120265,0.00012417739,0.00015592156,0.00004820133,0.00039173217,0.000004378287],"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":[0.0000335902,0.00003780345,0.0007762663,0.000016101456,0.000099992954,0.000040527684,0.0006139327,0.9941008,0.0019186676,0.0002442874,0.00028749421,0.0018305219],"study_design_scores_gemma":[0.00045072712,0.00013508867,0.000120031924,0.00014858841,0.000014296417,0.00024208485,0.0004989224,0.99726784,0.00045498766,0.00015925833,0.00041879513,0.000089360576],"about_ca_topic_score_codex":0.000032320182,"about_ca_topic_score_gemma":0.000020771566,"teacher_disagreement_score":0.9059688,"about_ca_system_score_codex":0.00019746587,"about_ca_system_score_gemma":0.000035845227,"threshold_uncertainty_score":0.29851094},"labels":[],"label_agreement":null},{"id":"W2005010226","doi":"10.1177/0278364907076819","title":"Manipulation of Convex Objects via Two-agent Point-contact Push","year":2007,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","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":"Simon Fraser University","funders":"","keywords":"Point (geometry); Controllability; Computer science; Object (grammar); Position (finance); Regular polygon; Orientation (vector space); Control theory (sociology); Robot; Computer vision; Artificial intelligence; Simulation; Control (management); Mathematics; Geometry","score_opus":0.07794239080211007,"score_gpt":0.37202223292923875,"score_spread":0.2940798421271287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005010226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31945777,0.0005047416,0.6631086,0.0016838441,0.0027006774,0.00026175808,8.7317864e-7,0.000044806755,0.012236948],"genre_scores_gemma":[0.9976069,0.000063740976,0.0016125656,0.000035789017,0.00046933963,4.786733e-7,0.0000031375707,0.000022272092,0.00018580604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976595,0.000097548975,0.0005791704,0.0000692467,0.0013617763,0.00023273712],"domain_scores_gemma":[0.9980385,0.0004870501,0.00017301849,0.0001409451,0.001075426,0.00008507037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003226671,0.00008860503,0.00015611452,0.0004880656,0.000061531595,0.0000657756,0.00058785244,0.000048458274,0.0001645473],"category_scores_gemma":[0.00023543175,0.00006883211,0.00009999017,0.00022656369,0.000050254104,0.00019213423,0.00007114853,0.00062978617,0.000036910267],"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":[0.00009414381,0.00003129283,0.0019732947,0.000013233094,0.00014968496,0.000047510242,0.0006838463,0.96526587,0.023581276,0.00346893,0.00046262948,0.0042282925],"study_design_scores_gemma":[0.0018172896,0.00025326887,0.050517265,0.00024497815,0.00003264609,0.00043071242,0.0012821886,0.9153795,0.024784306,0.0037826754,0.0012435737,0.00023154891],"about_ca_topic_score_codex":0.000036924866,"about_ca_topic_score_gemma":0.000037658807,"teacher_disagreement_score":0.6781491,"about_ca_system_score_codex":0.00024171357,"about_ca_system_score_gemma":0.0000496941,"threshold_uncertainty_score":0.2806892},"labels":[],"label_agreement":null},{"id":"W2005242627","doi":"10.1177/0278364904044400","title":"Synthesis of Reactionless Spatial 3-DoF and 6-DoF Mechanisms without Separate Counter-Rotations","year":2004,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Linkage (software); Inertia; Four-bar linkage; Planar; Mechanism (biology); Rotation (mathematics); Bar (unit); Computer science; Control theory (sociology); Tensor (intrinsic definition); Orientation (vector space); Motion (physics); Geometry; Mathematics; Classical mechanics; Physics; Artificial intelligence; Computer graphics (images); Control (management)","score_opus":0.035693895011008094,"score_gpt":0.3289312093863658,"score_spread":0.29323731437535766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005242627","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06661218,0.00008433103,0.9294613,0.0016270942,0.00079618057,0.00014283089,0.00001879334,0.000015372381,0.0012419362],"genre_scores_gemma":[0.9551961,0.000489885,0.04402068,0.000016315897,0.00015472085,0.0000038055844,0.0000018394833,0.000023839608,0.00009285796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981391,0.000062491796,0.0004384847,0.00008528936,0.0010909078,0.00018372983],"domain_scores_gemma":[0.99828583,0.00034377907,0.00014237482,0.00015259779,0.0009916543,0.00008379017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011940943,0.000101720114,0.00019892277,0.000285189,0.000089032204,0.00009070384,0.00051586214,0.00005878607,0.000026904088],"category_scores_gemma":[0.00018217076,0.000075814794,0.00006861629,0.00013694658,0.00010869683,0.00015461328,0.00006558991,0.00040952742,0.000007822827],"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":[0.00006500265,0.000052783605,0.00003555375,0.000020223513,0.0002041015,0.000022797862,0.00030668237,0.9171287,0.013799276,0.06680399,0.000051024344,0.0015098986],"study_design_scores_gemma":[0.0022313062,0.0004990822,0.0015724759,0.0008510928,0.00015533461,0.001146427,0.0018320372,0.7129127,0.06791644,0.21026464,0.00021552463,0.000402946],"about_ca_topic_score_codex":0.00016053523,"about_ca_topic_score_gemma":0.00016426602,"teacher_disagreement_score":0.8885839,"about_ca_system_score_codex":0.0001859677,"about_ca_system_score_gemma":0.00015581296,"threshold_uncertainty_score":0.30916378},"labels":[],"label_agreement":null},{"id":"W2006830626","doi":"10.1177/0278364908099464","title":"Scaling Inertia Properties of a Manipulator Payload for 0- <i>g</i> Emulation of Spacecraft","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Space Satellite Systems and Control","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":"Canadian Space Agency","funders":"","keywords":"Emulation; Payload (computing); Spacecraft; Inertia; Scaling; Aerospace engineering; Manipulator (device); Computer science; Control theory (sociology); Physics; Engineering; Classical mechanics; Robot; Mathematics; Artificial intelligence; Geometry; Psychology; Control (management)","score_opus":0.08441637420534581,"score_gpt":0.3336823522745225,"score_spread":0.24926597806917666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006830626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9368003,0.0042292424,0.05260276,0.004583088,0.0008341683,0.00047862076,0.000008351766,0.000016285549,0.00044718164],"genre_scores_gemma":[0.9984428,0.00013659017,0.0010205508,0.000012910979,0.00029233037,0.0000016993669,6.3047656e-7,0.000011041831,0.0000814393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852324,0.000044040404,0.0004612023,0.00004736447,0.00078268524,0.00014148568],"domain_scores_gemma":[0.9981459,0.00014868887,0.00014590473,0.00011040484,0.0014134354,0.000035707122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010936134,0.00006662101,0.00018468057,0.0002167391,0.000026519736,0.000034318648,0.00042063993,0.000040506293,0.000004423319],"category_scores_gemma":[0.00019934864,0.00004289994,0.00010945107,0.000115485025,0.00004315727,0.00010074115,0.000021428472,0.00018547024,0.0000011893267],"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":[0.0002592182,0.00004660477,0.00032141255,0.00006239714,0.00019500012,0.0000027706121,0.0007201411,0.5607822,0.4274545,0.0025852232,0.00029764726,0.0072729094],"study_design_scores_gemma":[0.002127443,0.0005358206,0.0032150876,0.001140857,0.000056102916,0.00007874834,0.0012803791,0.7157496,0.27004138,0.0037149903,0.0018688932,0.00019069422],"about_ca_topic_score_codex":0.000020173038,"about_ca_topic_score_gemma":0.0000068099685,"teacher_disagreement_score":0.15741311,"about_ca_system_score_codex":0.00006730539,"about_ca_system_score_gemma":0.0000515225,"threshold_uncertainty_score":0.17494088},"labels":[],"label_agreement":null},{"id":"W2007170601","doi":"10.1177/0278364906068942","title":"Force Analysis of Connected Differential Mechanisms: Application to Grasping","year":2006,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","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":"Polytechnique Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Underactuation; Differential (mechanical device); Actuator; Degrees of freedom (physics and chemistry); Computer science; Control theory (sociology); Control engineering; Object (grammar); Robotics; Key (lock); Mechanism (biology); Artificial intelligence; Robot; Engineering; Control (management); Physics","score_opus":0.036827070281828266,"score_gpt":0.3392567173918397,"score_spread":0.30242964711001147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007170601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09358531,0.000031399242,0.9049356,0.00069683447,0.0001928854,0.000077481636,7.669974e-7,0.000013443553,0.00046628484],"genre_scores_gemma":[0.99754685,0.00001268712,0.0020993596,0.00001528301,0.00017350065,0.0000023543041,0.000010491711,0.000012174236,0.00012730632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837136,0.00007121566,0.00040217148,0.00006461392,0.0009517599,0.00013889732],"domain_scores_gemma":[0.9985663,0.00024455794,0.00010840771,0.00012178864,0.0009156266,0.000043263302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069128623,0.00006238992,0.00015916867,0.000889886,0.000052823325,0.000064749824,0.0005450089,0.000034282948,0.00006560453],"category_scores_gemma":[0.00011350169,0.000048594942,0.0001119463,0.00060690736,0.000025593976,0.000067645684,0.000061047824,0.0002760849,0.000008543775],"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":[0.000023738505,0.000018060013,0.0003041507,0.00000371261,0.00038262838,0.0000020110474,0.00011601081,0.91414136,0.06680959,0.017460497,0.00018152654,0.00055675],"study_design_scores_gemma":[0.00018682385,0.000034790577,0.01432061,0.000023823868,0.00008269028,0.000006242622,0.00011593772,0.97614336,0.0060971775,0.002838276,0.00009432773,0.000055916353],"about_ca_topic_score_codex":0.000063195905,"about_ca_topic_score_gemma":0.00007122926,"teacher_disagreement_score":0.90396154,"about_ca_system_score_codex":0.00011590544,"about_ca_system_score_gemma":0.000022170687,"threshold_uncertainty_score":0.19816442},"labels":[],"label_agreement":null},{"id":"W2010607480","doi":"10.1177/0278364909340212","title":"Nanonewton Force Sensing and Control in Microrobotic Cell Manipulation","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Microelectromechanical systems; Stiffness; Contact force; Computer science; Load cell; Haptic technology; Process (computing); Biomedical engineering; Nanotechnology; Artificial intelligence; Materials science; Engineering; Physics; Electrical engineering","score_opus":0.0920998390744798,"score_gpt":0.3659580357023863,"score_spread":0.27385819662790645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010607480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728151,0.0000749432,0.0127999205,0.013325086,0.0004646546,0.0001407237,6.9971804e-7,0.000006917881,0.0003719751],"genre_scores_gemma":[0.9986506,0.00018235619,0.00026730174,0.0005794106,0.00010819569,1.3524844e-7,6.957716e-8,0.0000059187214,0.00020600151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99843097,0.00013681068,0.00026128467,0.00012230389,0.00083050877,0.00021814766],"domain_scores_gemma":[0.99903476,0.0005722955,0.00009042427,0.000084088766,0.00016372405,0.000054715445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091631804,0.00006582502,0.000097817334,0.00033014666,0.000084527506,0.0001387678,0.00046728732,0.000024927045,0.0000025130537],"category_scores_gemma":[0.00042665895,0.00004681474,0.000033227745,0.00022739518,0.00008299754,0.00023879798,0.000052004012,0.0004456051,0.000003892811],"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":[0.00005996366,0.000024690158,0.00012108259,0.0000018965994,9.2996953e-7,0.00015190287,0.00008932653,0.0600104,0.93759394,0.00052582414,0.00002683452,0.0013932029],"study_design_scores_gemma":[0.001060927,0.00027879226,0.004799903,0.000089009845,0.0000043891755,0.0008998947,0.0000641756,0.2391731,0.74978226,0.0036420908,0.00010769872,0.000097749486],"about_ca_topic_score_codex":0.0000080801965,"about_ca_topic_score_gemma":0.0000031455882,"teacher_disagreement_score":0.18781167,"about_ca_system_score_codex":0.00007687144,"about_ca_system_score_gemma":0.000043351898,"threshold_uncertainty_score":0.19359572},"labels":[],"label_agreement":null},{"id":"W2010780110","doi":"10.1177/0278364910369861","title":"Planning under Uncertainty for Robotic Tasks with Mixed Observability","year":2010,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":238,"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":"Partially observable Markov decision process; Observability; Observable; Representation (politics); Computer science; Robot; State space; Motion planning; State (computer science); Markov decision process; Point (geometry); Artificial intelligence; Mathematical optimization; Robotics; Markov process; Markov chain; Algorithm; Mathematics; Machine learning; Markov model","score_opus":0.17208982174304688,"score_gpt":0.4145882820447523,"score_spread":0.2424984603017054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010780110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07267913,0.000037487123,0.9083067,0.017722473,0.0010065186,0.000111487236,0.0000011720714,0.000012624547,0.00012241137],"genre_scores_gemma":[0.9124519,0.0000068540903,0.08690155,0.00017065881,0.00031992947,0.000004585445,0.0000011284851,0.000008277759,0.00013507363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977275,0.00013627719,0.000327818,0.00017742613,0.0013305729,0.0003003904],"domain_scores_gemma":[0.9951592,0.0013159642,0.00016868155,0.00037046138,0.0028650295,0.0001206589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035723408,0.00009663897,0.00014851593,0.00015890467,0.00019156546,0.0004247456,0.003007597,0.000060837992,0.000009220845],"category_scores_gemma":[0.0005022049,0.00005715425,0.0000804369,0.0002204042,0.00020127442,0.00029218136,0.00027061923,0.0010373382,0.0000051384336],"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":[0.00010785115,0.00007336304,0.00039107024,0.0000052276873,0.000081950166,0.000016959215,0.00026954387,0.90870947,0.0024452293,0.08370835,0.0008122837,0.0033786925],"study_design_scores_gemma":[0.0005797073,0.00033554336,0.0019577893,0.00008294148,0.000010050447,0.00023954935,0.00017413899,0.89497954,0.000955423,0.10020754,0.00035925783,0.00011853273],"about_ca_topic_score_codex":0.000033989025,"about_ca_topic_score_gemma":0.000047506575,"teacher_disagreement_score":0.8397728,"about_ca_system_score_codex":0.00009053141,"about_ca_system_score_gemma":0.0005459995,"threshold_uncertainty_score":0.55889136},"labels":[],"label_agreement":null},{"id":"W2011900614","doi":"10.1177/0278364906072037","title":"Synchronous Tracking Control of Parallel Manipulators Using Cross-coupling Approach","year":2006,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":97,"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":"City University of Hong Kong","keywords":"Control theory (sociology); Synchronization (alternating current); Feed forward; Computer science; Tracking error; Controller (irrigation); Trajectory; Position (finance); Control engineering; Tracking (education); Actuator; Control (management); Engineering; Artificial intelligence; Channel (broadcasting)","score_opus":0.06096506701804409,"score_gpt":0.35602892830076677,"score_spread":0.29506386128272266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011900614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47480416,0.0010543853,0.5225146,0.00010106498,0.0005781168,0.00014991216,0.0000032617324,0.000016034435,0.00077849504],"genre_scores_gemma":[0.99540055,0.000013620215,0.0035462333,0.0000053165804,0.0009256804,0.000001730957,0.0000015534397,0.000034392106,0.00007089765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974558,0.00010577312,0.00069892895,0.00009199521,0.0013572111,0.0002903443],"domain_scores_gemma":[0.99759823,0.0004498874,0.00023526461,0.00014925348,0.0015243241,0.000043057087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025071774,0.00011888029,0.00026724345,0.00035530326,0.00010470911,0.0002468044,0.0008212702,0.00006894455,0.000013165462],"category_scores_gemma":[0.00016724423,0.00008918605,0.0001373157,0.00017451184,0.00014310131,0.00021643055,0.00004996824,0.0007209791,0.0000042853467],"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":[0.000066361135,0.000038850554,0.008604515,0.000027438668,0.00022239142,0.000028232247,0.00014826495,0.96557117,0.022773787,0.0023171154,0.00005443338,0.00014745114],"study_design_scores_gemma":[0.0009434803,0.000041181018,0.004076382,0.00011975377,0.000015818167,0.00018954895,0.00010457883,0.9931161,0.0008120093,0.00042807637,0.00007141848,0.00008165323],"about_ca_topic_score_codex":0.000084958076,"about_ca_topic_score_gemma":0.0000037070881,"teacher_disagreement_score":0.52059644,"about_ca_system_score_codex":0.00035087502,"about_ca_system_score_gemma":0.00008282043,"threshold_uncertainty_score":0.36369017},"labels":[],"label_agreement":null},{"id":"W2013627373","doi":"10.1177/0278364915571429","title":"Multi-camera parallel tracking and mapping with non-overlapping fields of view","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","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":"McGill University; University of Waterloo","funders":"","keywords":"Computer vision; Artificial intelligence; Initialization; Computer science; Pose; Tracking (education); Multirotor; Perspective (graphical); Ground truth; Field of view; Feature (linguistics); Position (finance); Engineering","score_opus":0.11899068148280981,"score_gpt":0.34347869600079944,"score_spread":0.22448801451798964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013627373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1470219,0.00071547943,0.84992653,0.001507147,0.00030825226,0.000107864056,0.0000013012233,0.000008342093,0.00040316427],"genre_scores_gemma":[0.97589207,0.00054078945,0.023330871,0.00003360275,0.00014022083,7.5158385e-7,0.000001236787,0.000015280733,0.000045150413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859756,0.00005426363,0.00031826014,0.000061365,0.0008201109,0.0001484467],"domain_scores_gemma":[0.99836206,0.00022631696,0.000091629336,0.000098414464,0.0011400505,0.00008153391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010862974,0.00007502214,0.00015381504,0.00021346944,0.00003897601,0.000084992964,0.00035003954,0.000042779488,0.0000048359534],"category_scores_gemma":[0.00016567789,0.00005082221,0.000033786146,0.00016188562,0.00008166537,0.00013130474,0.00005332155,0.0003790178,0.0000018172166],"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":[0.000041607003,0.000025225034,0.0008088317,0.00002957734,0.00013032103,0.000027262033,0.0010863837,0.9923214,0.0020321691,0.0004680689,0.00025395618,0.0027752076],"study_design_scores_gemma":[0.0010832284,0.00014146425,0.0016574331,0.00042640255,0.000013885839,0.00013567078,0.0012856079,0.99331456,0.0010206123,0.0004536639,0.00037319385,0.00009425061],"about_ca_topic_score_codex":0.000027271348,"about_ca_topic_score_gemma":0.000017194534,"teacher_disagreement_score":0.8288702,"about_ca_system_score_codex":0.000076026045,"about_ca_system_score_gemma":0.00008112161,"threshold_uncertainty_score":0.20724697},"labels":[],"label_agreement":null},{"id":"W2013905571","doi":"10.1177/02783649020210090501","title":"Kinematics and Singularity Analysis of a Novel Type of 3-CRR 3-DOF Translational Parallel Manipulator","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":196,"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":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Jacobian matrix and determinant; Singularity; Kinematics; Control theory (sociology); Workspace; Inverse kinematics; Mathematics; Isotropy; Forward kinematics; Parallel manipulator; Inverse; Rotation (mathematics); Matrix (chemical analysis); Topology (electrical circuits); Mathematical analysis; Computer science; Applied mathematics; Geometry; Classical mechanics; Physics; Robot; Artificial intelligence","score_opus":0.16456800401232602,"score_gpt":0.36352690532298554,"score_spread":0.19895890131065952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013905571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14684302,0.00060103764,0.85036004,0.0010875845,0.0003296605,0.00010604393,0.000024679362,0.0000068794507,0.00064103527],"genre_scores_gemma":[0.85274714,0.0003473101,0.14674865,0.000009217297,0.00006471996,3.442409e-7,0.000003731272,0.000011682448,0.00006720547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813175,0.00003800556,0.0005362266,0.00006060387,0.0011070991,0.00012633704],"domain_scores_gemma":[0.9982459,0.0003620997,0.00014523204,0.00013745337,0.0010519448,0.000057374615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091739296,0.00007613509,0.0002621783,0.0004902717,0.000030004108,0.0000310557,0.0004359914,0.000053765347,0.00010661595],"category_scores_gemma":[0.00016847915,0.000056922847,0.00011553668,0.0004639122,0.000099051394,0.00007353507,0.000050071616,0.0002870462,9.1368935e-7],"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":[0.000028154045,0.0001274172,0.0004374755,0.000029196972,0.0010587524,0.000005140033,0.0003486627,0.95379096,0.003175922,0.040593326,0.00006951413,0.00033547776],"study_design_scores_gemma":[0.00035868853,0.000071698996,0.002094723,0.000046601464,0.00015487224,0.000030119296,0.000074433585,0.9936609,0.00012026261,0.003323951,0.000014234524,0.00004948463],"about_ca_topic_score_codex":0.0000137527695,"about_ca_topic_score_gemma":0.000014770908,"teacher_disagreement_score":0.7059041,"about_ca_system_score_codex":0.000037357164,"about_ca_system_score_gemma":0.000027316331,"threshold_uncertainty_score":0.23212463},"labels":[],"label_agreement":null},{"id":"W2015407571","doi":"10.1177/0278364902021010095","title":"Experimental Verification of Open-loop Control for an Underwater Eel-like Robot","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Underwater Vehicles and Communication Systems","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":"Western University","funders":"Multidisciplinary University Research Initiative; Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Underwater; Robot; Modularity (biology); Reliability (semiconductor); Loop (graph theory); Position (finance); Computer science; Open-loop controller; Line (geometry); Control theory (sociology); Simulation; Control engineering; Artificial intelligence; Engineering; Control (management); Closed loop; Physics; Mathematics; Geology","score_opus":0.21117494236635342,"score_gpt":0.3978830179422054,"score_spread":0.18670807557585195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015407571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24249615,0.0033262342,0.7378935,0.009546192,0.0013870243,0.0015354921,0.000045052497,0.000051442414,0.0037188625],"genre_scores_gemma":[0.99561036,0.00013224602,0.0036156147,0.00004689944,0.00016679555,0.00001736595,0.0000043514374,0.000021662952,0.00038469673],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984748,0.00015156194,0.0004674364,0.00007306363,0.0006730708,0.00016008112],"domain_scores_gemma":[0.9984915,0.00022660643,0.0001224097,0.00027859956,0.0008165941,0.00006426888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013007608,0.000075726326,0.00015657229,0.00016014748,0.00008602629,0.0002322105,0.002119596,0.000042248426,0.00006742066],"category_scores_gemma":[0.000011804608,0.0000545722,0.0000689882,0.00009158761,0.00008163312,0.00032985664,0.000121871526,0.00023219716,0.000011393393],"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":[0.00026426956,0.00048358346,0.00014120046,0.00002363666,0.00047935455,0.0000035236064,0.0022994196,0.2772781,0.7057664,0.0033552411,0.0041145287,0.005790757],"study_design_scores_gemma":[0.004402038,0.0008676141,0.00029442806,0.00015485399,0.000030920077,0.00014890861,0.003227203,0.6387029,0.32967335,0.002220935,0.020034244,0.0002425943],"about_ca_topic_score_codex":0.000029920167,"about_ca_topic_score_gemma":0.000008098218,"teacher_disagreement_score":0.7531142,"about_ca_system_score_codex":0.00014096669,"about_ca_system_score_gemma":0.000024204634,"threshold_uncertainty_score":0.39387724},"labels":[],"label_agreement":null},{"id":"W2015780685","doi":"10.1177/027836402322023231","title":"Singularity Loci of a Special Class of Spherical Three-degree-of-freedom Parallel Mechanisms with Revolute Actuators","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":49,"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","funders":"","keywords":"Singularity; Gravitational singularity; Revolute joint; Cartesian coordinate system; Kinematics; Parallel manipulator; Mathematics; Screw theory; Degree (music); Control theory (sociology); Mathematical analysis; Computer science; Geometry; Classical mechanics; Artificial intelligence; Constraint (computer-aided design); Physics; Control (management)","score_opus":0.0688153427471521,"score_gpt":0.29331670787164116,"score_spread":0.22450136512448904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015780685","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055705896,0.0001448951,0.9915275,0.0005991091,0.00046881495,0.00012746213,0.000010494236,0.0000072175185,0.0015439393],"genre_scores_gemma":[0.24280417,0.00030120334,0.7561527,0.00000788959,0.0005604751,0.0000012346526,0.0000018745665,0.000037292393,0.00013313978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967843,0.000084563115,0.00070922944,0.000101759986,0.0020627046,0.0002573935],"domain_scores_gemma":[0.9975353,0.00040906164,0.00031299063,0.0002789916,0.0013611489,0.000102507125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011700556,0.00013717137,0.0003871643,0.00022262747,0.000040212046,0.00002893514,0.0011521492,0.00009923062,0.0002496634],"category_scores_gemma":[0.00029376734,0.00009364247,0.0001587635,0.00030050264,0.0002677885,0.000110487854,0.00015816819,0.00064994534,0.000004604354],"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":[0.00023937642,0.0001826009,0.00015807786,0.000045179233,0.0004373303,0.000055790126,0.00032359856,0.7834954,0.0013860546,0.209687,0.0008734596,0.003116127],"study_design_scores_gemma":[0.00148403,0.000927299,0.0004999324,0.00038091105,0.00007315704,0.00021760147,0.00036381945,0.87859756,0.00091754785,0.116241165,0.000106131774,0.00019083988],"about_ca_topic_score_codex":0.000046935816,"about_ca_topic_score_gemma":0.00008969171,"teacher_disagreement_score":0.23723358,"about_ca_system_score_codex":0.00015129142,"about_ca_system_score_gemma":0.00009155543,"threshold_uncertainty_score":0.3818629},"labels":[],"label_agreement":null},{"id":"W2018099115","doi":"10.1177/0278364906068393","title":"Smith Predictor Type Control Architectures for Time Delayed Teleoperation","year":2006,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Smith predictor; Model predictive control; Control theory (sociology); Controller (irrigation); Artificial neural network; Haptic technology; Nonlinear system; Stability (learning theory); Computer science; Control engineering; Engineering; Control (management); Simulation; PID controller; Artificial intelligence; Machine learning","score_opus":0.02461945157399061,"score_gpt":0.3060376033847289,"score_spread":0.2814181518107383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018099115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67505926,0.0023076383,0.3008471,0.010069807,0.004220486,0.001232485,0.00009334458,0.0001299987,0.0060398374],"genre_scores_gemma":[0.9957586,0.000018815745,0.0014493568,0.000040973464,0.0016352294,0.000006307361,0.0000060441353,0.00001933531,0.0010653693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859196,0.000074578275,0.00035540527,0.00005805839,0.0007547096,0.00016526363],"domain_scores_gemma":[0.9980114,0.0004267643,0.00005436015,0.000095182935,0.0013688866,0.000043404747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010703962,0.000073720315,0.00012084187,0.00019710665,0.00008050194,0.00016041346,0.00045537716,0.0000440403,0.000057712718],"category_scores_gemma":[0.00019235352,0.00004841319,0.000063440246,0.000098782286,0.000047176156,0.00004347501,0.000016776285,0.00025472976,0.000034924287],"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":[0.00018513213,0.000027746164,0.00017987366,0.000007542124,0.00018190661,0.000006472616,0.00012988602,0.96096414,0.013561655,0.002068891,0.02178752,0.00089923904],"study_design_scores_gemma":[0.0017305027,0.00033402228,0.0016673631,0.00006124656,0.000025336318,0.00019163228,0.00006939122,0.97735906,0.0030796723,0.0019445936,0.0134182125,0.000118969816],"about_ca_topic_score_codex":0.000017689774,"about_ca_topic_score_gemma":0.000020761598,"teacher_disagreement_score":0.32069927,"about_ca_system_score_codex":0.0001147323,"about_ca_system_score_gemma":0.000108822904,"threshold_uncertainty_score":0.19742325},"labels":[],"label_agreement":null},{"id":"W2025527739","doi":"10.1177/0278364907082049","title":"Stability and Performance Analysis of Centralized and Distributed Multi-rate Control Architectures for Multi-user Haptic Interaction","year":2007,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","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":"McMaster University; Quanser (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Computer science; Fidelity; Network packet; Controller (irrigation); Network simulation; Teleoperation; Network interface controller; Ethernet; Computer network; Simulation; Control (management); Artificial intelligence","score_opus":0.08518988336566578,"score_gpt":0.37370973440951666,"score_spread":0.28851985104385086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025527739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66483927,0.00013309845,0.33449826,0.00020237324,0.00015830735,0.0001301003,0.000027392452,0.000004854225,0.0000063766943],"genre_scores_gemma":[0.99721277,0.00008891648,0.0025882719,0.000011361859,0.000062042134,0.000002239028,0.0000049841797,0.0000073265555,0.000022081798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989116,0.00008359301,0.00042923095,0.000068606525,0.00035722033,0.00014972022],"domain_scores_gemma":[0.9981719,0.0007519228,0.000100045916,0.00008082444,0.00082809344,0.000067203335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024740754,0.00006950346,0.00019775693,0.00032546787,0.00005560608,0.00006705109,0.00018862868,0.0000345382,0.000013800318],"category_scores_gemma":[0.00035344748,0.000047542642,0.00006737605,0.0001635035,0.00009682244,0.000056182227,0.0000247662,0.0002282731,3.1754584e-7],"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":[0.001344434,0.00014863351,0.06754301,0.00010619383,0.0034178204,0.0000064258343,0.0022755493,0.87763536,0.04212444,0.0008284488,0.00004874068,0.004520975],"study_design_scores_gemma":[0.0013018386,0.00006673713,0.114201225,0.000032323118,0.00009441884,0.000016682252,0.00043267533,0.8808248,0.0028748221,0.00001125764,0.000099019395,0.000044208362],"about_ca_topic_score_codex":0.000026261745,"about_ca_topic_score_gemma":0.00017954978,"teacher_disagreement_score":0.33237353,"about_ca_system_score_codex":0.00009387075,"about_ca_system_score_gemma":0.000022116308,"threshold_uncertainty_score":0.19387327},"labels":[],"label_agreement":null},{"id":"W2029234750","doi":"10.1177/0278364905056347","title":"Optimization-based Robot Compliance Control: Geometric and Linear Quadratic Approaches","year":2005,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","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":"Queen's University","funders":"","keywords":"Control theory (sociology); Impedance control; Controller (irrigation); Electrical impedance; Position (finance); Trajectory; Optimal control; Stiffness; Optimization problem; Engineering; Transient (computer programming); Metric (unit); Control engineering; Computer science; Control (management); Mathematics; Mathematical optimization","score_opus":0.21859925237625785,"score_gpt":0.3607927561600423,"score_spread":0.14219350378378445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029234750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016625543,0.00090093596,0.9892016,0.0070431884,0.0002199646,0.00010154692,6.884796e-7,0.00002240417,0.00084711576],"genre_scores_gemma":[0.9652177,0.0001579974,0.03392057,0.0001045332,0.00045722807,0.0000020476089,0.0000027234034,0.000020321362,0.00011688153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839336,0.000117720294,0.00035181,0.00007662328,0.000877963,0.00018252846],"domain_scores_gemma":[0.998429,0.0006838805,0.000091167385,0.000111013906,0.0006034756,0.000081457205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013380741,0.0000874231,0.00014131078,0.0004985499,0.00010722741,0.00015580645,0.0004968742,0.000043009426,0.00006994663],"category_scores_gemma":[0.00036658946,0.00006555213,0.0000507028,0.00034490047,0.00008989569,0.00016943632,0.000035066914,0.0005627567,0.000021344315],"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":[0.000029453104,0.000026562724,0.0005450061,0.000010826842,0.00007478252,0.0000051175098,0.000083160994,0.99460226,0.000059518527,0.00040907614,0.00026414325,0.0038900624],"study_design_scores_gemma":[0.0006299846,0.000036543344,0.0009774097,0.00004654662,0.000008777879,0.000026407984,0.00006770367,0.9973908,0.00011667477,0.00004564159,0.0005887718,0.000064726155],"about_ca_topic_score_codex":0.000004004604,"about_ca_topic_score_gemma":0.0000045213433,"teacher_disagreement_score":0.96355516,"about_ca_system_score_codex":0.00012703029,"about_ca_system_score_gemma":0.000058794387,"threshold_uncertainty_score":0.26731384},"labels":[],"label_agreement":null},{"id":"W2031352735","doi":"10.1177/0278364909336807","title":"Bounding with Active Wheels and Liftoff Angle Velocity Adjustment","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","field":"Engineering","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":"Defence Research and Development Canada; McGill University; Toronto Metropolitan University","funders":"Defence Research and Development Canada","keywords":"Bounding overwatch; Robot; Control theory (sociology); Engineering; Computer science; Simulation; Artificial intelligence","score_opus":0.03534952924333674,"score_gpt":0.31925991191565195,"score_spread":0.2839103826723152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031352735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62034273,0.0035342705,0.26691014,0.08548296,0.0026942322,0.0008904967,0.000014044038,0.00012336997,0.020007757],"genre_scores_gemma":[0.996992,0.00033373086,0.002006931,0.00015684417,0.00031458915,0.0000011841139,6.798776e-7,0.000009069622,0.00018496034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986499,0.0000645044,0.00018785962,0.000060925435,0.0008573648,0.00017943115],"domain_scores_gemma":[0.9990525,0.00017458221,0.00005085343,0.00008798913,0.00054729945,0.000086752436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070539495,0.00007397843,0.00011370525,0.00017221001,0.00007814976,0.00012960698,0.00038841605,0.000029407256,0.000031247288],"category_scores_gemma":[0.000071014954,0.000046254638,0.00003458029,0.00011568685,0.00007467028,0.00016491581,0.0000338164,0.00045327606,0.000007114004],"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":[0.0005047963,0.00020388103,0.00026287968,0.000012471457,0.00074068236,0.00016866445,0.0023070588,0.760032,0.006319727,0.017594084,0.0057628136,0.20609093],"study_design_scores_gemma":[0.012818181,0.003930238,0.1390776,0.0012662694,0.00020772245,0.0035083978,0.0056021917,0.7492537,0.021313872,0.044271648,0.01768117,0.0010689974],"about_ca_topic_score_codex":0.00000470554,"about_ca_topic_score_gemma":0.0000064994947,"teacher_disagreement_score":0.3766493,"about_ca_system_score_codex":0.00022601422,"about_ca_system_score_gemma":0.00006959722,"threshold_uncertainty_score":0.19692841},"labels":[],"label_agreement":null},{"id":"W2032162415","doi":"10.1177/0278364909359316","title":"Laser Scanner-based End-effector Tracking and Joint Variable Extraction for Heavy Machinery","year":2010,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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 Waterloo; University of British Columbia","funders":"","keywords":"Computer science; Computer vision; Initialization; Artificial intelligence; Shovel; Laser scanning; Workspace; Reliability (semiconductor); Scanner; Particle filter; Tracking (education); Filter (signal processing); Engineering; Laser; Power (physics); Robot","score_opus":0.09316336880390574,"score_gpt":0.3551385522086905,"score_spread":0.26197518340478476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032162415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829284,0.00022479155,0.0080154305,0.005401407,0.0021458773,0.00018942344,0.000073967414,0.00001003513,0.0010106424],"genre_scores_gemma":[0.99073046,0.000026207754,0.008155766,0.00009562028,0.0006420994,7.587415e-7,0.00002051999,0.000003975245,0.00032459362],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986085,0.00016103672,0.00022594444,0.00009169666,0.00071965245,0.00019316866],"domain_scores_gemma":[0.9978461,0.0012140003,0.00010758162,0.00007817894,0.0006590466,0.00009505271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040355064,0.00006721829,0.00010504716,0.00012349979,0.00021857928,0.0002564207,0.00031668143,0.000047823756,0.00042667208],"category_scores_gemma":[0.00057559105,0.00003945324,0.000059928094,0.000093979885,0.00010251485,0.00020851559,0.000013529307,0.0006347345,0.000012539558],"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":[0.0021528555,0.00030416873,0.13521329,0.00009986785,0.00039394168,0.00014822012,0.00056347804,0.2921437,0.103177756,0.0015399163,0.010214964,0.45404786],"study_design_scores_gemma":[0.002669593,0.0012540149,0.35198635,0.00027993254,0.000051885,0.0009981721,0.0004639867,0.5939292,0.02091148,0.0082055675,0.018838005,0.00041183553],"about_ca_topic_score_codex":0.0004242431,"about_ca_topic_score_gemma":0.0008636284,"teacher_disagreement_score":0.45363602,"about_ca_system_score_codex":0.0000111193785,"about_ca_system_score_gemma":0.00012324902,"threshold_uncertainty_score":0.467176},"labels":[],"label_agreement":null},{"id":"W2032277247","doi":"10.1177/0278364911426178","title":"Incremental learning of full body motion primitives and their sequencing through human motion observation","year":2011,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":223,"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":"IRT Foundation","keywords":"Motion (physics); Artificial intelligence; Computer vision; Computer science; Motion capture; Humanoid robot; Motion field; Motion estimation; Graph; Structure from motion; Hidden Markov model; Robot; Theoretical computer science","score_opus":0.24756468912763976,"score_gpt":0.3767040064118809,"score_spread":0.12913931728424113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032277247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61631787,0.00004125093,0.3818052,0.00051436,0.00017405937,0.00007277081,8.372004e-7,0.000009058714,0.0010645516],"genre_scores_gemma":[0.9916205,0.00011347413,0.008028783,0.000033296274,0.00014688344,0.000001293542,0.0000032211444,0.00000581262,0.000046763053],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983695,0.0002925415,0.00036525575,0.00011203132,0.0007298404,0.00013079023],"domain_scores_gemma":[0.99806285,0.00016597712,0.00033845447,0.00010285356,0.0012953745,0.000034494762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018518742,0.00007130026,0.00010393837,0.00023883351,0.00020724264,0.00011617363,0.00063113356,0.000037904556,0.000024942177],"category_scores_gemma":[0.00015490134,0.00005048536,0.000055324956,0.00015974576,0.00011533725,0.001001483,0.000209137,0.00042739778,0.0000037521745],"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":[0.00016344152,0.000371033,0.0061104805,0.000043096567,0.000365097,0.000032698194,0.027920322,0.0044382536,0.74095434,0.16697924,0.00016182031,0.052460175],"study_design_scores_gemma":[0.0020989936,0.0020622595,0.08812334,0.00070006546,0.00003743002,0.0008548791,0.01076167,0.11389032,0.5416909,0.23923557,0.00017120386,0.00037341545],"about_ca_topic_score_codex":0.000073335956,"about_ca_topic_score_gemma":0.0000074537916,"teacher_disagreement_score":0.37530258,"about_ca_system_score_codex":0.00014755859,"about_ca_system_score_gemma":0.000062676925,"threshold_uncertainty_score":0.20587331},"labels":[],"label_agreement":null},{"id":"W2032535106","doi":"10.1177/0278364904041563","title":"A Gain-Switching Control Scheme for Position-Error-Based Bilateral Teleoperation: Contact Stability Analysis and Controller Design","year":2004,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"University of Waterloo","funders":"","keywords":"Teleoperation; Control theory (sociology); Transparency (behavior); Controller (irrigation); Position (finance); Torque; Robot; Stability (learning theory); Computer science; Telerobotics; Control engineering; Engineering; Simulation; Control (management); Mobile robot; Artificial intelligence","score_opus":0.08141390458081729,"score_gpt":0.3464615863466937,"score_spread":0.26504768176587645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032535106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1151652,0.00016930142,0.8790731,0.004869767,0.00023216872,0.0004079935,0.000013286271,0.000018011766,0.00005117048],"genre_scores_gemma":[0.98827136,0.000017214685,0.011197987,0.0001709995,0.00029023062,0.000020077357,0.0000046332393,0.000015314838,0.000012175563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817806,0.000175816,0.0005312111,0.00011297713,0.00079058454,0.00021134055],"domain_scores_gemma":[0.9972344,0.0008904425,0.000092855196,0.00012145546,0.0015590999,0.00010177146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002845243,0.0001146841,0.00027881374,0.00039343268,0.00016514915,0.000346178,0.00034743332,0.000058904727,0.00003438756],"category_scores_gemma":[0.0002950311,0.00007925761,0.00015350143,0.0002277411,0.000049974307,0.0001899875,0.000016367074,0.00032671727,0.000003709644],"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":[0.00037700744,0.00005378711,0.0009928113,0.000011730112,0.0010955809,0.000011060196,0.0004027664,0.9546814,0.038537905,0.0034959659,0.00007093954,0.00026907568],"study_design_scores_gemma":[0.0046645957,0.00023883377,0.0018912306,0.000054642947,0.00011259144,0.000052500534,0.00025979194,0.98630255,0.0054384694,0.0008007232,0.00007001946,0.000114072565],"about_ca_topic_score_codex":0.00003815779,"about_ca_topic_score_gemma":0.00005286542,"teacher_disagreement_score":0.8731062,"about_ca_system_score_codex":0.0003075448,"about_ca_system_score_gemma":0.00018805996,"threshold_uncertainty_score":0.33382025},"labels":[],"label_agreement":null},{"id":"W2032621741","doi":"10.1177/0278364907080254","title":"Contact Detection in Microrobotic Manipulation","year":2007,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Image Processing Techniques and Applications","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 Toronto","funders":"","keywords":"Computer vision; Magnification; Artificial intelligence; Robustness (evolution); Computer science; Optics; Microscope; Materials science; Physics; Chemistry","score_opus":0.06740412755425017,"score_gpt":0.38458919786928863,"score_spread":0.31718507031503845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032621741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13841288,0.00022281498,0.8580399,0.0012577099,0.00037247068,0.00011860449,5.589726e-7,0.000032278214,0.001542755],"genre_scores_gemma":[0.9933339,0.00010095045,0.006291822,0.000018331253,0.00019921492,0.0000016018079,7.61914e-7,0.000011528944,0.000041903204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989951,0.000023933391,0.00029787497,0.000043899196,0.00048688825,0.00015226626],"domain_scores_gemma":[0.9991432,0.00018631038,0.000052138734,0.000081692015,0.00050756824,0.000029129369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020771194,0.000047234316,0.000063764855,0.00035524266,0.000045415356,0.000070670045,0.00044625538,0.00003800176,0.000009062941],"category_scores_gemma":[0.00008433988,0.000036475045,0.000032832966,0.00023833214,0.000031536543,0.00012227926,0.000036549347,0.00047061988,0.000009311937],"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":[0.00015233862,0.00013169173,0.0018943074,0.000031637366,0.0000951049,0.00010903269,0.0006611902,0.3611204,0.5136461,0.00577561,0.0010278587,0.11535469],"study_design_scores_gemma":[0.0012862918,0.00020908249,0.06377328,0.00039333676,0.000021608566,0.0008615678,0.0007282485,0.33596748,0.56151277,0.029794106,0.005129713,0.00032251273],"about_ca_topic_score_codex":0.000021340322,"about_ca_topic_score_gemma":0.0000723409,"teacher_disagreement_score":0.854921,"about_ca_system_score_codex":0.00027899802,"about_ca_system_score_gemma":0.000025896048,"threshold_uncertainty_score":0.20446354},"labels":[],"label_agreement":null},{"id":"W2036478283","doi":"10.1177/02783640122068227","title":"Design of a Hollow Hexaform Torque Sensor for Robot Joints","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","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":"McGill University; Canadian Space Agency","funders":"","keywords":"Torque; Sensitivity (control systems); Stiffness; Damping torque; Robot; Work (physics); Engineering; Finite element method; Computer science; Control theory (sociology); Control engineering; Direct torque control; Mechanical engineering; Artificial intelligence; Electronic engineering; Structural engineering; Physics; Electrical engineering; Control (management)","score_opus":0.19442169364272424,"score_gpt":0.38789798147703897,"score_spread":0.19347628783431473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036478283","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014116616,0.00019495543,0.9815385,0.002266688,0.00070703775,0.00022050398,8.7439935e-7,0.000016878772,0.00093799055],"genre_scores_gemma":[0.97489995,0.00030645044,0.02337281,0.00003406725,0.0004497608,0.0000037456714,0.000001833035,0.000027464235,0.00090392254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830127,0.0000977174,0.00042260476,0.00006154252,0.000905417,0.00021144241],"domain_scores_gemma":[0.9977467,0.00072086835,0.00011658178,0.00012278806,0.0012288223,0.00006423726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020189339,0.00008002759,0.00015745935,0.0003239867,0.00006701726,0.000073188145,0.00060851994,0.000049703067,0.00008747154],"category_scores_gemma":[0.00045021242,0.000058754562,0.00010007952,0.00018046476,0.000059206275,0.00014105461,0.000048379457,0.00041579752,0.000014633352],"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":[0.00015403602,0.000026784432,0.00021330385,0.000010971202,0.00014092348,0.000019073186,0.00032793387,0.9817291,0.013288138,0.0006958272,0.0015134331,0.0018805088],"study_design_scores_gemma":[0.00091954856,0.00021395073,0.0010883091,0.00012722822,0.000015474481,0.00027378084,0.00037840934,0.98741084,0.005185074,0.0015459389,0.0027360516,0.000105417734],"about_ca_topic_score_codex":0.000007706013,"about_ca_topic_score_gemma":0.0000034955826,"teacher_disagreement_score":0.9607833,"about_ca_system_score_codex":0.00014634398,"about_ca_system_score_gemma":0.00007647622,"threshold_uncertainty_score":0.23959415},"labels":[],"label_agreement":null},{"id":"W2039893232","doi":"10.1177/02783640022068020","title":"Transparent Bilateral Teleoperation under Position and Rate Control","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"Teleoperation; Control theory (sociology); Transparency (behavior); Kinematics; Position (finance); Control engineering; Stability (learning theory); Master/slave; Computer science; Control (management); Engineering; Simulation; Artificial intelligence; Economics; Physics","score_opus":0.05687547198056805,"score_gpt":0.3326386337050695,"score_spread":0.2757631617245015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039893232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9250837,0.00087834673,0.050653476,0.018279348,0.0010793589,0.0002832812,0.000011727912,0.000037633836,0.0036931322],"genre_scores_gemma":[0.998506,0.0004372566,0.00016499667,0.00014153308,0.00036766398,0.0000022738234,0.0000024771498,0.000010140196,0.00036764354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889064,0.0001283924,0.00028593634,0.000051490566,0.00052365055,0.0001198833],"domain_scores_gemma":[0.9993286,0.00013725873,0.000022991851,0.00006450163,0.0003912305,0.000055413537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009695539,0.00006078995,0.000094183604,0.00012728552,0.00007445495,0.0002112868,0.00022295617,0.000033688262,0.00025991045],"category_scores_gemma":[0.000016331389,0.000040556442,0.00003388026,0.00006731029,0.0000491163,0.00016554235,0.0000060949956,0.00025465785,0.000031778367],"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":[0.00010047111,0.000024123528,0.00014775398,0.0000056416816,0.0001654855,0.00001888182,0.0005345154,0.97059625,0.017753445,0.0027012131,0.0007842137,0.00716803],"study_design_scores_gemma":[0.003398863,0.00033017687,0.017178038,0.00019509123,0.000048591897,0.0010692109,0.00042382404,0.9636994,0.006142134,0.0024645177,0.0048079984,0.00024215762],"about_ca_topic_score_codex":0.000013395886,"about_ca_topic_score_gemma":0.000015622923,"teacher_disagreement_score":0.07342232,"about_ca_system_score_codex":0.00009739985,"about_ca_system_score_gemma":0.000032548338,"threshold_uncertainty_score":0.2845837},"labels":[],"label_agreement":null},{"id":"W2044355966","doi":"10.1177/0278364907083397","title":"Transparent Rate Mode Bilateral Teleoperation Control","year":2007,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","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":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Control theory (sociology); Robustness (evolution); Impedance control; Controller (irrigation); Electrical impedance; Noise (video); Transparency (behavior); Benchmark (surveying); Contact force; Control engineering; Engineering; Computer science; Robot; Control (management); Artificial intelligence","score_opus":0.08105422018208294,"score_gpt":0.38036144493512086,"score_spread":0.29930722475303795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044355966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35847282,0.00044666269,0.62661225,0.0065786303,0.0036023313,0.00029751318,0.000010732672,0.000049110586,0.003929944],"genre_scores_gemma":[0.9981802,0.00011359198,0.00049598864,0.000092594804,0.00083861215,0.0000016215057,0.000002178139,0.000015138722,0.00026004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982067,0.00010247474,0.000488481,0.000057831327,0.0009302419,0.00021432152],"domain_scores_gemma":[0.99847513,0.00031496113,0.000049116315,0.000104079336,0.0009724759,0.000084204396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031811038,0.000076764816,0.00012514694,0.00026550097,0.00007495428,0.00017385541,0.0005275452,0.000044920635,0.000068499656],"category_scores_gemma":[0.00009278628,0.0000504334,0.000067634006,0.00012156507,0.00005062256,0.00015825238,0.000014058169,0.00041485386,0.000040076564],"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":[0.0001213702,0.000031580697,0.0004204452,0.0000061411847,0.00017280558,0.000055279997,0.00084715115,0.95322996,0.036359698,0.0040195566,0.0016249301,0.0031111026],"study_design_scores_gemma":[0.002889248,0.00023695525,0.007758313,0.0001463042,0.000028798895,0.00051116984,0.0008334103,0.9502499,0.025480345,0.0011344722,0.010486735,0.00024431874],"about_ca_topic_score_codex":0.000020492615,"about_ca_topic_score_gemma":0.0000827496,"teacher_disagreement_score":0.63970745,"about_ca_system_score_codex":0.00017828672,"about_ca_system_score_gemma":0.00006157485,"threshold_uncertainty_score":0.20566143},"labels":[],"label_agreement":null},{"id":"W2045783741","doi":"10.1177/0278364909104066","title":"Real-time Motion Stabilization with B-mode Ultrasound Using Image Speckle Information and Visual Servoing","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Advanced Vision and Imaging","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":"Queen's University","funders":"Johns Hopkins University","keywords":"Computer vision; Artificial intelligence; Visual servoing; Imaging phantom; Speckle pattern; Computer science; Image plane; Displacement (psychology); Robot; Decorrelation; Image (mathematics); Physics; Optics","score_opus":0.03221526115768096,"score_gpt":0.3923400413763993,"score_spread":0.3601247802187183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045783741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10825669,0.000019282985,0.88790315,0.0034155224,0.000093147544,0.00009183133,7.1212327e-7,0.000017415176,0.0002022636],"genre_scores_gemma":[0.77776146,0.00019598563,0.22172242,0.0001383365,0.00015824962,3.4093756e-7,0.0000022884553,0.0000060772495,0.000014835552],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981698,0.00011530774,0.00029945213,0.00008453967,0.0011680645,0.00016288357],"domain_scores_gemma":[0.9978028,0.00022620536,0.00021403859,0.00010981098,0.0015815067,0.00006562534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012308483,0.00006984267,0.00008835863,0.00031413606,0.00016639857,0.0006085708,0.000566043,0.000020381365,0.000004973145],"category_scores_gemma":[0.00023160542,0.000046896377,0.000024273902,0.00029366388,0.00007157647,0.0035723462,0.000111865265,0.0002668833,0.000007069286],"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":[0.00052707526,0.00035688563,0.0024045943,0.00002892715,0.00012568355,0.00009122597,0.008449962,0.28201932,0.40289453,0.02820653,0.00042244775,0.2744728],"study_design_scores_gemma":[0.00044181212,0.00020341344,0.0035171646,0.00011222161,0.0000042496763,0.0004521254,0.00024575193,0.9842664,0.004744982,0.005869023,0.00006543423,0.000077450044],"about_ca_topic_score_codex":0.000023605056,"about_ca_topic_score_gemma":0.0000016127024,"teacher_disagreement_score":0.702247,"about_ca_system_score_codex":0.00018327129,"about_ca_system_score_gemma":0.00011942038,"threshold_uncertainty_score":0.58684623},"labels":[],"label_agreement":null},{"id":"W2047126621","doi":"10.1177/0278364904041562","title":"Type Synthesis of Three-Degree-of-Freedom Spherical Parallel Manipulators","year":2004,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":129,"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":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Revolute joint; Parallel manipulator; Linkage (software); Position (finance); Manipulator (device); Motion (physics); Mathematics; Control theory (sociology); Topology (electrical circuits); Computer science; Geometry; Artificial intelligence; Robotic arm; Robot; Combinatorics","score_opus":0.09749988195931124,"score_gpt":0.32941805836308924,"score_spread":0.231918176403778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047126621","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06460251,0.00052680454,0.92884624,0.0016655395,0.0017008635,0.00015753743,0.000006791604,0.000018996163,0.0024747192],"genre_scores_gemma":[0.8105997,0.00033907325,0.18878236,0.0000059539943,0.00020762125,9.076289e-7,6.7840216e-7,0.000025171052,0.000038563045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978818,0.0000409346,0.0005097509,0.000065972585,0.0013088658,0.00019264196],"domain_scores_gemma":[0.99821806,0.00039103683,0.00013522826,0.00020710393,0.0009714214,0.00007717011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010068131,0.00009168718,0.00022972087,0.0001799284,0.000030929536,0.000028622022,0.0010649796,0.00006754828,0.00006665405],"category_scores_gemma":[0.00039499823,0.00006387852,0.000118446114,0.00023410433,0.00013549141,0.00007873821,0.00012578195,0.00042253215,0.000012545348],"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":[0.00008046539,0.00005834472,0.00022787263,0.000018745872,0.00020703694,0.000030149162,0.00006716665,0.9486116,0.002176617,0.047063354,0.00012832884,0.0013303],"study_design_scores_gemma":[0.001511592,0.00066895736,0.003976342,0.0006837854,0.000100941514,0.00040066644,0.0005104159,0.8728508,0.0061099827,0.11272718,0.00014560901,0.00031374977],"about_ca_topic_score_codex":0.00006546315,"about_ca_topic_score_gemma":0.000036153437,"teacher_disagreement_score":0.7459972,"about_ca_system_score_codex":0.00015157262,"about_ca_system_score_gemma":0.00013558465,"threshold_uncertainty_score":0.26048905},"labels":[],"label_agreement":null},{"id":"W2048825222","doi":"10.1177/0278364913507612","title":"Design and experimental validation of planar programmable inertia generators","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertia; Rendering (computer graphics); Acceleration; Planar; Control theory (sociology); Generator (circuit theory); Sylvester's law of inertia; Computer science; Simulation; Control engineering; Engineering; Physics; Classical mechanics; Artificial intelligence; Control (management); Computer graphics (images)","score_opus":0.0776480329732872,"score_gpt":0.3364647748366765,"score_spread":0.25881674186338927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048825222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9330118,0.0008146561,0.06394818,0.000968878,0.0005608657,0.00029743873,9.2444577e-7,0.000014091171,0.00038316942],"genre_scores_gemma":[0.99045163,0.00005762855,0.009235249,0.000009643268,0.0001568656,0.0000064085825,0.0000010101156,0.000009099181,0.000072458446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892735,0.00008588925,0.00026807544,0.000038078506,0.0005840948,0.0000965127],"domain_scores_gemma":[0.99914604,0.00012377382,0.000050568713,0.00006301629,0.0005695392,0.00004705571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077583507,0.000047689722,0.000082722356,0.00015025232,0.00003426059,0.0001253656,0.00026060297,0.000025891863,0.00006112491],"category_scores_gemma":[0.000044191234,0.00003207449,0.000020808548,0.00007555304,0.00005237557,0.0001528502,0.000024382418,0.0001451027,0.000012348188],"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":[0.000038114995,0.00006245229,0.0005600663,0.000014144632,0.0002147543,0.000007754062,0.0015455805,0.7007902,0.28563404,0.0023456693,0.0065181395,0.002269064],"study_design_scores_gemma":[0.000761405,0.00026085446,0.00038056952,0.00007958346,0.000008617377,0.00018753769,0.0012834546,0.2906837,0.704813,0.000699857,0.0007363983,0.0001050158],"about_ca_topic_score_codex":0.000029019266,"about_ca_topic_score_gemma":8.16337e-7,"teacher_disagreement_score":0.419179,"about_ca_system_score_codex":0.00005666109,"about_ca_system_score_gemma":0.000036103527,"threshold_uncertainty_score":0.13079599},"labels":[],"label_agreement":null},{"id":"W2049577501","doi":"10.1177/0278364909101136","title":"Robot-assisted Tactile Sensing for Minimally Invasive Tumor Localization","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","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":"Western University","funders":"","keywords":"Palpation; Tactile sensor; Invasive surgery; Robot; Artificial intelligence; Computer science; Robotics; Biomedical engineering; Computer vision; Robotic surgery; Engineering; Medicine; Radiology; Surgery","score_opus":0.06729523552260887,"score_gpt":0.3585991759891274,"score_spread":0.29130394046651853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049577501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0404993,0.00033044608,0.94207406,0.013801588,0.0010316673,0.00050651707,0.000015707206,0.00006262763,0.0016781056],"genre_scores_gemma":[0.9763849,0.000104800136,0.022631615,0.00019185404,0.00055473857,0.000002461842,0.000008644202,0.000021160231,0.0000998303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985409,0.00003969192,0.0003780294,0.000083981795,0.000739019,0.00021840532],"domain_scores_gemma":[0.9972192,0.00071598956,0.00010764462,0.00014748875,0.0017315726,0.00007811097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076325977,0.00008980236,0.00013151304,0.00024093752,0.00013866811,0.00018193471,0.00060666184,0.000040312178,0.000011816922],"category_scores_gemma":[0.0004791357,0.00006988219,0.00009413855,0.00024241513,0.000056151403,0.00011811727,0.000036445836,0.00032371609,0.000010929139],"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":[0.000052953343,0.000055156816,0.000031768883,0.000009240656,0.000106770705,0.00002026501,0.00018132321,0.93608475,0.04024144,0.0030891513,0.009312446,0.010814748],"study_design_scores_gemma":[0.0012732637,0.0003682207,0.004117709,0.0002615598,0.000058237987,0.00048779044,0.0006130429,0.91859066,0.043652657,0.02173631,0.008564121,0.0002764359],"about_ca_topic_score_codex":0.0000046235027,"about_ca_topic_score_gemma":0.0000121179755,"teacher_disagreement_score":0.9358856,"about_ca_system_score_codex":0.00021026532,"about_ca_system_score_gemma":0.00013812898,"threshold_uncertainty_score":0.2849713},"labels":[],"label_agreement":null},{"id":"W2049944496","doi":"10.1177/02783640022067887","title":"Robotic System Sensitivity to Neural Network Learning Rate: Theory, Simulation, and Experiments","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Neural Networks and Applications","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":"University of Toronto","funders":"","keywords":"Artificial neural network; Sensitivity (control systems); Controller (irrigation); Computer science; PID controller; Artificial intelligence; Control theory (sociology); Robot; Control engineering; Robotics; Reinforcement learning; Engineering; Control (management)","score_opus":0.06838534475249715,"score_gpt":0.3862598059274142,"score_spread":0.3178744611749171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049944496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16993405,0.0003499304,0.81339854,0.014634508,0.0006166269,0.0002985883,6.339469e-7,0.000040812014,0.00072633015],"genre_scores_gemma":[0.9947838,0.00003135757,0.0038040278,0.00022606376,0.00058382953,0.0000029767018,4.7405797e-7,0.000008453021,0.0005589943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772644,0.00075697125,0.0002986196,0.00015934692,0.0007981704,0.0002604639],"domain_scores_gemma":[0.9973939,0.00149267,0.00010070174,0.00018036774,0.0006999731,0.00013238257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033783289,0.00008477054,0.00012876127,0.00010272296,0.0003432824,0.00044137187,0.0008494536,0.00002823078,0.000016506096],"category_scores_gemma":[0.00011574087,0.000058718655,0.000047775433,0.00035629715,0.0000693842,0.0002471806,0.00029873598,0.0004634475,0.00003103116],"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":[0.00004816226,0.000018915674,0.00012421761,0.0000015598669,0.000036304828,0.000037631256,0.00020624373,0.9621037,0.0002820691,0.019001966,0.00043649375,0.017702721],"study_design_scores_gemma":[0.0001591115,0.00008258436,0.0013686825,0.000056798577,0.0000048060847,0.00017168763,0.00007595219,0.99509686,0.000102959726,0.001892978,0.00092357467,0.00006402733],"about_ca_topic_score_codex":0.00001085685,"about_ca_topic_score_gemma":0.000002501825,"teacher_disagreement_score":0.8248498,"about_ca_system_score_codex":0.000088441295,"about_ca_system_score_gemma":0.000047863305,"threshold_uncertainty_score":0.4256159},"labels":[],"label_agreement":null},{"id":"W2051054117","doi":"10.1177/02783640022067003","title":"Discrete-Time Lyapunov Design for Neuroadaptive Control of Elastic-Joint Robots","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Adaptive Control of Nonlinear Systems","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 Toronto","funders":"","keywords":"Control theory (sociology); Backstepping; Artificial neural network; Discrete time and continuous time; Controller (irrigation); Robot; Lyapunov function; Computer science; Adaptive control; Content-addressable memory; Lyapunov stability; Trajectory; Stability (learning theory); Mathematics; Artificial intelligence; Nonlinear system; Control (management); Machine learning","score_opus":0.07775273071457117,"score_gpt":0.33015674717987115,"score_spread":0.2524040164653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051054117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009040467,0.0005101338,0.9858268,0.001999718,0.00063045486,0.00062381005,0.00005240654,0.000022806638,0.0012934202],"genre_scores_gemma":[0.9876546,0.000066408254,0.010404052,0.00002924117,0.0008045052,0.000010360047,0.0000017535168,0.00004694588,0.0009821089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973369,0.0002689201,0.00070197217,0.00010639736,0.0012746276,0.0003111863],"domain_scores_gemma":[0.9956684,0.0020465602,0.00016736076,0.0001842124,0.0018314607,0.00010201547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024061126,0.00014386394,0.00035715668,0.00026658011,0.0000633896,0.000071411145,0.0009864283,0.00006311756,0.00010205565],"category_scores_gemma":[0.000560184,0.00010042753,0.00020067225,0.00012203143,0.00016387159,0.00013476553,0.000042709235,0.00048481172,0.000044162633],"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":[0.00076881563,0.000040953008,0.000012623846,0.000010738126,0.00050201704,0.00002781015,0.0001312123,0.97316194,0.019470561,0.00065557245,0.0016904923,0.0035272725],"study_design_scores_gemma":[0.002046724,0.0005912157,0.0002673038,0.00016369481,0.00004779641,0.00009419985,0.00008107905,0.99046797,0.0034058979,0.0011568345,0.001556533,0.00012077554],"about_ca_topic_score_codex":0.0000073731835,"about_ca_topic_score_gemma":0.000002202151,"teacher_disagreement_score":0.97861415,"about_ca_system_score_codex":0.00017266381,"about_ca_system_score_gemma":0.00014486567,"threshold_uncertainty_score":0.4095316},"labels":[],"label_agreement":null},{"id":"W2051904401","doi":"10.1177/0278364911434936","title":"Histogram of Oriented Uniform Patterns for robust place recognition and categorization","year":2012,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","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":"York University","funders":"","keywords":"Categorization; Discriminative model; Computer science; Artificial intelligence; Histogram; Pattern recognition (psychology); Set (abstract data type); Representation (politics); Context (archaeology); Generalization; Feature (linguistics); Kernel (algebra); Machine learning; Image (mathematics); Mathematics; Geography","score_opus":0.15894822987442955,"score_gpt":0.3955169489965579,"score_spread":0.23656871912212837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051904401","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007648577,0.00019589475,0.9902282,0.0013871397,0.00030865474,0.00014055189,0.0000072139046,0.000008981176,0.000074831565],"genre_scores_gemma":[0.8034782,0.00071369763,0.19529794,0.00005563444,0.0003064249,0.0000051504767,0.000009872318,0.000009744714,0.00012332987],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987127,0.00007431185,0.0002849623,0.00006950366,0.000688338,0.00017016778],"domain_scores_gemma":[0.9969942,0.0004632508,0.00023070449,0.00012146209,0.0021281745,0.0000621867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019176612,0.00005499813,0.00009437598,0.000247203,0.000069915994,0.00006223631,0.0006677381,0.00003315817,0.0000041275784],"category_scores_gemma":[0.0005168277,0.000038384216,0.000043982516,0.00020365068,0.00007070489,0.0007034147,0.00018565462,0.00021237425,0.0000011696623],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008837135,0.00091321254,0.008705948,0.0001519986,0.00037582187,0.000019664065,0.0051831184,0.0077801803,0.014991629,0.10933849,0.004065842,0.8475904],"study_design_scores_gemma":[0.005734651,0.0047418154,0.01028879,0.0011998331,0.00012576979,0.0014735676,0.002567514,0.2828377,0.478432,0.18152995,0.030138701,0.00092970754],"about_ca_topic_score_codex":0.000016816217,"about_ca_topic_score_gemma":0.0000028829659,"teacher_disagreement_score":0.8466607,"about_ca_system_score_codex":0.00011247943,"about_ca_system_score_gemma":0.00007197889,"threshold_uncertainty_score":0.15652628},"labels":[],"label_agreement":null},{"id":"W2052657642","doi":"10.1177/0278364908091152","title":"Kinematic and Static Analysis of a Three-degree-of-freedom Spatial Modular Tensegrity Mechanism","year":2008,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Structural Analysis and Optimization","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":"Université Laval; Royal Military College of Canada; Royal Ottawa Mental Health Centre","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tensegrity; Workspace; Mechanism (biology); Modular design; Kinematics; Inertia; Actuator; Static analysis; Position (finance); Computer science; Engineering; Control theory (sociology); Topology (electrical circuits); Structural engineering; Robot; Artificial intelligence; Physics; Classical mechanics","score_opus":0.08759782427917895,"score_gpt":0.31510303059300726,"score_spread":0.2275052063138283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052657642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71463007,0.00024322358,0.2844143,0.00041115287,0.0001411987,0.000069788526,0.000011635966,0.0000046689756,0.00007395859],"genre_scores_gemma":[0.9849956,0.0005393663,0.014356035,0.0000044449876,0.000073660674,6.5639153e-7,0.000004404737,0.00000862593,0.00001721915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979828,0.000072549126,0.000530342,0.00006558465,0.0012280596,0.0001206476],"domain_scores_gemma":[0.99808097,0.00031357966,0.00019075368,0.00014706804,0.0012158295,0.00005179423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008093732,0.00007918353,0.0003214777,0.0007158874,0.000050126728,0.000022956558,0.00046491105,0.000038360504,0.00006957537],"category_scores_gemma":[0.00025003537,0.000051181927,0.00015446027,0.00056557986,0.00014751554,0.000088498215,0.000082660794,0.00026277467,6.457865e-7],"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":[0.000032294116,0.000020529224,0.0015362585,0.000020236583,0.0018461733,0.000016462209,0.0003123892,0.9901501,0.0039501763,0.001362834,0.000039148705,0.00071342534],"study_design_scores_gemma":[0.0002421797,0.00006123171,0.017652944,0.000037052687,0.00028029585,0.000044178407,0.00008025541,0.97727656,0.0010416209,0.0032350274,0.0000019867532,0.000046655576],"about_ca_topic_score_codex":0.00022599068,"about_ca_topic_score_gemma":0.00014249513,"teacher_disagreement_score":0.2703655,"about_ca_system_score_codex":0.000055189244,"about_ca_system_score_gemma":0.00004123025,"threshold_uncertainty_score":0.20871384},"labels":[],"label_agreement":null},{"id":"W2057359881","doi":"10.1177/0278364911401053","title":"Trilateral teleoperation control of kinematically redundant robotic manipulators","year":2011,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"McMaster University","funders":"","keywords":"Teleoperation; Redundancy (engineering); Robot; Control theory (sociology); Computer science; Decoupling (probability); Frame (networking); Control engineering; Task (project management); Serial manipulator; Engineering; Control (management); Artificial intelligence; Parallel manipulator","score_opus":0.10876585283495102,"score_gpt":0.3229537920651775,"score_spread":0.21418793923022647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057359881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48404577,0.00076869666,0.4923189,0.003155109,0.0054052053,0.00078930584,0.000009912916,0.000073031435,0.013434076],"genre_scores_gemma":[0.99690807,0.00006536244,0.0024954164,0.000028054854,0.00030702038,0.00000257603,0.0000010576875,0.000017992004,0.00017445258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779904,0.00013713194,0.00073020434,0.000063086205,0.0010918573,0.0001786977],"domain_scores_gemma":[0.9981293,0.00020332847,0.00011668366,0.00015945976,0.0013133669,0.00007787816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016355332,0.000090697264,0.00022246588,0.0003032527,0.000048385667,0.0000787281,0.0006896357,0.00005372006,0.00020620893],"category_scores_gemma":[0.00022584327,0.000059468028,0.000095839176,0.0001460514,0.00009791339,0.00016111034,0.000035808196,0.00035464804,0.00003131895],"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":[0.00029764095,0.000202883,0.0020358765,0.00007337981,0.00086272473,0.00009649684,0.004024851,0.88371134,0.037700403,0.067021556,0.0019435605,0.0020292886],"study_design_scores_gemma":[0.003204048,0.0006962088,0.014027692,0.0004922983,0.000095005395,0.0009863918,0.0013424658,0.9504504,0.023429032,0.0042917007,0.00066242483,0.00032230144],"about_ca_topic_score_codex":0.00002450073,"about_ca_topic_score_gemma":0.000012347159,"teacher_disagreement_score":0.5128623,"about_ca_system_score_codex":0.0001017727,"about_ca_system_score_gemma":0.00008513051,"threshold_uncertainty_score":0.24250358},"labels":[],"label_agreement":null},{"id":"W2059796524","doi":"10.1177/0278364913488806","title":"A human-inspired object handover controller","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Social Robot Interaction and HRI","field":"Psychology","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":"Mitsubishi Electric Research Laboratories","keywords":"Handover; Robot; Controller (irrigation); Actuator; Object (grammar); Computer science; Control engineering; Set (abstract data type); Human–robot interaction; Engineering; Artificial intelligence; Control theory (sociology); Control (management); Telecommunications","score_opus":0.1573592141429892,"score_gpt":0.49157104952106856,"score_spread":0.33421183537807936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059796524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5294403,0.0010979587,0.0068343603,0.12283956,0.015785865,0.0013289982,0.000011395662,0.00006715496,0.3225944],"genre_scores_gemma":[0.9711388,0.00002178923,0.00015525203,0.000853769,0.0016131139,0.000015747364,9.607869e-7,0.000017628403,0.026182968],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9974123,0.00038986202,0.00046331965,0.00010865852,0.0013407872,0.00028506582],"domain_scores_gemma":[0.9962627,0.0006694792,0.00024159234,0.0001633368,0.0025581608,0.0001046972],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015486153,0.00008956268,0.00018272593,0.0003260299,0.00019459834,0.00027961133,0.0010824011,0.000077737175,0.007995461],"category_scores_gemma":[0.00044545793,0.00005783126,0.00018969669,0.00015893302,0.00018192078,0.00017773671,0.00011841685,0.00086792186,0.001883891],"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":[0.0009544219,0.00089702936,0.0028720037,0.0000046617693,0.0024753492,0.00020629598,0.0069958596,0.0028577952,0.018928155,0.13075428,0.80793726,0.025116902],"study_design_scores_gemma":[0.04542646,0.004716979,0.36531958,0.0007334034,0.00031677602,0.003848137,0.043243445,0.010170739,0.0049396823,0.19909279,0.3204986,0.0016934313],"about_ca_topic_score_codex":0.000512571,"about_ca_topic_score_gemma":0.00003451404,"teacher_disagreement_score":0.48743868,"about_ca_system_score_codex":0.00018205437,"about_ca_system_score_gemma":0.0000892327,"threshold_uncertainty_score":0.99889326},"labels":[],"label_agreement":null},{"id":"W2064182365","doi":"10.1177/0278364914539404","title":"Scan registration using segmented region growing NDT","year":2014,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":68,"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":"Nondestructive testing; Voxel; Cluster analysis; Computer science; Gaussian; Gaussian function; Artificial intelligence; Point spread function; Algorithm; Computer vision; Physics","score_opus":0.08928489556579337,"score_gpt":0.343766719242631,"score_spread":0.25448182367683764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064182365","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11614832,0.00012074856,0.8773855,0.003319659,0.0012204914,0.00010039051,8.828266e-7,0.000027347847,0.0016766813],"genre_scores_gemma":[0.9947134,0.0001421716,0.004210091,0.00006657206,0.0007342723,5.127843e-7,0.000004228717,0.000024579858,0.00010414993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799603,0.00016091672,0.00039982796,0.00007717532,0.0011662197,0.00019980085],"domain_scores_gemma":[0.99836034,0.00024414636,0.000114615286,0.00016120594,0.001048738,0.000070929236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016235921,0.00008555282,0.00011593649,0.0003063453,0.000119847886,0.00018893655,0.00054278044,0.00005464476,0.000010019386],"category_scores_gemma":[0.00031893502,0.00006598548,0.000069820686,0.00022718345,0.000073116964,0.00025053255,0.00004589163,0.00041871466,0.00000636621],"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":[0.000027310309,0.000016638936,0.00019349901,0.000009065542,0.00006549502,0.000017780436,0.00009814493,0.9745146,0.014537168,0.007220261,0.0011882959,0.0021117148],"study_design_scores_gemma":[0.00031383423,0.0000618427,0.00016577986,0.0001265396,0.000012584283,0.00016588814,0.00013529375,0.99036336,0.005401897,0.002073165,0.0011047183,0.00007510488],"about_ca_topic_score_codex":0.000028776512,"about_ca_topic_score_gemma":0.000009529812,"teacher_disagreement_score":0.8785651,"about_ca_system_score_codex":0.00031202164,"about_ca_system_score_gemma":0.00006613289,"threshold_uncertainty_score":0.26908097},"labels":[],"label_agreement":null},{"id":"W2064526960","doi":"10.1177/0278364912444766","title":"Robotic load balancing for mobility-on-demand systems","year":2012,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Transportation and Mobility Innovations","field":"Engineering","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":"University of Waterloo","funders":"","keywords":"Computer science; TRIPS architecture; Pickup; Destinations; Throughput; Set (abstract data type); Variable (mathematics); Simulation; Real-time computing; Wireless; Telecommunications; Artificial intelligence","score_opus":0.08531598830349683,"score_gpt":0.37384951195778127,"score_spread":0.2885335236542844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064526960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3837036,0.002717614,0.58456105,0.00792019,0.013739015,0.001342538,0.000059503902,0.0001126642,0.0058438145],"genre_scores_gemma":[0.9978729,0.000077512384,0.0010009751,0.000047010664,0.0007402954,0.000015471842,0.0000045962256,0.000016852382,0.0002244238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816656,0.000050149265,0.00042848685,0.000055422046,0.0010365786,0.00026283078],"domain_scores_gemma":[0.99731934,0.00073835265,0.000065462,0.0001505204,0.0016401389,0.000086211585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031915174,0.00007693399,0.00012797222,0.0002060653,0.00008828077,0.0000862687,0.00048566997,0.00004452785,0.000020156358],"category_scores_gemma":[0.00033269203,0.00005494891,0.000079265104,0.00018067766,0.00006185508,0.0001769215,0.000015866008,0.00040648982,0.000021424908],"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":[0.000045777142,0.00009737506,0.0010288319,0.000035226287,0.00016850364,0.0000020180441,0.00052535057,0.9676957,0.0018527965,0.021580847,0.0066368873,0.00033069967],"study_design_scores_gemma":[0.006907677,0.0011009952,0.074753724,0.001307633,0.00025640614,0.00065251195,0.0076829907,0.78034985,0.013787249,0.0090015335,0.10307445,0.0011249564],"about_ca_topic_score_codex":0.00000766387,"about_ca_topic_score_gemma":0.000004987427,"teacher_disagreement_score":0.61416924,"about_ca_system_score_codex":0.0003318972,"about_ca_system_score_gemma":0.000101669946,"threshold_uncertainty_score":0.22407514},"labels":[],"label_agreement":null},{"id":"W2068224372","doi":"10.1177/02783640122067426","title":"Singularity Analysis of a Three-Leg Six-Degree-of-Freedom Parallel Platform Mechanism Based on Grassmann Line Geometry","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","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 Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Singularity; Jacobian matrix and determinant; Mathematics; Geometry; Gravitational singularity; Mathematical analysis","score_opus":0.10368251752631277,"score_gpt":0.3391433744039086,"score_spread":0.23546085687759585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068224372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057254862,0.000092273265,0.9403081,0.0008278853,0.00054900354,0.00011975668,0.000023599641,0.000014086585,0.00081046537],"genre_scores_gemma":[0.89785135,0.00021651774,0.10158855,0.000027042703,0.00019718856,0.0000016604231,0.000014716963,0.000028068833,0.000074917414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996328,0.00006563989,0.0007947108,0.00012985006,0.0023718504,0.0003099743],"domain_scores_gemma":[0.99689156,0.0007985323,0.0002795791,0.00040453213,0.0015021536,0.00012366925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002682813,0.00016189308,0.0004602049,0.001672362,0.000067570465,0.00006537338,0.0013864883,0.00012243129,0.0001260544],"category_scores_gemma":[0.00041583975,0.00011779564,0.00036225969,0.0011775494,0.00011424425,0.000116191855,0.00014372017,0.00078021124,0.0000048240254],"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":[0.00022181778,0.00017374806,0.0006052806,0.000017018145,0.0012604237,0.00006817421,0.000051435032,0.935538,0.0011258486,0.05970937,0.000060374885,0.0011685287],"study_design_scores_gemma":[0.0006177282,0.00031175092,0.0013219322,0.00009439803,0.00018911285,0.000026591393,0.000073836905,0.97791463,0.00041062752,0.018921757,0.000018186054,0.000099468954],"about_ca_topic_score_codex":0.00009818486,"about_ca_topic_score_gemma":0.00022004607,"teacher_disagreement_score":0.8405965,"about_ca_system_score_codex":0.00020352773,"about_ca_system_score_gemma":0.000120439974,"threshold_uncertainty_score":0.48035666},"labels":[],"label_agreement":null},{"id":"W2069731879","doi":"10.1177/027836402320556377","title":"On Path Planning and Obstacle Avoidance for Nonholonomic Platforms with Manipulators: A Polynomial Approach","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","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":"McGill University","funders":"","keywords":"Nonholonomic system; Motion planning; Obstacle; Obstacle avoidance; Cartesian coordinate system; Constraint (computer-aided design); Configuration space; Control theory (sociology); Polynomial; Path (computing); Computer science; Orientation (vector space); Space (punctuation); Mobile robot; Mathematics; Mathematical optimization; Robot; Control (management); Artificial intelligence; Geometry; Mathematical analysis; Physics","score_opus":0.1329448556421738,"score_gpt":0.3472689054151658,"score_spread":0.21432404977299202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069731879","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12443094,0.0003864789,0.8707898,0.0029624745,0.000535584,0.00026575802,0.0000050188696,0.00001999325,0.00060389616],"genre_scores_gemma":[0.8068344,0.000018881194,0.19240233,0.0001257115,0.00036029104,0.0000070337805,0.0000010144763,0.000015628384,0.00023468235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979656,0.000054426364,0.0003109358,0.00021480408,0.0011201564,0.0003340962],"domain_scores_gemma":[0.9979935,0.0009359904,0.00021771136,0.00026343632,0.0004754722,0.000113878246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016383026,0.000121432044,0.00017432786,0.0003014025,0.0002124531,0.0003667843,0.0018414819,0.000050024464,0.0000020996397],"category_scores_gemma":[0.00023355777,0.00007476814,0.000053018022,0.00016933196,0.00013276847,0.00035867834,0.0002247404,0.0006012542,0.0000075731464],"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":[0.00054822216,0.00040638307,0.0017534177,0.000024311925,0.00033635515,0.00031376042,0.0047479444,0.9397082,0.00027727816,0.03129814,0.010443281,0.010142722],"study_design_scores_gemma":[0.0014765643,0.0007883682,0.0013098978,0.00016782149,0.000006640383,0.0010549369,0.00019327275,0.9916943,0.00018813905,0.0027921584,0.00019740303,0.0001305373],"about_ca_topic_score_codex":0.0000063127254,"about_ca_topic_score_gemma":2.2869293e-7,"teacher_disagreement_score":0.6824035,"about_ca_system_score_codex":0.0001672547,"about_ca_system_score_gemma":0.000080099926,"threshold_uncertainty_score":0.35369095},"labels":[],"label_agreement":null},{"id":"W2071852710","doi":"10.1177/027836402761393360","title":"On Fitted Stratified and Semi-Stratified Geometric Manipulation Planning with Fingertip Relocations","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","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":"Simon Fraser University","funders":"","keywords":"Kinematics; Object (grammar); Computation; Computer science; Motion planning; Simulation; Computer vision; Algorithm; Artificial intelligence; Robot","score_opus":0.1406591427382193,"score_gpt":0.34271991844460986,"score_spread":0.20206077570639056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071852710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76330316,0.0010807336,0.21214385,0.008414348,0.00080592936,0.00039755824,0.000001979828,0.00010937642,0.013743056],"genre_scores_gemma":[0.9981501,0.00010077455,0.0009827944,0.00004396131,0.00018379909,0.0000023832501,0.0000041828957,0.000020453776,0.0005115512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830836,0.00008794062,0.00032587867,0.00009287494,0.0010045952,0.00018036836],"domain_scores_gemma":[0.99847233,0.0007011961,0.00009955122,0.0001281039,0.000525793,0.000073009294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071157585,0.00009743279,0.000112370035,0.0006644883,0.000162953,0.00023147368,0.00033305254,0.00005191204,0.00012255834],"category_scores_gemma":[0.00030357332,0.00006915373,0.000029652692,0.00039717657,0.000058551406,0.00018657243,0.000027130118,0.000724696,0.000021428114],"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":[0.00004023651,0.000024822477,0.00094935176,0.0000074019863,0.00008906487,0.000026284793,0.0005817865,0.99182457,0.00056148245,0.0021130466,0.001889198,0.0018927705],"study_design_scores_gemma":[0.00059380336,0.00019806955,0.017387353,0.00017980009,0.000014276641,0.00015397856,0.00036111975,0.97945195,0.00047966,0.0007665057,0.0002924133,0.000121039084],"about_ca_topic_score_codex":0.000006681187,"about_ca_topic_score_gemma":0.000007749381,"teacher_disagreement_score":0.23484693,"about_ca_system_score_codex":0.00011470825,"about_ca_system_score_gemma":0.000021867225,"threshold_uncertainty_score":0.31484836},"labels":[],"label_agreement":null},{"id":"W2073442429","doi":"10.1177/0278364909105053","title":"Robotic Routers: Algorithms and Implementation","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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":"Canadian Institute for Advanced Research; National Science Foundation","keywords":"Computer science; Software deployment; Computer network; Base station; Distributed computing; Motion (physics); Wireless network; Motion planning; Robot; Adversarial system; Wireless; Artificial intelligence; Telecommunications","score_opus":0.08267368106074037,"score_gpt":0.4249953283357911,"score_spread":0.34232164727505077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073442429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004435642,0.00042241282,0.93892825,0.054590218,0.0011166786,0.0001462417,0.0000011422688,0.000021958234,0.00033744334],"genre_scores_gemma":[0.6201527,0.00029393143,0.37792712,0.0006855934,0.00072107906,0.000001751819,0.0000021270616,0.0000100838615,0.00020555759],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996997,0.00022282598,0.00043558792,0.00017087202,0.0018607486,0.0003129603],"domain_scores_gemma":[0.99774003,0.0004607526,0.00021763466,0.00026996917,0.0011859619,0.0001256451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030585453,0.00010195227,0.00015369618,0.00040684085,0.00015875405,0.00057778525,0.0023809057,0.000039774808,0.0000072846547],"category_scores_gemma":[0.00020508708,0.00007057198,0.0000612424,0.00032665965,0.000093506926,0.00061116926,0.00030000322,0.000534614,0.000015074536],"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":[0.000082431034,0.00030276013,0.0014799822,0.000009326425,0.0003965646,0.0009702982,0.0064219795,0.21414658,0.0036501612,0.117736235,0.012536868,0.6422668],"study_design_scores_gemma":[0.0026730564,0.0018424959,0.041009713,0.00024272029,0.00003702017,0.0042726486,0.0015468261,0.85021865,0.0027878382,0.093470894,0.0014692575,0.0004288941],"about_ca_topic_score_codex":0.000022709632,"about_ca_topic_score_gemma":0.0000014561006,"teacher_disagreement_score":0.6418379,"about_ca_system_score_codex":0.00015980087,"about_ca_system_score_gemma":0.00019570462,"threshold_uncertainty_score":0.55715966},"labels":[],"label_agreement":null},{"id":"W2073752657","doi":"10.1177/02783640022066842","title":"On the Dynamics and Control of Flexible Multibody Systems with Closed Loops","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","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":"University of Toronto","funders":"","keywords":"Payload (computing); Control theory (sociology); Passivity; Feed forward; Controller (irrigation); Property (philosophy); Control engineering; Position (finance); Multibody system; Computer science; Robot; Torque; Tracking (education); Robotic arm; Kinematics; Trajectory; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.020298420914837568,"score_gpt":0.2823377040486466,"score_spread":0.26203928313380903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073752657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7784254,0.0021953334,0.197176,0.010670112,0.0012880006,0.00091009843,0.000067082285,0.00003511866,0.009232859],"genre_scores_gemma":[0.9988319,0.00017696997,0.000060348888,0.000028044638,0.00014865931,0.000004129122,7.59497e-7,0.000015972095,0.00073316833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998224,0.0001275628,0.00033363467,0.000060645707,0.001085267,0.00016888404],"domain_scores_gemma":[0.9981872,0.000967749,0.00008268766,0.00015659974,0.00054622634,0.00005952726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016339549,0.00008182314,0.00017870507,0.00009808176,0.00005466868,0.00011277738,0.0006638456,0.000040322044,0.000040286657],"category_scores_gemma":[0.00006743251,0.00004005109,0.000050276678,0.000102928,0.00008760353,0.000051068757,0.000022487702,0.0004506094,0.000008318674],"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":[0.00038056454,0.000045580815,0.000072702074,0.000012696553,0.00043721494,0.000025988182,0.00008531217,0.855717,0.0008906347,0.1372794,0.00015461857,0.004898281],"study_design_scores_gemma":[0.00093421753,0.00025986455,0.00025191758,0.00016445771,0.000015103578,0.00009036066,0.0002144168,0.9968117,0.000050043927,0.0010192764,0.0001396725,0.000049003127],"about_ca_topic_score_codex":0.000055709366,"about_ca_topic_score_gemma":0.00001825748,"teacher_disagreement_score":0.22040655,"about_ca_system_score_codex":0.00012614262,"about_ca_system_score_gemma":0.000040732008,"threshold_uncertainty_score":0.19576986},"labels":[],"label_agreement":null},{"id":"W2074655622","doi":"10.1177/0278364909336805","title":"Identification of Contact Parameters from Stiff Multi-point Contact Robotic Operations","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","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":true,"ca_institutions":"McGill University","funders":"","keywords":"Identification (biology); Observability; Contact force; Control theory (sociology); Point (geometry); Control engineering; System identification; Computer science; Engineering; Algorithm; Mathematics; Artificial intelligence; Control (management); Applied mathematics","score_opus":0.10177500007524687,"score_gpt":0.3747261382176425,"score_spread":0.27295113814239563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074655622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29283673,0.00040869365,0.7009672,0.0041153077,0.0011609741,0.00023549552,0.0000048785196,0.0000321694,0.00023854781],"genre_scores_gemma":[0.9955482,0.00015402537,0.003956992,0.000053031872,0.00016156648,0.0000014295517,0.000010845035,0.000015084442,0.0000988513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979263,0.00017631112,0.0007302961,0.000082096856,0.0009100568,0.00017493642],"domain_scores_gemma":[0.99804807,0.0004549383,0.00015147863,0.00020075156,0.0010669852,0.00007776407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012507696,0.00009986974,0.00019551077,0.00033819053,0.00008813429,0.0001917725,0.0007479975,0.000055416785,0.0000732796],"category_scores_gemma":[0.00056614773,0.000077430705,0.000111361354,0.00018819052,0.000044025724,0.00029323675,0.000035690173,0.00061295,0.00003296242],"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":[0.000036402067,0.00005911508,0.00019256608,0.0000028975826,0.0001348357,0.0000090700805,0.0006881754,0.8915646,0.10352022,0.0019897956,0.0002929651,0.0015093538],"study_design_scores_gemma":[0.00066600076,0.00009756229,0.028154014,0.00009995492,0.000024295487,0.000025628326,0.0005865922,0.9592771,0.010206556,0.00073106214,0.00003969838,0.000091563415],"about_ca_topic_score_codex":0.00006533504,"about_ca_topic_score_gemma":0.00002436681,"teacher_disagreement_score":0.70271146,"about_ca_system_score_codex":0.00019922642,"about_ca_system_score_gemma":0.00007331751,"threshold_uncertainty_score":0.31575325},"labels":[],"label_agreement":null},{"id":"W2075647054","doi":"10.1177/02783640122068209","title":"Torso Force Feedback Realistically Simulates Slope on Treadmill-Style Locomotion Interfaces","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":47,"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":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Torso; Treadmill; Simulation; Tilt (camera); Haptic technology; Computer science; Engineering; Mechanical engineering; Physical therapy","score_opus":0.05419338891216696,"score_gpt":0.34500981027746314,"score_spread":0.2908164213652962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075647054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44304478,0.0011987771,0.375249,0.07777972,0.0077851205,0.001208225,0.000031460128,0.00031101744,0.09339192],"genre_scores_gemma":[0.99593365,0.00057322066,0.0006474159,0.00013766998,0.00065915054,0.0000028613495,0.00000406831,0.00003028926,0.0020116633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975731,0.00015751904,0.00049713877,0.000113656846,0.0013440851,0.0003145492],"domain_scores_gemma":[0.99776363,0.00074768905,0.00009263948,0.0002188623,0.0010383013,0.00013887507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285296,0.00014354425,0.00019843856,0.00032143676,0.00010178884,0.00023605455,0.001059857,0.00007454437,0.000309891],"category_scores_gemma":[0.00041708592,0.000097223114,0.000112664726,0.00022376452,0.00011554427,0.00017057349,0.00008729631,0.00070389285,0.00017226505],"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":[0.0002466313,0.00011453904,0.000137696,0.0000074005748,0.00022758044,0.00009651443,0.00025883378,0.97108376,0.0022819426,0.0051753432,0.006344487,0.014025298],"study_design_scores_gemma":[0.0029865967,0.0009948587,0.002232079,0.00047134332,0.000053148735,0.000578173,0.00080246327,0.9610286,0.0056034764,0.011620287,0.013258628,0.00037038233],"about_ca_topic_score_codex":0.000016337168,"about_ca_topic_score_gemma":0.00002195004,"teacher_disagreement_score":0.5528889,"about_ca_system_score_codex":0.00031550304,"about_ca_system_score_gemma":0.000055881475,"threshold_uncertainty_score":0.39646438},"labels":[],"label_agreement":null},{"id":"W2077245982","doi":"10.1177/0278364913487931","title":"Optimality and Robustness in Multi-Robot Path Planning with Temporal Logic Constraints","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":194,"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":"Robot; Correctness; Linear temporal logic; Robustness (evolution); Motion planning; Computer science; Software deployment; Set (abstract data type); Function (biology); Trajectory; Mathematical optimization; Temporal logic; Path (computing); Mathematics; Algorithm; Artificial intelligence; Theoretical computer science","score_opus":0.16655694677959967,"score_gpt":0.40041469808930774,"score_spread":0.23385775130970807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077245982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062227897,0.0001736563,0.9292221,0.007715986,0.00027888018,0.00019287327,0.0000012641353,0.000013202337,0.00017415744],"genre_scores_gemma":[0.5899574,0.000015758917,0.40984476,0.00005980715,0.00005989909,0.0000036380652,6.596859e-7,0.000006293617,0.000051780662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971762,0.00034265543,0.00044555846,0.00021505069,0.0014482131,0.00037232644],"domain_scores_gemma":[0.99737626,0.0007085739,0.0002346563,0.0002513545,0.0012871209,0.00014204653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032207442,0.00012794761,0.00021361891,0.00038449356,0.000110611545,0.00050224253,0.0020802992,0.000059248636,0.000012477432],"category_scores_gemma":[0.00036291676,0.000078571305,0.000034987374,0.00033216045,0.00044165133,0.00058999256,0.00048128722,0.00091031176,0.000009309619],"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":[0.0000388713,0.00014661484,0.032506153,0.000008299615,0.00007643117,0.00088014884,0.0009296862,0.95772177,0.00023918072,0.0025361099,0.00027787074,0.004638866],"study_design_scores_gemma":[0.0011247832,0.00022730035,0.06720333,0.00030058567,0.0000033642386,0.0014402408,0.0005585964,0.92735916,0.00007477441,0.0015648954,0.000010365705,0.00013262231],"about_ca_topic_score_codex":0.00012326695,"about_ca_topic_score_gemma":0.000003594471,"teacher_disagreement_score":0.5277295,"about_ca_system_score_codex":0.00014273355,"about_ca_system_score_gemma":0.00029641239,"threshold_uncertainty_score":0.48431367},"labels":[],"label_agreement":null},{"id":"W2077676902","doi":"10.1177/0278364904050917","title":"Modeling and Experiments of Untethered Quadrupedal Running with a Bounding Gait: The Scout II Robot","year":2005,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":268,"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":"Robot; Bounding overwatch; Control theory (sociology); Torque; Simulation; Actuator; Task (project management); Legged robot; Gait; Control engineering; Computer science; Controller (irrigation); Quadrupedalism; Engineering; Artificial intelligence; Control (management)","score_opus":0.06565699778766104,"score_gpt":0.353707854251146,"score_spread":0.28805085646348494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077676902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6930185,0.0023584564,0.29208,0.010099473,0.0004971076,0.00026396016,0.000001981789,0.000023857454,0.0016566821],"genre_scores_gemma":[0.9949887,0.00018690384,0.004252263,0.000046159515,0.00034869078,0.0000029705523,3.8211616e-7,0.000020479962,0.00015347371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981234,0.00007797015,0.00038232954,0.000073734715,0.001128416,0.0002141221],"domain_scores_gemma":[0.9989146,0.00019641976,0.000080247184,0.00014446012,0.0005990373,0.0000652234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015264858,0.00009712199,0.00015691687,0.00018876058,0.00018201515,0.00012664992,0.00067280064,0.000033716155,0.00003274434],"category_scores_gemma":[0.000078123696,0.000053807675,0.000054950233,0.0001246686,0.00013170477,0.0001790604,0.00012021353,0.0005196332,0.000002961111],"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":[0.00009454598,0.00003471804,0.0001275516,0.0000056425083,0.00021841802,0.0000068683053,0.0022283727,0.9860364,0.006933977,0.0016853678,0.000069600654,0.0025585142],"study_design_scores_gemma":[0.000877248,0.000103390594,0.00008356355,0.00017848243,0.000015962596,0.00013323537,0.001719326,0.9942147,0.0021525377,0.00031906375,0.00013751956,0.000064984495],"about_ca_topic_score_codex":0.000029192304,"about_ca_topic_score_gemma":0.000023992832,"teacher_disagreement_score":0.30197018,"about_ca_system_score_codex":0.00013712607,"about_ca_system_score_gemma":0.00007989801,"threshold_uncertainty_score":0.22575764},"labels":[],"label_agreement":null},{"id":"W2077754916","doi":"10.1177/0278364904046631","title":"C-space Entropy: A Measure for View Planning and Exploration for General Robot-Sensor Systems in Unknown Environments","year":2004,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","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":"Simon Fraser University","funders":"","keywords":"Motion planning; Robot; Kinematics; Entropy (arrow of time); Computer science; Configuration space; Measure (data warehouse); Ignorance; Mathematics; Mathematical optimization; Artificial intelligence; Physics; Data mining; Classical mechanics","score_opus":0.143072137371111,"score_gpt":0.3845045442694378,"score_spread":0.24143240689832682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077754916","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003651731,0.0013726163,0.98177224,0.0118853925,0.00080794614,0.00048506915,0.0000040275277,0.000006947178,0.000014004186],"genre_scores_gemma":[0.35643733,0.00030443113,0.6414743,0.00012490383,0.0010995169,0.000088144116,0.000008230889,0.00003533557,0.0004277691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975587,0.00018066009,0.00045899968,0.00020851393,0.0012578315,0.00033525788],"domain_scores_gemma":[0.99828035,0.00065141654,0.00024515146,0.0001962271,0.0005298066,0.00009703421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033161289,0.000118134674,0.00021222404,0.00035481006,0.00014752375,0.00037248275,0.001226869,0.0000619929,3.3550512e-7],"category_scores_gemma":[0.0005193937,0.00008737926,0.000066718894,0.00017588404,0.000074872565,0.00049910264,0.00018345343,0.0003516047,0.0000025299676],"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":[0.00009047534,0.00006925362,0.00014732308,0.000017284188,0.00007661642,0.000047010377,0.001155418,0.96016455,0.0061980933,0.030369561,0.00014295171,0.0015214938],"study_design_scores_gemma":[0.0036403993,0.0006158878,0.0008403866,0.0007586342,0.000017495824,0.00041588573,0.00044033982,0.97135115,0.0017034172,0.017631361,0.0023757184,0.00020933409],"about_ca_topic_score_codex":0.000025882991,"about_ca_topic_score_gemma":0.0000025079364,"teacher_disagreement_score":0.35278562,"about_ca_system_score_codex":0.0003864743,"about_ca_system_score_gemma":0.00020861466,"threshold_uncertainty_score":0.359186},"labels":[],"label_agreement":null},{"id":"W2079965877","doi":"10.1177/02783640122068146","title":"Uncertainty Singularity Analysis of Parallel Manipulators Based on the Instability Analysis of Structures","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Revolute joint; Singularity; Parallelogram; Kinematics; Mathematics; Gravitational singularity; Parallel manipulator; Instability; Mathematical analysis; Infinitesimal; Control theory (sociology); Constraint (computer-aided design); Geometry; Computer science; Classical mechanics; Hinge; Physics; Artificial intelligence; Mechanics","score_opus":0.07256370814301555,"score_gpt":0.3469729340779474,"score_spread":0.27440922593493183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079965877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6054643,0.00005581896,0.3922824,0.0012990158,0.00022506923,0.00010808051,0.000028839204,0.0000071415734,0.0005293454],"genre_scores_gemma":[0.9925326,0.00007527359,0.00728022,0.000034272496,0.000042065254,8.5415024e-7,0.000010135908,0.000009383567,0.000015213931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970062,0.00023585108,0.0006455299,0.00010240014,0.0018206199,0.00018943624],"domain_scores_gemma":[0.99682873,0.0012167483,0.00022950649,0.00042277673,0.0012385607,0.00006365634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002859279,0.00010983565,0.0004026693,0.0011830683,0.000068292415,0.000051197316,0.0011099037,0.000065128355,0.00021858186],"category_scores_gemma":[0.00051937887,0.00006286123,0.0004562628,0.0019845213,0.0001678333,0.000049695594,0.00008251863,0.0005089016,5.17682e-7],"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":[0.00012123869,0.00007026397,0.0069992393,0.000006568691,0.0047480515,0.000009053502,0.00013610728,0.95113736,0.00030501827,0.03609814,0.00002646346,0.00034250272],"study_design_scores_gemma":[0.00015380632,0.0000568873,0.034889944,0.00001561674,0.00078482064,0.000002342275,0.00018825752,0.9563164,0.000088773675,0.007438656,0.000012316512,0.00005216138],"about_ca_topic_score_codex":0.00018936966,"about_ca_topic_score_gemma":0.00030604552,"teacher_disagreement_score":0.38706827,"about_ca_system_score_codex":0.00020398982,"about_ca_system_score_gemma":0.000088130015,"threshold_uncertainty_score":0.25634065},"labels":[],"label_agreement":null},{"id":"W2087027772","doi":"10.1177/0278364913478897","title":"The Canadian planetary emulation terrain 3D mapping dataset","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Space Agency; Institute for Christian Studies; University of Toronto","funders":"","keywords":"Terrain; Emulation; Scripting language; Computer science; Robotics; Artificial intelligence; Field (mathematics); Panning (audio); Robot; Computer vision; Computer graphics (images); Engineering; Cartography; Geography; Programming language","score_opus":0.05919476706959579,"score_gpt":0.311463517561405,"score_spread":0.2522687504918092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087027772","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21776053,0.0051734713,0.43309963,0.29233626,0.019923778,0.003607267,0.0010708702,0.00020461247,0.026823582],"genre_scores_gemma":[0.99662274,0.0002424041,0.0020869814,0.00017207283,0.0005289204,0.0000024090843,0.00019212265,0.000019121253,0.00013325241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828637,0.00010929789,0.000327931,0.000057886908,0.00095238537,0.00026611838],"domain_scores_gemma":[0.9985336,0.0004207501,0.000058130136,0.0001812432,0.0006801942,0.00012607167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013083247,0.00007399727,0.0000762694,0.00027146697,0.00031418115,0.0004544703,0.0008393746,0.000048472513,0.00009023642],"category_scores_gemma":[0.00019295003,0.000045265297,0.000032077947,0.00015312749,0.00008984439,0.0001689752,0.000046965877,0.00050627865,0.00010160026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056203603,0.0000051671373,0.000276436,0.000003256871,0.000086175554,0.000017584014,0.00016450477,0.9372266,0.00029849156,0.0008929091,0.055607047,0.0054162075],"study_design_scores_gemma":[0.00016044581,0.000023474679,0.00330582,0.000036066816,0.000004692802,0.00006911492,0.00020576853,0.9510424,0.000074254815,0.0017954633,0.043214023,0.00006846775],"about_ca_topic_score_codex":0.009455094,"about_ca_topic_score_gemma":0.020359518,"teacher_disagreement_score":0.7788622,"about_ca_system_score_codex":0.0003061166,"about_ca_system_score_gemma":0.00015534052,"threshold_uncertainty_score":0.9975164},"labels":[],"label_agreement":null},{"id":"W2089807701","doi":"10.1177/0278364906072769","title":"A Generative Model of Terrain for Autonomous Navigation in Vegetation","year":2006,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental 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":"Université de Montréal","funders":"","keywords":"Terrain; Computer science; Obstacle; Vegetation (pathology); Probabilistic logic; Artificial intelligence; Generative model; Remote sensing; Computer vision; Geography; Generative grammar; Cartography","score_opus":0.05862600515896502,"score_gpt":0.36531316964210764,"score_spread":0.3066871644831426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089807701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77321386,0.00003186668,0.21635325,0.0071928245,0.00009114564,0.0002332366,0.0000045225056,0.0000026102862,0.0028766894],"genre_scores_gemma":[0.96927726,0.000006625074,0.03031247,0.000022145732,0.000089321125,0.0000019723152,0.0000050808226,0.000005305524,0.00027981508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988451,0.00006807322,0.00030195006,0.000068015754,0.0006167501,0.00010013078],"domain_scores_gemma":[0.9992894,0.0002036334,0.00015366953,0.0000796512,0.00025555544,0.000018114877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013342323,0.000039219485,0.00006948477,0.00010109294,0.000052552434,0.000028943781,0.00033771238,0.000026045243,0.000006058824],"category_scores_gemma":[0.00008899043,0.000028661761,0.000044134158,0.00013551333,0.00013561572,0.00008868753,0.000050463634,0.00016342699,0.0000052874093],"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":[0.000030901134,0.0000610685,0.00029337144,0.0000017830286,0.000007496058,9.3433937e-7,0.0005344408,0.92287475,0.0690163,0.0034879795,0.00049579295,0.0031951822],"study_design_scores_gemma":[0.00031271696,0.000051012994,0.002995022,0.000030363193,0.000003671224,0.000014319558,0.00010362206,0.92029065,0.014860323,0.061140463,0.00016387537,0.00003398115],"about_ca_topic_score_codex":0.00026391362,"about_ca_topic_score_gemma":0.00017725669,"teacher_disagreement_score":0.19606341,"about_ca_system_score_codex":0.0002488502,"about_ca_system_score_gemma":0.000059297057,"threshold_uncertainty_score":0.11687927},"labels":[],"label_agreement":null},{"id":"W2090125982","doi":"10.1177/0278364909345289","title":"Biomechanically Optimized Distributed Tactile Transducer Based on Lateral Skin Deformation","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Tactile and Sensory Interactions","field":"Neuroscience","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":"McGill University","funders":"McGill University","keywords":"Actuator; Transducer; Tactile sensor; Modular design; Bimorph; Computer science; Acoustics; Cantilever; Rendering (computer graphics); Smart transducer; Engineering; Computer vision; Artificial intelligence; Robot; Structural engineering","score_opus":0.09348757832693896,"score_gpt":0.38965608394875784,"score_spread":0.29616850562181884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090125982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62262213,0.000013324348,0.13975507,0.21781442,0.005161499,0.00083665666,0.00023425785,0.00008446148,0.013478212],"genre_scores_gemma":[0.99794406,0.000038611182,0.00059071195,0.00088906026,0.00027743084,0.0000016952902,0.000006832952,0.000008529267,0.00024307048],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99728286,0.00030206083,0.00040783055,0.00013135665,0.0016289945,0.00024689105],"domain_scores_gemma":[0.9977214,0.00092128606,0.00025719334,0.00025092656,0.0007507884,0.000098445074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006308634,0.00009939947,0.00013925279,0.00038730993,0.00030944505,0.0004054784,0.0012479827,0.00005602806,0.0001882905],"category_scores_gemma":[0.0013138078,0.00006455851,0.00016617651,0.00018527596,0.00008623612,0.00042598197,0.000032731223,0.0007985067,0.00006915862],"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":[0.0037169494,0.0010876282,0.000015174314,0.0000043849595,0.000070250026,0.00035344853,0.0005293444,0.44714135,0.520931,0.0068437853,0.0052371016,0.014069589],"study_design_scores_gemma":[0.0025972994,0.0011379367,0.00088913384,0.00015404206,0.000022305898,0.0005120253,0.00013741138,0.37397018,0.60814434,0.0051587117,0.0070769545,0.00019963871],"about_ca_topic_score_codex":0.00001091017,"about_ca_topic_score_gemma":0.0000026658417,"teacher_disagreement_score":0.37532195,"about_ca_system_score_codex":0.00021794676,"about_ca_system_score_gemma":0.0001472819,"threshold_uncertainty_score":0.39100376},"labels":[],"label_agreement":null},{"id":"W2090689166","doi":"10.1177/0278364913486362","title":"Scale-free coordinates for multi-robot systems with bearing-only sensors","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Indoor and Outdoor Localization Technologies","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":"University of Winnipeg","funders":"","keywords":"Robot; Computer science; Generalized coordinates; Algorithm; Computer vision; Artificial intelligence; Mathematics","score_opus":0.06239625674339402,"score_gpt":0.32699012838124875,"score_spread":0.26459387163785475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090689166","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19194368,0.0009774655,0.7913093,0.010580907,0.002147436,0.0013050241,0.00003280244,0.00026033967,0.0014430439],"genre_scores_gemma":[0.9843115,0.00014047523,0.014184009,0.000017973478,0.0002563962,0.000020379295,0.000002731646,0.00003747559,0.0010290302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839824,0.000044209333,0.0003365697,0.00008352539,0.0008527115,0.00028475843],"domain_scores_gemma":[0.9969336,0.00037329178,0.00008379624,0.00022885454,0.0023201692,0.000060289192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080082647,0.00010827754,0.00016585196,0.00034259804,0.000110070374,0.00028831558,0.0013548364,0.00007591899,0.000017861199],"category_scores_gemma":[0.00038008793,0.00006027234,0.000064437816,0.00019713037,0.00017249581,0.00019598374,0.00013361049,0.00046062208,0.000025674944],"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":[0.000052819138,0.000040892402,0.0017264683,0.0000444808,0.0002661565,0.0000145285885,0.00021901488,0.9807434,0.0017643532,0.0028063029,0.009466229,0.0028553307],"study_design_scores_gemma":[0.002169645,0.00034301562,0.0020460933,0.0003101997,0.0000293688,0.00053779373,0.0025142906,0.9676986,0.019147923,0.002694324,0.0022565124,0.00025223102],"about_ca_topic_score_codex":0.00006389419,"about_ca_topic_score_gemma":0.000024644096,"teacher_disagreement_score":0.7923679,"about_ca_system_score_codex":0.00016602522,"about_ca_system_score_gemma":0.00006773825,"threshold_uncertainty_score":0.2780234},"labels":[],"label_agreement":null},{"id":"W2091094332","doi":"10.1177/0278364911425836","title":"An autonomous six-DOF eye-in-hand system for in situ 3D object modeling","year":2011,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":"Simon Fraser University","funders":"","keywords":"Object (grammar); Computer vision; Computer science; Path (computing); Artificial intelligence; Workspace; A priori and a posteriori; Reachability; Motion planning; Robotic arm; Bounding overwatch; Observer (physics); Object model; Robot; Algorithm","score_opus":0.08980921613285292,"score_gpt":0.34643316570462246,"score_spread":0.25662394957176954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091094332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47305003,0.00023640452,0.52392185,0.00028725096,0.0007736838,0.0002727538,0.000005047619,0.000020586718,0.0014323737],"genre_scores_gemma":[0.99113095,0.00006889148,0.008428678,0.000010599686,0.00029899922,0.000004681692,0.0000036709077,0.0000283799,0.000025130466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840224,0.00009757985,0.00051437155,0.000096619566,0.00062784815,0.00026133689],"domain_scores_gemma":[0.9988435,0.00016041263,0.0000613365,0.00014808195,0.0007176036,0.00006910379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018972396,0.000093534014,0.00016804843,0.0005488816,0.000052785872,0.00011380909,0.0006609107,0.000066820634,0.0000073757883],"category_scores_gemma":[0.0000990589,0.00007420758,0.000057724883,0.00017631748,0.000038119222,0.00018880992,0.000035753415,0.00040649722,0.000004897549],"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":[0.00011201628,0.00006190666,0.00033026302,0.000025186171,0.000039890514,0.00004147205,0.0010663348,0.989013,0.0058469633,0.0024704656,0.000014109643,0.0009783995],"study_design_scores_gemma":[0.00057912956,0.000100518024,0.00027368552,0.00014808662,0.0000057921625,0.000027735792,0.00059030147,0.99360335,0.0040516173,0.00052423234,0.000019499957,0.000076048505],"about_ca_topic_score_codex":0.00008150023,"about_ca_topic_score_gemma":0.00028806258,"teacher_disagreement_score":0.51808095,"about_ca_system_score_codex":0.00048407502,"about_ca_system_score_gemma":0.00010813831,"threshold_uncertainty_score":0.3026097},"labels":[],"label_agreement":null},{"id":"W2107822772","doi":"10.1177/0278364908096955","title":"Model-based Decentralized Control of Time-delay Teleoperation Systems","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"McMaster University","funders":"","keywords":"Teleoperation; Control theory (sociology); Robustness (evolution); Computer science; Control engineering; Engineering; Control (management)","score_opus":0.04672838201967927,"score_gpt":0.3302445992792483,"score_spread":0.28351621725956905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107822772","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06188656,0.0012702647,0.9285913,0.0041743815,0.0010871484,0.00040491443,0.0000162684,0.000040623887,0.002528531],"genre_scores_gemma":[0.9984158,0.000103052735,0.0009773596,0.00006244432,0.00020219055,0.0000020024129,0.0000028316783,0.000011874604,0.00022240324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978102,0.00014710656,0.0005740059,0.00005841411,0.0012382291,0.00017206946],"domain_scores_gemma":[0.99777925,0.00024238203,0.000105849205,0.00014283447,0.0016563918,0.00007330115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016704379,0.000083403356,0.0002029916,0.0002620406,0.000050109724,0.00013973963,0.0005921701,0.000055229026,0.000038384685],"category_scores_gemma":[0.00016203543,0.00005733453,0.00008330946,0.0001332397,0.00004699356,0.00012552993,0.000009777824,0.0002917715,0.0000237261],"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":[0.00008470229,0.000040913063,0.000047383965,0.0000072726016,0.00008719623,0.000008941618,0.00015133488,0.964992,0.028151283,0.004014549,0.001864077,0.0005503591],"study_design_scores_gemma":[0.0009888237,0.000085457665,0.000061014558,0.00008255316,0.00001101666,0.00005323821,0.000060384285,0.9961892,0.0019067763,0.00013683316,0.00037108478,0.000053612053],"about_ca_topic_score_codex":0.0000098996625,"about_ca_topic_score_gemma":0.000002885036,"teacher_disagreement_score":0.9365293,"about_ca_system_score_codex":0.00015532075,"about_ca_system_score_gemma":0.00016029892,"threshold_uncertainty_score":0.23380344},"labels":[],"label_agreement":null},{"id":"W2107949070","doi":"10.1177/0278364903022001004","title":"Contact Stiffness and Damping Estimation for Robotic Systems","year":2003,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":188,"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":"Control theory (sociology); Controller (irrigation); Contact force; Stiffness; Control engineering; Benchmark (surveying); Robot; Contact dynamics; SIGNAL (programming language); Electrical impedance; Stability (learning theory); Engineering; Impedance control; Computer science; System identification; Adaptive control; Simulation; Artificial intelligence; Mathematics; Control (management); Data modeling","score_opus":0.10752925808702629,"score_gpt":0.37504310900599214,"score_spread":0.26751385091896585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107949070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030802002,0.0008893787,0.9647765,0.0008392802,0.0016126274,0.00023319875,4.0901563e-7,0.000020486867,0.0008260919],"genre_scores_gemma":[0.99680465,0.00009178978,0.0027421806,0.000012569772,0.00016951472,0.000003998499,0.0000017916547,0.000017522761,0.00015597108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988045,0.000108998065,0.00029532958,0.000058085865,0.0005760933,0.00015699942],"domain_scores_gemma":[0.9983865,0.000713779,0.000076827535,0.000076922355,0.0006892742,0.000056665296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016371546,0.00006634953,0.00012018122,0.00022028439,0.00010757548,0.00024743043,0.0002647246,0.000036097837,0.000010574953],"category_scores_gemma":[0.00067330024,0.00004963758,0.000038031118,0.00009983198,0.00003175718,0.0001683216,0.000020807873,0.0003229525,0.0000049894243],"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":[0.000019026766,0.000007729117,0.00011682372,0.00002669443,0.000074997275,0.0000045481547,0.00020138762,0.9686967,0.0011746434,0.028282523,0.00038771282,0.001007209],"study_design_scores_gemma":[0.0004481743,0.000031613752,0.0011288256,0.00011098158,0.0000101621235,0.00014496049,0.00036677322,0.9955797,0.00013897769,0.0010742649,0.0009082656,0.00005729128],"about_ca_topic_score_codex":0.0000056419726,"about_ca_topic_score_gemma":0.0000019043946,"teacher_disagreement_score":0.96600264,"about_ca_system_score_codex":0.0001245902,"about_ca_system_score_gemma":0.00004867171,"threshold_uncertainty_score":0.23859775},"labels":[],"label_agreement":null},{"id":"W2111451384","doi":"10.1177/0278364909348805","title":"On the Design and Use of a Micro Air Vehicle to Track and Avoid Adversaries","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":44,"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":"Army Research Office; Division of Information and Intelligent Systems; Natural Sciences and Engineering Research Council of Canada; Air Force Office of Scientific Research; Boeing; National Science Foundation","keywords":"Payload (computing); Micro air vehicle; Track (disk drive); Computer science; Drone; Real-time computing; Artificial intelligence; Simulation; Aerospace engineering; Engineering; Computer security; Aerodynamics","score_opus":0.12743892453567485,"score_gpt":0.36352251697974003,"score_spread":0.23608359244406518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111451384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19189629,0.00017941845,0.71648407,0.09093491,0.00022375525,0.00021200487,0.000002204444,0.00000792248,0.000059419646],"genre_scores_gemma":[0.80363446,0.00007679326,0.19514152,0.00091827963,0.00007461158,7.6748205e-7,1.05875635e-7,0.0000046419063,0.00014878983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811137,0.00031795475,0.00024262758,0.00011309222,0.0010421079,0.00017284957],"domain_scores_gemma":[0.99583024,0.0030400574,0.0001141787,0.00020958728,0.00072184065,0.000084095074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026076126,0.00007031706,0.00011418052,0.00021476934,0.00012439355,0.00023344977,0.0012678034,0.000027352118,0.0000017077753],"category_scores_gemma":[0.0011111255,0.00003940248,0.00003071475,0.00020576865,0.00015159756,0.00023831984,0.00021748879,0.00040559,0.000004188055],"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":[0.00048262737,0.00021893138,0.0004129139,0.0000068219374,0.00018359872,0.00022458783,0.0068034753,0.8687408,0.0220188,0.064721204,0.012450914,0.023735313],"study_design_scores_gemma":[0.0013988663,0.0031793383,0.041294225,0.0006509047,0.00002285396,0.0010968191,0.0005219487,0.8468757,0.035080127,0.068752356,0.00084187917,0.00028496547],"about_ca_topic_score_codex":0.000012956913,"about_ca_topic_score_gemma":5.194659e-7,"teacher_disagreement_score":0.6117382,"about_ca_system_score_codex":0.000048467275,"about_ca_system_score_gemma":0.00011428795,"threshold_uncertainty_score":0.23559152},"labels":[],"label_agreement":null},{"id":"W2117927826","doi":"10.1177/0278364911417911","title":"Optimal path planning for surveillance with temporal-logic constraints","year":2011,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":202,"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":"Office of Naval Research","keywords":"Linear temporal logic; Automaton; Computer science; Robot; Motion planning; Path (computing); Temporal logic; Graph; Function (biology); Upload; Finite-state machine; Mathematical optimization; Real-time computing; Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Programming language","score_opus":0.18890767408638054,"score_gpt":0.39012736863314196,"score_spread":0.20121969454676142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117927826","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006139626,0.00011796513,0.98892885,0.002881418,0.00065543124,0.00016891539,0.0000057894167,0.000019842697,0.0010821397],"genre_scores_gemma":[0.47202006,0.000010899808,0.52757126,0.00007937354,0.00019582802,0.000004067541,0.0000013473749,0.000009293632,0.000107879474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99728787,0.00019969272,0.00039353437,0.00019429212,0.0015418223,0.00038276974],"domain_scores_gemma":[0.9961303,0.00094098976,0.0003135694,0.00029831065,0.00219485,0.00012199409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004320728,0.00011782325,0.00019109112,0.0002791613,0.0001687695,0.00022682118,0.0033237166,0.00004859812,0.000011632853],"category_scores_gemma":[0.00048105756,0.000071097245,0.00007538258,0.0002621922,0.00034373577,0.0003031528,0.0002924378,0.0005432904,0.000009998062],"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":[0.0013678316,0.0006829883,0.04047302,0.00004140087,0.0012034898,0.0037421566,0.012243563,0.7811383,0.0009776205,0.12338865,0.016168553,0.018572444],"study_design_scores_gemma":[0.004931234,0.004511648,0.029496225,0.000873327,0.00002810284,0.0076439604,0.002218018,0.9128012,0.002761351,0.03201491,0.0019392081,0.0007807828],"about_ca_topic_score_codex":0.000016116026,"about_ca_topic_score_gemma":5.479635e-7,"teacher_disagreement_score":0.46588045,"about_ca_system_score_codex":0.00010437061,"about_ca_system_score_gemma":0.00043715723,"threshold_uncertainty_score":0.6176348},"labels":[],"label_agreement":null},{"id":"W2118516644","doi":"10.1177/0278364907081234","title":"Randomized Algorithms for Minimum Distance Localization","year":2007,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visibility; Robot; Mobile robot; Computer science; Computer vision; Randomized algorithm; Artificial intelligence; Algorithm; Geography","score_opus":0.06769751147505591,"score_gpt":0.3732269499479815,"score_spread":0.3055294384729256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118516644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016012857,0.00038824286,0.99443233,0.001334205,0.0012893898,0.00026352928,0.000004640112,0.000015691841,0.0006706993],"genre_scores_gemma":[0.9832303,0.0005819006,0.014577207,0.00009854862,0.0010920676,0.000005228367,0.000016721724,0.00004064322,0.0003574057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979099,0.0000919682,0.0005856173,0.00007437458,0.0010866851,0.00025142528],"domain_scores_gemma":[0.996133,0.0015929556,0.000113649716,0.0001206116,0.001962144,0.00007758232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005429459,0.00008975791,0.00021073138,0.0002937621,0.000096999094,0.00012136775,0.00056922185,0.000060344813,0.000013889614],"category_scores_gemma":[0.00078455335,0.00006199183,0.00013916727,0.00022333353,0.0001521417,0.00010609658,0.000031595355,0.00027723145,0.000005642989],"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":[0.003795052,0.000031120384,0.00002315982,0.000014820641,0.00015523915,0.000014862972,0.00021881978,0.9721656,0.0004970853,0.017137837,0.0028654172,0.003080981],"study_design_scores_gemma":[0.015498232,0.00004567357,0.000013553862,0.000058964986,0.000019242361,0.000029203919,0.00015445273,0.9694241,0.0029534695,0.0072515924,0.004473854,0.000077639765],"about_ca_topic_score_codex":0.0000053229264,"about_ca_topic_score_gemma":0.0000121765415,"teacher_disagreement_score":0.981629,"about_ca_system_score_codex":0.00019916469,"about_ca_system_score_gemma":0.00005660613,"threshold_uncertainty_score":0.25279534},"labels":[],"label_agreement":null},{"id":"W2119026135","doi":"10.1177/0278364910397621","title":"Biologically inspired collective comparisons by robotic swarms","year":2011,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Distributed Control Multi-Agent Systems","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":"University of Alberta; University of British Columbia","funders":"","keywords":"Stigmergy; Swarm robotics; Robot; Implementation; Computer science; Swarm behaviour; Artificial intelligence; Autonomous system (mathematics); Mobile robot; Human–computer interaction","score_opus":0.19540501740468738,"score_gpt":0.3673123335716116,"score_spread":0.1719073161669242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119026135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055166893,0.00037648302,0.97753334,0.010123447,0.0015924816,0.00028667875,0.0000120414115,0.000033692242,0.0045251306],"genre_scores_gemma":[0.983226,0.000057557896,0.015661474,0.00018631757,0.00017907233,0.0000075231405,0.0000028182676,0.000009513114,0.0006697379],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963233,0.00061563315,0.0006256261,0.00021303522,0.0018200886,0.00040235586],"domain_scores_gemma":[0.9956235,0.00077249634,0.00038530177,0.00037998694,0.0026679933,0.00017070597],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0030394467,0.00013374846,0.00027234937,0.00031754767,0.00019659584,0.0003332351,0.005681955,0.00007843278,0.000038620958],"category_scores_gemma":[0.0007667829,0.0000837629,0.00014526003,0.0005529541,0.00023713184,0.00033225634,0.00064915995,0.0007384335,0.000096927426],"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":[0.0017668054,0.0049614883,0.026171261,0.00002891522,0.0047857943,0.0014457613,0.011496055,0.120559596,0.041241508,0.29953712,0.4731659,0.014839794],"study_design_scores_gemma":[0.010779001,0.004450278,0.052322343,0.0005933091,0.00012300216,0.002085581,0.0027152246,0.8106699,0.021336535,0.06959835,0.023922907,0.0014035685],"about_ca_topic_score_codex":0.00011755338,"about_ca_topic_score_gemma":0.000012009387,"teacher_disagreement_score":0.9777093,"about_ca_system_score_codex":0.0004282073,"about_ca_system_score_gemma":0.00046023823,"threshold_uncertainty_score":0.9996978},"labels":[],"label_agreement":null},{"id":"W2120461516","doi":"10.1177/0278364908098560","title":"Sensor-based Behavior Control for an Autonomous Underwater Vehicle","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Underwater Vehicles and Communication Systems","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underwater; Computer vision; Computer science; Artificial intelligence; Orientation (vector space); Robot; Set (abstract data type)","score_opus":0.1043313210640169,"score_gpt":0.3722376710575015,"score_spread":0.2679063499934846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120461516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4021035,0.00035998112,0.5739007,0.021418672,0.0005724124,0.0007438874,0.000028773045,0.00009173964,0.00078033283],"genre_scores_gemma":[0.9952121,0.00002018294,0.0040796613,0.00022796329,0.00031217892,0.000009225473,0.000004121215,0.000017241013,0.00011734894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855995,0.00012955611,0.00036495813,0.000065394364,0.00066600495,0.000214145],"domain_scores_gemma":[0.9984471,0.00026882187,0.00006747981,0.00023132408,0.00089962996,0.00008563884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013614424,0.000079375146,0.00012935026,0.00017969642,0.000103039245,0.00021343555,0.0010846277,0.000049134753,0.000013736199],"category_scores_gemma":[0.000012528246,0.000055056214,0.00009384899,0.00007447476,0.000050353017,0.00014206684,0.000021180509,0.00034344388,0.000010768801],"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":[0.00027286107,0.00032124863,0.00060822605,0.000010864164,0.00019096458,0.00002606646,0.00055433565,0.7986795,0.17364933,0.0016865649,0.0012059148,0.02279413],"study_design_scores_gemma":[0.0048148297,0.0014877019,0.003984208,0.00011459538,0.00006988357,0.00023203876,0.0009986932,0.8993838,0.056542076,0.0067658653,0.025267735,0.00033860686],"about_ca_topic_score_codex":0.000011869326,"about_ca_topic_score_gemma":0.0000071142777,"teacher_disagreement_score":0.5931086,"about_ca_system_score_codex":0.00017979184,"about_ca_system_score_gemma":0.00007352473,"threshold_uncertainty_score":0.22451273},"labels":[],"label_agreement":null},{"id":"W2124685884","doi":"10.1177/0278364905055594","title":"Fundamental Principles and Issues of High-speed Piezoactuated Three-legged Motion for Miniature Robots Designed for Nanometer-scale Operations","year":2005,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Dynamics and Control of Mechanical Systems","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":"Polytechnique Montréal","funders":"Massachusetts Institute of Technology","keywords":"Robot; Nanometre; Scale (ratio); Throughput; Range (aeronautics); Computer science; Position (finance); Control engineering; Simulation; Engineering; Wireless; Aerospace engineering; Artificial intelligence; Physics; Telecommunications","score_opus":0.05721237697151705,"score_gpt":0.3311789298782818,"score_spread":0.27396655290676475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124685884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50626606,0.0006889758,0.4830587,0.00855179,0.00057496707,0.000716373,0.00008284118,0.000014199327,0.000046091773],"genre_scores_gemma":[0.96932113,0.00010429921,0.029839233,0.000016643484,0.00045830922,0.000012856609,0.000013177372,0.000019907875,0.00021444968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866414,0.000045053574,0.00045413483,0.00008578871,0.00057165255,0.00017925407],"domain_scores_gemma":[0.998431,0.00038923087,0.000087294386,0.000098388475,0.00092906127,0.00006500305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012997716,0.00009094885,0.00020737608,0.00016906702,0.000090629204,0.00012815182,0.0004468811,0.00006761691,0.000009908746],"category_scores_gemma":[0.00015824416,0.000064699685,0.00009553517,0.00007957802,0.000046819434,0.00014847929,0.000052720665,0.0001836346,0.0000010724267],"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":[0.0002764085,0.00009595942,0.000054029093,0.000032330354,0.0003416244,0.0000010057524,0.00022851497,0.8801735,0.101287454,0.009915273,0.00026271117,0.0073311646],"study_design_scores_gemma":[0.0016393984,0.00034073158,0.0006741727,0.0000894497,0.000032089483,0.000023078737,0.00013661037,0.9878797,0.0067004766,0.0017084526,0.00069034664,0.00008548982],"about_ca_topic_score_codex":0.000021936383,"about_ca_topic_score_gemma":0.00022792083,"teacher_disagreement_score":0.46305504,"about_ca_system_score_codex":0.00015498805,"about_ca_system_score_gemma":0.000040952316,"threshold_uncertainty_score":0.26383764},"labels":[],"label_agreement":null},{"id":"W2128889464","doi":"10.1177/0278364908092466","title":"Self-Motions of General 3- <i> <u>R</u> PR </i> Planar Parallel Robots","year":2008,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","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":"École de Technologie Supérieure","funders":"","keywords":"SCARA; Kinematics; Workspace; Parallel manipulator; Singularity; Inverse kinematics; Gravitational singularity; Robot; Planar; Degeneracy (biology); Robot kinematics; Computer science; Control theory (sociology); Mathematics; Topology (electrical circuits); Geometry; Artificial intelligence; Mathematical analysis; Physics; Classical mechanics; Mobile robot; Combinatorics; Computer graphics (images)","score_opus":0.05733229307476896,"score_gpt":0.31684295873012924,"score_spread":0.2595106656553603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128889464","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047619853,0.0007417991,0.9374548,0.0037175405,0.0022317688,0.00025549234,0.000019902542,0.000060509366,0.007898337],"genre_scores_gemma":[0.3897345,0.0045702215,0.60320693,0.00008615067,0.0010777405,0.0000047702506,0.000009736137,0.00006083892,0.0012490787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977227,0.00008158717,0.0004950288,0.000075474425,0.0013755003,0.00024973231],"domain_scores_gemma":[0.9984141,0.0002036889,0.0001119582,0.00019817626,0.000968178,0.000103918304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090641406,0.00010161183,0.00019207125,0.000278344,0.00010410241,0.0000353398,0.0010246495,0.00006474028,0.000036603673],"category_scores_gemma":[0.000097033735,0.00007346044,0.0001229606,0.00020230576,0.000103528684,0.00012650585,0.00008189151,0.0005666212,0.00001898972],"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":[0.000021451897,0.00008078209,0.00015950535,0.000012741407,0.00021584588,0.00009754435,0.00029152364,0.9533209,0.0017252995,0.039529707,0.0043771258,0.00016753326],"study_design_scores_gemma":[0.0012011086,0.00029520676,0.0018889944,0.00011330294,0.00003907497,0.0019939246,0.00017850968,0.97303915,0.0013042302,0.018315954,0.0014048887,0.00022567368],"about_ca_topic_score_codex":0.000019145005,"about_ca_topic_score_gemma":0.000009959726,"teacher_disagreement_score":0.34211466,"about_ca_system_score_codex":0.00014169012,"about_ca_system_score_gemma":0.00015478561,"threshold_uncertainty_score":0.299563},"labels":[],"label_agreement":null},{"id":"W2129091674","doi":"10.1177/0278364910369190","title":"Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation","year":2010,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":157,"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":"Office of Naval Research; Multidisciplinary University Research Initiative; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Point cloud; Computer science; Domain (mathematical analysis); Object (grammar); Artificial intelligence; Adaptation (eye); Cognitive neuroscience of visual object recognition; Domain adaptation; Robot; Field (mathematics); Robotics; Point (geometry); Computer vision; Data set; Object detection; Set (abstract data type); Machine learning; Data mining; Pattern recognition (psychology)","score_opus":0.13048181243407433,"score_gpt":0.3624452842621493,"score_spread":0.23196347182807495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129091674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89103115,0.00012866636,0.10606231,0.0012300342,0.001056539,0.00011996185,0.00001978136,0.0000109818,0.00034058432],"genre_scores_gemma":[0.9690511,0.0003389633,0.030145062,0.000024681625,0.00038922226,5.409703e-7,0.000024239967,0.000018763914,0.000007385186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985289,0.00011403281,0.00035791044,0.000094751544,0.0007415702,0.00016285427],"domain_scores_gemma":[0.99879915,0.00030935142,0.00007275501,0.00019129063,0.0005716664,0.000055818364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025696845,0.000073455194,0.00010346334,0.00036688807,0.000058137117,0.0001506917,0.0005574819,0.00006385976,0.00002275267],"category_scores_gemma":[0.00037356495,0.0000583141,0.000021029477,0.00020603828,0.000080288,0.00026706365,0.00012405509,0.00073110755,0.0000051240336],"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":[0.00006531948,0.000037326816,0.00079326396,0.000012028499,0.000055081004,0.000046614023,0.00049379515,0.947285,0.043457244,0.0005927963,0.00017861645,0.006982905],"study_design_scores_gemma":[0.0004416777,0.00003237821,0.0007444893,0.000073166135,0.0000072106336,0.0001612512,0.0003856448,0.99293154,0.0005483212,0.004399104,0.00020961008,0.00006559758],"about_ca_topic_score_codex":0.000045871348,"about_ca_topic_score_gemma":0.00031562863,"teacher_disagreement_score":0.07802,"about_ca_system_score_codex":0.00010307923,"about_ca_system_score_gemma":0.00012437893,"threshold_uncertainty_score":0.3176339},"labels":[],"label_agreement":null},{"id":"W2135051422","doi":"10.1177/0278364913500543","title":"Three-dimensional remote aggregation and steering of magnetotactic bacteria microrobots for drug delivery applications","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":105,"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; Polytechnique Montréal","funders":"","keywords":"Magnetotactic bacteria; Microscale chemistry; Nanorobotics; Computer science; Nanotechnology; Drug delivery; Magnetosome; Compass; Magnetic nanoparticles; Iron oxide nanoparticles; Targeted drug delivery; Biological system; Materials science; Artificial intelligence; Nanoparticle; Biology; Physics; Bacteria; Mathematics","score_opus":0.03313438754246263,"score_gpt":0.318121484309542,"score_spread":0.2849870967670794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135051422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8142248,0.000542828,0.17992008,0.003940009,0.00036755696,0.0007607874,0.00003287776,0.000004742766,0.00020632609],"genre_scores_gemma":[0.9612234,0.000047256537,0.037830736,0.000024655477,0.00051389943,0.000009170128,0.000012678853,0.000017156446,0.00032103783],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876374,0.000047897563,0.00040086953,0.00010276045,0.0004941168,0.00019063333],"domain_scores_gemma":[0.9969364,0.00059525494,0.0002764922,0.00014018292,0.0019789578,0.000072754345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079605257,0.00008612302,0.00014881005,0.00017212387,0.00011830231,0.00010436244,0.00046337067,0.000026188885,0.00013258908],"category_scores_gemma":[0.000029856961,0.000063724496,0.0000863461,0.00010548624,0.00011892525,0.00018444467,0.00015339974,0.00025363403,0.000011442234],"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":[0.00051426666,0.00055562035,0.008861781,0.0001342911,0.0012976227,0.0000049184146,0.00077165547,0.049326118,0.54338825,0.0259001,0.012943669,0.3563017],"study_design_scores_gemma":[0.00911412,0.0010342386,0.03373359,0.0014777168,0.00042590656,0.00030919228,0.0019658683,0.33310255,0.2578766,0.34826177,0.011532702,0.0011657171],"about_ca_topic_score_codex":0.0003512163,"about_ca_topic_score_gemma":0.000019510046,"teacher_disagreement_score":0.35513598,"about_ca_system_score_codex":0.00005353429,"about_ca_system_score_gemma":0.00015851023,"threshold_uncertainty_score":0.25986096},"labels":[],"label_agreement":null},{"id":"W2137794107","doi":"10.1177/027836402761412458","title":"Acquisition of Elastic Models for Interactive Simulation","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"3D Shape Modeling and Analysis","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":"University of British Columbia","funders":"","keywords":"Computer science; Robustness (evolution); Regularization (linguistics); Artificial intelligence; Computer vision; Representation (politics); Algorithm","score_opus":0.12730694420853889,"score_gpt":0.3801091141116595,"score_spread":0.2528021699031206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137794107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033181835,0.0002703492,0.96491015,0.00078979373,0.00026314473,0.000058970058,0.000007706072,0.000007341024,0.0005107207],"genre_scores_gemma":[0.9972288,0.00015459851,0.0022403882,0.000010560864,0.00024299437,0.0000015497785,0.0000020362568,0.000011411548,0.00010762959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884284,0.000039973293,0.000305242,0.000045292523,0.0006589199,0.00010773705],"domain_scores_gemma":[0.99746025,0.00079658785,0.00008255065,0.00007649906,0.0015539107,0.000030223062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067376054,0.000050457045,0.00010835425,0.00029785783,0.00003818259,0.00004165875,0.00037074933,0.000029420142,0.00004610223],"category_scores_gemma":[0.00016795562,0.000036812664,0.00010745233,0.00012218078,0.000034558354,0.00017718035,0.000029345116,0.00022574629,0.0000057210827],"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":[0.000040609764,0.00003101916,0.00000760931,0.000008589729,0.00018817822,0.0000017728624,0.00041255372,0.99461806,0.0010982625,0.00045879866,0.00038867397,0.002745866],"study_design_scores_gemma":[0.00022282236,0.00005608481,0.000010365261,0.000069154245,0.000020845058,0.0000069827474,0.00011983488,0.99040055,0.00088092283,0.008149674,0.000030671137,0.000032096235],"about_ca_topic_score_codex":0.0000033853728,"about_ca_topic_score_gemma":0.0000015076286,"teacher_disagreement_score":0.964047,"about_ca_system_score_codex":0.0001081144,"about_ca_system_score_gemma":0.000012107803,"threshold_uncertainty_score":0.1501177},"labels":[],"label_agreement":null},{"id":"W2138215666","doi":"10.1177/0278364911433135","title":"The Devon Island rover navigation dataset","year":2012,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Space Agency; National Institute of Standards and Technology; University of Toronto","keywords":"Traverse; Computer science; Global Positioning System; Ground truth; Computer vision; Artificial intelligence; Digital elevation model; Compass; Differential GPS; Remote sensing; Theodolite; Elevation (ballistics); Position (finance); Geology; Geodesy; Geography; Cartography; Engineering","score_opus":0.05717120739762911,"score_gpt":0.3583620595805279,"score_spread":0.3011908521828988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138215666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29608607,0.010287263,0.6280457,0.035569683,0.020974679,0.0010222517,0.0008186545,0.00009235058,0.00710337],"genre_scores_gemma":[0.99733466,0.0006622788,0.00057041564,0.00005549062,0.0010773392,0.000001277833,0.0001386118,0.00001906873,0.00014083051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981631,0.00011292735,0.00029196343,0.000041383148,0.0011415876,0.00024904122],"domain_scores_gemma":[0.99851656,0.00057119154,0.000068397705,0.00017003245,0.0005982655,0.00007557682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021942,0.00006797159,0.00007102603,0.000099482386,0.00017042363,0.0001987815,0.00069283886,0.00003920783,0.00003910418],"category_scores_gemma":[0.00021594769,0.00003831501,0.00004166623,0.00014448685,0.00008618564,0.00022689253,0.0000733167,0.00045470157,0.00004827552],"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":[0.00004429863,0.00003272908,0.000705575,0.0000062552594,0.0001353492,0.000008877743,0.00024661692,0.9017937,0.0013866028,0.0076527996,0.08516893,0.002818257],"study_design_scores_gemma":[0.0008742418,0.000119019176,0.0021372244,0.00014321189,0.000042366337,0.0003639201,0.000616839,0.6835864,0.006497846,0.004799257,0.30058634,0.00023334207],"about_ca_topic_score_codex":0.000018077142,"about_ca_topic_score_gemma":0.000024778992,"teacher_disagreement_score":0.70124865,"about_ca_system_score_codex":0.00015283475,"about_ca_system_score_gemma":0.000041424257,"threshold_uncertainty_score":0.19754773},"labels":[],"label_agreement":null},{"id":"W2142695785","doi":"10.1177/0278364909101231","title":"Haptic Effects of Surgical Teleoperator Flexibility","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","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":"University of Alberta","funders":"University of Pennsylvania; National Science Foundation","keywords":"Teleoperation; Haptic technology; Flexibility (engineering); Robot; Simulation; Transparency (behavior); Contact force; Computer science; Telerobotics; Engineering; Control theory (sociology); Artificial intelligence; Control (management); Mobile robot; Physics","score_opus":0.04533982395100892,"score_gpt":0.35790912366883976,"score_spread":0.3125692997178308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142695785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97762656,0.0013981566,0.007956234,0.0056371307,0.0020436684,0.0002769567,0.0000030792808,0.000035547626,0.0050226706],"genre_scores_gemma":[0.99855006,0.00023994308,0.0005365149,0.000027358126,0.00046072758,8.8059664e-7,5.2984717e-7,0.000007718262,0.00017624167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807674,0.00013259563,0.0004369286,0.00005933106,0.0011373269,0.00015708],"domain_scores_gemma":[0.99814004,0.0005627243,0.00005623991,0.00015612502,0.0010064009,0.000078490266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014999227,0.00007118971,0.00017314128,0.00018882779,0.00003982743,0.00007519287,0.0006534251,0.00004642345,0.000048560858],"category_scores_gemma":[0.0002703655,0.000046002548,0.00008879376,0.00015773709,0.000076342105,0.00009879085,0.000031524014,0.00040479095,0.000021904238],"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":[0.00045734106,0.0006465348,0.0011566909,0.00018812998,0.00086509425,0.00075478276,0.0027985324,0.69288665,0.17486131,0.07229326,0.016272377,0.03681931],"study_design_scores_gemma":[0.010041195,0.0034803934,0.027899262,0.001759344,0.0001237415,0.0038134975,0.0014344687,0.67845875,0.21948676,0.014111316,0.038456548,0.00093474175],"about_ca_topic_score_codex":0.000005924868,"about_ca_topic_score_gemma":0.0000030268288,"teacher_disagreement_score":0.05818194,"about_ca_system_score_codex":0.00011301746,"about_ca_system_score_gemma":0.0000833825,"threshold_uncertainty_score":0.18759295},"labels":[],"label_agreement":null},{"id":"W2145731088","doi":"10.1177/02783640122067264","title":"Singularity-Robust Trajectory Generation","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Mechanisms and Dynamics","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":"McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knot (papermaking); Kinematics; Singularity; Trajectory; Gravitational singularity; Mathematics; Path (computing); Control theory (sociology); Mathematical analysis; Computer science; Physics; Classical mechanics; Engineering; Artificial intelligence","score_opus":0.13292624999502767,"score_gpt":0.3419732384638619,"score_spread":0.20904698846883424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145731088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04622147,0.00038705248,0.9445986,0.0028626323,0.0024651913,0.00008652765,0.0000018975552,0.000024758436,0.0033518667],"genre_scores_gemma":[0.8637936,0.0020202994,0.12906867,0.00015716824,0.0036533293,0.0000028656534,0.000008529319,0.000056859586,0.0012386724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982465,0.00007639616,0.00030396218,0.0000617399,0.0011154541,0.00019593352],"domain_scores_gemma":[0.998773,0.0001578295,0.000050771465,0.00013937517,0.0008072135,0.00007185749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015481743,0.00007307044,0.00010194717,0.00023492216,0.000088890425,0.0001570328,0.0006936547,0.000053632906,0.000089445035],"category_scores_gemma":[0.00014972777,0.0000527054,0.00007155508,0.00016514334,0.00005414209,0.00013355397,0.00005656854,0.00055737916,0.000023570088],"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":[0.000015155395,0.000027256661,0.000050414863,0.000002578215,0.00007568893,0.00008480475,0.00011979162,0.97257334,0.007841579,0.013658505,0.002415691,0.0031352048],"study_design_scores_gemma":[0.00029520504,0.00006860259,0.00015982328,0.000032288965,0.000010049075,0.0004908825,0.00013178459,0.9905273,0.000614838,0.0061576283,0.0014304306,0.00008122302],"about_ca_topic_score_codex":0.0000080210375,"about_ca_topic_score_gemma":0.000027868635,"teacher_disagreement_score":0.8175721,"about_ca_system_score_codex":0.00020055579,"about_ca_system_score_gemma":0.000074078,"threshold_uncertainty_score":0.24215661},"labels":[],"label_agreement":null},{"id":"W2148090453","doi":"10.1177/02783640022066914","title":"Modeling and Dynamic Performance Evaluation of Target Capture in Robotic Systems","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Dynamics and Control of Mechanical Systems","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; University of New Brunswick","funders":"","keywords":"Robot; Control theory (sociology); Representation (politics); Motion (physics); Computer science; Inertia; System dynamics; Control engineering; Rigid body dynamics; Finite element method; Rigid body; Trajectory; Simulation; Engineering; Artificial intelligence; Control (management); Physics; Structural engineering","score_opus":0.03910230723395123,"score_gpt":0.319627915573056,"score_spread":0.2805256083391047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148090453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834006,0.002992021,0.011840596,0.00045953476,0.00046390574,0.00017410918,0.0000020810114,0.000004493319,0.0006626639],"genre_scores_gemma":[0.9988944,0.00072601903,0.00021636185,0.0000037683667,0.00007779114,0.0000032848131,0.0000011275295,0.000011031354,0.00006620124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776214,0.00014126541,0.00043863352,0.000059020338,0.001450379,0.00014855001],"domain_scores_gemma":[0.9989283,0.000106225896,0.000047826405,0.0000941182,0.00078265404,0.000040850187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004151212,0.000064266125,0.00016476445,0.0001925698,0.00002447792,0.00005818472,0.0004280696,0.000049109774,0.000020724268],"category_scores_gemma":[0.000068971276,0.000045692235,0.00003492902,0.0001209887,0.000025838566,0.00011746447,0.000027063761,0.000393612,0.0000031702505],"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":[0.00003294972,0.000015411766,0.000083557265,0.00001824573,0.000056934718,0.0000036616489,0.00013468474,0.9932117,0.0006415696,0.0004404257,0.000008376296,0.005352511],"study_design_scores_gemma":[0.0004866481,0.000036385034,0.00024920658,0.0002097999,0.000010669511,0.00005217283,0.00015613377,0.99797815,0.000011718015,0.00075546553,0.000012295903,0.00004138316],"about_ca_topic_score_codex":0.00006806689,"about_ca_topic_score_gemma":0.000032807657,"teacher_disagreement_score":0.015493819,"about_ca_system_score_codex":0.0002605908,"about_ca_system_score_gemma":0.000071972485,"threshold_uncertainty_score":0.18632752},"labels":[],"label_agreement":null},{"id":"W2151730035","doi":"10.1177/02783640022068039","title":"Experimental Validation of Contact Dynamics Simulation of Constrained Robotic Tasks","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Space Exploration and Technology","field":"Engineering","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 Victoria","funders":"","keywords":"Robotics; Contact dynamics; Aerospace; Software; Fidelity; Simulation; Control engineering; Key (lock); Computer science; System dynamics; Robot; Simulation software; Artificial intelligence; Robot manipulator; Dynamics (music); Systems engineering; Modeling and simulation; Engineering; Aerospace engineering","score_opus":0.05789155773390815,"score_gpt":0.3678259078473695,"score_spread":0.3099343501134614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151730035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9238833,0.00021925183,0.070992656,0.001774471,0.0005386872,0.00017150454,0.000010668156,0.000025768088,0.002383673],"genre_scores_gemma":[0.9982232,0.00007608029,0.0015344935,0.0000060235297,0.00007090935,0.000001096103,0.000008036127,0.00001142345,0.00006873458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986307,0.00006566169,0.00042596774,0.000047977064,0.0007207772,0.00010893869],"domain_scores_gemma":[0.99872595,0.0003108798,0.00011907939,0.000116354175,0.00069737394,0.000030386202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907825,0.000063363914,0.00014845448,0.0002961318,0.00002511814,0.000022578968,0.00043102002,0.000059887065,0.0002967304],"category_scores_gemma":[0.00012007339,0.000050896004,0.00007799594,0.00017931154,0.0001291068,0.00013905844,0.000027429483,0.00027614224,0.00000878757],"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":[0.00007202115,0.000058408215,0.000089817215,0.000005735208,0.00012510303,0.0000048863426,0.00023147983,0.95930284,0.032442916,0.0048804996,0.00011606504,0.0026702522],"study_design_scores_gemma":[0.0006902607,0.00021314454,0.00017296369,0.000062037776,0.000012205291,0.000038689283,0.0007463349,0.85625964,0.14063045,0.00097535347,0.00014051271,0.000058394406],"about_ca_topic_score_codex":0.000009010977,"about_ca_topic_score_gemma":0.0000037612976,"teacher_disagreement_score":0.108187534,"about_ca_system_score_codex":0.00016275093,"about_ca_system_score_gemma":0.000056801593,"threshold_uncertainty_score":0.32489896},"labels":[],"label_agreement":null},{"id":"W2154959062","doi":"10.1177/0278364910397559","title":"Shared control architectures for haptic training: Performance and coupled stability analysis","year":2011,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"Queen's University","funders":"Ontario Centres of Excellence","keywords":"Haptic technology; Kinesthetic learning; Computer science; Architecture; Task (project management); Network architecture; Stability (learning theory); Simulation; Engineering; Computer network","score_opus":0.15794391975249045,"score_gpt":0.3314523036487236,"score_spread":0.17350838389623313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154959062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8930971,0.0002003369,0.10481962,0.00063461944,0.000330997,0.00022820849,0.000015330417,0.000016730586,0.000657077],"genre_scores_gemma":[0.997818,0.000027316733,0.0019043094,0.000023544973,0.00016842551,0.000007770452,0.0000013338632,0.000009750105,0.0000395852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882466,0.00006104536,0.00033034247,0.000068550784,0.0005609599,0.00015442415],"domain_scores_gemma":[0.9985227,0.00045341294,0.000058488404,0.00010968849,0.00078307424,0.00007262914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019054158,0.000068246125,0.0001792268,0.0002833072,0.00007388731,0.00008905142,0.00041993876,0.00003125506,0.00008602794],"category_scores_gemma":[0.00024655455,0.000045267585,0.00008885882,0.00014689092,0.0000928157,0.00004712606,0.000022681717,0.0002471835,0.000002110221],"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":[0.0010422866,0.00012750975,0.022197966,0.00010623779,0.0063134083,0.000020576876,0.02411419,0.922585,0.009527221,0.0048724557,0.00051514595,0.008577969],"study_design_scores_gemma":[0.0007039442,0.00011911164,0.017486127,0.000020565503,0.00007699209,0.000040264134,0.0006496913,0.97998524,0.0003281481,0.0004416375,0.0000899667,0.000058319147],"about_ca_topic_score_codex":0.000014234421,"about_ca_topic_score_gemma":0.000044271546,"teacher_disagreement_score":0.10472088,"about_ca_system_score_codex":0.00006114766,"about_ca_system_score_gemma":0.000056162808,"threshold_uncertainty_score":0.18459585},"labels":[],"label_agreement":null},{"id":"W2156968214","doi":"10.1177/0278364913498122","title":"Foot–terrain interaction mechanics for legged robots: Modeling and experimental validation","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Terrain; Displacement (psychology); Robot; Computer science; Terrestrial locomotion; Foot (prosody); Fidelity; Simulation; Artificial intelligence; Geology; Geography","score_opus":0.07800501434990015,"score_gpt":0.3673654443441043,"score_spread":0.28936042999420414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156968214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56679964,0.0002146622,0.42935887,0.0018381976,0.0013576807,0.0002803649,0.000003621381,0.000019467147,0.00012746392],"genre_scores_gemma":[0.99588394,0.00015895208,0.0035512105,0.00002767325,0.00030248344,0.00001710869,0.000004709037,0.000024459787,0.000029486515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884266,0.000047723435,0.00030486073,0.000078207486,0.00055522536,0.00017130595],"domain_scores_gemma":[0.9987703,0.00019220708,0.00006160148,0.00009312004,0.000822302,0.000060480088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010364342,0.00008059531,0.00010166073,0.00020452235,0.000087051325,0.00024197715,0.00038735662,0.000050674727,0.000019014717],"category_scores_gemma":[0.00013014427,0.00006319179,0.00005809213,0.0000713615,0.0000147508645,0.00031379258,0.00008770596,0.00034518845,0.000006540223],"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":[0.00004119244,0.000028805376,0.0000047399803,0.0000080195,0.00010419213,0.0000015453937,0.00045850285,0.96584994,0.021228312,0.005940822,0.00032874968,0.006005171],"study_design_scores_gemma":[0.00037114133,0.00008747228,0.0000033060246,0.000043297787,0.000006274994,0.000053887226,0.0013052619,0.9844724,0.006037767,0.0074886605,0.00006923108,0.000061290906],"about_ca_topic_score_codex":0.000027790384,"about_ca_topic_score_gemma":0.000003847632,"teacher_disagreement_score":0.42908424,"about_ca_system_score_codex":0.00020786951,"about_ca_system_score_gemma":0.000027641963,"threshold_uncertainty_score":0.25768864},"labels":[],"label_agreement":null},{"id":"W2157521920","doi":"10.1177/0278364909103785","title":"Robot-assisted Active Catheter Insertion: Algorithms and Experiments","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":89,"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","funders":"","keywords":"Catheter; Actuator; Computer science; SAFER; Controller (irrigation); Robot; Robotics; Artificial intelligence; Simulation; Algorithm; Surgery; Medicine","score_opus":0.09173262974542203,"score_gpt":0.3881112984568156,"score_spread":0.29637866871139357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157521920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75822026,0.0035835565,0.17033248,0.054703165,0.0027943754,0.00081928563,0.000025708856,0.00015450444,0.009366672],"genre_scores_gemma":[0.99341303,0.00037471866,0.005658197,0.00008895924,0.00032181092,0.0000033162573,0.00000216083,0.000011625838,0.00012615246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987716,0.00003791472,0.00024616532,0.00007373721,0.00070589414,0.00016466834],"domain_scores_gemma":[0.9989911,0.00016237223,0.000052897318,0.00013053017,0.00058040285,0.00008271627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000421029,0.00007853387,0.000101379504,0.00017535349,0.00009548363,0.0001307429,0.0005185319,0.00004131776,0.000020753308],"category_scores_gemma":[0.00005462833,0.000056437388,0.000050576964,0.00015089575,0.00007153967,0.00012610761,0.00005602002,0.00040066757,0.000011962014],"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":[0.00022264881,0.00076750707,0.00036277142,0.00001303302,0.00090798934,0.00012091894,0.0035208405,0.4992086,0.16625606,0.014606391,0.009538518,0.30447474],"study_design_scores_gemma":[0.005800344,0.0018778327,0.26343086,0.0005861603,0.00015139926,0.002652662,0.0037833834,0.47070464,0.16911441,0.059195016,0.021482727,0.0012205318],"about_ca_topic_score_codex":0.00000560397,"about_ca_topic_score_gemma":0.0000016958898,"teacher_disagreement_score":0.30325422,"about_ca_system_score_codex":0.00013872472,"about_ca_system_score_gemma":0.000037206926,"threshold_uncertainty_score":0.23014499},"labels":[],"label_agreement":null},{"id":"W2158680534","doi":"10.1177/0278364904036094","title":"Planning Velocities of Free Sliding Objects as a Free Boundary Value Problem","year":2004,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","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":"Simon Fraser University","funders":"","keywords":"Motion planning; Impulse (physics); Boundary value problem; Boundary (topology); Free boundary problem; Mathematical optimization; Motion (physics); Computer science; Initial value problem; Control theory (sociology); Mathematics; Robot; Artificial intelligence; Mathematical analysis; Control (management); Classical mechanics; Physics","score_opus":0.07678122860902109,"score_gpt":0.375537080379475,"score_spread":0.2987558517704539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158680534","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042710226,0.0016380935,0.91596496,0.02858946,0.0025021897,0.00031458784,0.000012059814,0.00005807005,0.0082103275],"genre_scores_gemma":[0.5327672,0.000071561204,0.4661814,0.00016637653,0.0005379521,0.0000034085901,0.0000012050662,0.000021355085,0.00024958144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948691,0.000253441,0.0006745795,0.00020281004,0.0035640425,0.00043601842],"domain_scores_gemma":[0.9957301,0.0010667549,0.000450818,0.0006688672,0.0019497311,0.00013373024],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0043350817,0.00014640715,0.00026365154,0.0006677947,0.00025674718,0.00045290028,0.0077625634,0.0000759389,0.000005718663],"category_scores_gemma":[0.00198397,0.00010846567,0.00013480496,0.0005122177,0.00025263752,0.0005911877,0.0017031269,0.0010290837,0.000015859508],"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":[0.00007769102,0.0001288122,0.00027094342,0.000025708823,0.00029383617,0.0007781529,0.009919685,0.8394528,0.0026826775,0.14298154,0.00207842,0.0013096991],"study_design_scores_gemma":[0.0035473749,0.001262436,0.0016507192,0.0023172456,0.00002955773,0.003627011,0.0026750434,0.078756586,0.021768965,0.8835248,0.00046649724,0.00037376428],"about_ca_topic_score_codex":0.00017070121,"about_ca_topic_score_gemma":0.000003116363,"teacher_disagreement_score":0.76069623,"about_ca_system_score_codex":0.0004102877,"about_ca_system_score_gemma":0.0014979831,"threshold_uncertainty_score":0.9976059},"labels":[],"label_agreement":null},{"id":"W2158799378","doi":"10.1177/0278364905055419","title":"Foot Placement Selection Using Non-geometric Visual Properties","year":2005,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","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 Waterloo","funders":"Office of Naval Research","keywords":"Foot (prosody); Computer science; Gait; Position (finance); Selection (genetic algorithm); Artificial intelligence; Path (computing); Mechanism (biology); Key (lock); Computer vision; Simulation; Physical medicine and rehabilitation","score_opus":0.08321381390599199,"score_gpt":0.3609939056979222,"score_spread":0.27778009179193025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158799378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42813337,0.0008841811,0.5607458,0.0061836536,0.0017589425,0.00034313943,0.0000012386802,0.000039167167,0.0019105609],"genre_scores_gemma":[0.9958978,0.00014296234,0.0024456396,0.0000495902,0.0010535951,0.0000023705577,4.1143008e-7,0.00001797754,0.0003896189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979713,0.000073674244,0.0003579572,0.00006311448,0.0013038971,0.00023003566],"domain_scores_gemma":[0.99868876,0.000111205816,0.00006748674,0.00007025719,0.0009912669,0.00007100505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013236093,0.00008353139,0.00011762452,0.0006405217,0.000102122394,0.00016250741,0.0005170569,0.000039619346,0.00009629241],"category_scores_gemma":[0.00012852048,0.00005643108,0.000073250456,0.0004000091,0.000049183018,0.00019486123,0.000066512664,0.00050573883,0.00004639556],"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":[0.000055127308,0.000063340296,0.00012793503,0.0000057389284,0.00017201787,0.0000048494658,0.00015496142,0.9678574,0.023981923,0.000112764435,0.0011437999,0.0063201287],"study_design_scores_gemma":[0.00062310847,0.000114518065,0.00027187573,0.000057956087,0.000013375331,0.00015111887,0.00019938067,0.97959006,0.017562041,0.000056183042,0.0012892077,0.000071196875],"about_ca_topic_score_codex":0.000011443214,"about_ca_topic_score_gemma":0.0000093683175,"teacher_disagreement_score":0.56776446,"about_ca_system_score_codex":0.00056674465,"about_ca_system_score_gemma":0.00011217137,"threshold_uncertainty_score":0.23011926},"labels":[],"label_agreement":null},{"id":"W2160004075","doi":"10.1177/02783640122067273","title":"Global Planning for Dexterous Reorientation of Rigid Objects: Finger Tracking with Rolling and Sliding","year":2001,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","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":"GRASP; Kinematics; Computer science; Motion planning; Motion (physics); Reduction (mathematics); Trajectory; Configuration space; Tracking (education); Object (grammar); Space (punctuation); Computer vision; Artificial intelligence; Regular polygon; Robot; Mathematics; Geometry","score_opus":0.1080834104353403,"score_gpt":0.3955043315081898,"score_spread":0.2874209210728495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160004075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54736054,0.00044016165,0.45101282,0.00032012738,0.00025942462,0.00009680237,7.05273e-7,0.000012071794,0.0004973676],"genre_scores_gemma":[0.99285936,0.000121685625,0.0067276815,0.0000138590385,0.00023069713,0.0000015859301,0.0000017838322,0.000013455609,0.000029868406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881244,0.000048286824,0.00029750087,0.000057955513,0.00062351144,0.0001603368],"domain_scores_gemma":[0.99865186,0.00041516603,0.00012102789,0.000058539736,0.0007112053,0.00004217214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075277,0.00006774107,0.00011560944,0.00018604028,0.000097275886,0.00011722584,0.00024221312,0.000031966443,0.0000064170777],"category_scores_gemma":[0.00022171836,0.000049640283,0.000036162026,0.00018856234,0.00003617656,0.00021069939,0.00002750482,0.00023618712,5.2564116e-7],"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":[0.0001835146,0.000009835578,0.020734971,0.00001646629,0.00009378669,0.000017334207,0.0013798673,0.97237426,0.00087297225,0.0010093261,0.000050832077,0.0032568532],"study_design_scores_gemma":[0.0017530821,0.00036236946,0.02183489,0.00076639844,0.000041519128,0.00086301524,0.00422325,0.9656145,0.0014607586,0.0024152652,0.0004892806,0.00017565508],"about_ca_topic_score_codex":0.0000074940453,"about_ca_topic_score_gemma":0.000009744221,"teacher_disagreement_score":0.44549885,"about_ca_system_score_codex":0.00012183947,"about_ca_system_score_gemma":0.000036161768,"threshold_uncertainty_score":0.2024272},"labels":[],"label_agreement":null},{"id":"W2161298439","doi":"10.1177/0278364914547786","title":"Sampling-based A* algorithm for robot path-planning","year":2014,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":161,"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":"Motion planning; Probabilistic roadmap; Computer science; Mathematical optimization; Probabilistic logic; Algorithm; Simulated annealing; Graph; Entropy (arrow of time); Cross entropy; Heuristic; Adaptive simulated annealing; Robot; Artificial intelligence; Mathematics; Theoretical computer science; Principle of maximum entropy","score_opus":0.14159887998377177,"score_gpt":0.4227342927869594,"score_spread":0.28113541280318766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161298439","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013201326,0.00019806267,0.98710126,0.010331149,0.0018376847,0.0001539675,0.0000040192767,0.000028042768,0.00021383219],"genre_scores_gemma":[0.031741247,0.000012547308,0.966417,0.0004220013,0.0012068168,0.000008470171,0.0000039056417,0.000020917563,0.00016708358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961327,0.0003271054,0.00055933587,0.00023741365,0.0022639174,0.0004795781],"domain_scores_gemma":[0.9927089,0.0035058195,0.0003446067,0.00044673943,0.0028324556,0.00016146744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00753239,0.00014380467,0.00023599024,0.00048663723,0.00027782586,0.0005422656,0.004652269,0.00007556584,0.000004648274],"category_scores_gemma":[0.0013166247,0.0001014788,0.00016923828,0.0003444924,0.00013694342,0.00028811867,0.00035710176,0.000731776,0.000021191707],"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":[0.00003503277,0.00010544908,0.00013867971,0.000007769549,0.00011306903,0.00005331271,0.00034435152,0.7734774,0.00052827253,0.008637451,0.003749896,0.21280931],"study_design_scores_gemma":[0.00076342485,0.00034163563,0.00034247848,0.00015177291,0.000007766757,0.00015661781,0.000044161414,0.98258406,0.0007179552,0.010026797,0.0047485777,0.00011476385],"about_ca_topic_score_codex":0.000011049698,"about_ca_topic_score_gemma":3.0259622e-7,"teacher_disagreement_score":0.21269456,"about_ca_system_score_codex":0.00018923546,"about_ca_system_score_gemma":0.0004022403,"threshold_uncertainty_score":0.8645151},"labels":[],"label_agreement":null},{"id":"W2163003390","doi":"10.1177/0278364908096316","title":"3D Perception and Environment Map Generation for Humanoid Robot Navigation","year":2008,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":117,"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 British Columbia","keywords":"Computer vision; Artificial intelligence; Computer science; Humanoid robot; Segmentation; Occupancy grid mapping; Robot; Stereopsis; Noise (video); Mobile robot","score_opus":0.09760256191343164,"score_gpt":0.32542716143270844,"score_spread":0.2278245995192768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163003390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24108645,0.00036333405,0.75476617,0.0026198172,0.0007870546,0.00025852543,0.000006331935,0.000015294494,0.00009702377],"genre_scores_gemma":[0.97990125,0.0013487783,0.017502472,0.00003604223,0.00090915925,0.0000057796933,0.000040037638,0.000022759583,0.00023371782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986647,0.00006117059,0.0003059881,0.00008357701,0.00074023363,0.00014436325],"domain_scores_gemma":[0.999186,0.00012699148,0.000065416156,0.00009739104,0.00047087873,0.00005333582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078211754,0.00007788154,0.00009417805,0.00016868224,0.0001905673,0.0000769053,0.0002318823,0.000053008385,0.000022379103],"category_scores_gemma":[0.000048373888,0.00006123339,0.000047161473,0.000042997675,0.00009664207,0.00014581197,0.00003323621,0.00023458397,0.000011375802],"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":[0.000024947107,0.000024460054,0.00009478997,0.0000110548945,0.000048455644,0.000007550278,0.00044418048,0.9380569,0.055994228,0.0005303849,0.002152669,0.0026104045],"study_design_scores_gemma":[0.00046367603,0.00013364016,0.00080148655,0.00003268569,0.000012411627,0.00013417534,0.000106977044,0.992466,0.0031181925,0.00082954735,0.0018190778,0.00008212753],"about_ca_topic_score_codex":0.000005544931,"about_ca_topic_score_gemma":0.0000021829749,"teacher_disagreement_score":0.7388148,"about_ca_system_score_codex":0.0002169271,"about_ca_system_score_gemma":0.00003585251,"threshold_uncertainty_score":0.24970251},"labels":[],"label_agreement":null},{"id":"W2167776541","doi":"10.1177/0278364909105274","title":"Dual-channel Haptic Synthesis of Viscoelastic Tissue Properties using Programmable Eddy Current Brakes","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actuator; Haptic technology; Viscoelasticity; Torque; Damper; Eddy current; Electrical impedance; Mechanical impedance; Computer science; Component (thermodynamics); Control theory (sociology); Mechanical engineering; Engineering; Simulation; Control engineering; Materials science; Physics; Electrical engineering; Artificial intelligence","score_opus":0.12342123938511089,"score_gpt":0.3690241653304365,"score_spread":0.24560292594532562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167776541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7933601,0.012113485,0.17713706,0.0064888503,0.0073583764,0.0012386461,0.000019127887,0.00012930795,0.0021550052],"genre_scores_gemma":[0.9980747,0.0002778297,0.0010199442,0.000006937109,0.00049050275,0.0000028974562,4.6936933e-7,0.000015754173,0.00011097471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978935,0.00010067758,0.00051697163,0.000072358445,0.0011943954,0.00022208311],"domain_scores_gemma":[0.9983494,0.00023346998,0.000108316955,0.00013309336,0.001102793,0.00007290078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010956667,0.000100577425,0.00020123988,0.00032526333,0.000075280455,0.00016549397,0.00048421,0.000037150683,0.00002426005],"category_scores_gemma":[0.00048108926,0.00006641318,0.00006815522,0.00017023324,0.00009234957,0.00017028842,0.0000425688,0.0003513451,0.000013443751],"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":[0.00006547613,0.00014584498,0.000030105393,0.00008014437,0.00019587914,0.000028318653,0.0009517177,0.8961581,0.081129774,0.0016319202,0.0004859117,0.019096794],"study_design_scores_gemma":[0.00052862026,0.00044006493,0.00024197112,0.001674755,0.00006183304,0.0006010255,0.0010084016,0.9228458,0.06946287,0.0010494046,0.0018633446,0.00022190293],"about_ca_topic_score_codex":0.000017732866,"about_ca_topic_score_gemma":0.0000065138142,"teacher_disagreement_score":0.20471455,"about_ca_system_score_codex":0.00014498671,"about_ca_system_score_gemma":0.00011974932,"threshold_uncertainty_score":0.2708251},"labels":[],"label_agreement":null},{"id":"W2171027943","doi":"10.1177/0278364913507325","title":"Autonomous adaptive exploration using realtime online spatiotemporal topic modeling","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":81,"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; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Underwater; Surprise; Viewpoints; Robot; Tree traversal; Exploit; Computer vision; Geology","score_opus":0.28683333592294746,"score_gpt":0.4425160005841522,"score_spread":0.15568266466120473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171027943","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015827993,0.00014535192,0.9755813,0.007882224,0.0002596388,0.0001473292,0.0000010078978,0.00002174185,0.00013339921],"genre_scores_gemma":[0.6708562,0.0001792882,0.32834736,0.000115981646,0.0003614565,0.0000019504027,0.0000013729945,0.000007879758,0.00012855664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792916,0.0001623307,0.000419041,0.00012717415,0.0011580818,0.00020421576],"domain_scores_gemma":[0.99631655,0.00020073129,0.00020738982,0.00023836027,0.0029652042,0.00007178699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001124538,0.00008084842,0.00012277444,0.00030121373,0.0001272385,0.0003142092,0.0017016768,0.00004111283,0.000014078342],"category_scores_gemma":[0.00022300285,0.000055968634,0.00006642637,0.00026621317,0.000063341955,0.0018598147,0.00040616473,0.0005276682,0.0000143825955],"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":[0.00008217506,0.00026375797,0.00011698032,0.0000069010953,0.00014371422,0.000101776815,0.0014613332,0.7216359,0.009751946,0.035472624,0.0009693639,0.22999354],"study_design_scores_gemma":[0.00013707041,0.00015231162,0.000039573293,0.000051602226,0.0000023723192,0.00006609442,0.0001574341,0.9242135,0.003765374,0.07125913,0.00009829426,0.000057220142],"about_ca_topic_score_codex":0.00022241106,"about_ca_topic_score_gemma":0.0000072138473,"teacher_disagreement_score":0.65502816,"about_ca_system_score_codex":0.00027297376,"about_ca_system_score_gemma":0.0002787397,"threshold_uncertainty_score":0.3162167},"labels":[],"label_agreement":null},{"id":"W2172018527","doi":"10.1177/0278364908104855","title":"MRI-based Medical Nanorobotic Platform for the Control of Magnetic Nanoparticles and Flagellated Bacteria for Target Interventions in Human Capillaries","year":2009,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":269,"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; Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Nanorobotics; Robotics; Nanomedicine; Magnetotactic bacteria; Computer science; Medical robotics; Magnetic resonance imaging; Artificial intelligence; Embedded system; Engineering; Robot; Medicine; Biology; Radiology","score_opus":0.05545721812769053,"score_gpt":0.3723704195989377,"score_spread":0.31691320147124713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172018527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55447495,0.0022022477,0.40301785,0.037903953,0.0006515383,0.0015060649,0.0001267219,0.0000072455687,0.000109453096],"genre_scores_gemma":[0.9964527,0.00003429643,0.0031042292,0.000066119654,0.00021410703,0.00000866104,0.00000997032,0.000009743539,0.000100157384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836457,0.00009122522,0.00062330643,0.00009314609,0.0005820345,0.00024570114],"domain_scores_gemma":[0.99724734,0.0014662833,0.00022419321,0.00012627807,0.0008644846,0.00007143874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022038226,0.00009576311,0.00022638154,0.00017880781,0.0001694075,0.00010170839,0.0006799554,0.000044994544,0.00013916267],"category_scores_gemma":[0.00021142596,0.00005753294,0.0001836684,0.00011606612,0.0002410951,0.00007556031,0.000051649924,0.00027856557,6.6546e-7],"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":[0.0036958836,0.002395922,0.014110784,0.00023677261,0.001435147,0.000029726241,0.0021668097,0.32321495,0.30729473,0.31471553,0.005597592,0.025106156],"study_design_scores_gemma":[0.02859929,0.0061608823,0.019739581,0.0022193084,0.00048877887,0.00007894932,0.0027159848,0.52746767,0.14399152,0.26507518,0.0028025368,0.00066035136],"about_ca_topic_score_codex":0.000033747936,"about_ca_topic_score_gemma":0.000033273118,"teacher_disagreement_score":0.44197777,"about_ca_system_score_codex":0.000041751522,"about_ca_system_score_gemma":0.00025591877,"threshold_uncertainty_score":0.23461251},"labels":[],"label_agreement":null},{"id":"W2222800472","doi":"10.1177/0278364915598850","title":"Articulated pose estimation using tangent space approximations","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Particle filter; Computer science; State space; Object (grammar); Algorithm; Parametrization (atmospheric modeling); Filter (signal processing); Tangent; Control theory (sociology); Artificial intelligence; Mathematics; Computer vision; Control (management); Geometry","score_opus":0.176042408008086,"score_gpt":0.3836574565052272,"score_spread":0.2076150484971412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222800472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15381864,0.0002857437,0.8400164,0.0035869027,0.0013233718,0.00015656752,0.0000034418988,0.000030785995,0.00077815144],"genre_scores_gemma":[0.9701206,0.000055054184,0.02937622,0.000025136076,0.00032840355,9.70701e-7,0.0000074939658,0.000022028484,0.00006409698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980024,0.000106943946,0.0003543176,0.000060054015,0.0012948067,0.00018145762],"domain_scores_gemma":[0.9976084,0.00014540766,0.000086104665,0.00013881264,0.0018971673,0.00012405976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013763641,0.000078747325,0.000104778235,0.00030713822,0.00007273363,0.00017593968,0.00041221987,0.000047686095,0.00001552128],"category_scores_gemma":[0.00044609842,0.000058595735,0.00005165939,0.00031698935,0.00006558131,0.00018996005,0.00005447464,0.00033375362,0.000024943574],"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":[0.000022224705,0.00003498126,0.000065835426,0.0000050277495,0.00008245674,0.00002166036,0.00036786793,0.9892918,0.0034158826,0.0041201795,0.0019714301,0.0006006437],"study_design_scores_gemma":[0.00031516564,0.000040428342,0.0000715038,0.000049532944,0.00001589382,0.000114818315,0.0002522775,0.99217826,0.002786247,0.003816032,0.0002996565,0.000060189086],"about_ca_topic_score_codex":0.000018420607,"about_ca_topic_score_gemma":0.000004840528,"teacher_disagreement_score":0.81630194,"about_ca_system_score_codex":0.00042098458,"about_ca_system_score_gemma":0.00014483521,"threshold_uncertainty_score":0.23894648},"labels":[],"label_agreement":null},{"id":"W2278466928","doi":"10.1177/0278364915586606","title":"Multi-scale assembly with robot teams","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Robot; Context (archaeology); Computer science; Task (project management); Field (mathematics); Artificial intelligence; Fastener; Feature (linguistics); Scale (ratio); Engineering; Control engineering; Computer vision; Simulation; Systems engineering; Mechanical engineering","score_opus":0.14767002048613123,"score_gpt":0.38268714446836755,"score_spread":0.23501712398223631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278466928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09176279,0.0006301649,0.88653,0.008116132,0.001937336,0.00021577868,8.3847374e-7,0.00008833496,0.010718625],"genre_scores_gemma":[0.9752325,0.000048018184,0.023252154,0.000041777097,0.0004386872,0.0000014198584,0.0000015768368,0.000026644248,0.0009572601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791044,0.00010930061,0.0002637216,0.00006475056,0.0014474045,0.0002043927],"domain_scores_gemma":[0.99810845,0.00017551165,0.00006863172,0.00013355115,0.001371921,0.00014192531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017121162,0.00008128935,0.00011566135,0.00025047577,0.0000595149,0.00017061319,0.0007549224,0.000039806182,0.000029010742],"category_scores_gemma":[0.00018782589,0.000051045172,0.00004556856,0.00020413892,0.00007010081,0.00019800976,0.00007468324,0.0007425778,0.00007645909],"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":[0.000052232048,0.000031255717,0.0015090882,0.0000028735067,0.000090406174,0.000040996518,0.00059053063,0.99105465,0.002363651,0.00018635106,0.0029987046,0.0010792796],"study_design_scores_gemma":[0.0012632541,0.00018027927,0.0045584766,0.00009418088,0.000012163731,0.00040304728,0.0015353039,0.9850932,0.0013149704,0.00020396661,0.005214004,0.00012720488],"about_ca_topic_score_codex":0.000020564561,"about_ca_topic_score_gemma":0.000038819213,"teacher_disagreement_score":0.8834697,"about_ca_system_score_codex":0.00023603499,"about_ca_system_score_gemma":0.00013609808,"threshold_uncertainty_score":0.32261723},"labels":[],"label_agreement":null},{"id":"W2293833064","doi":"10.1177/0278364915585860","title":"Continuous-time batch trajectory estimation using temporal basis functions","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","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 Toronto","funders":"","keywords":"Computer science; Estimator; Rendering (computer graphics); Basis (linear algebra); Basis function; Probabilistic logic; Mathematical optimization; Algorithm; Trajectory; Maximum a posteriori estimation; Artificial intelligence; Mathematics; Maximum likelihood","score_opus":0.10377432192477112,"score_gpt":0.3462415901728486,"score_spread":0.2424672682480775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293833064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2129143,0.00033031442,0.77989584,0.002403058,0.0022342305,0.00018697872,0.000012260878,0.00005506921,0.0019679407],"genre_scores_gemma":[0.9848969,0.000037447364,0.013946606,0.000032744298,0.00059101335,0.000001181333,0.00001428746,0.000033749817,0.00044608384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977713,0.00014859186,0.00042341356,0.00007756228,0.0013693784,0.00020973945],"domain_scores_gemma":[0.99751467,0.00025160622,0.000097300195,0.0001470303,0.0018541015,0.00013529324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018268733,0.0000987704,0.00015422897,0.00038184106,0.00009348432,0.00018129585,0.0004915369,0.00006510398,0.00005933297],"category_scores_gemma":[0.0003917226,0.00007635201,0.00008167247,0.0002676757,0.00008989218,0.00022900074,0.000049605118,0.00044889428,0.00006647879],"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":[0.000042841,0.000036279413,0.00040820808,0.0000046794767,0.00011013186,0.000022213442,0.0002089212,0.9879637,0.002496617,0.00023110493,0.007040956,0.0014343563],"study_design_scores_gemma":[0.00042481194,0.000080750404,0.00015035043,0.00005241788,0.000021072921,0.000120794466,0.00032012982,0.9960061,0.000995272,0.0007322538,0.0010148517,0.00008120095],"about_ca_topic_score_codex":0.000049046717,"about_ca_topic_score_gemma":0.000009330985,"teacher_disagreement_score":0.77198255,"about_ca_system_score_codex":0.0004420851,"about_ca_system_score_gemma":0.00022818599,"threshold_uncertainty_score":0.31135446},"labels":[],"label_agreement":null},{"id":"W2337157527","doi":"10.1177/0278364915587925","title":"Design, kinematics, and control of a soft spatial fluidic elastomer manipulator","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Fluidics; Kinematics; Soft robotics; Modular design; Computer science; Process (computing); Curvature; Robot; Mechanical engineering; Engineering; Control engineering; Simulation; Control theory (sociology); Artificial intelligence; Aerospace engineering; Physics; Control (management); Geometry; Mathematics","score_opus":0.11466835341929749,"score_gpt":0.3477121906258172,"score_spread":0.23304383720651972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337157527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02712707,0.0008514924,0.9694741,0.0018708007,0.00035618158,0.00015301086,0.000004332361,0.000010097331,0.00015293152],"genre_scores_gemma":[0.9923082,0.00009355178,0.0072557083,0.000025733836,0.0002603156,0.0000031331272,7.3840647e-7,0.000016608587,0.000036014568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984378,0.00006550947,0.0003670731,0.00005250656,0.0009349213,0.00014217588],"domain_scores_gemma":[0.99789,0.00053759216,0.00008845543,0.00012609604,0.0012470625,0.00011079699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014590151,0.00007067701,0.00015117084,0.00019552217,0.00003230688,0.000058757447,0.0005116839,0.00003824112,0.000014458629],"category_scores_gemma":[0.00033044087,0.000050271698,0.000040109462,0.00011274522,0.0001176173,0.00006469533,0.0000672816,0.00029644652,0.000011705506],"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":[0.00007704848,0.00007152159,0.0003633561,0.000016190743,0.0002613296,0.000011835389,0.0003990589,0.9752185,0.016289787,0.0026060978,0.0033686864,0.0013165866],"study_design_scores_gemma":[0.0016314187,0.00025511376,0.00088658545,0.000103565384,0.000052759835,0.00019495175,0.0003002333,0.97898346,0.007919745,0.008718844,0.000833543,0.00011980015],"about_ca_topic_score_codex":0.000017863174,"about_ca_topic_score_gemma":0.000003147579,"teacher_disagreement_score":0.9651811,"about_ca_system_score_codex":0.00007717394,"about_ca_system_score_gemma":0.000100505466,"threshold_uncertainty_score":0.20500204},"labels":[],"label_agreement":null},{"id":"W2393415573","doi":"10.1177/0278364915620848","title":"Reliable confirmation of an object identity by a mobile robot: A mixed appearance/localization-driven motion approach","year":2016,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Optimization and Search Problems","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Mobile robot; Novelty; Computer science; Artificial intelligence; Computer vision; Robot; Identity (music); Object (grammar); Motion (physics); Novelty detection; False positive paradox; Process (computing); Psychology","score_opus":0.05191870500519372,"score_gpt":0.36006660591655976,"score_spread":0.308147900911366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393415573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004659389,0.00011682771,0.9919564,0.0022583394,0.00033260725,0.00026202513,0.0000062475456,0.000016388594,0.00039173893],"genre_scores_gemma":[0.9599333,0.00040303086,0.039130036,0.00006118133,0.00011967339,0.000013036732,0.00000804852,0.000012589812,0.00031910167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99607986,0.0005052273,0.0005974572,0.00019008188,0.0023773296,0.0002500246],"domain_scores_gemma":[0.995488,0.00022020772,0.00038843145,0.00036215526,0.0034203192,0.00012092444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003674709,0.00009556753,0.00017614612,0.00039568386,0.00015716245,0.00031558948,0.0025386035,0.00006585744,0.000031838754],"category_scores_gemma":[0.0003567097,0.0000588463,0.00008430862,0.0005697825,0.00019928203,0.0019267342,0.00031627654,0.0002823344,0.000018868954],"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":[0.00008859551,0.0005083845,0.0004781705,0.00002579889,0.00011566022,0.000007658893,0.0010458115,0.9310289,0.012416964,0.037315458,0.0026746928,0.014293883],"study_design_scores_gemma":[0.0011855189,0.00037430722,0.0003525,0.0001676963,0.000006571992,0.00008466734,0.00023135029,0.98081917,0.007898766,0.008177476,0.0005884802,0.0001135276],"about_ca_topic_score_codex":0.000052608477,"about_ca_topic_score_gemma":0.000009038656,"teacher_disagreement_score":0.9552739,"about_ca_system_score_codex":0.00018034446,"about_ca_system_score_gemma":0.00024555883,"threshold_uncertainty_score":0.47173992},"labels":[],"label_agreement":null},{"id":"W2396317032","doi":"10.1177/0278364916645661","title":"Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking","year":2016,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":238,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Model predictive control; Mobile robot; Control theory (sociology); Robust control; Controller (irrigation); Computer science; Robot; A priori and a posteriori; Parametric statistics; Motion planning; Constraint (computer-aided design); Control engineering; Artificial intelligence; Engineering; Control (management); Control system; Mathematics","score_opus":0.05406263306722876,"score_gpt":0.3142733067122619,"score_spread":0.26021067364503314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396317032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00580579,0.00065064663,0.9901486,0.0016259635,0.00084184355,0.00021614316,0.0000042575434,0.00006632708,0.0006404306],"genre_scores_gemma":[0.9901395,0.00034636576,0.00844774,0.00002079834,0.00055098755,0.000011069688,0.0000021400451,0.000045670495,0.0004357503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755967,0.00015195338,0.0005452663,0.000120124685,0.0012726424,0.00035035363],"domain_scores_gemma":[0.9966486,0.0010423278,0.0001841435,0.00017486277,0.0018521192,0.00009795567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022455736,0.00012724388,0.000200899,0.00035730522,0.00013058209,0.00015794775,0.00080330676,0.00007340873,0.00008175217],"category_scores_gemma":[0.0008493947,0.00007897712,0.000101064375,0.00023102044,0.00011899862,0.0003366586,0.000058796257,0.0006360642,0.000028635823],"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":[0.00006699389,0.000022173714,0.00021460303,0.000010164292,0.00009571498,0.000040077986,0.000081299615,0.969798,0.023490263,0.000327554,0.00024348563,0.0056096264],"study_design_scores_gemma":[0.0020211383,0.00022240044,0.00007751517,0.000659589,0.00001763721,0.0001383833,0.00036552316,0.98412186,0.007844383,0.0006747039,0.0036677297,0.00018914338],"about_ca_topic_score_codex":0.000007179663,"about_ca_topic_score_gemma":0.000004996598,"teacher_disagreement_score":0.9843337,"about_ca_system_score_codex":0.00045221348,"about_ca_system_score_gemma":0.00016172085,"threshold_uncertainty_score":0.32205933},"labels":[],"label_agreement":null},{"id":"W2576665611","doi":"10.1177/0278364916683444","title":"Goal-directed robot manipulation through axiomatic scene estimation","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","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":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Computer science; Robot; Artificial intelligence; Inference; Axiom; Computer vision; Graph; Object (grammar); Theoretical computer science; Mathematics","score_opus":0.13858467703360575,"score_gpt":0.40766785060052835,"score_spread":0.2690831735669226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576665611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09179747,0.00057197915,0.8755159,0.013443308,0.00438255,0.00041651,0.0000014552347,0.00020055212,0.013670312],"genre_scores_gemma":[0.9812265,0.00016193514,0.017690768,0.00002593725,0.00049422117,0.0000023994762,0.0000061139817,0.000028262433,0.0003638717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99775237,0.00012657163,0.000464585,0.0000874732,0.001347097,0.00022188344],"domain_scores_gemma":[0.99805117,0.00027895978,0.0002657586,0.0003335839,0.0010102006,0.000060328442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014905747,0.00010837,0.00015557045,0.00023064273,0.00043290478,0.00062780053,0.0012652532,0.00006565112,0.00010577816],"category_scores_gemma":[0.000955619,0.00008258356,0.00008421074,0.00011262715,0.00010480486,0.0006887952,0.00012507135,0.0006062387,0.00009813417],"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":[0.000028056493,0.000021010252,0.0005081052,0.000013427979,0.000111297595,0.000022503898,0.0004138968,0.9849487,0.0021357073,0.002254758,0.0014782713,0.008064291],"study_design_scores_gemma":[0.00041759602,0.000032544845,0.031820092,0.00013817732,0.000013177816,0.000094659576,0.000085668944,0.9615983,0.00094378623,0.0043528923,0.0004164059,0.000086692264],"about_ca_topic_score_codex":0.000041017054,"about_ca_topic_score_gemma":0.000017404624,"teacher_disagreement_score":0.88942903,"about_ca_system_score_codex":0.00023797338,"about_ca_system_score_gemma":0.00005501367,"threshold_uncertainty_score":0.6053895},"labels":[],"label_agreement":null},{"id":"W2594346122","doi":"10.1177/0278364917692865","title":"Automated detection of handovers using kinematic features","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Hand Gesture Recognition Systems","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 British Columbia","funders":"","keywords":"Kinematics; Computer science; Artificial intelligence; Computer vision; Physics","score_opus":0.13727451479057037,"score_gpt":0.433872788833705,"score_spread":0.29659827404313466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594346122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23290795,0.00039064858,0.74800414,0.010977789,0.0050764177,0.00033448313,0.000004596021,0.000051210896,0.0022527818],"genre_scores_gemma":[0.99171394,0.00003296305,0.007875924,0.000014993502,0.00026524445,6.635211e-7,1.5157192e-7,0.000005017664,0.000091092435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975914,0.00021771516,0.0003552477,0.00008187441,0.0016112081,0.00014256149],"domain_scores_gemma":[0.99625814,0.0003950298,0.0006008617,0.0003604334,0.0023307872,0.000054774056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027203453,0.000060185375,0.0001471847,0.0003202974,0.0002616664,0.0005288129,0.0026564226,0.0000434084,0.0000044080375],"category_scores_gemma":[0.0010550056,0.000038187933,0.00008978723,0.00012268231,0.00013549728,0.00043885008,0.00034228078,0.00033465936,0.000008001054],"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":[0.0004876499,0.0004938991,0.0021089693,0.00018774785,0.0018227651,0.0005204238,0.005210398,0.19255428,0.6946173,0.02065494,0.003434728,0.07790696],"study_design_scores_gemma":[0.0021385574,0.0002830479,0.015652226,0.0010814464,0.000034866323,0.002671041,0.00042114066,0.83112335,0.13573802,0.010181667,0.00047058906,0.00020402398],"about_ca_topic_score_codex":0.000085127846,"about_ca_topic_score_gemma":0.000023440893,"teacher_disagreement_score":0.758806,"about_ca_system_score_codex":0.000105472165,"about_ca_system_score_gemma":0.00016842784,"threshold_uncertainty_score":0.5099355},"labels":[],"label_agreement":null},{"id":"W2604635497","doi":"10.1177/0278364916689139","title":"A grasp-based passivity signature for haptics-enabled human-robot interaction: Application to design of a new safety mechanism for robotic rehabilitation","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","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 Alberta; Western University","funders":"Canada Foundation for Innovation","keywords":"GRASP; Passivity; Controller (irrigation); Haptic technology; Robot; Simulation; Teleoperation; Computer science; Energy (signal processing); Human–robot interaction; Task (project management); Control theory (sociology); Engineering; Artificial intelligence; Control (management)","score_opus":0.10766862361179982,"score_gpt":0.4017861912380382,"score_spread":0.2941175676262384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604635497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014870254,0.00002908916,0.9853667,0.010897762,0.00089886243,0.0012200626,0.000010330122,0.000016472888,0.00007367346],"genre_scores_gemma":[0.92909056,0.000010124237,0.06980723,0.000055241362,0.0005964448,0.00008105239,0.0000094039015,0.000031742093,0.00031817902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808264,0.00010229588,0.0006433579,0.00014292056,0.0008170361,0.0002117339],"domain_scores_gemma":[0.9945956,0.001503146,0.0003252253,0.00037643194,0.0030820838,0.00011751129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025377686,0.00012567756,0.00026124495,0.00032181988,0.00032632114,0.00026298477,0.0010024819,0.00009722093,0.000017706743],"category_scores_gemma":[0.0019617984,0.000099515964,0.00015707877,0.00009288618,0.000063909756,0.00023440724,0.000053617405,0.00031538296,0.000005637799],"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":[0.0004226401,0.00005899573,0.000017601893,0.00006605906,0.00014395178,8.9451174e-7,0.00034189245,0.8928366,0.07151858,0.028703392,0.0037862957,0.0021031233],"study_design_scores_gemma":[0.0021007427,0.0008269313,0.0004372961,0.0002869772,0.00005201934,0.000016563543,0.00038079612,0.95670205,0.01814953,0.019884929,0.0010005374,0.00016163266],"about_ca_topic_score_codex":0.000044959095,"about_ca_topic_score_gemma":0.000096600095,"teacher_disagreement_score":0.92760354,"about_ca_system_score_codex":0.00034660855,"about_ca_system_score_gemma":0.00022716181,"threshold_uncertainty_score":0.40581432},"labels":[],"label_agreement":null},{"id":"W2616886632","doi":"10.1177/0278364917709941","title":"Cooperative gestures for industry: Exploring the efficacy of robot hand configurations in expression of instructional gestures for human–robot interaction","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Hand Gesture Recognition Systems","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":"Gesture; Nonverbal communication; Robot; Set (abstract data type); Computer science; Human–computer interaction; Human–robot interaction; Task (project management); Context (archaeology); Artificial intelligence; Action (physics); Human communication; Engineering; Communication; Psychology","score_opus":0.30864732514577775,"score_gpt":0.46609926997794515,"score_spread":0.1574519448321674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616886632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5122761,0.0001785839,0.45870456,0.022952704,0.0038119406,0.0015347789,0.00005601319,0.000010001671,0.00047531477],"genre_scores_gemma":[0.9920747,0.000036907997,0.0070134145,0.000021797188,0.0006491968,0.00006740508,0.000005217103,0.000010435438,0.000120903554],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99752223,0.00027777065,0.0007388555,0.00017313617,0.0010897913,0.00019819835],"domain_scores_gemma":[0.9925941,0.002494329,0.0008638622,0.00038273184,0.003609402,0.000055566958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026133463,0.00011752767,0.0002619433,0.00040373753,0.0006187189,0.00047482888,0.0023161354,0.00010157709,0.00000666327],"category_scores_gemma":[0.0022131845,0.00007070963,0.00014378304,0.00014684083,0.00035180463,0.000757607,0.0002845771,0.0007635457,6.633644e-7],"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":[0.0014675449,0.00083771226,0.0021423309,0.000115224575,0.00065391813,0.000015373253,0.012272164,0.37470788,0.44663915,0.12773868,0.0037117854,0.029698232],"study_design_scores_gemma":[0.010604817,0.0018384046,0.1100014,0.0035448833,0.00007280522,0.00044273856,0.005642461,0.023341147,0.80888206,0.028390206,0.0067414977,0.00049756496],"about_ca_topic_score_codex":0.00006977258,"about_ca_topic_score_gemma":0.000093155395,"teacher_disagreement_score":0.47979861,"about_ca_system_score_codex":0.000107804546,"about_ca_system_score_gemma":0.0002896064,"threshold_uncertainty_score":0.4758748},"labels":[],"label_agreement":null},{"id":"W2621263557","doi":"10.1177/0278364915587926","title":"Dynamics and trajectory optimization for a soft spatial fluidic elastomer manipulator","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":199,"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":"Soft robotics; Computer science; Fluidics; Actuator; Elastomer; Robot; Trajectory; Control engineering; Simulation; Engineering; Artificial intelligence; Aerospace engineering; Materials science","score_opus":0.07757889251026731,"score_gpt":0.34535330665927194,"score_spread":0.2677744141490046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621263557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020506876,0.00042291923,0.975505,0.0026065414,0.000562267,0.00016770746,0.000011205569,0.000016853663,0.00020062577],"genre_scores_gemma":[0.9757772,0.000165272,0.023306955,0.00003448065,0.00055669603,0.000010146848,0.000010464752,0.000029132938,0.000109644316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988986,0.000026635997,0.00024528932,0.00006371376,0.00061777176,0.00014794437],"domain_scores_gemma":[0.99842685,0.0002854722,0.0000510226,0.00009535007,0.0010359578,0.00010531584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087865046,0.00006766461,0.00009478872,0.00018643508,0.00006178917,0.000106572385,0.0003986842,0.00004408072,0.000009901516],"category_scores_gemma":[0.00021023843,0.00005238866,0.000043118,0.0001051111,0.00007128785,0.000086542146,0.000055766042,0.00024881482,0.0000041044764],"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":[0.000037017682,0.00002947529,0.00012958639,0.000006744229,0.00008278424,0.0000024349147,0.00014121548,0.991327,0.0003130392,0.003528702,0.0022627213,0.002139271],"study_design_scores_gemma":[0.0004558317,0.00007944743,0.0001715797,0.00001892163,0.000014501478,0.00005806419,0.00017523032,0.9968179,0.0002136605,0.0014316856,0.00050754694,0.000055633656],"about_ca_topic_score_codex":0.000011401638,"about_ca_topic_score_gemma":0.000020987547,"teacher_disagreement_score":0.95527035,"about_ca_system_score_codex":0.00022196128,"about_ca_system_score_gemma":0.00009839754,"threshold_uncertainty_score":0.21363476},"labels":[],"label_agreement":null},{"id":"W2759438313","doi":"10.1177/0278364917728331","title":"Exploiting the responses of magnetotactic bacteria robotic agents to enhance displacement control and swarm formation for drug delivery platforms","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","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":"Polytechnique Montréal","funders":"","keywords":"Magnetotactic bacteria; Swarm behaviour; Nanorobotics; Computer science; Drug delivery; Targeted drug delivery; Displacement (psychology); Control (management); Swarm robotics; Drug; Bacteria; Biochemical engineering; Biological system; Artificial intelligence; Nanotechnology; Engineering; Biology; Materials science; Psychology","score_opus":0.06339482159333915,"score_gpt":0.39635759988962427,"score_spread":0.3329627782962851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759438313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278717,0.00007135471,0.06492125,0.006189759,0.00039576477,0.00040524526,0.000027968452,0.0000014527686,0.000115491195],"genre_scores_gemma":[0.99730814,0.00006012111,0.0016392918,0.000057873538,0.00037138278,0.000010956143,0.0000032910884,0.00001109708,0.00053786224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849355,0.00007932647,0.00043985902,0.000090725975,0.00065374613,0.00024278206],"domain_scores_gemma":[0.99711853,0.0009814646,0.00051227113,0.00024819135,0.0010632707,0.00007624306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002359868,0.00009440465,0.00017199262,0.00012415965,0.00046272707,0.00030672675,0.0010101733,0.000018087481,0.000028910761],"category_scores_gemma":[0.00027186418,0.00005512456,0.00009155241,0.000039992552,0.00012349064,0.00036175761,0.00024439086,0.00024529872,0.000005151322],"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":[0.021091346,0.0015498762,0.043981243,0.00040000133,0.0042490014,0.00004784412,0.022598466,0.283959,0.42267412,0.06107084,0.02608789,0.112290375],"study_design_scores_gemma":[0.016985828,0.0035560902,0.08319673,0.0033258316,0.00083022285,0.0002124348,0.022810355,0.2380341,0.5522857,0.069288954,0.008053262,0.0014205197],"about_ca_topic_score_codex":0.000063016094,"about_ca_topic_score_gemma":0.000013840905,"teacher_disagreement_score":0.12961157,"about_ca_system_score_codex":0.00007566943,"about_ca_system_score_gemma":0.00012219667,"threshold_uncertainty_score":0.35589692},"labels":[],"label_agreement":null},{"id":"W2766821096","doi":"10.1177/0278364917732639","title":"TSLAM: Tethered simultaneous localization and mapping for mobile robots","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Odometry; Robot; Simultaneous localization and mapping; Mobile robot; Computer science; Computer vision; Artificial intelligence; Trajectory; Block (permutation group theory); Particle filter; Point (geometry); Range (aeronautics); Bearing (navigation); Extended Kalman filter; Filter (signal processing); Kalman filter; Engineering; Mathematics; Physics","score_opus":0.07070047902891316,"score_gpt":0.36410385052640876,"score_spread":0.2934033714974956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766821096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028469782,0.0005347251,0.9670909,0.0016990611,0.0011179777,0.00035674937,0.00000926693,0.000021125637,0.0007004365],"genre_scores_gemma":[0.9938833,0.00066336,0.0047090068,0.00003308362,0.0004541052,0.0000052116366,0.0000049632713,0.0000289559,0.00021800704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986951,0.00004760443,0.00031751336,0.00008548324,0.0006575516,0.00019675595],"domain_scores_gemma":[0.9976872,0.0006019031,0.00013512955,0.0002145905,0.0012925278,0.00006865554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010715367,0.00008800613,0.00013556553,0.00018322897,0.0003469342,0.0004365702,0.0007399644,0.00006355262,0.000010366868],"category_scores_gemma":[0.00080416823,0.000066270906,0.000055218035,0.000056093315,0.00013824506,0.000157889,0.00008862866,0.00026017847,0.0000039012384],"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":[0.000040264567,0.000018560635,0.00018750927,0.000022055518,0.00009477611,0.000019991221,0.0002540184,0.9854401,0.0021592744,0.0016014671,0.00074098783,0.009421018],"study_design_scores_gemma":[0.00050109625,0.00008725306,0.00014276004,0.000091207,0.000010073238,0.000050675302,0.00020750104,0.9914885,0.0013405186,0.0028561372,0.0031477583,0.00007652117],"about_ca_topic_score_codex":0.000013622519,"about_ca_topic_score_gemma":0.000011847566,"teacher_disagreement_score":0.9654135,"about_ca_system_score_codex":0.00011224769,"about_ca_system_score_gemma":0.000048343576,"threshold_uncertainty_score":0.42098564},"labels":[],"label_agreement":null},{"id":"W2773327434","doi":"10.1177/0278364917737153","title":"The Katwijk beach planetary rover dataset","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","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":"Queen's University","funders":"European Space Agency","keywords":"Terrain; Remote sensing; Suite; Satellite; Geology; Georeference; Computer science; Mars Exploration Program; Exploration of Mars; Mars rover; Ranging; Artificial intelligence; Geography; Aerospace engineering; Geodesy; Astrobiology; Engineering; Cartography","score_opus":0.1155113081380163,"score_gpt":0.40278964891118196,"score_spread":0.28727834077316566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773327434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47627327,0.0015171935,0.01752721,0.44635713,0.015084001,0.0010418635,0.0033300978,0.000020592342,0.03884862],"genre_scores_gemma":[0.99724966,0.000061569444,0.00019723423,0.000074515716,0.0013022398,8.817931e-7,0.00045492352,0.0000039001725,0.0006550953],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998334,0.00008635897,0.00020532301,0.00007008712,0.0011157653,0.00018847153],"domain_scores_gemma":[0.9986048,0.00039515248,0.00021601036,0.00035781835,0.00036919463,0.000057072255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022022182,0.000054009284,0.00006655355,0.000054054646,0.00092396524,0.0007934615,0.0027051107,0.000013624971,0.00006092755],"category_scores_gemma":[0.00010243844,0.000027521364,0.000041745476,0.000031831492,0.00024958292,0.0005227963,0.00021800915,0.00045374184,0.00017560805],"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":[0.0003925856,0.00015785891,0.04416841,0.0000024761353,0.0006029492,0.00009710205,0.0005954402,0.050027583,0.0014213219,0.03890708,0.8282314,0.035395823],"study_design_scores_gemma":[0.0015558089,0.000359196,0.05784505,0.00010717751,0.00005302235,0.00015836032,0.0025896374,0.04731394,0.0015288255,0.10671185,0.7814569,0.00032022747],"about_ca_topic_score_codex":0.0002084026,"about_ca_topic_score_gemma":0.000048108162,"teacher_disagreement_score":0.52097636,"about_ca_system_score_codex":0.000022520382,"about_ca_system_score_gemma":0.00013791368,"threshold_uncertainty_score":0.7651368},"labels":[],"label_agreement":null},{"id":"W2774242658","doi":"10.1177/0278364917741969","title":"Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Underwater Vehicles and Communication Systems","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":"University of New Brunswick; Université de Montréal","funders":"","keywords":"Computer science; Probabilistic logic; Mobile robot; Robot; Motion planning; A priori and a posteriori; Bounded function; Estimator; Real-time computing; Artificial intelligence; Mathematics","score_opus":0.0870086234995901,"score_gpt":0.35311113270736616,"score_spread":0.26610250920777606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774242658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69698375,0.0010217441,0.28679767,0.009963572,0.00047195007,0.0012796648,0.000020339488,0.000049515686,0.0034117636],"genre_scores_gemma":[0.9984569,0.00026244644,0.0006979208,0.000033780834,0.00016617349,0.00003684891,0.000001947392,0.000015153878,0.00032881126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987723,0.00008497415,0.000313795,0.00008829708,0.0005807833,0.00015983109],"domain_scores_gemma":[0.99824744,0.00020420861,0.00011190757,0.00032406976,0.001017646,0.00009472447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012099551,0.00008118225,0.00013532661,0.00013949978,0.0003037166,0.00047645217,0.0013896851,0.000036954316,0.000010549167],"category_scores_gemma":[0.000079381534,0.000059376947,0.00003332253,0.000066301865,0.000063943306,0.00019678383,0.00032057043,0.00036672884,0.000026263213],"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":[0.00003985381,0.000046839097,0.00022468441,0.000024659781,0.00017808273,0.000010582066,0.0019047408,0.90890974,0.072624266,0.0019643174,0.00026069224,0.01381152],"study_design_scores_gemma":[0.0012505774,0.00031549777,0.0072448063,0.00041181958,0.00002169755,0.00032281008,0.0013016054,0.93635845,0.022555303,0.0038765408,0.025990274,0.00035059502],"about_ca_topic_score_codex":0.000021637761,"about_ca_topic_score_gemma":0.000019903593,"teacher_disagreement_score":0.30147314,"about_ca_system_score_codex":0.00020265175,"about_ca_system_score_gemma":0.000063100735,"threshold_uncertainty_score":0.45944393},"labels":[],"label_agreement":null},{"id":"W2782673766","doi":"10.1177/0278364917749732","title":"Inferring sun direction to improve visual odometry: A deep learning approach","year":2018,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","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":"University of Toronto","funders":"","keywords":"Visual odometry; Artificial intelligence; Odometry; Pipeline (software); Computer vision; Computer science; Orientation (vector space); Robot; Mathematics; Mobile robot","score_opus":0.03991735156067796,"score_gpt":0.35111873518514003,"score_spread":0.3112013836244621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782673766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16179447,0.00013250722,0.83066815,0.000763916,0.0017780007,0.0001651531,0.0000010068668,0.000049832466,0.004646936],"genre_scores_gemma":[0.99211913,0.00010281645,0.0059426487,0.000042022628,0.0015015552,0.0000025821764,0.0000031167453,0.00003494738,0.00025115753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978706,0.00013170442,0.00036422725,0.00011142544,0.0012375572,0.00028445688],"domain_scores_gemma":[0.9977857,0.00024963965,0.000073192736,0.0001157623,0.0016509502,0.00012479568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017912788,0.00010396001,0.00014154063,0.00065688783,0.0001672094,0.00024664224,0.00056969497,0.00006379275,0.000031498985],"category_scores_gemma":[0.00069698656,0.00007999954,0.00006968613,0.0005503916,0.00008518042,0.00015172963,0.00012994336,0.00068470545,0.000048922233],"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":[0.00006671991,0.000041706815,0.0004145331,0.000009315741,0.00012221897,0.000007937914,0.00051463966,0.97193396,0.012352535,0.00085810176,0.0003478808,0.013330463],"study_design_scores_gemma":[0.0003107162,0.00033402164,0.0006740976,0.000047999492,0.0000106400175,0.000058361675,0.0003369293,0.9883302,0.0071307397,0.00028046465,0.0023799697,0.00010588137],"about_ca_topic_score_codex":0.000026886692,"about_ca_topic_score_gemma":0.000013838294,"teacher_disagreement_score":0.8303247,"about_ca_system_score_codex":0.00031750588,"about_ca_system_score_gemma":0.000047682202,"threshold_uncertainty_score":0.32622865},"labels":[],"label_agreement":null},{"id":"W2791820620","doi":"10.1177/0278364918754677","title":"Mobile manipulator planning under uncertainty in unknown environments","year":2018,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","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":"Simon Fraser University","funders":"","keywords":"Mobile manipulator; Manipulator (device); Motion planning; Computer science; Mobile robot; Control engineering; Artificial intelligence; Engineering; Robot","score_opus":0.11520060307555305,"score_gpt":0.4079702508878658,"score_spread":0.29276964781231274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791820620","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082886875,0.00041905086,0.90835136,0.0044755,0.0024566592,0.00022319707,0.0000016038607,0.000017505841,0.001168274],"genre_scores_gemma":[0.9597465,0.000046908124,0.03867375,0.00020121865,0.0006309378,0.0000039478355,9.4127233e-7,0.000011982415,0.0006838267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967135,0.00027618476,0.0004462312,0.00018793235,0.002006098,0.0003700625],"domain_scores_gemma":[0.9984154,0.00050146953,0.00018917282,0.00034813734,0.0004421238,0.00010367266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031950984,0.000103137565,0.0001505517,0.0004546403,0.00012864296,0.0002284967,0.003447183,0.000058031037,0.00001886565],"category_scores_gemma":[0.00021227881,0.00007269032,0.000058672704,0.00035571493,0.00024232805,0.000320228,0.00067616516,0.0007127112,0.00008829438],"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":[0.00004098987,0.0001043317,0.0012838559,0.0000015405565,0.00006906887,0.00024176396,0.0015329468,0.98532504,0.0015078424,0.0063803876,0.00091046124,0.0026017686],"study_design_scores_gemma":[0.0009449862,0.0006288184,0.0061797854,0.00022921844,0.000005035037,0.00048094813,0.0004791298,0.9710995,0.00086086325,0.014612402,0.004308341,0.00017095328],"about_ca_topic_score_codex":0.00003278321,"about_ca_topic_score_gemma":0.0000034437442,"teacher_disagreement_score":0.8768596,"about_ca_system_score_codex":0.00042577044,"about_ca_system_score_gemma":0.00020941907,"threshold_uncertainty_score":0.6405781},"labels":[],"label_agreement":null},{"id":"W2802892321","doi":"10.1177/0278364918772024","title":"Active sensing for motion planning in uncertain environments via mutual information policies","year":2018,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Optimization and Search Problems","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":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Scalability; Motion planning; A priori and a posteriori; Computer science; Graph; Path (computing); Mathematical optimization; Enhanced Data Rates for GSM Evolution; Upper and lower bounds; Artificial intelligence; Theoretical computer science; Mathematics","score_opus":0.10789083253299162,"score_gpt":0.4120741131170773,"score_spread":0.3041832805840857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802892321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006665426,0.000009003915,0.9835753,0.008802665,0.00033049777,0.00015819015,0.000001720072,0.0000044826297,0.0004527252],"genre_scores_gemma":[0.9358476,0.000030911433,0.06327237,0.00038597602,0.0003239353,0.0000021254993,0.0000047160456,0.000005556655,0.00012685357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981544,0.0001632325,0.00032245592,0.0000695628,0.0010734781,0.0002168979],"domain_scores_gemma":[0.9981894,0.0003963985,0.00016725509,0.00011673855,0.001079275,0.000050936844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021840744,0.00005593249,0.0000770236,0.00053494575,0.00014653645,0.00026241475,0.00094498234,0.000035513818,0.0000059443996],"category_scores_gemma":[0.0005107422,0.00004142265,0.000036672827,0.00025131766,0.00012634328,0.0010418823,0.00023623592,0.00028586268,0.000017839011],"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":[0.00033617375,0.00010019597,0.000443472,0.0000081135895,0.00010072166,0.000014351448,0.019500013,0.81290966,0.0029703628,0.020129962,0.001570778,0.1419162],"study_design_scores_gemma":[0.00061493507,0.00022202784,0.001148062,0.000057330035,0.0000013926406,0.000054256736,0.00066901284,0.9833187,0.0025945592,0.009230457,0.002033717,0.000055535984],"about_ca_topic_score_codex":0.000034529032,"about_ca_topic_score_gemma":0.0000071283675,"teacher_disagreement_score":0.9291821,"about_ca_system_score_codex":0.0002866514,"about_ca_system_score_gemma":0.00011745201,"threshold_uncertainty_score":0.25304714},"labels":[],"label_agreement":null},{"id":"W2893116672","doi":"10.1177/0278364918801560","title":"ISER 2016 Editorial","year":2018,"lang":"es","type":"article","venue":"The International Journal of Robotics Research","topic":"Academic Publishing and Open Access","field":"Decision Sciences","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":"Computer science","score_opus":0.1968722547776201,"score_gpt":0.5325475022212118,"score_spread":0.33567524744359173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893116672","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05735316,0.002075963,0.009654747,0.3265907,0.55022156,0.00040303767,0.00007452266,0.000017847946,0.053608455],"genre_scores_gemma":[0.65561193,0.0009842466,0.0007483214,0.0005143674,0.3284932,0.0000011361533,0.0000012587808,0.000024556106,0.013620985],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98145616,0.001191131,0.0013454972,0.0003003315,0.015153069,0.0005537844],"domain_scores_gemma":[0.9700074,0.0064388798,0.00091591006,0.00054779643,0.021788305,0.0003017066],"candidate_categories":["metaresearch","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.041971546,0.00016369054,0.00032430983,0.0010187327,0.00052759016,0.0066830544,0.017025597,0.0002922861,0.0011902694],"category_scores_gemma":[0.029532328,0.00008870564,0.00023767611,0.0010426743,0.0014113712,0.0020279957,0.0022719956,0.0029396643,0.0019114002],"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":[0.0005404326,0.00008685632,0.0014013215,0.0000016339127,0.00018980597,0.000035332123,0.0006634499,0.00056000485,0.00035145754,0.007042267,0.9739729,0.015154517],"study_design_scores_gemma":[0.00081117224,0.00039051022,0.0011295755,0.0003107905,0.00002239967,0.0001473486,0.0011176467,0.0024237675,0.0010546257,0.04418963,0.94826114,0.00014138178],"about_ca_topic_score_codex":0.000147685,"about_ca_topic_score_gemma":0.000010077715,"teacher_disagreement_score":0.5982588,"about_ca_system_score_codex":0.00033020816,"about_ca_system_score_gemma":0.0022217687,"threshold_uncertainty_score":0.9997228},"labels":[],"label_agreement":null},{"id":"W2894561081","doi":"10.1177/0278364918802346","title":"Picking, grasping, or scooping small objects lying on flat surfaces: A design approach","year":2018,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":67,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"GRASP; Parallelogram; Revolute joint; Object (grammar); Set (abstract data type); Computer vision; Computer science; Artificial intelligence; Robot; Kinematics; Mechanism (biology); Engineering; Simulation","score_opus":0.3085729636632209,"score_gpt":0.39203213563314165,"score_spread":0.08345917196992075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894561081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051087376,0.00024553965,0.9374712,0.0008460659,0.0016618642,0.00027087916,2.2983862e-7,0.000077576384,0.008339232],"genre_scores_gemma":[0.97757834,0.000119522585,0.020468995,0.00008962731,0.0009800037,0.0000025749296,0.00000119786,0.00004078096,0.0007189848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976263,0.00026357372,0.00040996305,0.00012746132,0.0012295357,0.000343185],"domain_scores_gemma":[0.9979405,0.0006760349,0.00012446736,0.00018555492,0.0009766506,0.000096802985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027501902,0.00013388244,0.00016943242,0.00048930815,0.0002006846,0.00032706396,0.0010220087,0.00006873225,0.0000782238],"category_scores_gemma":[0.00070165074,0.00008926275,0.00007699736,0.00034521084,0.00012440348,0.0001598303,0.0001132643,0.0009152082,0.00007361166],"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":[0.00011279766,0.000022184815,0.00032194145,0.000015668033,0.00014445189,0.000034077315,0.0013042414,0.9927325,0.0018836922,0.000914759,0.0012479292,0.0012657491],"study_design_scores_gemma":[0.0005510377,0.0003314775,0.0007231215,0.00042388376,0.0000113984515,0.00019506706,0.0006170345,0.9929516,0.002936002,0.00044228073,0.00066335395,0.00015376446],"about_ca_topic_score_codex":0.000015899115,"about_ca_topic_score_gemma":0.000016871802,"teacher_disagreement_score":0.92649096,"about_ca_system_score_codex":0.0002601782,"about_ca_system_score_gemma":0.00013705222,"threshold_uncertainty_score":0.39761752},"labels":[],"label_agreement":null},{"id":"W2899953468","doi":"10.1177/02783649221077714","title":"Reactive task and motion planning for robust whole-body dynamic locomotion in constrained environments","year":2022,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","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 Waterloo","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Correctness; Computer science; Robot; Motion planning; Reachability; Robustness (evolution); Task (project management); Set (abstract data type); Robot locomotion; Planner; Control engineering; Artificial intelligence; Engineering; Mobile robot; Robot control; Theoretical computer science","score_opus":0.040530817225366944,"score_gpt":0.32335434297058563,"score_spread":0.2828235257452187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899953468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1094713,0.00036998413,0.88020885,0.008052642,0.0009332113,0.0005690496,0.000033985238,0.000016154008,0.00034483534],"genre_scores_gemma":[0.99832875,0.000039070383,0.0013060805,0.00003105846,0.000084012514,0.000021492355,0.000014217376,0.000016149324,0.00015918982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985261,0.00015072332,0.00030821143,0.000088192566,0.0007435123,0.00018327314],"domain_scores_gemma":[0.9993495,0.00032110946,0.000084755746,0.00007942892,0.00011731822,0.00004794157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016294225,0.00007601988,0.000121588026,0.00034593107,0.00012345263,0.000063030704,0.00037432628,0.000028732231,0.00002730603],"category_scores_gemma":[0.00009698823,0.00006560243,0.00004719668,0.000111144094,0.000073305964,0.00013117993,0.00009627885,0.0006044049,0.0000022868517],"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":[0.00010591158,0.0000663766,0.00026833877,0.0000055600767,0.00009094355,0.00002818092,0.00045903286,0.97735995,0.01717787,0.0006246738,0.00017498602,0.0036382005],"study_design_scores_gemma":[0.0017190843,0.00015574045,0.0030891383,0.000040015926,0.000010709798,0.00017183331,0.0013872352,0.9904119,0.00016168406,0.0021049613,0.0006737969,0.00007390932],"about_ca_topic_score_codex":0.0000052250016,"about_ca_topic_score_gemma":0.0000033853048,"teacher_disagreement_score":0.8888574,"about_ca_system_score_codex":0.00052421284,"about_ca_system_score_gemma":0.000037562935,"threshold_uncertainty_score":0.26751894},"labels":[],"label_agreement":null},{"id":"W2939122829","doi":"10.1177/0278364919839761","title":"Semantic–geometric visual place recognition: a new perspective for reconciling opposing views","year":2019,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":98,"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":"Australian Centre for Robotic Vision; Queensland University of Technology; Canadian Institute for Advanced Research","keywords":"Computer science; Artificial intelligence; Robustness (evolution); Salient; Convolutional neural network; Computer vision; Benchmark (surveying); Feature (linguistics); Pattern recognition (psychology); Geography","score_opus":0.13745240750163487,"score_gpt":0.39258784392982965,"score_spread":0.2551354364281948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939122829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1671005,0.0021115686,0.8130047,0.008147734,0.0042384025,0.0008941956,0.000016066437,0.000052116055,0.0044347327],"genre_scores_gemma":[0.9801591,0.0008456456,0.015852276,0.00012280187,0.0016836246,0.000003631089,0.000013749923,0.0000629166,0.0012562515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980925,0.000089525805,0.0004395926,0.00012027694,0.0009972984,0.00026085833],"domain_scores_gemma":[0.9962967,0.0010145322,0.000117977055,0.00011855129,0.0023466747,0.00010557876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018256005,0.0001098798,0.00019513798,0.0006588632,0.00008576396,0.0002224723,0.00052173604,0.000067569476,0.00009552371],"category_scores_gemma":[0.0006793775,0.00008603844,0.00013661808,0.00047869055,0.00003658801,0.00019665046,0.000053388554,0.00048952625,0.000071650145],"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":[0.00015318864,0.000038470618,0.00009705737,0.000027019685,0.00021946197,0.0000111512545,0.0005273238,0.9822799,0.0031924655,0.0012177443,0.0040067905,0.008229418],"study_design_scores_gemma":[0.001579778,0.00043514118,0.00008829546,0.00035640397,0.00004090534,0.00018166937,0.0022001269,0.9770238,0.008091065,0.0058891783,0.0038991685,0.00021446575],"about_ca_topic_score_codex":0.000024914747,"about_ca_topic_score_gemma":0.000014062971,"teacher_disagreement_score":0.8130586,"about_ca_system_score_codex":0.0005395571,"about_ca_system_score_gemma":0.00022895758,"threshold_uncertainty_score":0.35085458},"labels":[],"label_agreement":null},{"id":"W2963106920","doi":"10.1177/0278364920910802","title":"Improving user specifications for robot behavior through active preference learning: Framework and evaluation","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Robot; Process (computing); Preference; Preference elicitation; Preference learning; Task analysis; Active learning (machine learning)","score_opus":0.4275317402355947,"score_gpt":0.4292571667206051,"score_spread":0.001725426485010395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963106920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059069876,0.00036236158,0.93044513,0.008637839,0.00048018282,0.00051246263,0.0000020544776,0.00003600601,0.00045409612],"genre_scores_gemma":[0.9778736,0.00016936466,0.021223838,0.000050717954,0.000563965,0.000021425225,0.000006450333,0.000022855042,0.00006774103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983693,0.00013793485,0.00029225403,0.00010704165,0.000934609,0.00015889778],"domain_scores_gemma":[0.99753714,0.0007905471,0.00012141562,0.000084950734,0.0013927572,0.00007318139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009851101,0.000080963975,0.00010964777,0.000100356796,0.0001602032,0.00019050908,0.00044258413,0.000060172493,0.00008044257],"category_scores_gemma":[0.0016630383,0.00006483069,0.000053079253,0.0001659494,0.000060600814,0.00028092065,0.000074307485,0.0009000444,0.000009885395],"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":[0.00005280117,0.000017775314,0.00066984945,0.000011213005,0.00007250727,0.0000018513509,0.0021521635,0.9734004,0.005086922,0.0048871846,0.00032692615,0.013320405],"study_design_scores_gemma":[0.00055074965,0.00016466941,0.007937955,0.00006616792,0.00005564665,0.000023524039,0.0020617754,0.9819922,0.0019332067,0.0021211368,0.0029755721,0.000117400894],"about_ca_topic_score_codex":0.000006428451,"about_ca_topic_score_gemma":0.000002690899,"teacher_disagreement_score":0.91880375,"about_ca_system_score_codex":0.00013498553,"about_ca_system_score_gemma":0.00008125814,"threshold_uncertainty_score":0.3910295},"labels":[],"label_agreement":null},{"id":"W2967052728","doi":"10.1177/0278364919868290","title":"Multi-objective optimal control for proactive decision making with temporal logic models","year":2019,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Bayesian Modeling and Causal Inference","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":"Office of Naval Research","keywords":"Computer science; Leverage (statistics); Artificial intelligence; Machine learning; Robot; Reinforcement learning; Generative model; Generative grammar; Human–computer interaction","score_opus":0.13921616439573012,"score_gpt":0.4137220826757652,"score_spread":0.2745059182800351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967052728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012659918,0.000070237125,0.98410565,0.0023199199,0.00030876967,0.00034380713,0.0000039213796,0.000009650046,0.00017813119],"genre_scores_gemma":[0.66365725,0.000009072718,0.33606693,0.00009382272,0.00008639141,0.000005945271,2.9898953e-7,0.0000070487235,0.0000732532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764246,0.00014926915,0.00030438928,0.00020656014,0.0014210434,0.00027626436],"domain_scores_gemma":[0.99479157,0.0011932093,0.00021977689,0.00023547211,0.0034945873,0.00006536773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024393613,0.000104370745,0.00017783075,0.000256261,0.00011889958,0.00035932916,0.0021762413,0.000051385152,0.0000048921274],"category_scores_gemma":[0.00019437581,0.000060148588,0.000089774876,0.00018841526,0.00008712062,0.0006021932,0.00022995476,0.0005700682,0.0000110736355],"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":[0.00093599636,0.000118638956,0.00020374864,0.0000034896643,0.0001847495,0.000024500398,0.0006530636,0.94078743,0.00041835374,0.048467334,0.000098878285,0.008103807],"study_design_scores_gemma":[0.0012697411,0.0006107235,0.00018982001,0.00013960138,0.0000067067726,0.00013632733,0.00018422357,0.9494188,0.00022183532,0.04773067,0.000013397808,0.00007817069],"about_ca_topic_score_codex":0.000010975024,"about_ca_topic_score_gemma":0.000005730861,"teacher_disagreement_score":0.65099734,"about_ca_system_score_codex":0.00019139377,"about_ca_system_score_gemma":0.00044899108,"threshold_uncertainty_score":0.4044034},"labels":[],"label_agreement":null},{"id":"W2968260248","doi":"10.1177/0278364919867397","title":"Attitude estimation for collision recovery of a quadcopter unmanned aerial vehicle","year":2019,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Target Tracking and Data Fusion in Sensor Networks","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quadcopter; Inertial measurement unit; Collision; Kalman filter; Computer science; Extended Kalman filter; Control theory (sociology); Estimator; Simulation; Real-time computing; Algorithm; Engineering; Artificial intelligence; Mathematics; Aerospace engineering","score_opus":0.06020507179442011,"score_gpt":0.3742501576449333,"score_spread":0.31404508585051316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968260248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23343167,0.00012556506,0.75509125,0.0069042942,0.003767035,0.00030212823,0.000017554057,0.000011877456,0.00034862696],"genre_scores_gemma":[0.9036573,0.00010582494,0.09540094,0.00008572931,0.00041663623,0.0000023687583,0.00000704434,0.000009066411,0.00031506154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774903,0.00014896951,0.00044965727,0.00013014629,0.0013363028,0.0001858965],"domain_scores_gemma":[0.99619484,0.00139369,0.00028718926,0.0003089304,0.0017637869,0.000051540694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026196693,0.00006733915,0.00015201834,0.00024621582,0.00008122663,0.00020942662,0.001965066,0.000055439785,0.000027516917],"category_scores_gemma":[0.00046576688,0.0000462256,0.00011300336,0.00021072035,0.000059469145,0.0004016518,0.00033080523,0.00028833325,0.00002973112],"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":[0.0008454236,0.00014734032,0.00028197162,0.000018256465,0.00011822984,0.000009432387,0.00031666993,0.9351098,0.006169338,0.026857473,0.011159727,0.018966325],"study_design_scores_gemma":[0.0018560471,0.0010904385,0.0012763413,0.00032760677,0.0000115881685,0.00008011766,0.00008949731,0.95577323,0.009841817,0.026109846,0.0034130395,0.00013039754],"about_ca_topic_score_codex":0.000021514343,"about_ca_topic_score_gemma":0.0000044632307,"teacher_disagreement_score":0.6702257,"about_ca_system_score_codex":0.00008881143,"about_ca_system_score_gemma":0.0001686999,"threshold_uncertainty_score":0.36516145},"labels":[],"label_agreement":null},{"id":"W2987061965","doi":"10.1177/0278364919886047","title":"Tendon-driven continuum robots with extensible sections—A model-based evaluation of path-following motions","year":2019,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":192,"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":"Deutsche Forschungsgemeinschaft","keywords":"Robot; Concentric; Actuator; Simulation; Computer science; Control theory (sociology); Engineering; Artificial intelligence; Geometry; Mathematics; Control (management)","score_opus":0.06580212772578617,"score_gpt":0.3730373882623292,"score_spread":0.30723526053654304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987061965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6697499,0.00023339964,0.32503846,0.0016136335,0.00070394925,0.0004771188,0.000013338816,0.000028375605,0.0021417977],"genre_scores_gemma":[0.9864256,0.00003506439,0.013230761,0.000016544931,0.00012300536,0.0000133270905,0.0000075524445,0.00002726029,0.00012090508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719316,0.000095558826,0.00039219318,0.00010442806,0.002015798,0.00019887894],"domain_scores_gemma":[0.99583477,0.00030644797,0.00013429722,0.000274082,0.0033841117,0.000066292276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018861162,0.00010037303,0.00017683994,0.00034490915,0.00008806308,0.00007890143,0.0006177767,0.000050512674,0.00003292739],"category_scores_gemma":[0.00016064398,0.00007212819,0.00011403543,0.00039993686,0.00006747396,0.00014906183,0.000049390448,0.0004644865,0.000016394963],"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":[0.000017860668,0.00007436241,0.0014787789,0.000008534345,0.00019574724,0.0000027306583,0.00009701535,0.9813233,0.014431079,0.001502127,0.00043924616,0.00042919445],"study_design_scores_gemma":[0.0008522179,0.00008455597,0.0020382167,0.00014749341,0.00006949092,0.000024792162,0.00015340761,0.99057335,0.0041374895,0.0018063796,0.000036423193,0.00007619893],"about_ca_topic_score_codex":0.000011563463,"about_ca_topic_score_gemma":0.000022164892,"teacher_disagreement_score":0.31667566,"about_ca_system_score_codex":0.00024108353,"about_ca_system_score_gemma":0.00037425593,"threshold_uncertainty_score":0.29413024},"labels":[],"label_agreement":null},{"id":"W2991472473","doi":"10.1177/0278364920937608","title":"Exactly sparse Gaussian variational inference with application to derivative-free batch nonlinear state estimation","year":2020,"lang":"en","type":"preprint","venue":"The International Journal of Robotics Research","topic":"Gaussian Processes and Bayesian Inference","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":"McGill University; Institute for Christian Studies; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariance; Mathematics; Maximum a posteriori estimation; Gaussian; Covariance matrix; Mathematical optimization; Nonlinear system; Algorithm; Estimation of covariance matrices; Inference; Applied mathematics; Computer science; Artificial intelligence; Statistics","score_opus":0.06681865901031304,"score_gpt":0.37321802186024255,"score_spread":0.3063993628499295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991472473","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078851555,0.000021162785,0.76235944,0.23594622,0.00025750228,0.00033448183,0.000024173689,0.000024530875,0.00024395424],"genre_scores_gemma":[0.49347225,0.00006114336,0.5037937,0.0020322488,0.0004967704,0.00003270076,0.000021745202,0.000024786725,0.00006461746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9943496,0.00027995463,0.0008006362,0.0005066012,0.0036676533,0.00039557586],"domain_scores_gemma":[0.9924681,0.0008193208,0.0008199278,0.0008968296,0.0047332323,0.00026255622],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0018549868,0.00027724262,0.00033994205,0.00054318743,0.00019169158,0.0013755284,0.008563682,0.00013580479,0.00001869302],"category_scores_gemma":[0.0013001938,0.00019082917,0.000096463424,0.0007937115,0.00015394467,0.0005738613,0.0032102847,0.0022593911,0.000067340196],"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":[0.00029334996,0.00020963725,0.00045396914,0.00009853052,0.0003973788,0.00022381067,0.0029425232,0.8710716,0.0005201778,0.09593753,0.004209098,0.02364242],"study_design_scores_gemma":[0.00044676085,0.00035906117,0.0031344683,0.00037261192,0.00001705194,0.000118415206,0.000050090082,0.7357468,0.000828389,0.25777072,0.0008911568,0.0002644787],"about_ca_topic_score_codex":0.00008992071,"about_ca_topic_score_gemma":0.000035309356,"teacher_disagreement_score":0.49268374,"about_ca_system_score_codex":0.0003709058,"about_ca_system_score_gemma":0.0024152626,"threshold_uncertainty_score":0.99966115},"labels":[],"label_agreement":null},{"id":"W3004135102","doi":"10.1177/0278364920979368","title":"Canadian Adverse Driving Conditions dataset","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Christian Studies; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adverse weather; Lidar; Frame (networking); Ground truth; Scale (ratio); Tracking (education)","score_opus":0.08187123409436013,"score_gpt":0.39725463249071075,"score_spread":0.3153833983963506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004135102","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18628207,0.00008966359,0.08891812,0.70945096,0.0012556954,0.00041020598,0.0015388803,0.000050351693,0.01200405],"genre_scores_gemma":[0.99455523,0.0000062104727,0.0046542156,0.00026989644,0.0004053453,5.3339517e-7,0.00005429641,0.000006992137,0.00004726481],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989609,0.000045420136,0.00018401012,0.000068606794,0.00054540084,0.00019566313],"domain_scores_gemma":[0.99878967,0.00029940662,0.0000735291,0.00011659313,0.00055901054,0.00016181216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000326167,0.000050456954,0.00007729544,0.00011617041,0.00013496394,0.00006485691,0.00094323413,0.000018357012,0.0002512788],"category_scores_gemma":[0.0003387651,0.00003591664,0.000044285145,0.0001555998,0.0001501208,0.0001306034,0.00019654055,0.00060187397,0.000087559514],"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":[0.0000810285,0.00012452519,0.025552625,0.0000040890727,0.00077277713,0.00040336166,0.0006009171,0.2152025,0.0062392163,0.50656176,0.23314326,0.011313922],"study_design_scores_gemma":[0.0029215459,0.00069940736,0.008935661,0.00035365988,0.00012579406,0.00020126066,0.012543297,0.08429592,0.015003161,0.50008404,0.37401354,0.00082273403],"about_ca_topic_score_codex":0.0017088074,"about_ca_topic_score_gemma":0.00057130633,"teacher_disagreement_score":0.8082732,"about_ca_system_score_codex":0.00012059844,"about_ca_system_score_gemma":0.00025693534,"threshold_uncertainty_score":0.2751327},"labels":[],"label_agreement":null},{"id":"W3004407706","doi":"10.1177/0278364919890396","title":"Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":189,"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; Ontario Ministry of Research, Innovation and Science","keywords":"Heuristics; A priori and a posteriori; Motion planning; Domain (mathematical analysis); Path (computing); Asymptotically optimal algorithm; Random search; Approximation algorithm; Robotics","score_opus":0.12546302209377705,"score_gpt":0.39194445326996863,"score_spread":0.2664814311761916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004407706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018472694,0.0001640404,0.8207474,0.1545146,0.0012139274,0.0003349486,0.000008918122,0.00008047342,0.0044630347],"genre_scores_gemma":[0.55101275,0.00024554576,0.44461507,0.0018877184,0.0015643751,0.0000053330336,0.0000068297895,0.000035130855,0.0006272494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931292,0.00031497213,0.0008719677,0.00024955306,0.0047532977,0.0006809961],"domain_scores_gemma":[0.9932074,0.0025445328,0.0002622014,0.00043174293,0.0030596952,0.0004944039],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003204623,0.00019273047,0.00031145924,0.0004721135,0.00022458012,0.0009015346,0.0073791654,0.00010807257,0.00005538311],"category_scores_gemma":[0.0035290231,0.0001325972,0.00018131669,0.0008924152,0.00032696716,0.0010253004,0.0015868368,0.0016498711,0.0002716206],"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":[0.00038696898,0.00018897692,0.0012128381,0.00002998723,0.000557891,0.0008970554,0.00956296,0.91698056,0.0015666217,0.02342556,0.023610417,0.021580176],"study_design_scores_gemma":[0.0014773095,0.0010177294,0.0036940384,0.00016443444,0.000013556192,0.0007096446,0.0006461684,0.9852015,0.0019857239,0.001087693,0.0037513657,0.00025084068],"about_ca_topic_score_codex":0.000023415347,"about_ca_topic_score_gemma":0.0000032967744,"teacher_disagreement_score":0.53254,"about_ca_system_score_codex":0.00034746554,"about_ca_system_score_gemma":0.0023728937,"threshold_uncertainty_score":0.9979914},"labels":[],"label_agreement":null},{"id":"W3011374674","doi":"10.1177/0278364920908922","title":"The Canadian Planetary Emulation Terrain Energy-Aware Rover Navigation Dataset","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Inertial measurement unit; Terrain; Global Positioning System; Mars Exploration Program; Remote sensing; Robot; Artificial intelligence; Real-time computing; Geography","score_opus":0.08275221228808084,"score_gpt":0.3447958770203047,"score_spread":0.26204366473222385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011374674","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14750269,0.000535828,0.08265494,0.7538054,0.0039610034,0.0007868872,0.004457233,0.000027154885,0.0062688417],"genre_scores_gemma":[0.9953632,0.00001426065,0.00009286509,0.00042759284,0.0010041038,9.4372103e-7,0.0030328287,0.0000043174755,0.00005992787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983905,0.00012988214,0.00023175716,0.00007940214,0.0009842931,0.00018419125],"domain_scores_gemma":[0.99901366,0.00022508093,0.0001183524,0.000106665524,0.00039201093,0.00014422835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009251127,0.00005798731,0.000060472586,0.000073669624,0.0004248742,0.00033209583,0.00088218023,0.000019684721,0.00006925656],"category_scores_gemma":[0.000031175052,0.00003434155,0.000033446217,0.00014857824,0.00008908555,0.00036828534,0.00005856356,0.0003505009,0.00008636246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003026876,0.00005333395,0.015576227,0.0000041779244,0.00038862106,0.00009104239,0.0023630105,0.47592226,0.0011763019,0.027615925,0.44145972,0.03504669],"study_design_scores_gemma":[0.00066576526,0.00023948311,0.005136866,0.00005260578,0.000026077532,0.00004607227,0.002418741,0.6590185,0.0006064573,0.024918955,0.3066599,0.00021056739],"about_ca_topic_score_codex":0.015626233,"about_ca_topic_score_gemma":0.0114399465,"teacher_disagreement_score":0.84786046,"about_ca_system_score_codex":0.0000727033,"about_ca_system_score_gemma":0.00038378488,"threshold_uncertainty_score":0.99092877},"labels":[],"label_agreement":null},{"id":"W3016727646","doi":"10.1177/0278364920913926","title":"Modeling and analysis of soft robotic fingers using the fin ray effect","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GRASP; Grippers; Computer science; Stiffness; Object (grammar); Artificial intelligence; Simulation; Engineering; Mechanical engineering; Structural engineering","score_opus":0.09795730571816304,"score_gpt":0.3699678513885222,"score_spread":0.27201054567035915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016727646","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36923432,0.0007069441,0.62471235,0.005044843,0.00013172852,0.00010768415,0.000004522583,0.000009409041,0.00004820724],"genre_scores_gemma":[0.99633884,0.00017582581,0.0032604185,0.0000490668,0.00015309535,0.0000012588346,0.0000016753962,0.000013909355,0.000005912916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857765,0.00008802674,0.00034644923,0.00007521357,0.00076385966,0.0001487757],"domain_scores_gemma":[0.9983493,0.000882976,0.000071429626,0.00013397589,0.00049052824,0.00007180285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011552206,0.00007858537,0.00020717333,0.00024176048,0.0000944395,0.00009413772,0.00069632323,0.000033005905,0.0000132360765],"category_scores_gemma":[0.00034081735,0.000047529695,0.0001302012,0.0006316111,0.00009838954,0.000062251966,0.00012155432,0.000457459,0.000001552679],"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":[0.000018901655,0.0000080428745,0.00044282596,0.000010751902,0.00089724665,0.0000035351995,0.0004980888,0.99129367,0.005704219,0.0004381456,0.00007624188,0.00060833927],"study_design_scores_gemma":[0.0001381963,0.00003460638,0.00018686861,0.000026924115,0.00023293229,0.000008470213,0.00014928584,0.99839264,0.0005317208,0.00023269492,0.000022304315,0.000043357813],"about_ca_topic_score_codex":0.000023652075,"about_ca_topic_score_gemma":0.0000050291706,"teacher_disagreement_score":0.6271045,"about_ca_system_score_codex":0.000060088,"about_ca_system_score_gemma":0.000047237187,"threshold_uncertainty_score":0.19874571},"labels":[],"label_agreement":null},{"id":"W3031923123","doi":"10.1177/0278364920913945","title":"The effects of reduced-gravity on planetary rover mobility","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soil Mechanics and Vehicle Dynamics","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Canada Foundation for Innovation","keywords":"Martian soil; Martian; Mars Exploration Program; Traction (geology); Regolith; Geology; Terrain; Lunar soil; Environmental science; Geotechnical engineering; Martian surface; Astrobiology; Physics; Geomorphology; Mineralogy","score_opus":0.035489472876068,"score_gpt":0.3146391898937535,"score_spread":0.2791497170176855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031923123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072343,0.0003985456,0.00094483193,0.0060242163,0.0012963491,0.00014272954,0.000009289096,0.00001121312,0.00044941422],"genre_scores_gemma":[0.9989372,0.0005771194,0.00009059149,0.00006643113,0.00029604096,0.0000010441647,0.0000012567693,0.000011569707,0.000018742394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838305,0.00010471657,0.00026064215,0.000058834445,0.0010416926,0.00015106476],"domain_scores_gemma":[0.99795055,0.0013236732,0.000067198176,0.00014922822,0.0004352256,0.00007411065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001095858,0.00006526906,0.000108050306,0.00005394904,0.000062349645,0.000051815266,0.0009468435,0.000036785113,0.000004614029],"category_scores_gemma":[0.00074002414,0.00003785859,0.00007686248,0.000117773,0.00006857058,0.000042112388,0.00010012414,0.00069242535,0.0000084728445],"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":[0.0009378635,0.00020884322,0.00074446923,0.00017232113,0.00095261045,0.00015011655,0.0010168025,0.85528606,0.047134534,0.024947593,0.009465233,0.05898354],"study_design_scores_gemma":[0.00062210346,0.0006333352,0.0048024785,0.00013305931,0.000019022902,0.00003662533,0.00017016372,0.9683321,0.017136075,0.0068855206,0.0011308846,0.000098648045],"about_ca_topic_score_codex":0.000011870443,"about_ca_topic_score_gemma":0.0000059097933,"teacher_disagreement_score":0.113046005,"about_ca_system_score_codex":0.000083767096,"about_ca_system_score_gemma":0.000053322798,"threshold_uncertainty_score":0.3008282},"labels":[],"label_agreement":null},{"id":"W3047284523","doi":"10.1177/0278364920933655","title":"Three-dimensional independent control of multiple magnetic microrobots via inter-agent forces","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic field; Controller (irrigation); Control theory (sociology); GRASP; Magnetic tweezers; Position (finance); Robot; Magnet; Computer science; Physics; Engineering; Control (management); Mechanical engineering; Artificial intelligence","score_opus":0.047056613114969364,"score_gpt":0.319349562907227,"score_spread":0.2722929497922576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047284523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2262205,0.00091689435,0.7531198,0.017524464,0.0011248109,0.00048749096,0.00008068719,0.000008915622,0.0005163981],"genre_scores_gemma":[0.9964368,0.000014705477,0.0025178795,0.0001774585,0.0007291948,0.0000020658774,0.0000059693625,0.000018919838,0.00009701823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743015,0.00013749402,0.0006651941,0.00014840299,0.0013387882,0.0002799683],"domain_scores_gemma":[0.997089,0.0006045214,0.0003586214,0.00016409988,0.0016196626,0.00016409472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009592001,0.00013856348,0.00027877203,0.00016619357,0.00009049204,0.000077521734,0.0012909212,0.00004301267,0.0006280105],"category_scores_gemma":[0.00009838997,0.00009564251,0.00023076139,0.00016705613,0.00018955368,0.00010552722,0.00033489882,0.0006795443,0.000054840417],"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":[0.0027481546,0.0013184514,0.09695206,0.00006435671,0.0023564047,0.00014556544,0.0019476167,0.4518086,0.3788657,0.009973958,0.016263768,0.037555363],"study_design_scores_gemma":[0.021509018,0.0046577584,0.01649643,0.0008889157,0.000458297,0.00031369732,0.0020666253,0.7287221,0.1782249,0.036277536,0.009235084,0.0011496334],"about_ca_topic_score_codex":0.00015303875,"about_ca_topic_score_gemma":0.000022149597,"teacher_disagreement_score":0.7702163,"about_ca_system_score_codex":0.00006595512,"about_ca_system_score_gemma":0.0002291779,"threshold_uncertainty_score":0.6876275},"labels":[],"label_agreement":null},{"id":"W3080564557","doi":"10.1177/0278364920950795","title":"On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":93,"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":"Reachability; Computer science; Leverage (statistics); Trajectory; Active safety; Collision; Anticipation (artificial intelligence); Controller (irrigation); Planner; Collision avoidance; Robot; Advanced driver assistance systems; Simulation; Engineering; Computer security; Automotive engineering; Artificial intelligence","score_opus":0.08787062107509358,"score_gpt":0.38458152193309264,"score_spread":0.29671090085799906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080564557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3292492,0.0002182579,0.61883086,0.048702523,0.0011467347,0.00037776676,0.000025761337,0.00016408094,0.0012848182],"genre_scores_gemma":[0.99195176,0.000009789163,0.0072882217,0.00038143215,0.000307845,0.000005589838,0.0000049061387,0.000025487192,0.000024938108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840677,0.0001015054,0.00048629392,0.00011499763,0.00066925946,0.00022116043],"domain_scores_gemma":[0.99747616,0.0013280174,0.00012727597,0.00016336919,0.00081042614,0.00009474978],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001791128,0.0001065037,0.00017870095,0.00018773429,0.00021101903,0.000072396506,0.0008506123,0.0001452081,0.000019771356],"category_scores_gemma":[0.0012819285,0.00008509314,0.00009805657,0.00021404783,0.00014866336,0.00012809578,0.00007558408,0.0023483476,0.000010660933],"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":[0.00033687375,0.00004134268,0.00025342914,0.000016364684,0.00012369089,0.000019456264,0.0006864867,0.9783883,0.00703176,0.010170078,0.0013636106,0.001568575],"study_design_scores_gemma":[0.0013141066,0.00050824205,0.0011168486,0.0003868035,0.000021449914,0.000035400015,0.0005504726,0.9550594,0.009238666,0.029095383,0.002485815,0.00018739222],"about_ca_topic_score_codex":0.0000039646,"about_ca_topic_score_gemma":0.000008837033,"teacher_disagreement_score":0.66270256,"about_ca_system_score_codex":0.00033511026,"about_ca_system_score_gemma":0.00015147569,"threshold_uncertainty_score":0.99995327},"labels":[],"label_agreement":null},{"id":"W3085436547","doi":"10.1177/0278364920953902","title":"Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory tracking","year":2020,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Adaptive Control of Nonlinear Systems","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; Ontario Ministry of Research, Innovation and Science; Ontario Centres of Excellence; Alfred P. Sloan Foundation","keywords":"Trajectory; Impromptu; Computer science; Controller (irrigation); Tracking error; Artificial neural network; Artificial intelligence; Parametric statistics; Tracking (education); Control engineering; Control theory (sociology); Control (management); Engineering; Mathematics","score_opus":0.07999252469067215,"score_gpt":0.33641214186195234,"score_spread":0.2564196171712802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085436547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4067569,0.0014326344,0.5847795,0.003954444,0.0018497304,0.0005940466,0.000004908188,0.000045725923,0.0005820907],"genre_scores_gemma":[0.99648345,0.000061198916,0.0014330162,0.000111260975,0.0018401829,0.000007834662,0.00000168421,0.000038821632,0.000022576747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980828,0.00010279028,0.0005088734,0.00011455478,0.00086729875,0.0003236567],"domain_scores_gemma":[0.99826705,0.0007629016,0.00010526392,0.0001010263,0.0006615814,0.000102192294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013342156,0.00012497189,0.00022220041,0.0002194293,0.000070140195,0.00010867331,0.0008667041,0.00006167922,0.000010870002],"category_scores_gemma":[0.00042528965,0.00009567396,0.0001118084,0.00014177528,0.00005070496,0.00017784996,0.00006148697,0.00094225275,0.000007529348],"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":[0.00032700066,0.000017200347,0.00018416722,0.000021271648,0.000092325856,0.000034641012,0.00044691373,0.9809933,0.0049843616,0.00016622418,0.00007371578,0.012658916],"study_design_scores_gemma":[0.0007434277,0.00033379722,0.0015518308,0.00011430707,0.0000060040425,0.00004471137,0.00026199443,0.9951199,0.0015404432,0.000044813027,0.00015247792,0.00008623641],"about_ca_topic_score_codex":0.000004811578,"about_ca_topic_score_gemma":0.00006221139,"teacher_disagreement_score":0.5897265,"about_ca_system_score_codex":0.00024371885,"about_ca_system_score_gemma":0.000048514867,"threshold_uncertainty_score":0.40936717},"labels":[],"label_agreement":null},{"id":"W3204193097","doi":"10.1177/02783649211045736","title":"Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization","year":2021,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":29,"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; Engineering and Physical Sciences Research Council; University of Oxford","keywords":"Computer science; Artificial intelligence; Ground truth; Computer vision; Overhead (engineering); Robustness (evolution); USable; Radar; Workspace; Image sensor; Real-time computing; Robot; Telecommunications","score_opus":0.06517878868075411,"score_gpt":0.35027259755235257,"score_spread":0.28509380887159846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204193097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11555683,0.00078916294,0.8788897,0.0024088034,0.0012600484,0.00030498198,0.0000081139,0.000041256124,0.00074112223],"genre_scores_gemma":[0.964361,0.00077414536,0.033642057,0.00013422087,0.00071595714,0.000003930079,0.000034814675,0.00007283577,0.00026102955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786896,0.00022399315,0.00050250074,0.000118156626,0.0010033452,0.00028306036],"domain_scores_gemma":[0.9971531,0.00059172057,0.00008498626,0.00012727975,0.0019697642,0.000073145085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014698225,0.00011162186,0.0001910168,0.00038282445,0.00011159749,0.00021205384,0.00034855554,0.000083858366,0.000033592205],"category_scores_gemma":[0.00082023337,0.000096251126,0.000108613145,0.00038810974,0.00004254737,0.00018304036,0.000066242974,0.0005443851,0.000009819068],"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":[0.000077209705,0.0000619221,0.0012465344,0.000052711923,0.0001048257,0.00013314708,0.000427712,0.9904877,0.0048869755,0.0015398063,0.00029758387,0.00068384805],"study_design_scores_gemma":[0.00092400645,0.000049234975,0.000116605326,0.00013856041,0.000017170969,0.00014532624,0.0006554802,0.9913289,0.0042019337,0.0011596371,0.0011629229,0.00010025473],"about_ca_topic_score_codex":0.000020773059,"about_ca_topic_score_gemma":0.000018649373,"teacher_disagreement_score":0.8488042,"about_ca_system_score_codex":0.0004209886,"about_ca_system_score_gemma":0.00023023739,"threshold_uncertainty_score":0.3925007},"labels":[],"label_agreement":null},{"id":"W3214424950","doi":"10.1177/02783649211052067","title":"Force sensing in robot-assisted keyhole endoscopy: A systematic survey","year":2021,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Surgical Simulation and Training","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 British Columbia","funders":"","keywords":"Haptic technology; Keyhole; Computer science; Robot; Systematic review; Human–computer interaction; Medical physics; Artificial intelligence; MEDLINE; Medicine; Engineering; Mechanical engineering","score_opus":0.22445952925578455,"score_gpt":0.4579538886728205,"score_spread":0.23349435941703595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214424950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95549685,0.0015889403,0.012901263,0.018832343,0.0014276576,0.00057127996,0.0000064531855,0.000020518448,0.009154704],"genre_scores_gemma":[0.99657255,0.00006122855,0.0018161372,0.00021702355,0.00016416537,6.8027407e-7,0.000008034849,0.000013090088,0.0011470935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99649507,0.00084243197,0.00061919156,0.00010582262,0.00171896,0.00021849736],"domain_scores_gemma":[0.99374497,0.0030698683,0.00016850758,0.00016900436,0.0027351475,0.0001124928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054039364,0.000074966665,0.00032162506,0.00031915616,0.000061684776,0.0001201812,0.00027089746,0.000051472423,0.000087722685],"category_scores_gemma":[0.005397015,0.000049069073,0.00011356761,0.00042887105,0.00007148826,0.00007297805,0.0001090305,0.0007014625,0.000020892536],"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":[0.010570046,0.0036089844,0.24573484,0.005485236,0.0060484847,0.043088216,0.009877073,0.56214035,0.062847614,0.011582032,0.0018260884,0.037191037],"study_design_scores_gemma":[0.025947325,0.0008576404,0.5409118,0.031206563,0.00024559067,0.012304728,0.007992631,0.36395487,0.01126793,0.0041078273,0.0006860761,0.0005170102],"about_ca_topic_score_codex":0.000072140625,"about_ca_topic_score_gemma":0.000184746,"teacher_disagreement_score":0.29517698,"about_ca_system_score_codex":0.00025869976,"about_ca_system_score_gemma":0.00043871536,"threshold_uncertainty_score":0.646112},"labels":[],"label_agreement":null},{"id":"W4238681124","doi":"10.1177/027836402128964611","title":"Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":312,"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":"Landmark; Computer vision; Artificial intelligence; Mobile robot; Computer science; Scale-invariant feature transform; Robot; Invariant (physics); Simultaneous localization and mapping; Feature extraction; Mathematics","score_opus":0.05264129411819038,"score_gpt":0.31499753041595224,"score_spread":0.26235623629776184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238681124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08705556,0.00062678603,0.9108444,0.00045769193,0.00032836426,0.00016593351,0.0000029036974,0.00002094255,0.000497441],"genre_scores_gemma":[0.9930243,0.0006527146,0.005868922,0.000045790828,0.0003046079,0.0000016567914,0.0000043389164,0.000028138025,0.00006951995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826074,0.00010847354,0.000334109,0.000097404365,0.00097573496,0.00022356494],"domain_scores_gemma":[0.9986544,0.0001824824,0.00008417922,0.00010543586,0.0008810935,0.000092360766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081181887,0.00010771832,0.00014779983,0.00031102696,0.00014121082,0.00021038618,0.00031452544,0.00006018802,0.00004471341],"category_scores_gemma":[0.000064851505,0.00007320246,0.00003615373,0.00029120265,0.00012417739,0.00015592156,0.00004820133,0.00039173217,0.000004378287],"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":[0.0000335902,0.00003780345,0.0007762663,0.000016101456,0.000099992954,0.000040527684,0.0006139327,0.9941008,0.0019186676,0.0002442874,0.00028749421,0.0018305219],"study_design_scores_gemma":[0.00045072712,0.00013508867,0.000120031924,0.00014858841,0.000014296417,0.00024208485,0.0004989224,0.99726784,0.00045498766,0.00015925833,0.00041879513,0.000089360576],"about_ca_topic_score_codex":0.000032320182,"about_ca_topic_score_gemma":0.000020771566,"teacher_disagreement_score":0.9059688,"about_ca_system_score_codex":0.00019746587,"about_ca_system_score_gemma":0.000035845227,"threshold_uncertainty_score":0.29851094},"labels":[],"label_agreement":null},{"id":"W4248615778","doi":"10.1177/027836403128964700","title":"Contact Stiffness and Damping Estimation for Robotic Systems","year":2003,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","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":"McGill University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Contact force; Stiffness; Benchmark (surveying); Control engineering; SIGNAL (programming language); Robot; Contact dynamics; Electrical impedance; Computer science; Stability (learning theory); System identification; Impedance control; Adaptive control; Engineering; Simulation; Artificial intelligence; Mathematics; Control (management); Data modeling","score_opus":0.10752925808702629,"score_gpt":0.37504310900599214,"score_spread":0.26751385091896585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248615778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030802002,0.0008893787,0.9647765,0.0008392802,0.0016126274,0.00023319875,4.0901563e-7,0.000020486867,0.0008260919],"genre_scores_gemma":[0.99680465,0.00009178978,0.0027421806,0.000012569772,0.00016951472,0.000003998499,0.0000017916547,0.000017522761,0.00015597108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988045,0.000108998065,0.00029532958,0.000058085865,0.0005760933,0.00015699942],"domain_scores_gemma":[0.9983865,0.000713779,0.000076827535,0.000076922355,0.0006892742,0.000056665296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016371546,0.00006634953,0.00012018122,0.00022028439,0.00010757548,0.00024743043,0.0002647246,0.000036097837,0.000010574953],"category_scores_gemma":[0.00067330024,0.00004963758,0.000038031118,0.00009983198,0.00003175718,0.0001683216,0.000020807873,0.0003229525,0.0000049894243],"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":[0.000019026766,0.000007729117,0.00011682372,0.00002669443,0.000074997275,0.0000045481547,0.00020138762,0.9686967,0.0011746434,0.028282523,0.00038771282,0.001007209],"study_design_scores_gemma":[0.0004481743,0.000031613752,0.0011288256,0.00011098158,0.0000101621235,0.00014496049,0.00036677322,0.9955797,0.00013897769,0.0010742649,0.0009082656,0.00005729128],"about_ca_topic_score_codex":0.0000056419726,"about_ca_topic_score_gemma":0.0000019043946,"teacher_disagreement_score":0.96600264,"about_ca_system_score_codex":0.0001245902,"about_ca_system_score_gemma":0.00004867171,"threshold_uncertainty_score":0.23859775},"labels":[],"label_agreement":null},{"id":"W4289834745","doi":"10.1177/02783649221110260","title":"The split-belt rimless wheel","year":2022,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","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","funders":"","keywords":"Treadmill; Kinematics; Work (physics); Gait; Preferred walking speed; Simulation; Computer science; Power walking; Energy (signal processing); Ground reaction force; Control theory (sociology); Engineering; Physical medicine and rehabilitation; Artificial intelligence; Mathematics; Physics; Mechanical engineering","score_opus":0.04741763579027578,"score_gpt":0.33416139454142046,"score_spread":0.28674375875114466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289834745","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19311391,0.017923342,0.19272904,0.4514996,0.043668926,0.0020096267,0.00007247563,0.00031484282,0.09866822],"genre_scores_gemma":[0.996488,0.0004024758,0.0002946032,0.00014087255,0.0005511496,0.000010778795,0.0000013750492,0.000019628571,0.0020911207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972124,0.0002406913,0.0003305283,0.000056520614,0.0019175038,0.00024232538],"domain_scores_gemma":[0.9983907,0.00067137857,0.00006957741,0.00019838217,0.000605188,0.00006479035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031416551,0.000067717854,0.000093961426,0.00015168078,0.0004646955,0.00020778146,0.001917585,0.000017713588,0.0001925934],"category_scores_gemma":[0.00015039046,0.000040234292,0.00010156037,0.00019530563,0.00010285544,0.000073939904,0.0002831129,0.001068417,0.000030690688],"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":[0.000062790125,0.000036917692,0.000057275003,0.0000022406257,0.00020505136,0.000049017486,0.0002884651,0.932126,0.0007448601,0.030396516,0.023831336,0.012199517],"study_design_scores_gemma":[0.0021687837,0.0002964736,0.0019008126,0.000046463338,0.00003478416,0.0011513337,0.0044635567,0.7118179,0.00078232744,0.026395679,0.25068694,0.00025493474],"about_ca_topic_score_codex":0.000011318496,"about_ca_topic_score_gemma":0.000010488039,"teacher_disagreement_score":0.80337405,"about_ca_system_score_codex":0.00032089758,"about_ca_system_score_gemma":0.00011458173,"threshold_uncertainty_score":0.46417996},"labels":[],"label_agreement":null},{"id":"W4306986146","doi":"10.1177/02783649221128843","title":"Continuum robot state estimation using Gaussian process regression on SE(3)","year":2022,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","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 Toronto","funders":"","keywords":"Robot; Kriging; Gaussian process; Gaussian; Computer science; Artificial intelligence; Control theory (sociology); Ground truth; Pose; Algorithm; Mathematics; Physics; Machine learning","score_opus":0.10698847252144986,"score_gpt":0.42142712867130855,"score_spread":0.31443865614985866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306986146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76791453,0.00042729866,0.2143029,0.01162517,0.002529139,0.00055337755,0.000041119663,0.000087775654,0.0025186918],"genre_scores_gemma":[0.9959202,0.000050588744,0.003485069,0.000048746228,0.0001868317,0.000010411176,0.0000055869605,0.00002904669,0.00026355058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762136,0.00010523598,0.00035826289,0.00009271094,0.0016061617,0.00021624152],"domain_scores_gemma":[0.9987432,0.0002837795,0.0001322556,0.00017330708,0.000595042,0.0000724288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013102507,0.000093971474,0.00012113373,0.00033506035,0.0003214359,0.00013372066,0.0009280993,0.0000225675,0.00007719882],"category_scores_gemma":[0.00011742649,0.00006889795,0.000062979176,0.00033393086,0.00006078074,0.00010941458,0.00014640602,0.00087081245,0.000011215879],"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":[0.000047982303,0.000051421164,0.00011657624,0.0000067831843,0.00006388651,0.000023312468,0.00045384167,0.98951256,0.0048805475,0.0008519008,0.0018142749,0.0021769148],"study_design_scores_gemma":[0.00041431468,0.00011904424,0.0006638629,0.00009810332,0.000012520967,0.00019379883,0.00046949068,0.9824882,0.0049282964,0.009542756,0.0009572864,0.00011229446],"about_ca_topic_score_codex":0.000010847234,"about_ca_topic_score_gemma":0.0000048955153,"teacher_disagreement_score":0.22800563,"about_ca_system_score_codex":0.00037907297,"about_ca_system_score_gemma":0.00012056682,"threshold_uncertainty_score":0.37832952},"labels":[],"label_agreement":null},{"id":"W4327692895","doi":"10.1177/02783649231160195","title":"Boreas: A multi-season autonomous driving dataset","year":2023,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":136,"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":"Lidar; Odometry; Ground truth; Adverse weather; Metric (unit); Snow; Computer science; Artificial intelligence; Meteorology; Remote sensing; Radar; Environmental science; Computer vision; Geography; Engineering","score_opus":0.09622551272151683,"score_gpt":0.40330845735471355,"score_spread":0.30708294463319674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327692895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8057503,0.00016194023,0.03820472,0.13864437,0.002222253,0.00076910836,0.00028175573,0.00013762388,0.013827926],"genre_scores_gemma":[0.99083245,0.00014470062,0.0068300366,0.00013105312,0.0002881161,0.0000011197236,0.000060896244,0.000015939859,0.0016957013],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979849,0.00013012462,0.00023342602,0.00011291348,0.0013123166,0.00022635832],"domain_scores_gemma":[0.9990307,0.0003865423,0.00010302984,0.00024509695,0.00013823279,0.000096374206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023549248,0.000058843667,0.00007561638,0.00013855148,0.00018907568,0.00013823748,0.0011992306,0.000029305154,0.00015526729],"category_scores_gemma":[0.0004411645,0.000039994677,0.000051477127,0.0004007786,0.00022232525,0.00011991934,0.00048449123,0.00042432212,0.0010573013],"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":[0.00006878641,0.00028663737,0.010992486,0.0000040234067,0.00018471309,0.00027995533,0.0014486033,0.36283246,0.024994597,0.0012419503,0.5305017,0.06716409],"study_design_scores_gemma":[0.0010899854,0.0001625412,0.14378326,0.00012104628,0.00003078206,0.00068833126,0.0013302031,0.50362974,0.002668148,0.005436285,0.34077525,0.00028444864],"about_ca_topic_score_codex":0.00023736815,"about_ca_topic_score_gemma":0.0001103194,"teacher_disagreement_score":0.18972644,"about_ca_system_score_codex":0.00023214948,"about_ca_system_score_gemma":0.000059620947,"threshold_uncertainty_score":0.9997205},"labels":[],"label_agreement":null},{"id":"W4379618936","doi":"10.1177/02783649231165085","title":"Control-oriented meta-learning","year":2023,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":24,"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":"Control theory (sociology); Controller (irrigation); Computer science; Control engineering; Trajectory; Adaptive control; Nonlinear system; A priori and a posteriori; Tracking error; Underactuation; Parametric statistics; Artificial intelligence; Robot; Engineering; Control (management); Mathematics","score_opus":0.14790537824995745,"score_gpt":0.4145251055232124,"score_spread":0.266619727273255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379618936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53205454,0.000606532,0.28416368,0.14694946,0.0081336815,0.00066831784,0.00003444414,0.00012468142,0.027264673],"genre_scores_gemma":[0.9945142,0.0000377207,0.00014952262,0.00005105398,0.0011627718,0.0000034592163,0.0000039693805,0.000009881358,0.004067414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817675,0.00023408889,0.0002587054,0.000072635754,0.001056267,0.00020155522],"domain_scores_gemma":[0.9982049,0.00048697562,0.00013217938,0.000089287096,0.001016706,0.00006997951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019229163,0.00006183101,0.0001396987,0.00021403804,0.0001493579,0.000095240706,0.00054569036,0.000017038508,0.0005912591],"category_scores_gemma":[0.00008081603,0.000036496047,0.00019612725,0.00031418196,0.000077171964,0.00009714692,0.000106030195,0.00074814074,0.00010868324],"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":[0.00015891566,0.0000697953,0.0014669753,0.0000014463279,0.0024977801,0.000032236203,0.00021083151,0.86810833,0.0015394541,0.09531919,0.024148261,0.006446806],"study_design_scores_gemma":[0.0040746266,0.0005096758,0.001798671,0.000089269204,0.0006181655,0.00013205005,0.0032705793,0.69870144,0.003894967,0.06375069,0.22276564,0.00039422768],"about_ca_topic_score_codex":0.000025513082,"about_ca_topic_score_gemma":4.933627e-7,"teacher_disagreement_score":0.46245968,"about_ca_system_score_codex":0.000027262495,"about_ca_system_score_gemma":0.000069114016,"threshold_uncertainty_score":0.64738727},"labels":[],"label_agreement":null},{"id":"W4385238018","doi":"10.1177/02783649231183460","title":"GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather","year":2023,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Geophysical Methods and Applications","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 Toronto","funders":"Office of Naval Research; Lincoln Laboratory, Massachusetts Institute of Technology","keywords":"Ground truth; Odometry; Lidar; Computer science; Artificial intelligence; Global Positioning System; Radar; Ground-penetrating radar; Visual odometry; Computer vision; GNSS applications; Remote sensing; Inertial measurement unit; Robot; Geography; Mobile robot","score_opus":0.1881420423010262,"score_gpt":0.4727939130794336,"score_spread":0.28465187077840737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385238018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5707569,0.00023760475,0.41170546,0.014015473,0.00084356964,0.0015911247,0.00013250783,0.000058628746,0.0006587211],"genre_scores_gemma":[0.9784984,0.00006355646,0.020703496,0.00006195554,0.00042083397,0.00006921938,0.00009881933,0.000026248888,0.000057459176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979668,0.00018586629,0.000359674,0.00009940444,0.0011448346,0.0002433738],"domain_scores_gemma":[0.99822664,0.000991978,0.000055099492,0.00011722342,0.00054521183,0.0000638496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062589548,0.000072255025,0.000113411705,0.00031663597,0.0001079336,0.0001388281,0.00057940447,0.00002852594,0.000019565705],"category_scores_gemma":[0.00047204096,0.000056987854,0.000044635057,0.0004951831,0.000030203999,0.000106561456,0.0001388468,0.00041551143,0.000033045286],"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":[0.000041265634,0.000048194717,0.000085596046,0.000020721285,0.00007777955,0.000006472178,0.0008155733,0.92476285,0.017270567,0.0035061457,0.0030596356,0.050305177],"study_design_scores_gemma":[0.0013518331,0.00023122663,0.0064966073,0.00025733412,0.000026043906,0.000019441652,0.0029265762,0.91724867,0.00083218055,0.045892503,0.024527693,0.00018987019],"about_ca_topic_score_codex":0.00007749605,"about_ca_topic_score_gemma":0.000063751635,"teacher_disagreement_score":0.40774152,"about_ca_system_score_codex":0.00028846608,"about_ca_system_score_gemma":0.000064894695,"threshold_uncertainty_score":0.23238972},"labels":[],"label_agreement":null},{"id":"W4390448179","doi":"10.1177/02783649231216499","title":"Energy-optimal trajectories for skid-steer rovers","year":2023,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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 Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Turning radius; Trajectory; Skid (aerodynamics); Motion planning; Control theory (sociology); Path (computing); Energy (signal processing); Parameterized complexity; Energy consumption; Work (physics); Optimal control; Pontryagin's minimum principle; Mathematics; Mathematical optimization; Engineering; Computer science; Aerospace engineering; Robot; Algorithm; Physics; Artificial intelligence; Control (management)","score_opus":0.11273250681721328,"score_gpt":0.40078022692039944,"score_spread":0.28804772010318613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390448179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026089842,0.000107933294,0.9727582,0.02085161,0.003058133,0.00009537731,0.00000846207,0.000046325113,0.00046499135],"genre_scores_gemma":[0.53856236,0.00038795415,0.44647038,0.00057497167,0.0036986805,0.000030555882,0.00001583841,0.00006207637,0.010197205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967878,0.00015844377,0.00038056992,0.00016984626,0.0020944695,0.0004088713],"domain_scores_gemma":[0.9955092,0.002003442,0.00017419831,0.00029210356,0.0019103382,0.0001106994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003542712,0.00010065017,0.00015835275,0.0005338025,0.00019733995,0.0003858347,0.0036272954,0.0000544424,0.000005986295],"category_scores_gemma":[0.0008107499,0.00006955556,0.00014484527,0.0006325213,0.00013020767,0.000365595,0.00046315335,0.00039772116,0.00003333347],"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":[0.00012920151,0.00008572392,0.00023434186,0.000009279151,0.00037300316,0.00031640983,0.001959263,0.786382,0.001556983,0.1067333,0.082935154,0.019285297],"study_design_scores_gemma":[0.0008586822,0.00039928456,0.0007761275,0.000083432344,0.000010644846,0.00030836515,0.00044841017,0.9591313,0.002747058,0.019574286,0.015502385,0.00016003614],"about_ca_topic_score_codex":0.00002399437,"about_ca_topic_score_gemma":0.0000020364082,"teacher_disagreement_score":0.53595334,"about_ca_system_score_codex":0.00017588183,"about_ca_system_score_gemma":0.0003966881,"threshold_uncertainty_score":0.67404777},"labels":[],"label_agreement":null},{"id":"W4391543839","doi":"10.1177/02783649241230640","title":"UTIL: An ultra-wideband time-difference-of-arrival indoor localization dataset","year":2024,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","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":"Vector Institute; University of Toronto","funders":"","keywords":"Multilateration; Non-line-of-sight propagation; Computer science; Real-time computing; Ultra-wideband; Inertial measurement unit; Artificial intelligence; Testbed; Ground truth; Fuze; Computer vision; Simulation; Wireless; Acoustics; Telecommunications","score_opus":0.05567293960629447,"score_gpt":0.3563202104892119,"score_spread":0.30064727088291743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391543839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053441856,0.0035453788,0.9289802,0.0041072145,0.003893778,0.00047749275,0.0007995402,0.00037463036,0.0043799477],"genre_scores_gemma":[0.99854314,0.0005477614,0.00035623106,0.000026874739,0.00026364363,0.0000016182664,0.00011375892,0.000024415718,0.00012257544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981094,0.000090859816,0.0004211822,0.00009311197,0.0010962986,0.0001891605],"domain_scores_gemma":[0.9986759,0.00035573496,0.000053304047,0.00020130377,0.0006581457,0.00005564496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011078202,0.00009715113,0.00014442079,0.0005191863,0.00005986217,0.00020024732,0.0011162168,0.00008553998,0.00013381112],"category_scores_gemma":[0.00031131905,0.00006621399,0.00005622608,0.0003755551,0.00018835774,0.00024120137,0.00006109869,0.00053872424,0.00004244675],"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":[0.00009933665,0.00008063036,0.0004223293,0.00009577252,0.00040603787,0.00012596446,0.0008044338,0.8896795,0.03346502,0.015227083,0.04019712,0.019396773],"study_design_scores_gemma":[0.0004909605,0.00028993603,0.00020061094,0.00040840582,0.000042398886,0.00026675014,0.00047388,0.80175436,0.1647613,0.017142808,0.0139573,0.00021129864],"about_ca_topic_score_codex":0.0000143191555,"about_ca_topic_score_gemma":0.000007410331,"teacher_disagreement_score":0.94510126,"about_ca_system_score_codex":0.00012203069,"about_ca_system_score_gemma":0.000116959905,"threshold_uncertainty_score":0.2700128},"labels":[],"label_agreement":null},{"id":"W4394857695","doi":"10.1177/02783649241238358","title":"MUN-FRL: A Visual-Inertial-LiDAR Dataset for Aerial Autonomous Navigation and Mapping","year":2024,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":"National Research Council Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Lidar; GNSS applications; Inertial measurement unit; Ranging; Computer science; Artificial intelligence; Computer vision; Ground truth; Remote sensing; Point cloud; Simultaneous localization and mapping; Odometry; Global Positioning System; Geography; Robot; Mobile robot","score_opus":0.05925294461528301,"score_gpt":0.374042524934735,"score_spread":0.314789580319452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394857695","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16355237,0.002139957,0.8187448,0.009039101,0.0052610287,0.00054651994,0.00042888435,0.00007974835,0.00020760247],"genre_scores_gemma":[0.99352115,0.0003579406,0.0042174486,0.00004594996,0.0014565235,0.0000055994883,0.0002809556,0.000037939397,0.00007646908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986253,0.00005887038,0.00036608177,0.000099755365,0.0006604691,0.0001895165],"domain_scores_gemma":[0.9988429,0.00045803617,0.000042587006,0.0000960573,0.0004926611,0.000067738765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013349669,0.000090255046,0.00011871334,0.00031344837,0.00009085189,0.00044028985,0.0003518625,0.00005533241,0.000014331657],"category_scores_gemma":[0.00016825246,0.00006793187,0.000054429725,0.00017154841,0.00007136492,0.00019136857,0.000071518574,0.00034922487,0.000009042973],"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":[0.00009154332,0.000030488649,0.0000255787,0.00011843154,0.00028661205,0.00007633587,0.00049074576,0.9407832,0.02429928,0.0064485585,0.016597107,0.0107520865],"study_design_scores_gemma":[0.00034695363,0.00009087717,0.000048510847,0.00022151366,0.000018292656,0.00013713211,0.000119992925,0.9680257,0.0022906014,0.0018875777,0.026729606,0.00008325098],"about_ca_topic_score_codex":0.000017656654,"about_ca_topic_score_gemma":0.000004327426,"teacher_disagreement_score":0.8299688,"about_ca_system_score_codex":0.00017058218,"about_ca_system_score_gemma":0.00010296789,"threshold_uncertainty_score":0.42457253},"labels":[],"label_agreement":null},{"id":"W4395084133","doi":"10.1177/02783649241230993","title":"Decentralized state estimation: An approach using pseudomeasurements and preintegration","year":2024,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Distributed Control Multi-Agent Systems","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":"Polytechnique Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Observability; Robot; Covariance; Odometry; Autoencoder; Computer science; State (computer science); Artificial intelligence; Position (finance); State space; Mathematical optimization; Algorithm; Mathematics; Mobile robot; Artificial neural network","score_opus":0.17529898150385473,"score_gpt":0.42598398030436807,"score_spread":0.2506849988005133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395084133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015538269,0.0006653605,0.980323,0.0023309158,0.00083739066,0.00016952638,0.00000450522,0.000021334065,0.00010966267],"genre_scores_gemma":[0.9345204,0.000085247986,0.06513918,0.000025341122,0.00013372957,0.0000027931028,0.0000038584035,0.000009143097,0.0000802616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966875,0.0004814324,0.00041454323,0.00017536402,0.0020252357,0.00021593856],"domain_scores_gemma":[0.99790287,0.0002705574,0.00012517456,0.00021654986,0.0013723124,0.000112558555],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004861886,0.000090228554,0.00012381354,0.00033685283,0.00011927866,0.0016698714,0.0014719821,0.000031151198,0.000004314343],"category_scores_gemma":[0.00029952294,0.000059520076,0.00005320674,0.00032081097,0.00007723289,0.0010867015,0.00018081027,0.000388278,0.0000068167965],"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":[0.00015827843,0.00029118653,0.0004036686,0.00006233465,0.0007467986,0.00021121772,0.0034358916,0.81404483,0.019606885,0.08448557,0.0009916092,0.07556172],"study_design_scores_gemma":[0.0003601613,0.000055365574,0.00020318899,0.00011920763,0.000009869261,0.00038325493,0.00008568151,0.9922221,0.0005033949,0.0057737273,0.00022754422,0.000056521443],"about_ca_topic_score_codex":0.00004311382,"about_ca_topic_score_gemma":0.0000037714553,"teacher_disagreement_score":0.91898215,"about_ca_system_score_codex":0.0003086025,"about_ca_system_score_gemma":0.00032457686,"threshold_uncertainty_score":0.99936646},"labels":[],"label_agreement":null},{"id":"W4400822502","doi":"10.1177/02783649241261079","title":"YUTO MMS: A comprehensive SLAM dataset for urban mobile mapping with tilted LiDAR and panoramic camera integration","year":2024,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mobile mapping; Inertial measurement unit; Global Positioning System; Benchmark (surveying); Simultaneous localization and mapping; Lidar; Computer science; Computer vision; Artificial intelligence; Data collection; Units of measurement; Synchronization (alternating current); Remote sensing; Geography; Cartography; Mobile robot; Telecommunications; Robot","score_opus":0.058431682733994954,"score_gpt":0.34392024851813807,"score_spread":0.2854885657841431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400822502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12417142,0.0036659678,0.86546373,0.0038992637,0.0012878516,0.00080705486,0.0004812736,0.00006170724,0.00016169684],"genre_scores_gemma":[0.99266416,0.0009160072,0.0055609792,0.000043255226,0.00041176175,0.000012072975,0.0002698884,0.0000363489,0.00008551658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987358,0.00006042745,0.00028903174,0.000109641085,0.00062850374,0.00017662045],"domain_scores_gemma":[0.9984758,0.0005160875,0.00004470949,0.00012045196,0.0007829404,0.000060045844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045134054,0.00010468218,0.00013201147,0.00036269095,0.00008214608,0.00038131507,0.00032795692,0.00004496785,0.000010254886],"category_scores_gemma":[0.00006279814,0.00006934699,0.00004006232,0.0002252496,0.00009758823,0.00018152894,0.000048199156,0.0004191866,0.000005775026],"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":[0.00011950592,0.00003154835,0.00006516683,0.00011994623,0.00038054673,0.00006035735,0.001094626,0.96133614,0.010059794,0.0031982898,0.014089274,0.009444789],"study_design_scores_gemma":[0.00036458662,0.00026574888,0.000087033855,0.00036106165,0.000025641568,0.00016128592,0.00083757663,0.97172016,0.0012865036,0.00093515567,0.023852924,0.00010230595],"about_ca_topic_score_codex":0.000020490972,"about_ca_topic_score_gemma":0.000028888693,"teacher_disagreement_score":0.8684927,"about_ca_system_score_codex":0.00015672244,"about_ca_system_score_gemma":0.0000858252,"threshold_uncertainty_score":0.367703},"labels":[],"label_agreement":null},{"id":"W4402890392","doi":"10.1177/02783649241269337","title":"Certifiably optimal rotation and pose estimation based on the Cayley map","year":2024,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","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":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche; National Science Foundation","keywords":"Mathematics; Mathematical optimization; Pose; Rotation (mathematics); Prior probability; A priori and a posteriori; Computer science; Artificial intelligence","score_opus":0.05251606692480659,"score_gpt":0.3336232515098723,"score_spread":0.28110718458506573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402890392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08094443,0.0008870612,0.85410994,0.05940351,0.002844296,0.00036540287,0.000014063822,0.00007164199,0.0013596786],"genre_scores_gemma":[0.9964673,0.00011092149,0.0028428787,0.000101758575,0.00032278633,0.0000029849389,0.0000076775395,0.000023175107,0.00012050343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983587,0.00011641056,0.0002675033,0.00007976675,0.00103279,0.00014477938],"domain_scores_gemma":[0.9983411,0.0009438129,0.000035077937,0.00012039406,0.0005099886,0.000049649716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015008955,0.00008273397,0.00007595366,0.00029500015,0.000103283644,0.00045113004,0.00035020034,0.000042208085,0.00004580831],"category_scores_gemma":[0.0002511738,0.000048540573,0.000048685783,0.00019448044,0.00008052194,0.00013023749,0.000030617066,0.0004906992,0.000031134503],"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":[0.000038915667,0.0000149730595,0.000017618231,0.000020438203,0.000057625955,0.00003025916,0.00020114156,0.97984576,0.0011870571,0.010370477,0.0043191737,0.003896574],"study_design_scores_gemma":[0.00012529852,0.00007752016,0.00011234422,0.00017171825,0.000011201532,0.00002935057,0.00010265267,0.9947397,0.0018411066,0.0020436374,0.0006952155,0.000050233022],"about_ca_topic_score_codex":0.0000103997845,"about_ca_topic_score_gemma":0.0000032768794,"teacher_disagreement_score":0.9155229,"about_ca_system_score_codex":0.00016371079,"about_ca_system_score_gemma":0.000083612525,"threshold_uncertainty_score":0.43502575},"labels":[],"label_agreement":null},{"id":"W4403587518","doi":"10.1177/02783649241274794","title":"THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction","year":2024,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Human Pose and Action Recognition","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":"Artificial Intelligence in Medicine (Canada)","funders":"Knut och Alice Wallenbergs Stiftelse","keywords":"Robot; Motion (physics); Computer science; Motion capture; Movement (music); Scale (ratio); Computer vision; Artificial intelligence; Human–computer interaction; Communication; Psychology; Physics; Acoustics","score_opus":0.07176123491208583,"score_gpt":0.391955749896926,"score_spread":0.3201945149848402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403587518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27942783,0.00073360297,0.68929833,0.024599334,0.003350937,0.00027263424,0.000010420982,0.000041886,0.0022650203],"genre_scores_gemma":[0.99602616,0.00019815833,0.00283604,0.00010824714,0.00039926762,0.0000025590027,0.0000030373553,0.0000080332475,0.0004185153],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812436,0.0001646912,0.0003921583,0.00014365866,0.0010164782,0.00015868178],"domain_scores_gemma":[0.99845093,0.00026694953,0.00016134903,0.00013282595,0.0009311882,0.00005672798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020141122,0.00007509868,0.00011492682,0.0005501811,0.00013481386,0.00043250076,0.0006785324,0.00004501582,0.00006332385],"category_scores_gemma":[0.000085339125,0.0000532156,0.00008393472,0.00024872372,0.000058005233,0.00069712236,0.0002696163,0.0006342408,0.0000131602565],"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":[0.00037854305,0.0014854439,0.0032382284,0.00040183117,0.0016991879,0.0005929308,0.027793162,0.030652864,0.2760929,0.23344524,0.026162364,0.3980573],"study_design_scores_gemma":[0.002508328,0.0013917694,0.0063102394,0.0030381505,0.00010261618,0.0013315716,0.007051334,0.681847,0.08995144,0.19809349,0.00782702,0.0005470848],"about_ca_topic_score_codex":0.00004712057,"about_ca_topic_score_gemma":0.000036257898,"teacher_disagreement_score":0.71659833,"about_ca_system_score_codex":0.0001523049,"about_ca_system_score_gemma":0.00007483497,"threshold_uncertainty_score":0.41706148},"labels":[],"label_agreement":null},{"id":"W4403741606","doi":"10.1177/02783649241285161","title":"Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control","year":2024,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université de Montréal; Simon Fraser University","funders":"Canadian Institute for Advanced Research; National Science Foundation","keywords":"Robot; Robustness (evolution); Reinforcement learning; Computer science; Robot locomotion; Robotics; Artificial intelligence; Control engineering; Control theory (sociology); Robot control; Engineering; Control (management); Mobile robot","score_opus":0.03771074436780729,"score_gpt":0.33049971038915366,"score_spread":0.29278896602134635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403741606","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029423102,0.0011582857,0.98532087,0.008331193,0.0013254605,0.00025821276,0.0000023639732,0.00003961598,0.0006216978],"genre_scores_gemma":[0.9970623,0.0005785082,0.0011753733,0.000035138706,0.000366797,0.000008795349,0.0000036416056,0.000021568861,0.00074786117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863595,0.000068330686,0.00031457318,0.00007785769,0.00070611737,0.00019718683],"domain_scores_gemma":[0.99865305,0.0006174881,0.0000397044,0.0000696931,0.0005514921,0.00006856613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015966523,0.000083896804,0.00012140879,0.00029628442,0.0000896543,0.0002918165,0.00033934813,0.000044282835,0.000051197454],"category_scores_gemma":[0.00017141929,0.000059519745,0.000085463624,0.00010561882,0.000066785906,0.0001638794,0.00004014636,0.0005493833,0.000014992385],"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":[0.00006232958,0.000009517018,0.000024395147,0.00003163328,0.0002775734,0.000016983913,0.00022373699,0.9783557,0.001148016,0.0044609024,0.0013786512,0.014010529],"study_design_scores_gemma":[0.0008547124,0.00014162045,0.000112144044,0.0001110664,0.000024750947,0.0000801684,0.00018213918,0.99348927,0.00009986791,0.0010815188,0.0037655511,0.00005722079],"about_ca_topic_score_codex":0.0000042216197,"about_ca_topic_score_gemma":0.000004713836,"teacher_disagreement_score":0.99412,"about_ca_system_score_codex":0.0002230012,"about_ca_system_score_gemma":0.0000670108,"threshold_uncertainty_score":0.28139934},"labels":[],"label_agreement":null},{"id":"W4406267575","doi":"10.1177/02783649241312699","title":"Shared autonomy policy fine-tuning and alignment for robotic tasks","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Reinforcement Learning in Robotics","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":"Simon Fraser University; McGill University","funders":"","keywords":"Reinforcement learning; Arbitration; Autonomy; Computer science; Human–computer interaction; Task (project management); Robot; Artificial intelligence; Controller (irrigation); Human–robot interaction; Distributed computing; Engineering; Systems engineering","score_opus":0.07345984979332178,"score_gpt":0.40580684606781176,"score_spread":0.33234699627449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406267575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029845352,0.00018784625,0.9375236,0.05949237,0.0007275732,0.00021363285,8.512745e-7,0.0000127851445,0.0015429035],"genre_scores_gemma":[0.86160463,0.00013896523,0.1290048,0.0008479972,0.0006345169,0.00001582519,0.000003659244,0.000017845909,0.007731771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976901,0.0001476096,0.00050075795,0.00017384526,0.0011590383,0.00032866924],"domain_scores_gemma":[0.99655795,0.0013438003,0.0002289006,0.00032529913,0.0014528292,0.00009119244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026827992,0.00011111373,0.00018033492,0.00074905984,0.00024635074,0.00072584534,0.002814197,0.000050542585,0.000006692352],"category_scores_gemma":[0.0012887478,0.00008164854,0.00009361804,0.00041949478,0.00013906004,0.0003426983,0.0009954352,0.00049172697,0.0000059309777],"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":[0.000028662938,0.00002300621,0.00023268259,0.000013166366,0.00016567047,0.000010836149,0.00034597842,0.7455321,0.00043451416,0.24572766,0.0031096744,0.00437607],"study_design_scores_gemma":[0.00087342836,0.00021077083,0.00078245165,0.00021907705,0.000015034273,0.00006757109,0.000112816124,0.96657836,0.0006234076,0.02227117,0.008144974,0.00010094189],"about_ca_topic_score_codex":0.000025655812,"about_ca_topic_score_gemma":0.0000029957937,"teacher_disagreement_score":0.8613062,"about_ca_system_score_codex":0.00050018454,"about_ca_system_score_gemma":0.0010987798,"threshold_uncertainty_score":0.69993436},"labels":[],"label_agreement":null},{"id":"W4406779533","doi":"10.1177/02783649241312698","title":"Learning-based legged locomotion: State of the art and future perspectives","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotic Locomotion and Control","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":"State (computer science); Computer science; Human–computer interaction; Artificial intelligence; Engineering; Programming language","score_opus":0.014807274875237475,"score_gpt":0.30501048977810624,"score_spread":0.29020321490286877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406779533","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23157655,0.008482517,0.28458995,0.43955263,0.007750704,0.0012254256,0.0000162597,0.00011014092,0.02669583],"genre_scores_gemma":[0.9973684,0.00042812352,0.00033752943,0.000048252892,0.00022648579,0.00000159324,3.8229635e-7,0.000007993927,0.0015812548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866885,0.00018981751,0.00025270128,0.00005691272,0.0007109535,0.00012076017],"domain_scores_gemma":[0.9985355,0.00026757308,0.00007212258,0.00012079822,0.0009718049,0.0000322057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035391,0.00006631601,0.00011607991,0.00020200892,0.00009397466,0.00007543787,0.000572902,0.000027968073,0.000040790223],"category_scores_gemma":[0.0001486916,0.000038681566,0.000083018545,0.00022861209,0.00016786002,0.00006139286,0.00007358207,0.0006955902,0.0000039365327],"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":[0.00006190592,0.000045885623,0.00048193242,0.000015759311,0.0002144347,0.0000050134295,0.00064225524,0.98292035,0.0010077383,0.004545015,0.0028238138,0.007235878],"study_design_scores_gemma":[0.005412651,0.00046073442,0.05583196,0.00072748883,0.00010099159,0.00013990319,0.008372321,0.8533328,0.010280849,0.014213701,0.050819784,0.00030682588],"about_ca_topic_score_codex":0.0000028337502,"about_ca_topic_score_gemma":0.0000074113345,"teacher_disagreement_score":0.76579183,"about_ca_system_score_codex":0.000111092544,"about_ca_system_score_gemma":0.00012250451,"threshold_uncertainty_score":0.3022032},"labels":[],"label_agreement":null},{"id":"W4407635863","doi":"10.1177/02783649241313471","title":"Mobile robots exploration strategies and requirements: A systematic mapping study","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":9,"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":"NextGenerationEU; Canadian Institute for Advanced Research","keywords":"Mobile robot; Computer science; Robot; Human–computer interaction; Artificial intelligence","score_opus":0.10148157025769648,"score_gpt":0.3816828355774075,"score_spread":0.280201265319711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407635863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16671833,0.0025514993,0.82477784,0.0012094318,0.0016527885,0.0012808609,0.0000017239096,0.00004767574,0.0017598291],"genre_scores_gemma":[0.99835855,0.0004402499,0.0008976276,0.000019765652,0.000099561104,0.000017174087,0.000001530454,0.000011792275,0.00015373848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981458,0.00020342327,0.0005270373,0.00007984459,0.0008957257,0.00014816975],"domain_scores_gemma":[0.9984381,0.0002779874,0.00008796954,0.00015049055,0.0010081236,0.0000373077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001881035,0.00008836708,0.0001811764,0.00047676437,0.00010927188,0.0005125601,0.00045690563,0.000034277993,0.0000050143462],"category_scores_gemma":[0.0001866861,0.0000626945,0.000037114703,0.0003055697,0.00005414831,0.00044048438,0.00008615609,0.0002949986,0.00000407397],"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":[0.00001834952,0.0000728144,0.00016471569,0.00041433668,0.00029919844,0.000021187301,0.0016829344,0.9901779,0.001325396,0.005163022,0.0003191419,0.00034100135],"study_design_scores_gemma":[0.0012435145,0.00043597782,0.00050121156,0.0033421037,0.00008389011,0.000043852797,0.059641205,0.92215073,0.00066588615,0.011606501,0.000113233174,0.00017188242],"about_ca_topic_score_codex":0.000010702928,"about_ca_topic_score_gemma":0.000013887229,"teacher_disagreement_score":0.83164024,"about_ca_system_score_codex":0.00017523525,"about_ca_system_score_gemma":0.00009295143,"threshold_uncertainty_score":0.49426287},"labels":[],"label_agreement":null},{"id":"W4409764559","doi":"10.1177/02783649251323282","title":"Quasi-passive shoulder exoskeleton with enhanced assistance variability to adapt to frequent load changes","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Prosthetics and Rehabilitation Robotics","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 Laval","funders":"","keywords":"Exoskeleton; Computer science; Physical medicine and rehabilitation; Control theory (sociology); Simulation; Medicine; Artificial intelligence; Control (management)","score_opus":0.028306396048866145,"score_gpt":0.3477783120920856,"score_spread":0.31947191604321945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409764559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027135132,0.00015865757,0.8817628,0.08595685,0.0012339923,0.0004638667,0.000011653704,0.000027251801,0.0032497733],"genre_scores_gemma":[0.97412395,0.000087389475,0.0243347,0.0003812104,0.00019169952,0.000023158542,9.726531e-7,0.000021003158,0.00083588646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99746597,0.00014060063,0.00037371487,0.00016030224,0.001557998,0.00030139624],"domain_scores_gemma":[0.99562335,0.00074187986,0.000063242696,0.00030331884,0.0031129823,0.00015520562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019322704,0.00013275923,0.00020430579,0.0003565226,0.000094019386,0.00014688677,0.001012292,0.00006178787,0.000032121243],"category_scores_gemma":[0.00083380926,0.000087649896,0.000061915314,0.0005320165,0.00010482931,0.00006827807,0.00016113899,0.00057080266,0.000015345333],"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":[0.00023412406,0.00013598784,0.00007779006,0.000037851016,0.00024450338,0.000016263624,0.0011148822,0.9564857,0.014592136,0.012669668,0.005738944,0.008652149],"study_design_scores_gemma":[0.008971575,0.011892681,0.028754445,0.007821725,0.00037702988,0.00026603986,0.010054093,0.22025318,0.38261247,0.12463875,0.20133334,0.003024678],"about_ca_topic_score_codex":0.000015621525,"about_ca_topic_score_gemma":0.00018176368,"teacher_disagreement_score":0.9469888,"about_ca_system_score_codex":0.00090202794,"about_ca_system_score_gemma":0.00034276562,"threshold_uncertainty_score":0.3574259},"labels":[],"label_agreement":null},{"id":"W4410391779","doi":"10.1177/02783649251336385","title":"Growable and interpretable neural control with online continual learning for autonomous lifelong locomotion learning machines","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"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":"King Saud University; H2020 Marie Skłodowska-Curie Actions; Vidyasirimedhi Institute of Science and Technology; Canadian Institute for Advanced Research","keywords":"Lifelong learning; Artificial intelligence; Computer science; Control (management); Artificial neural network; Machine learning; Online learning; Autonomous learning; Human–computer interaction; Engineering; Psychology; Multimedia","score_opus":0.026987420646617504,"score_gpt":0.3519711385473495,"score_spread":0.324983717900732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410391779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058541365,0.00029438236,0.90624505,0.034286674,0.00024248395,0.0002220686,0.0000014822789,0.000019599669,0.00014691889],"genre_scores_gemma":[0.9881898,0.00007517627,0.009816755,0.00022374414,0.00023553138,0.0000090037265,0.0000025797651,0.000007334306,0.0014400312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987116,0.00017482569,0.0002876609,0.00014729642,0.00046152936,0.00021708134],"domain_scores_gemma":[0.9973913,0.0011151358,0.00017783795,0.00011208202,0.0011484599,0.000055202883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013038785,0.00008406363,0.00015239598,0.00020646722,0.00031178654,0.00045782208,0.0010309389,0.00002981459,0.0000027140206],"category_scores_gemma":[0.00025751514,0.000053673488,0.000051687133,0.00024065764,0.00010476265,0.00030555058,0.0002449874,0.0007238201,7.576235e-7],"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":[0.00024273929,0.00010347117,0.0048289006,0.0000127294425,0.00018567858,0.000015236707,0.0002460608,0.8942091,0.0013842842,0.043193024,0.00093899836,0.054639764],"study_design_scores_gemma":[0.00088800094,0.00030207817,0.0013989757,0.00009804887,0.000012967858,0.000100237216,0.00009183179,0.990088,0.00015949568,0.0040820437,0.0027213476,0.00005699382],"about_ca_topic_score_codex":0.000031198793,"about_ca_topic_score_gemma":0.000027306822,"teacher_disagreement_score":0.92964846,"about_ca_system_score_codex":0.00006125855,"about_ca_system_score_gemma":0.00012139916,"threshold_uncertainty_score":0.44147888},"labels":[],"label_agreement":null},{"id":"W4413121448","doi":"10.1177/02783649251363999","title":"Unidirectional virtual inerter for high-bandwidth robot motion control","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Vibration Control and Rheological Fluids","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":"Kootenay Association for Science & Technology","funders":"Ministry of Land, Infrastructure and Transport; Ministry of Trade, Industry and Energy","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Computer science; Control engineering; Dissipation; Stability (learning theory); Motion control; Robot; Simulation; Engineering; Control (management); Artificial intelligence","score_opus":0.02919465743407264,"score_gpt":0.32421375485889015,"score_spread":0.2950190974248175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413121448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006095281,0.00030393124,0.97114986,0.018524831,0.0027155054,0.00018154667,0.000014266493,0.000027196953,0.0009875492],"genre_scores_gemma":[0.9964032,0.00011223957,0.0012285104,0.00028207843,0.00077646284,0.000012017242,0.000005966491,0.000009687768,0.0011697976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857855,0.00011277116,0.00037889535,0.00007811331,0.00066429394,0.0001873488],"domain_scores_gemma":[0.9973061,0.001069822,0.000044429988,0.00009270948,0.0014386256,0.000048291444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014124996,0.00008466958,0.00015711326,0.00031924713,0.00012143843,0.00012021163,0.000592658,0.00008100901,0.00006534575],"category_scores_gemma":[0.0005113444,0.000053578202,0.00010594681,0.00018541211,0.00009479907,0.00013725302,0.000044053817,0.0004593948,0.000009716248],"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":[0.0003162801,0.000055972734,0.00017023055,0.0000065603667,0.00041056788,0.000005258246,0.000031917076,0.85027844,0.0110206185,0.11226549,0.013186825,0.01225184],"study_design_scores_gemma":[0.0057528513,0.00053666264,0.006791451,0.00013627837,0.00006949771,0.00006386577,0.0001327195,0.9093684,0.008833539,0.057358846,0.010752757,0.00020314202],"about_ca_topic_score_codex":0.0000060983334,"about_ca_topic_score_gemma":0.000007969217,"teacher_disagreement_score":0.990308,"about_ca_system_score_codex":0.0001643394,"about_ca_system_score_gemma":0.00009369771,"threshold_uncertainty_score":0.21848556},"labels":[],"label_agreement":null},{"id":"W4413786671","doi":"10.1177/02783649251364287","title":"Configuration identification of on-demand variable stiffness strain-limiting layers in zig-zag soft pneumatic actuators using deep learning methods","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soft Robotics and Applications","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; Faculty of Medicine, University of British Columbia","keywords":"Stiffness; Actuator; Soft robotics; Limiting; Variable (mathematics); Identification (biology); Strain (injury); Control theory (sociology); Zigzag; Control engineering; Artificial intelligence; Computer science; Engineering; Structural engineering; Mechanical engineering; Materials science; Mathematics; Mathematical analysis; Geometry; Control (management)","score_opus":0.06533339589459894,"score_gpt":0.41392396648558216,"score_spread":0.3485905705909832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413786671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12527834,0.0001596487,0.8729106,0.00055868673,0.00034405972,0.0001570725,0.000002767141,0.000012164687,0.0005766387],"genre_scores_gemma":[0.98241645,0.00012307007,0.017277632,0.000012089558,0.000075914526,0.000005152638,0.000004546031,0.000016266693,0.00006886416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980289,0.00024623354,0.0007524618,0.00010321503,0.00067890674,0.00019028941],"domain_scores_gemma":[0.9967749,0.0018566278,0.00022633349,0.00015560562,0.00094771315,0.000038800477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038064178,0.00009472267,0.00018680445,0.0006299062,0.00011705523,0.00014407716,0.00060245977,0.00006484526,0.000019646455],"category_scores_gemma":[0.0012821222,0.0000811517,0.00005635986,0.00058286736,0.00008130421,0.0001379387,0.00006044979,0.0006737051,0.0000026893656],"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":[0.000018558136,0.000044388646,0.00015632555,0.00003685531,0.00011007286,0.000001912306,0.0006194151,0.8879187,0.07957251,0.018144256,0.000017485781,0.013359498],"study_design_scores_gemma":[0.00033752673,0.000020274963,0.0017043069,0.00030451268,0.00002394846,0.00001056404,0.0020145269,0.9784206,0.008800906,0.008225428,0.00006437752,0.00007300806],"about_ca_topic_score_codex":0.000015629752,"about_ca_topic_score_gemma":0.000004177169,"teacher_disagreement_score":0.8571381,"about_ca_system_score_codex":0.00029411097,"about_ca_system_score_gemma":0.00014862265,"threshold_uncertainty_score":0.33092704},"labels":[],"label_agreement":null},{"id":"W4414786717","doi":"10.1177/02783649251364000","title":"FORESEER: Recognize and utilize uncertainties by integrating data-based learning and symbolic feedback","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Evolutionary Algorithms and Applications","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 Victoria","funders":"National Key Research and Development Program of China; Fundamental Research Funds for the Central Universities; Beijing Nova Program; National Natural Science Foundation of China","keywords":"Benchmark (surveying); Adaptability; Robot; Parametric statistics; Feed forward; Feature (linguistics); Online model; Control (management)","score_opus":0.07047487487588197,"score_gpt":0.39788590281290953,"score_spread":0.3274110279370276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414786717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02238353,0.0043741805,0.88928086,0.08201616,0.00036914504,0.00020140744,0.000016240496,0.00002524617,0.001333205],"genre_scores_gemma":[0.8996715,0.001645807,0.09669374,0.00028012885,0.00017083091,0.0000070537853,0.000015345195,0.000009168191,0.0015064224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984931,0.00016777779,0.0002880573,0.00018526323,0.0006916545,0.00017417288],"domain_scores_gemma":[0.9973724,0.0012194047,0.00011958999,0.00023625282,0.0009918909,0.000060469134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023117233,0.00007492415,0.00011383811,0.00023246961,0.00032441257,0.0004493695,0.0018874798,0.00003505282,0.0000062003255],"category_scores_gemma":[0.00073308626,0.00005190088,0.000025539604,0.000330596,0.00023478943,0.0003326831,0.00097634946,0.0006324749,0.0000021469518],"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":[0.00016939195,0.00036321505,0.01322855,0.000069174,0.0006090648,0.000038343038,0.0011537429,0.017504517,0.005087075,0.49537748,0.07785703,0.3885424],"study_design_scores_gemma":[0.0005793887,0.00010264055,0.0015406209,0.00019140406,0.000011604194,0.00007363775,0.0006863717,0.93202025,0.00038095308,0.029538166,0.034781843,0.00009309919],"about_ca_topic_score_codex":0.000073706375,"about_ca_topic_score_gemma":0.000013404602,"teacher_disagreement_score":0.91451573,"about_ca_system_score_codex":0.0000845972,"about_ca_system_score_gemma":0.00026437175,"threshold_uncertainty_score":0.43332803},"labels":[],"label_agreement":null},{"id":"W4415782431","doi":"10.1177/02783649251365282","title":"Learning an interpretable logic monitor for risk-aware and socially-compliant trajectory planning","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Autonomous Vehicle Technology and Safety","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":"Artificial Intelligence in Medicine (Canada)","funders":"Toyota Research Institute, North America","keywords":"Leverage (statistics); Task (project management); Parameterized complexity; Trajectory; Software deployment; Robot; Control (management); Plan (archaeology)","score_opus":0.05053092852164519,"score_gpt":0.3791718383832804,"score_spread":0.3286409098616352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415782431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62059724,0.0020460985,0.36948183,0.0045077233,0.0014459171,0.00028201743,0.000011084191,0.00012534129,0.0015027637],"genre_scores_gemma":[0.9960527,0.00034780498,0.0031212575,0.000025139418,0.00016460767,0.0000045503957,0.0000015362161,0.000012043075,0.00027037069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990978,0.000100334924,0.00025153035,0.00007952007,0.00027285944,0.00019795347],"domain_scores_gemma":[0.9988786,0.00051762146,0.0000701315,0.00008178798,0.00041456684,0.000037277237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015188,0.00007452606,0.00013670532,0.0002590837,0.00023422141,0.00007549976,0.0006186502,0.000090609276,0.000008141452],"category_scores_gemma":[0.00025488436,0.00005687497,0.000053056072,0.00009428308,0.00013056073,0.000116008494,0.000098437646,0.0010378261,0.0000018350473],"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":[0.00019502136,0.00004781954,0.00661418,0.000035105495,0.0004984019,0.000028462213,0.0012532126,0.9368679,0.0028166499,0.011003911,0.00094896555,0.03969039],"study_design_scores_gemma":[0.0010432196,0.00044872778,0.01936103,0.00030167427,0.000051780964,0.000076250166,0.0038322557,0.90723485,0.0020669084,0.063917406,0.0014860051,0.00017990805],"about_ca_topic_score_codex":0.000009389867,"about_ca_topic_score_gemma":0.0000108268705,"teacher_disagreement_score":0.37545547,"about_ca_system_score_codex":0.00015397383,"about_ca_system_score_gemma":0.0001159997,"threshold_uncertainty_score":0.45088956},"labels":[],"label_agreement":null},{"id":"W641642611","doi":"10.1177/0278364915583539","title":"Six-degree-of-freedom magnetic actuation for wireless microrobotics","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","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 Toronto","funders":"National Science Foundation","keywords":"Torque; Magnet; Magnetization; Magnetic moment; Coupling (piping); Control theory (sociology); Orientation (vector space); Actuator; Moment (physics); Rigid body; Computer science; Engineering; Mechanical engineering; Magnetic field; Physics; Control (management); Classical mechanics; Mathematics; Artificial intelligence","score_opus":0.15226697238308065,"score_gpt":0.3900196000100654,"score_spread":0.23775262762698476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W641642611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27371636,0.0011138616,0.6988604,0.014487794,0.004965247,0.0010915198,0.00013468247,0.00001539707,0.0056147473],"genre_scores_gemma":[0.9779212,0.00003786385,0.0195295,0.000022920396,0.001376036,0.0000035857665,0.00001578006,0.000025041792,0.0010681143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774903,0.000113436945,0.00057413464,0.0001087677,0.0011824146,0.0002722317],"domain_scores_gemma":[0.9941788,0.0007208804,0.00036456258,0.00022232294,0.004382459,0.00013101398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022526868,0.000115589755,0.0002267597,0.00025732737,0.00008164072,0.00010681586,0.0012805769,0.000048565325,0.000066803674],"category_scores_gemma":[0.0001928756,0.00008217778,0.00017043982,0.00019496593,0.00020477151,0.00013321673,0.00019207492,0.0004020358,0.000017912045],"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":[0.0017336203,0.0013961954,0.014685269,0.00006286982,0.0012048355,0.000024398243,0.0035030663,0.6174271,0.06966774,0.15046084,0.06610304,0.073731035],"study_design_scores_gemma":[0.030756488,0.007884536,0.0050873514,0.0014917481,0.00093047164,0.00040918094,0.020340968,0.42221338,0.17680755,0.28161737,0.050502308,0.0019586317],"about_ca_topic_score_codex":0.000070536815,"about_ca_topic_score_gemma":0.0000089441655,"teacher_disagreement_score":0.7042048,"about_ca_system_score_codex":0.00011574607,"about_ca_system_score_gemma":0.0005873013,"threshold_uncertainty_score":0.33511126},"labels":[],"label_agreement":null},{"id":"W790429187","doi":"10.1177/0278364915583680","title":"Relaxing the planar assumption: 3D state estimation for an autonomous surface vessel","year":2015,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","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":"Bathymetry; Computer science; Kalman filter; Extended Kalman filter; Computer vision; Filter (signal processing); Unmanned surface vehicle; Artificial intelligence; Planar; Shore; Ground truth; Point (geometry); Iterative closest point; Field (mathematics); Surface (topology); Algorithm; Marine engineering; Geology; Engineering; Point cloud; Geography; Mathematics; Computer graphics (images); Cartography","score_opus":0.19366899490568734,"score_gpt":0.3908007009690666,"score_spread":0.19713170606337926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W790429187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17218141,0.00092788535,0.8108216,0.01354758,0.000925305,0.00041020455,0.000015527816,0.000057530422,0.0011129867],"genre_scores_gemma":[0.98346156,0.00012408964,0.015844468,0.0000325133,0.0002366889,0.0000050106755,0.000007056437,0.000019792722,0.00026879695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983679,0.00019539631,0.00035762836,0.000056187993,0.0008605087,0.00016240016],"domain_scores_gemma":[0.9981623,0.00043115686,0.0001052717,0.00023774237,0.0009833203,0.000080170765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038156423,0.000067910216,0.00009529289,0.000088950335,0.0001368393,0.00029637176,0.0012379492,0.000032571643,0.000003579691],"category_scores_gemma":[0.000049639948,0.00004143034,0.000043044318,0.00009883711,0.000060831353,0.00024389278,0.000064437496,0.0003973488,0.000017449585],"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":[0.000050264975,0.000021346495,0.0000696476,0.000006153092,0.00009654374,0.0000023301031,0.0018189483,0.98829997,0.0016954585,0.00076568575,0.00288242,0.0042912625],"study_design_scores_gemma":[0.00045412756,0.00013756701,0.00015262378,0.000052874562,0.00000895256,0.0001269935,0.0010166538,0.9652186,0.001627618,0.0071160174,0.024016213,0.00007177417],"about_ca_topic_score_codex":0.00003847013,"about_ca_topic_score_gemma":0.00002649197,"teacher_disagreement_score":0.8112802,"about_ca_system_score_codex":0.00025769227,"about_ca_system_score_gemma":0.000117924705,"threshold_uncertainty_score":0.28579196},"labels":[],"label_agreement":null}]}