{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":35,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":35,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"8cb548769300","filters":{"venue":"International Journal of Image and Graphics"}},"results":[{"id":"W2043223183","doi":"10.1142/s0219467805001938","title":"STATE OF THE ART IN THE REALISTIC MODELING OF PLANT VENATION SYSTEMS","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics; Image (mathematics); Set (abstract data type); Artificial intelligence; Algorithm; Computer vision; Computer graphics (images); Theoretical computer science","authors":[{"name":"Julia Taylor-Hell","is_ca":true},{"name":"Gladimir V. G. Baranoski","is_ca":true},{"name":"Jon Rokne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01458215476437153,"gpt":0.2254000124706538,"spread":0.2108178577062823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505762,0.0008198391,0.001347015,0.0009173297,0.0005936824,0.003777778,0.002374061,0.002312635,0.004549467],"category_scores_gemma":[0.004981414,0.0008823061,0.001658515,0.001144345,0.001456587,0.002794702,0.001334252,0.001646395,0.001889959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113992,"about_ca_system_score_gemma":0.0008174683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321786,"about_ca_topic_score_gemma":0.00122533,"domain_scores_codex":[0.9990376,0.0002466161,0.00008351857,0.0001240875,0.0004453553,0.00006276477],"domain_scores_gemma":[0.9974293,0.001651767,0.0001665861,0.0004089935,0.0002770618,0.00006626029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008247582,0.00006007052,0.0008266335,0.0009608011,0.0000459511,0.0001578002,0.0002790177,0.7628962,0.01190898,0.1299355,0.002214299,0.09063234],"study_design_scores_gemma":[0.00001393013,0.00005472343,0.0002402265,0.0001275233,0.00002733935,0.0001635575,0.00004437986,0.9329292,0.005013952,0.02961906,0.03172267,0.00004355628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01094423,0.007825265,0.9634461,0.0009257839,0.0001197138,0.00007697562,0.0002151629,0.0008013414,0.01564541],"genre_scores_gemma":[0.3450876,0.04555434,0.5978634,0.0004179391,0.000513854,0.0003882489,0.001283108,0.0006869283,0.008204573],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004549467,"threshold_uncertainty_score":0.01521951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125230560","doi":"10.1142/s021946780200069x","title":"SHAPE-BASED IMAGE RETRIEVAL APPLIED TO TRADEMARK IMAGES","year":2002,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Image retrieval; Invariant (physics); Key (lock); Feature (linguistics); Set (abstract data type); Artificial intelligence; Image (mathematics); Pattern recognition (psychology); Visual Word; Moment (physics); Information retrieval; Mathematics","authors":[{"name":"O. El Badawy","is_ca":true},{"name":"Mohamed S. Kamel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01803891202145843,"gpt":0.2638765497074639,"spread":0.2458376376860055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005066719,0.0005206356,0.001329118,0.00265911,0.0003503705,0.001094518,0.001419895,0.0008377191,0.002236985],"category_scores_gemma":[0.002395828,0.0003243387,0.0008379386,0.00268167,0.0005125656,0.001603471,0.0006514218,0.0004155245,0.001628793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005695497,"about_ca_system_score_gemma":0.000419118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002214395,"about_ca_topic_score_gemma":0.00220277,"domain_scores_codex":[0.9992029,0.0001012595,0.00005274072,0.0001359957,0.000444978,0.00006206593],"domain_scores_gemma":[0.9992509,0.0001490594,0.000102262,0.0002279123,0.0002357002,0.00003406731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003877103,0.000128396,0.001587729,0.0001991533,0.00009353874,0.0002208786,0.00008169759,0.01959028,0.1300053,0.004215374,0.003578153,0.8399118],"study_design_scores_gemma":[0.00007751796,0.0004160386,0.006205235,0.00002193765,0.0001214871,0.002126094,0.00007885185,0.8033841,0.1717416,0.004853643,0.01087017,0.0001032925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06771883,0.001360746,0.9227559,0.00022957,0.0001299897,0.0002187123,0.0002400473,0.004184214,0.003161998],"genre_scores_gemma":[0.3613329,0.000818555,0.6339269,0.0001430759,0.0001316883,0.0001276144,0.000513802,0.000180855,0.002824605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00265911,"threshold_uncertainty_score":0.007483482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059657882","doi":"10.1142/s0219467806002379","title":"REINFORCED CONTRAST ADAPTATION","year":2006,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Contrast (vision); Computer science; Artificial intelligence; Observer (physics); Image (mathematics); Reinforcement learning; Histogram; Computer vision; Ideal (ethics); Adaptation (eye); Transformation (genetics); Point (geometry); Algorithm; Mathematics","authors":[{"name":"Hamid R. Tizhoosh","is_ca":true},{"name":"Graham W. Taylor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00847445703570523,"gpt":0.2639550271641977,"spread":0.2554805701284925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005377331,0.0004624065,0.0003627092,0.0002310436,0.0001753203,0.000467656,0.0008721311,0.0005661767,0.00305496],"category_scores_gemma":[0.002827269,0.0001996642,0.0003050547,0.0001368359,0.0003963267,0.0006170063,0.0007812764,0.0006721834,0.0006985056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003722122,"about_ca_system_score_gemma":0.0002644415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008601836,"about_ca_topic_score_gemma":0.0011114,"domain_scores_codex":[0.9996643,0.00007263402,0.00001277246,0.00008503261,0.0001296492,0.00003566837],"domain_scores_gemma":[0.9990743,0.0003853337,0.00009509306,0.000154602,0.0002507723,0.00003981827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004039634,0.0004604768,0.002558557,0.000192202,0.0001473033,0.0002945804,0.0001804335,0.2355269,0.1752981,0.0181949,0.003259879,0.5634828],"study_design_scores_gemma":[0.00005581707,0.0002381057,0.00167854,0.00001488258,0.00003228522,0.0002394574,0.00001739866,0.9476893,0.03757375,0.006432208,0.005999167,0.00002910244],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04816072,0.0001988276,0.9413643,0.0001209685,0.00008695342,0.0001112554,0.00002661704,0.001065983,0.008864407],"genre_scores_gemma":[0.8113232,0.0001550826,0.1812156,0.0001609749,0.00003620939,0.0001317824,0.00004084026,0.0001040383,0.006832371],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00305496,"threshold_uncertainty_score":0.01021981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071347067","doi":"10.1142/s0219467801000359","title":"TWO ALGORITHMS FOR COMPUTING THE EUCLIDEAN DISTANCE TRANSFORM","year":2001,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Algorithm; Euclidean distance; Pixel; Feature (linguistics); Metric (unit); Euclidean geometry; Computer science; Distance transform; Binary number; Image processing; Mathematics; Image (mathematics); Artificial intelligence; Arithmetic","authors":[{"name":"Marina L. Gavrilova","is_ca":true},{"name":"Muhammad H. Alsuwaiyel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02054997366559403,"gpt":0.3258167522426751,"spread":0.3052667785770811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001428968,0.001618463,0.001701792,0.002865486,0.0008759029,0.002635238,0.00284642,0.002010995,0.007389214],"category_scores_gemma":[0.01024217,0.0008768627,0.001325282,0.002786666,0.001312715,0.005248276,0.002729573,0.00267026,0.004975447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176603,"about_ca_system_score_gemma":0.002322121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428825,"about_ca_topic_score_gemma":0.003448756,"domain_scores_codex":[0.9965479,0.0004322562,0.0003161584,0.000735899,0.001626044,0.0003418991],"domain_scores_gemma":[0.9972638,0.0006862268,0.0002068608,0.0006275388,0.001080038,0.0001354922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000331874,0.0001803858,0.000533864,0.0002481647,0.0000572311,0.0001004535,0.0001199278,0.03839707,0.009990929,0.09731311,0.01290371,0.8398232],"study_design_scores_gemma":[0.0004116713,0.0005085038,0.001386859,0.0000937291,0.00009048118,0.001424097,0.0002176691,0.7110367,0.04769943,0.1628637,0.07402254,0.0002446435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001281718,0.0002302494,0.9963506,0.0001177396,0.0001307731,0.00004768421,0.00006092839,0.0006120488,0.001168263],"genre_scores_gemma":[0.018192,0.0003048581,0.9785218,0.00006195813,0.0001186646,0.0002147442,0.0003679024,0.0001444703,0.00207359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007389214,"threshold_uncertainty_score":0.02471942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054255883","doi":"10.1142/s0219467805001859","title":"SCCI-HYBRID METHODS FOR 2D CURVE TRACING","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Continuation; Iterated function; Function (biology); Mathematics; Interval (graph theory); Interval arithmetic; Curve fitting; Jacobian curve; Tripling-oriented Doche–Icart–Kohel curve; Subdivision; Computation; Applied mathematics; Computer science; Algorithm; Mathematical optimization; Mathematical analysis; Elliptic curve; Statistics; Combinatorics","authors":[{"name":"H. Ratschek","is_ca":false},{"name":"Jon Rokne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0119403845379037,"gpt":0.3523424235452721,"spread":0.3404020390073684,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005045001,0.0006541287,0.0005197017,0.001119195,0.0003928292,0.001420915,0.00134258,0.001134507,0.007172487],"category_scores_gemma":[0.001188115,0.000411842,0.0008313186,0.0009546694,0.0008053032,0.0008666385,0.001786753,0.001206255,0.002467252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00074663,"about_ca_system_score_gemma":0.0007280216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221791,"about_ca_topic_score_gemma":0.001868575,"domain_scores_codex":[0.9995525,0.00006063944,0.00001572219,0.00005267552,0.0002894839,0.00002900339],"domain_scores_gemma":[0.9994794,0.0001876252,0.00004059343,0.0001225395,0.0001358917,0.00003391663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001289527,0.0000768338,0.00140716,0.0004621477,0.00007111904,0.0002361435,0.0006163489,0.4217822,0.03403861,0.1782683,0.009884498,0.3530276],"study_design_scores_gemma":[0.00001316579,0.00002415683,0.0001523063,0.00002937535,0.000004675085,0.0001202441,0.0000224694,0.9612448,0.004040897,0.01479859,0.01952734,0.00002201185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002507391,0.0002142354,0.9915501,0.00004929041,0.00005836698,0.00003172552,0.00007365221,0.001207286,0.00430792],"genre_scores_gemma":[0.1337515,0.0005219828,0.8509939,0.00009983188,0.00008796272,0.0002760256,0.000434131,0.0008432,0.01299159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007172487,"threshold_uncertainty_score":0.02399439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068570931","doi":"10.1142/s0219467802000871","title":"FUZZY RELATION CALCULUS IN THE COMPRESSION AND DECOMPRESSION OF FUZZY RELATIONS","year":2002,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Mathematics; Calculus (dental); Fuzzy associative matrix; Relation (database); Fuzzy subalgebra; Fuzzy number; Algebra over a field; Norm (philosophy); Computer science; Algorithm; Fuzzy set; Artificial intelligence; Pure mathematics; Data mining; Epistemology","authors":[{"name":"Vincenzo Loia","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"Salvatore Sessa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01704753559242224,"gpt":0.2717731045827834,"spread":0.2547255689903612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163198,0.0006193586,0.00084276,0.001353279,0.0008526511,0.002146851,0.0008286369,0.00112142,0.002896146],"category_scores_gemma":[0.002737835,0.0003115073,0.001015485,0.002719678,0.00344311,0.004037844,0.001090226,0.002387653,0.0008974044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095128,"about_ca_system_score_gemma":0.0006972752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515848,"about_ca_topic_score_gemma":0.0009421554,"domain_scores_codex":[0.9988012,0.0002972636,0.0001071338,0.0001956509,0.0005130179,0.00008557566],"domain_scores_gemma":[0.9994286,0.0003121494,0.00004545858,0.00008453177,0.0001023473,0.00002691922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004680568,0.00002714299,0.0001112035,0.0002262558,0.00001561009,0.00023589,0.0003784229,0.01495572,0.005273049,0.9213884,0.002078973,0.05526247],"study_design_scores_gemma":[0.00002789024,0.0001177598,0.0002729603,0.0001057823,0.00003364378,0.000526999,0.000120137,0.08802593,0.006646496,0.8617796,0.04227873,0.00006406559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009867059,0.01278561,0.9589928,0.0008355019,0.0004715488,0.00009348614,0.00008576243,0.0001793367,0.01668895],"genre_scores_gemma":[0.2400121,0.02240439,0.7169098,0.0008845341,0.002129225,0.0002432132,0.0001942939,0.0001338495,0.01708858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002896146,"threshold_uncertainty_score":0.009688616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092919318","doi":"10.1142/s0219467804001269","title":"SOLUTION OF CAMERA REGISTRATION PROBLEM VIA 3D-2D PARAMETERIZED MODEL MATCHING FOR ON-ROAD NAVIGATION","year":2004,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"GLS Industries (Canada)","funders":"","keywords":"Computer vision; Parameterized complexity; Artificial intelligence; Computer science; Position (finance); Matching (statistics); Algorithm; Mathematics","authors":[{"name":"Zhencheng Hu","is_ca":true},{"name":"Keiichi Uchimura","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01382877602922284,"gpt":0.2567674431821105,"spread":0.2429386671528877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004511046,0.0006457468,0.0008986745,0.0005966497,0.0005314826,0.0006915422,0.001132867,0.001144997,0.001844904],"category_scores_gemma":[0.001697856,0.0005297248,0.0009896165,0.0006890154,0.0004936034,0.001492353,0.001201486,0.0009500658,0.0007241654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005174027,"about_ca_system_score_gemma":0.001129397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004628677,"about_ca_topic_score_gemma":0.004203346,"domain_scores_codex":[0.9993506,0.0001666557,0.00002886551,0.000200254,0.00019628,0.00005729288],"domain_scores_gemma":[0.9995658,0.00009796734,0.00008257588,0.0001433014,0.00008933104,0.00002099213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001177524,0.0001173414,0.001334744,0.0001134095,0.0001171427,0.000213576,0.0002660909,0.512396,0.03463021,0.02618941,0.002594273,0.42191],"study_design_scores_gemma":[0.00001092133,0.00004187765,0.0003312477,0.000003882211,0.00001301496,0.0001075794,0.00004280106,0.9879792,0.005336191,0.004260367,0.001858087,0.00001496224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004569728,0.00001869413,0.9949104,0.00002076895,0.000006656805,0.000009154592,0.000007907429,0.0001693856,0.0002872615],"genre_scores_gemma":[0.2648686,0.0001446511,0.7324219,0.00004548387,0.00002895358,0.00008172431,0.000192857,0.0001702571,0.002045497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004628677,"threshold_uncertainty_score":0.009203494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045996208","doi":"10.1142/s0219467811004214","title":"IMPROVEMENT OF COLORIZATION REALISM VIA THE STRUCTURE TENSOR","year":2011,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council","keywords":"Grayscale; Computer science; Artificial intelligence; Contrast (vision); Computer vision; Image (mathematics); Structure tensor; Color image; Heuristic; Set (abstract data type); Projection (relational algebra); Algorithm; Image processing","authors":[{"name":"Mark S. Drew","is_ca":true},{"name":"Graham D. Finlayson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01465797765540951,"gpt":0.2713228532795176,"spread":0.2566648756241081,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006108048,0.0009534859,0.0004110219,0.0005392269,0.0004350338,0.001559451,0.0006700503,0.0003966614,0.00343234],"category_scores_gemma":[0.002476745,0.0004728495,0.0005546868,0.0003385831,0.001118239,0.001675512,0.001658929,0.001496385,0.0005869069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837613,"about_ca_system_score_gemma":0.0006246694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138,"about_ca_topic_score_gemma":0.001682063,"domain_scores_codex":[0.9996874,0.00007599354,0.00001137698,0.00006916276,0.0001193237,0.0000368696],"domain_scores_gemma":[0.9992792,0.0002060876,0.00008255959,0.0002237023,0.0001495502,0.00005895673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003182341,0.0001091887,0.001953509,0.0003058429,0.0000736739,0.0002252981,0.0006563009,0.1987126,0.3748115,0.1861033,0.005315343,0.2314153],"study_design_scores_gemma":[0.00005007747,0.0001564717,0.001120605,0.00003413561,0.00003847248,0.0002845813,0.0001177612,0.8704589,0.07930884,0.03478589,0.01357246,0.00007183672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03686618,0.0000821376,0.9558182,0.0002177566,0.0000592307,0.00004139539,0.00003607823,0.001066463,0.005812512],"genre_scores_gemma":[0.4665692,0.0002423005,0.5285503,0.0001684577,0.00004254382,0.00005817108,0.00008058266,0.0006247754,0.003663675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00343234,"threshold_uncertainty_score":0.0114823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076065916","doi":"10.1142/s0219467808003064","title":"HARDWARE-ACCELERATED PARALLEL-SPLIT SHADOW MAPS","year":2008,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Alberta","keywords":"Rendering (computer graphics); Computer science; Anti-aliasing; Shadow mapping; Computer vision; Computer graphics (images); Shadow (psychology); Aliasing; Artificial intelligence; Frustum; Real-time rendering; Mathematics; Computer hardware; Geometry","authors":[{"name":"Fan Zhang","is_ca":false},{"name":"Hanqiu Sun","is_ca":false},{"name":"Leilei Xu","is_ca":false},{"name":"KITLUN LEE","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0313779788241353,"gpt":0.3017263860634007,"spread":0.2703484072392655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195166,0.0005395053,0.0004369614,0.0003591844,0.0002810029,0.0004383856,0.0005329489,0.0001721513,0.00488205],"category_scores_gemma":[0.000530662,0.0002439538,0.0003161646,0.0003190074,0.0002593043,0.0004546935,0.0007974523,0.0004038165,0.0006031909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002963874,"about_ca_system_score_gemma":0.0004659096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537241,"about_ca_topic_score_gemma":0.001944746,"domain_scores_codex":[0.9998631,0.00000914283,0.000004259051,0.00001599486,0.00008405274,0.00002333379],"domain_scores_gemma":[0.999762,0.00005706704,0.00001936002,0.00007707759,0.00006418747,0.00002029722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005724803,0.0001328766,0.001133589,0.000165184,0.00003874142,0.0002678688,0.0003649111,0.1007028,0.3141658,0.01019937,0.003860319,0.568396],"study_design_scores_gemma":[0.00007199803,0.0001618853,0.001097067,0.000007903467,0.00001699683,0.0003845126,0.00006743205,0.7808273,0.203187,0.004286781,0.009863439,0.00002768514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024255,0.0001669735,0.8891701,0.00006303692,0.000048752,0.00008312727,0.00008834946,0.003269107,0.004685001],"genre_scores_gemma":[0.5775715,0.0001627107,0.4166999,0.00002906533,0.00002774867,0.00005870793,0.0001781617,0.0002970107,0.004975154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00488205,"threshold_uncertainty_score":0.01633203,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030907689","doi":"10.1142/s0219467807002829","title":"CAPTURING AND RE-USING ARTISTIC STYLES WITH REVERSE SUBDIVISION-BASED MULTIRESOLUTION METHODS","year":2007,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Rendering (computer graphics); Computer science; Multiresolution analysis; Classification of discontinuities; Artificial intelligence; Non-photorealistic rendering; Computer vision; Computer graphics (images); Point (geometry); Mathematics; Geometry; Geography","authors":[{"name":"Meru Brunn","is_ca":true},{"name":"Mário Costa Sousa","is_ca":true},{"name":"Faramarz Samavati","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02507364443801252,"gpt":0.3677274796470563,"spread":0.3426538352090437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007238235,0.0006984257,0.0007021186,0.001399133,0.0003207304,0.001583259,0.0009851481,0.0005933899,0.001986213],"category_scores_gemma":[0.003396533,0.0006257276,0.001116625,0.001030086,0.0005359775,0.00154399,0.001405812,0.001160853,0.0009331334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294402,"about_ca_system_score_gemma":0.0003100537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009673195,"about_ca_topic_score_gemma":0.001316438,"domain_scores_codex":[0.9992804,0.0001091222,0.00004703074,0.0001078221,0.0003926087,0.00006302429],"domain_scores_gemma":[0.9987713,0.000348768,0.0001064651,0.0005589104,0.0001645814,0.00005007673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001514499,0.00007578509,0.0009686389,0.0002480254,0.00008120052,0.0002755277,0.001015853,0.08536519,0.2630409,0.01368265,0.00184905,0.6332456],"study_design_scores_gemma":[0.00004787033,0.0001012992,0.001581341,0.00004758013,0.0000526019,0.0007811979,0.000143737,0.8630387,0.1073566,0.01028433,0.01648295,0.00008189011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01260013,0.0000916147,0.9856694,0.00003449975,0.00001436601,0.00002996675,0.00001902201,0.0006855231,0.00085547],"genre_scores_gemma":[0.1334016,0.0002380873,0.8646167,0.00003334984,0.00002351642,0.00005608467,0.0001047736,0.0003724971,0.001153297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001986213,"threshold_uncertainty_score":0.006644547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206100981","doi":"10.1142/s0219467823500195","title":"Multimodal Biometric Person Authentication Using Face, Ear and Periocular Region Based on Convolution Neural Networks","year":2021,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Biometrics; Computer science; Artificial intelligence; Feature (linguistics); Identification (biology); Convolutional neural network; Face (sociological concept); Feature extraction; Pattern recognition (psychology); Modality (human–computer interaction); Authentication (law); Facial recognition system; Convolution (computer science); Artificial neural network; Computer vision; Computer security","authors":[{"name":"M. S. Lohith","is_ca":false},{"name":"Yoga Suhas Kuruba Manjunath","is_ca":true},{"name":"M. N. Eshwarappa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02852861381814475,"gpt":0.2768970122431295,"spread":0.2483683984249847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003831256,0.0005118262,0.0007147112,0.0005377569,0.0002604237,0.0004148495,0.0004475549,0.000542232,0.003033664],"category_scores_gemma":[0.0006051888,0.0001534869,0.000579097,0.0004481609,0.0002285171,0.0008417924,0.0005443453,0.0004168303,0.001016108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004832934,"about_ca_system_score_gemma":0.000327284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00271783,"about_ca_topic_score_gemma":0.003409223,"domain_scores_codex":[0.999638,0.0000427273,0.00002115586,0.0001018516,0.0001441154,0.00005215245],"domain_scores_gemma":[0.9998374,0.00002874726,0.00002789032,0.00002425664,0.00007082933,0.00001093375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001125314,0.000262272,0.00715266,0.0002457885,0.0001998677,0.0004973619,0.00009310148,0.04596754,0.1534067,0.002554779,0.00548239,0.7830122],"study_design_scores_gemma":[0.00002178118,0.0004183967,0.01343892,0.00004657854,0.0001352136,0.001467292,0.00005597522,0.8788824,0.09936434,0.001769742,0.004337799,0.00006159025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2460508,0.003036341,0.7351258,0.0005245379,0.0003826013,0.0001673757,0.0008112959,0.004517069,0.009384145],"genre_scores_gemma":[0.8714129,0.001028129,0.1170423,0.0001763353,0.00006589296,0.0000677979,0.000786607,0.00004764258,0.009372279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003033664,"threshold_uncertainty_score":0.01014864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094283905","doi":"10.1142/s0219467809003514","title":"IMAGE WATERMARKING BASED ON THE HESSENBERG TRANSFORM","year":2009,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Digital watermarking; Watermark; Robustness (evolution); Embedding; Computer science; Artificial intelligence; Domain (mathematical analysis); Computer vision; Transformation (genetics); Frequency domain; Image (mathematics); Algorithm; Pattern recognition (psychology); Mathematics","authors":[{"name":"Hassen Seddik","is_ca":false},{"name":"Mounir Sayadi","is_ca":false},{"name":"Farhat Fnaiech","is_ca":false},{"name":"Mohamed Cheriet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009864747731416344,"gpt":0.2612248349599786,"spread":0.2513600872285622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001868543,0.0002605752,0.0003469731,0.0007428281,0.0001692803,0.0006720668,0.0002895291,0.0004949279,0.002035381],"category_scores_gemma":[0.0006162883,0.0001324824,0.0003030491,0.0007222198,0.0006392529,0.001041869,0.0003643168,0.000527407,0.0009490991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397024,"about_ca_system_score_gemma":0.000314758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002666403,"about_ca_topic_score_gemma":0.0002088476,"domain_scores_codex":[0.9998001,0.00004245168,0.00001026532,0.0000309444,0.000101259,0.00001487796],"domain_scores_gemma":[0.9998353,0.00006711006,0.00002673385,0.00002458625,0.00003887193,0.000007414743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003612083,0.00005606819,0.0005225644,0.0003410308,0.0000564963,0.0004579608,0.0001406277,0.08405408,0.305564,0.2041192,0.00414402,0.4001827],"study_design_scores_gemma":[0.00004723147,0.0003333867,0.0009811423,0.00003333811,0.00003060243,0.001176137,0.00004964357,0.7596326,0.1506333,0.05570863,0.03127465,0.00009935331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03734374,0.001821239,0.9466918,0.000458573,0.0002362216,0.00006608645,0.0001091512,0.0008241288,0.01244899],"genre_scores_gemma":[0.6285414,0.004510527,0.3420349,0.0001667884,0.0003345687,0.0001161299,0.0002743308,0.0001358817,0.0238855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002035381,"threshold_uncertainty_score":0.006808996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090978288","doi":"10.1142/s021946780600232x","title":"MTAR: A ROBUST 2D SHAPE REPRESENTATION","year":2006,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Maxima and minima; Affine transformation; Smoothing; Representation (politics); Wavelet transform; Curvature; Mathematics; Scale (ratio); Boundary (topology); Computer science; Artificial intelligence; Algorithm; Pattern recognition (psychology); Wavelet; Computer vision; Geometry; Mathematical analysis","authors":[{"name":"Ibrahim El Rube","is_ca":true},{"name":"Naif Alajlan","is_ca":true},{"name":"Mohamed S. Kamel","is_ca":true},{"name":"Maher Ahmed","is_ca":true},{"name":"G.H. Freeman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01892522491854063,"gpt":0.2817611683597778,"spread":0.2628359434412372,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004694074,0.0009136578,0.0009710385,0.002735275,0.0002749785,0.00148137,0.001516736,0.001040699,0.004879162],"category_scores_gemma":[0.001800569,0.0005423855,0.001309188,0.002494771,0.0003694118,0.002078272,0.001156864,0.0009020018,0.00389582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075313,"about_ca_system_score_gemma":0.0004418706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198402,"about_ca_topic_score_gemma":0.001137241,"domain_scores_codex":[0.9992064,0.0001059579,0.00004438973,0.0001622993,0.0004238249,0.000057209],"domain_scores_gemma":[0.9994511,0.0001118548,0.00009164831,0.000161604,0.0001598788,0.00002396926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002450703,0.00005672856,0.0007609672,0.0002285045,0.00006799057,0.000214708,0.00008491733,0.0440748,0.05014117,0.01213864,0.01084832,0.8811383],"study_design_scores_gemma":[0.00002454521,0.0001785541,0.001533332,0.00004792502,0.0000442868,0.001190717,0.00007437234,0.9360072,0.0268107,0.007874508,0.02611806,0.0000957778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004308699,0.0003197579,0.991527,0.00007327778,0.00006706562,0.00005848809,0.0004428869,0.002107596,0.001095174],"genre_scores_gemma":[0.1318662,0.001162375,0.858516,0.000270122,0.0001888127,0.000241649,0.003146257,0.0008547991,0.003753779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004879162,"threshold_uncertainty_score":0.01632249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016411822","doi":"10.1142/s0219467801000141","title":"COMPUTING LINE INTERSECTIONS","year":2001,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Intersection (aeronautics); Line (geometry); Algorithm; Point (geometry); Computation; Subroutine; Floating point; Computer science; Binary number; Mathematics; Arithmetic; Geometry","authors":[{"name":"Marina L. Gavrilova","is_ca":true},{"name":"Jon Rokne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01554315464074181,"gpt":0.2920000189865417,"spread":0.2764568643457999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007691163,0.001518574,0.002202107,0.00357223,0.001530863,0.003219811,0.002834885,0.00140989,0.01682838],"category_scores_gemma":[0.00760552,0.0008302144,0.001251797,0.003142666,0.0009456762,0.005095412,0.003824293,0.001679903,0.00617294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937576,"about_ca_system_score_gemma":0.001051878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166055,"about_ca_topic_score_gemma":0.001364755,"domain_scores_codex":[0.9974368,0.0002482671,0.0001604297,0.000567758,0.001328536,0.0002583145],"domain_scores_gemma":[0.9976803,0.000843771,0.0002517418,0.0003397219,0.0007887675,0.00009561858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005986419,0.0001800957,0.004031241,0.0006324637,0.0001532981,0.0006252393,0.0006386174,0.1686615,0.01969777,0.08589624,0.01082237,0.7080625],"study_design_scores_gemma":[0.0001031342,0.00029381,0.001110183,0.0001056586,0.0000671329,0.0007402744,0.0005738927,0.8146979,0.04716514,0.1018501,0.0331749,0.0001178918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01608771,0.000173135,0.978337,0.00004818995,0.00005059572,0.00008029748,0.000219432,0.001860351,0.003143316],"genre_scores_gemma":[0.1686904,0.0002963138,0.8245463,0.0000393281,0.00004876765,0.0001850993,0.002044509,0.0006636308,0.003485634],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01682838,"threshold_uncertainty_score":0.05629659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966039687","doi":"10.1142/s0219467806002288","title":"RAYSET: A TAXONOMY FOR IMAGE-BASED RENDERING","year":2006,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Rendering (computer graphics); Image warping; Computer science; Image-based modeling and rendering; Artificial intelligence; Computer vision; Taxonomy (biology); Image-based lighting; Computer graphics (images)","authors":[{"name":"Minglun Gong","is_ca":true},{"name":"Yee‐Hong Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0173661186197663,"gpt":0.283817664984287,"spread":0.2664515463645207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003256247,0.002250049,0.002156164,0.00792866,0.00198726,0.009134692,0.005446637,0.003128896,0.00962478],"category_scores_gemma":[0.006187569,0.001381369,0.002912454,0.00777516,0.004344299,0.01138984,0.003931327,0.006265783,0.006120135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008986,"about_ca_system_score_gemma":0.001672702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140932,"about_ca_topic_score_gemma":0.001645434,"domain_scores_codex":[0.9960508,0.0007060191,0.0005656055,0.0005853251,0.001866538,0.0002258],"domain_scores_gemma":[0.9964204,0.001064235,0.0003033488,0.001055648,0.0009041083,0.0002523333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007865063,0.00006057812,0.0003837319,0.001278801,0.0000458159,0.0003465129,0.001573329,0.005723917,0.004561459,0.6882927,0.01955333,0.2781011],"study_design_scores_gemma":[0.00002121184,0.000112428,0.0003760004,0.0007663613,0.00004628178,0.001598718,0.0004112304,0.03519014,0.004575223,0.2650208,0.6917466,0.0001349652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009821239,0.009020451,0.9659654,0.0004161649,0.0004616249,0.0002938024,0.0003928662,0.00267791,0.01978964],"genre_scores_gemma":[0.02100777,0.01625563,0.9425912,0.000612276,0.0006680706,0.0009325704,0.001491531,0.001489115,0.01495171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00962478,"threshold_uncertainty_score":0.03219807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049086696","doi":"10.1142/s0219467803001044","title":"PERSONALIZED FACE ANIMATION IN SHOWFACE SYSTEM","year":2003,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Animation; Parsing; Component (thermodynamics); Multimedia; Computer facial animation; Face (sociological concept); Presentation (obstetrics); Visual modeling; Human–computer interaction; Computer animation; Computer graphics (images); Artificial intelligence; Programming language; Unified Modeling Language","authors":[{"name":"Ali Arya","is_ca":true},{"name":"Babak Hamidzadeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02352355178853625,"gpt":0.3397787920331466,"spread":0.3162552402446104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004464098,0.0003921137,0.0005814204,0.0003822527,0.0005424897,0.0008378074,0.0009371655,0.001198115,0.01296836],"category_scores_gemma":[0.001299826,0.0002878656,0.0003811482,0.0001852554,0.0002458369,0.001710876,0.001273841,0.0007526912,0.002722535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119091,"about_ca_system_score_gemma":0.0002360595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071324,"about_ca_topic_score_gemma":0.0009913051,"domain_scores_codex":[0.9996821,0.00007467155,0.00001369424,0.00006124264,0.0001214362,0.00004687068],"domain_scores_gemma":[0.9996663,0.0001105958,0.00001810504,0.00008913968,0.00005838691,0.00005740775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001530082,0.0003708573,0.002509443,0.0002657814,0.00006383543,0.002142181,0.001114551,0.03999243,0.230804,0.03387355,0.04965667,0.6376767],"study_design_scores_gemma":[0.0001413851,0.0003896822,0.003035938,0.00004353934,0.00006778194,0.002108091,0.0002133927,0.7269737,0.1493349,0.01383048,0.1037397,0.0001214718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05882571,0.0002155784,0.9012594,0.00044674,0.0001366439,0.0002052561,0.0002470745,0.02378663,0.01487691],"genre_scores_gemma":[0.5167996,0.0005356658,0.4413477,0.0003688111,0.0002228973,0.0003512035,0.001231536,0.001476316,0.03766629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01296836,"threshold_uncertainty_score":0.04338348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026324054","doi":"10.1142/s0219467814500132","title":"Multibiometric System Using Level Set, Modified LBP and Random Forest","year":2014,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Biometrics; Computer science; Local binary patterns; Artificial intelligence; Pattern recognition (psychology); Face (sociological concept); Iris recognition; Feature (linguistics); IRIS (biosensor); Set (abstract data type); Boundary (topology); Feature extraction; Random forest; Process (computing); Feature vector; Feature selection; Computer vision; Histogram; Image (mathematics); Mathematics","authors":[{"name":"Kaushik Roy","is_ca":false},{"name":"Brian O’Connor","is_ca":false},{"name":"Foysal Ahmad","is_ca":false},{"name":"Mohamed S. Kamel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0491726033402247,"gpt":0.2956917217472233,"spread":0.2465191184069986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009584448,0.0004887292,0.0008064489,0.001617203,0.000418756,0.0006823348,0.0009506634,0.0008246373,0.001808915],"category_scores_gemma":[0.00166172,0.0003367921,0.0007698202,0.001167289,0.0003341607,0.001459348,0.0008707424,0.0006667271,0.0008933831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004898604,"about_ca_system_score_gemma":0.0004847008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432086,"about_ca_topic_score_gemma":0.00149332,"domain_scores_codex":[0.9992084,0.0001056351,0.00004286505,0.0001797501,0.0003932868,0.0000700346],"domain_scores_gemma":[0.9994728,0.00008103498,0.00008557196,0.0001022453,0.0002232149,0.00003522547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003557761,0.0001711016,0.001787682,0.000169405,0.00008984342,0.00008147348,0.00009285665,0.02370527,0.1244775,0.003329974,0.002084095,0.8436549],"study_design_scores_gemma":[0.00004145167,0.0003760547,0.005309089,0.00003272624,0.00007373045,0.0006089733,0.00004606416,0.891154,0.09322681,0.002910267,0.006121359,0.00009951604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02929263,0.0004181301,0.9672375,0.0001041199,0.00007787447,0.00008646378,0.00008166888,0.001606048,0.001095583],"genre_scores_gemma":[0.3336005,0.0003578551,0.6627083,0.0001434471,0.00006383793,0.0001638915,0.0002883608,0.0001138202,0.002559945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001808915,"threshold_uncertainty_score":0.006051421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050424943","doi":"10.1142/s0219467812500040","title":"CONTOUR INTERPOLATION USING LEVEL-SET ANALYSIS","year":2012,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Interpolation (computer graphics); Computer vision; Artificial intelligence; Curvature; Computer science; Visualization; Tracing; Contour line; Set (abstract data type); Boundary (topology); Trajectory; Motion (physics); Mathematics; Geometry; Geography; Cartography","authors":[{"name":"Dipti Prasad Mukherjee","is_ca":false},{"name":"Nilanjan Ray","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05400067830766171,"gpt":0.3627044970823357,"spread":0.308703818774674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334116,0.0007978879,0.0009945281,0.001978873,0.0004874095,0.00154592,0.002145893,0.001343923,0.002968014],"category_scores_gemma":[0.002798284,0.0009775064,0.001823477,0.001171759,0.0007919295,0.001533635,0.00146145,0.001960031,0.001188911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008913637,"about_ca_system_score_gemma":0.001001709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165501,"about_ca_topic_score_gemma":0.001499893,"domain_scores_codex":[0.9992803,0.0001135075,0.00004281404,0.0001262818,0.000383065,0.00005413286],"domain_scores_gemma":[0.9990369,0.0004172864,0.000101457,0.0002049634,0.0001966249,0.00004282497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001453926,0.00009251104,0.001016091,0.0002165537,0.00009658455,0.0001401619,0.0002520336,0.5824287,0.03767632,0.04352193,0.001732282,0.3326815],"study_design_scores_gemma":[0.000005986054,0.00002306295,0.000080602,0.000008429582,0.000007627893,0.00002809716,0.00000494978,0.9858251,0.005609471,0.006888622,0.001507318,0.00001078329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001676626,0.00002569937,0.99767,0.00001833401,0.00000859465,0.00002183541,0.00001238193,0.0003036238,0.0002629134],"genre_scores_gemma":[0.09865544,0.0001144376,0.8997045,0.00003888676,0.00002206415,0.0001145849,0.0001471598,0.0002891609,0.0009137715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002968014,"threshold_uncertainty_score":0.009929001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997716588","doi":"10.1142/s0219467819500220","title":"Face Identification Based on Discrete Wavelet Transform and Neural Networks","year":2019,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Facial recognition system; Context (archaeology); Wavelet; Pattern recognition (psychology); Face (sociological concept); Authentication (law); Identification (biology); Relevance (law); Machine learning; Computer vision; Computer security","authors":[{"name":"Samrat Pundalik Khadilkar","is_ca":false},{"name":"Sunil R. Das","is_ca":true},{"name":"Mansour H. Assaf","is_ca":false},{"name":"Satyendra N. Biswas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006847477560962715,"gpt":0.2479481766753026,"spread":0.2411006991143398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683088,0.0002399677,0.0003065679,0.0004527186,0.0001560399,0.0003585764,0.0003060143,0.0003503209,0.001054664],"category_scores_gemma":[0.0007808305,0.0001563469,0.0002997038,0.0004662388,0.0002096739,0.0007280976,0.0002774222,0.0004772211,0.0003319577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231405,"about_ca_system_score_gemma":0.0002561998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220442,"about_ca_topic_score_gemma":0.001141084,"domain_scores_codex":[0.9998708,0.00002778649,0.00000570532,0.00002253816,0.00006103233,0.00001210051],"domain_scores_gemma":[0.9998759,0.00005746996,0.00001322015,0.00001284908,0.00003633518,0.000004148276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001658832,0.00006237534,0.0009427579,0.0001276103,0.00006848631,0.0001588599,0.00008756476,0.2575546,0.04048003,0.02901107,0.001319379,0.6700213],"study_design_scores_gemma":[0.000002020862,0.00001616908,0.0003037212,0.000005628973,0.000006014413,0.00004325581,0.000006454363,0.991868,0.004047499,0.003015409,0.0006813338,0.000004485767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01904478,0.0003329157,0.9786152,0.00007685758,0.00004212151,0.00002048628,0.00002076435,0.0001934642,0.001653356],"genre_scores_gemma":[0.5243582,0.001062254,0.4686276,0.00005339989,0.00006483565,0.00008939907,0.0001106068,0.00004371676,0.005589982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001220442,"threshold_uncertainty_score":0.003528237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007581571","doi":"10.1142/s0219467806002343","title":"FREEFORM SURFACE RECONSTRUCTION FROM SCATTERED POINTS USING A DEFORMABLE SPHERICAL MAP","year":2006,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Rehabilitation; Western University","funders":"","keywords":"Surface (topology); Parametric surface; Process (computing); Surface reconstruction; Feature (linguistics); Computer science; Artificial intelligence; Parametric statistics; Coordinate system; Computer vision; Data point; Algorithm; Mathematics; Geometry","authors":[{"name":"George K. Knopf","is_ca":true},{"name":"Archana Sangole","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006503877746537573,"gpt":0.2344470762656905,"spread":0.2279431985191529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018676,0.0004865906,0.000606754,0.0008516569,0.0002464055,0.0006716324,0.0005555003,0.0007063473,0.001383318],"category_scores_gemma":[0.001731926,0.0003867467,0.0007184983,0.0006859991,0.0005237368,0.001100669,0.001115941,0.000679692,0.0005209955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890895,"about_ca_system_score_gemma":0.0004509657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436966,"about_ca_topic_score_gemma":0.001433784,"domain_scores_codex":[0.9997377,0.00003404551,0.00001100377,0.00004819886,0.0001517231,0.0000173987],"domain_scores_gemma":[0.9994764,0.0001875877,0.00004554446,0.0001504324,0.0001145995,0.00002552348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001640064,0.00006031996,0.001570995,0.0001201327,0.00005481734,0.0004336732,0.0003724619,0.5673566,0.07081941,0.01686469,0.001507143,0.3406757],"study_design_scores_gemma":[0.000006350756,0.00002904095,0.0003629909,0.00000496252,0.000004117759,0.0001606005,0.00004299237,0.9842528,0.009464625,0.004487036,0.00116805,0.00001649155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01505051,0.00002538432,0.9840791,0.00003831325,0.000007979729,0.00001288972,0.00002799339,0.0003288187,0.0004289478],"genre_scores_gemma":[0.3217035,0.0001346056,0.6762217,0.00003122232,0.00001503637,0.00004200321,0.0002256773,0.0001178154,0.001508447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001436966,"threshold_uncertainty_score":0.004627585,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2021396313","doi":"10.1142/s0219467806002215","title":"A VR ENHANCED COLLABORATIVE SYSTEM FOR 3D CONFOCAL MICROSCOPIC IMAGE PROCESSING AND VISUALIZATION","year":2006,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Zhejiang University; Nanyang Technological University; Heart and Stroke Foundation of Canada","keywords":"Visualization; Confocal; Computer science; Image processing; Confocal microscopy; Feature (linguistics); Computer vision; Artificial intelligence; Computer graphics (images); Image (mathematics); Optics","authors":[{"name":"Frank Guan","is_ca":false},{"name":"Yiyu Cai","is_ca":false},{"name":"Michał Opas","is_ca":true},{"name":"Zhengkai Xiong","is_ca":false},{"name":"Y. T. Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003488501445035841,"gpt":0.2911343137839461,"spread":0.2876458123389102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275245,0.0008695555,0.0009417614,0.0009438661,0.0004137409,0.001336725,0.002593694,0.00126153,0.03937821],"category_scores_gemma":[0.001943265,0.0006772049,0.0009523219,0.000668594,0.0003945034,0.0009417026,0.002789092,0.001128645,0.009571561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004828382,"about_ca_system_score_gemma":0.001111832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002856556,"about_ca_topic_score_gemma":0.003112176,"domain_scores_codex":[0.9989976,0.0002041088,0.00006258916,0.0002095052,0.0004259636,0.0001001568],"domain_scores_gemma":[0.9990048,0.0002562554,0.00004616617,0.0002827072,0.0002343631,0.0001757017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001507698,0.0004037212,0.001358317,0.0007797048,0.0002156942,0.0009828422,0.0006761032,0.0179669,0.3270669,0.01632617,0.1374284,0.4952877],"study_design_scores_gemma":[0.001024761,0.0009962539,0.004183115,0.0001817698,0.000271937,0.003161725,0.000134625,0.2767292,0.07595568,0.00883203,0.6279672,0.0005616467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005611151,0.0002875517,0.9414276,0.0001581508,0.0001402356,0.0005171505,0.001495765,0.04196743,0.008394945],"genre_scores_gemma":[0.05325196,0.0003963256,0.9238694,0.0002846046,0.00009808928,0.001369705,0.003449118,0.002814418,0.01446627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03937821,"threshold_uncertainty_score":0.1317332,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073105412","doi":"10.1142/s0219467805001823","title":"PROJECTIVE VOLUME RENDERING BY EXCLUDING OCCLUDED VOXELS","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Software, Chinese Academy of Sciences; Chinese University of Hong Kong; University of British Columbia; National Natural Science Foundation of China; University of Alberta","keywords":"Voxel; Volume rendering; Rendering (computer graphics); Computer science; Pixel; Ray casting; Artificial intelligence; Computer vision; 3D rendering; Computer graphics (images); Ray tracing (physics); Optics; Physics","authors":[{"name":"Wencheng Wang","is_ca":false},{"name":"Hanqiu Sun","is_ca":false},{"name":"Enhua Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01607273147530369,"gpt":0.3084739714366779,"spread":0.2924012399613742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008024838,0.001395717,0.001220117,0.0006811899,0.0008090656,0.002058889,0.001226978,0.0005205374,0.005190703],"category_scores_gemma":[0.003454627,0.0007028533,0.001007609,0.0008770532,0.001097902,0.00178637,0.002099616,0.001441645,0.001403418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243997,"about_ca_system_score_gemma":0.0009504755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087547,"about_ca_topic_score_gemma":0.002089819,"domain_scores_codex":[0.9991626,0.0001651277,0.00003831187,0.0001013819,0.0004473007,0.0000852958],"domain_scores_gemma":[0.998778,0.0006310962,0.0001012941,0.0002593174,0.0001753851,0.00005480231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004095915,0.0001465121,0.002242079,0.00049256,0.0001193639,0.0007662217,0.001456943,0.2088587,0.1262099,0.07603313,0.008985394,0.5742797],"study_design_scores_gemma":[0.00008926779,0.0002517106,0.001285514,0.00003907501,0.00009562297,0.0009854417,0.0001701031,0.8187871,0.1078888,0.03013179,0.04018125,0.00009432416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007131778,0.0001072389,0.9891495,0.00005261485,0.00003469923,0.00003341426,0.00002851745,0.001800675,0.001661524],"genre_scores_gemma":[0.1621489,0.0005764186,0.8309525,0.00007397454,0.0001400829,0.0001740712,0.0003038583,0.001099779,0.004530319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005190703,"threshold_uncertainty_score":0.01736462,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3161193347","doi":"10.1142/s0219467822500152","title":"Histogram of Marked Background (HMB) Feature Extraction Method for Arabic Handwriting Recognition","year":2021,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Handwriting; Histogram; Computer science; Artificial intelligence; Pattern recognition (psychology); Hidden Markov model; Handwriting recognition; Pixel; Feature extraction; Feature (linguistics); Arabic; Image (mathematics); Linguistics","authors":[{"name":"Meriem Gagaoua","is_ca":false},{"name":"Hamza Ghilas","is_ca":false},{"name":"Abdelkamel Tari","is_ca":false},{"name":"Mohamed Cheriet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02662348158805402,"gpt":0.3361669086376732,"spread":0.3095434270496192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002232096,0.0006215942,0.0006158227,0.001759751,0.0003045462,0.0004744751,0.0004929589,0.0003893295,0.002987836],"category_scores_gemma":[0.0008005309,0.0002210002,0.0004419681,0.001476448,0.0002310621,0.0007198207,0.0003713483,0.0005102319,0.001801891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002358993,"about_ca_system_score_gemma":0.0004559389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002151859,"about_ca_topic_score_gemma":0.003007474,"domain_scores_codex":[0.9996947,0.00002931826,0.00002385218,0.00006929253,0.000148883,0.00003400213],"domain_scores_gemma":[0.9996152,0.00008034262,0.00006348681,0.00004943934,0.0001600654,0.00003147537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001997548,0.00008834013,0.001598989,0.0002455236,0.00005039468,0.0001770315,0.00005603685,0.00313431,0.1651847,0.0007393772,0.005346676,0.8231789],"study_design_scores_gemma":[0.000113034,0.0007499116,0.05199876,0.0001485181,0.0001900812,0.003385622,0.0002681159,0.3953241,0.4847637,0.003054765,0.05980372,0.0001997539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06421263,0.002355797,0.9220999,0.0002244429,0.0002521492,0.0002291815,0.001195992,0.005672731,0.003757086],"genre_scores_gemma":[0.406668,0.001651288,0.5802356,0.0001538149,0.0001365026,0.0002488668,0.002566685,0.0003452947,0.007994046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002987836,"threshold_uncertainty_score":0.009995282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2042318956","doi":"10.1142/s0219467805001902","title":"PALMPRINTS: A COOPERATIVE CO-EVOLUTIONARY ALGORITHM FOR CLUSTERING HAND IMAGES","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Concordia University; Royal Society of Canada","keywords":"Cluster analysis; Fitness function; Genetic algorithm; Computer science; Curse of dimensionality; Artificial intelligence; Function (biology); Image (mathematics); Evolutionary algorithm; Correlation clustering; Space (punctuation); Pattern recognition (psychology); Data mining; Algorithm; Machine learning; Biology","authors":[{"name":"Nawwaf Kharma","is_ca":true},{"name":"Ching Y. Suen","is_ca":true},{"name":"Pei Guo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0155489777451414,"gpt":0.2969492022614951,"spread":0.2814002245163537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028074,0.0007932973,0.0009063131,0.0009586009,0.0005538392,0.0006612587,0.001367793,0.001434912,0.001648733],"category_scores_gemma":[0.00190272,0.0004452815,0.0006550365,0.0009312295,0.0007103382,0.0007191196,0.001040532,0.0008608596,0.0005137784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006010655,"about_ca_system_score_gemma":0.0008797315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004104439,"about_ca_topic_score_gemma":0.003859629,"domain_scores_codex":[0.9995393,0.0001313004,0.00001784264,0.00009693077,0.000163314,0.00005135636],"domain_scores_gemma":[0.9995763,0.000196143,0.00003533948,0.0000579334,0.0001066196,0.00002762226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008671565,0.00008477209,0.001079598,0.00008235244,0.0001071274,0.0001174061,0.0001784241,0.7425719,0.01308872,0.009393292,0.001527186,0.2316824],"study_design_scores_gemma":[0.00001314159,0.00003619576,0.0001795603,0.000006572089,0.00001069573,0.00006025516,0.00001501611,0.9943223,0.002025532,0.001795022,0.001526873,0.000008885238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0154716,0.0001376187,0.9822336,0.00006663665,0.00002698122,0.00005232107,0.00001944812,0.0004371054,0.001554755],"genre_scores_gemma":[0.2217559,0.0001776882,0.7726627,0.0001095806,0.00002494926,0.0002686633,0.00008454018,0.0001651716,0.004750821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004104439,"threshold_uncertainty_score":0.008161068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2128237130","doi":"10.1142/s0219467803000919","title":"VIEWS OR POINTS OF VIEW ON IMAGES","year":2003,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Object (grammar); GRASP; Representation (politics); Class (philosophy); Interpretation (philosophy); Image (mathematics); Exploit; Logical data model; Semantics (computer science); Point (geometry); Data model (GIS); Object model; Information retrieval; Artificial intelligence; Data modeling; Database; Programming language","authors":[{"name":"Vincent Oria","is_ca":false},{"name":"M. TAMER ÖZSU","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02259649952180506,"gpt":0.2985752403986673,"spread":0.2759787408768623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001384737,0.001075394,0.0007686202,0.003509179,0.000723496,0.006530514,0.001228503,0.002092312,0.01345622],"category_scores_gemma":[0.004921042,0.0005189807,0.001007183,0.002870223,0.002820851,0.009493575,0.003135629,0.001808046,0.004684858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005894798,"about_ca_system_score_gemma":0.0003956007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071697,"about_ca_topic_score_gemma":0.0009650573,"domain_scores_codex":[0.9983658,0.0003270666,0.0001184515,0.000360803,0.0006899986,0.000137845],"domain_scores_gemma":[0.9976948,0.0006765102,0.0001992072,0.0007827617,0.0005124969,0.0001341572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002595518,0.00004640481,0.001284206,0.0008417618,0.00009735518,0.001220031,0.002200839,0.001873033,0.02034997,0.7542049,0.02692067,0.1907013],"study_design_scores_gemma":[0.00005321452,0.0001325422,0.002390056,0.0006541575,0.0001211623,0.002387725,0.001966032,0.01024192,0.01736578,0.4061069,0.5584584,0.0001220299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01577903,0.009977717,0.8379028,0.002327012,0.00154406,0.0003501134,0.002109192,0.003176395,0.1268337],"genre_scores_gemma":[0.2989752,0.02112267,0.6036691,0.00224918,0.002445329,0.0005550273,0.003760375,0.001524601,0.06569842],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01345622,"threshold_uncertainty_score":0.04501557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063694967","doi":"10.1142/s0219467805001732","title":"SHOCK FILTER-BASED DIFFUSION FIELDS — APPLICATION TO GRAYSCALE CHARACTER IMAGE PROCESSING","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Grayscale; Character (mathematics); Computer science; Artificial intelligence; Image processing; Computer vision; Anisotropic diffusion; Image (mathematics); Diffusion; Noise (video); Spurious relationship; Partial differential equation; Algorithm; Pattern recognition (psychology); Mathematics; Geometry; Mathematical analysis","authors":[{"name":"Mohamed Cheriet","is_ca":true},{"name":"Jean−Christophe Demers","is_ca":true},{"name":"SYLVAIN DEBLOIS","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004887411021763783,"gpt":0.2587523063273885,"spread":0.2538648953056248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000280204,0.0002962696,0.0002833245,0.0005896655,0.0002085814,0.000528844,0.0002571628,0.0005647498,0.001287488],"category_scores_gemma":[0.0007589491,0.0001362046,0.0002614524,0.0005151419,0.0003514699,0.0005646365,0.0003221246,0.0003739428,0.000205754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004083632,"about_ca_system_score_gemma":0.0002637624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271608,"about_ca_topic_score_gemma":0.0007866151,"domain_scores_codex":[0.9999369,0.0000134073,0.000004551656,0.00001030547,0.00002825755,0.00000658165],"domain_scores_gemma":[0.9998167,0.00007592325,0.0000200089,0.00001370674,0.00005995493,0.00001376179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002629461,0.00009209437,0.001312615,0.0002614939,0.0000425352,0.0005271872,0.0003169017,0.3000756,0.2212558,0.08250021,0.001932499,0.3914202],"study_design_scores_gemma":[0.00001365312,0.00004882657,0.0003775205,0.0000103882,0.000007101782,0.0001646876,0.000024922,0.9663064,0.02370268,0.006247075,0.003082202,0.00001460307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03397991,0.0003138679,0.9632313,0.0002396187,0.00005995961,0.00004071916,0.00002607219,0.0002777479,0.001830797],"genre_scores_gemma":[0.5331106,0.001307212,0.4549682,0.0001343127,0.00007693676,0.00006863675,0.0000857131,0.00008919137,0.01015919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001287488,"threshold_uncertainty_score":0.004307091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151248231","doi":"10.1142/s0219467805001665","title":"BINARY IMAGE WATERMARKING THROUGH BLURRING AND BIASED BINARIZATION","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Shanghai Jiao Tong University","keywords":"Digital watermarking; Watermark; Discrete cosine transform; Artificial intelligence; Computer vision; Robustness (evolution); Computer science; Preprocessor; Binary number; Image (mathematics); Digital image; Binary image; Algorithm; Pattern recognition (psychology); Image processing; Mathematics; Arithmetic","authors":[{"name":"Haiping Lu","is_ca":true},{"name":"Yun Q. Shi","is_ca":false},{"name":"Alex C. Kot","is_ca":false},{"name":"Lihui Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01214527046137437,"gpt":0.275320130498828,"spread":0.2631748600374537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004864522,0.000569321,0.0005435637,0.0009607592,0.0003136772,0.0007137838,0.0004876544,0.0007205938,0.001043964],"category_scores_gemma":[0.001862304,0.0003439521,0.0002991257,0.001014942,0.0006525935,0.001618079,0.0007255044,0.0005003099,0.0004571196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360489,"about_ca_system_score_gemma":0.000266596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004331508,"about_ca_topic_score_gemma":0.0004338649,"domain_scores_codex":[0.9995762,0.00006369186,0.00002753977,0.00007776084,0.0002155206,0.00003934753],"domain_scores_gemma":[0.9991234,0.000241633,0.0002441072,0.0001433743,0.0002029347,0.0000445251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005181393,0.00006936515,0.001061392,0.000408744,0.00004116783,0.0001711811,0.0001799689,0.01281858,0.6445634,0.01831714,0.0004943681,0.3213566],"study_design_scores_gemma":[0.00009841339,0.0007970682,0.003949322,0.00007044282,0.000101751,0.001962502,0.00005940254,0.2162873,0.7499775,0.01057848,0.01599195,0.0001259317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1240126,0.006464887,0.8658025,0.000268028,0.0001615455,0.00009244834,0.00004602155,0.0007767988,0.002375085],"genre_scores_gemma":[0.6046759,0.004288076,0.3865024,0.000201224,0.0001372496,0.00005548733,0.0001131665,0.0001010143,0.003925467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001043964,"threshold_uncertainty_score":0.003492475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3178965751","doi":"10.1142/s0219467822500358","title":"Spatial Distribution of Ink at Keypoints (SDIK): A Novel Feature for Word Spotting in Arabic Documents","year":2021,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Handwriting; Spotting; Artificial intelligence; Feature (linguistics); Word (group theory); Task (project management); Arabic; Handwriting recognition; Inkwell; Matching (statistics); Natural language processing; Pattern recognition (psychology); Pixel; Feature extraction; Speech recognition; Mathematics; Linguistics","authors":[{"name":"Hamza Ghilas","is_ca":false},{"name":"Meriem Gagaoua","is_ca":false},{"name":"Abdelkamel Tari","is_ca":false},{"name":"Mohamed Cheriet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01076902417691386,"gpt":0.2792518819922136,"spread":0.2684828578152997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000213501,0.0006373856,0.0006930197,0.003486458,0.000262907,0.000808525,0.0005444434,0.0004293918,0.001486136],"category_scores_gemma":[0.001042264,0.0001561714,0.000465872,0.002420363,0.0004378101,0.001197409,0.0005683234,0.0005474769,0.001003361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089236,"about_ca_system_score_gemma":0.0003651739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497293,"about_ca_topic_score_gemma":0.001982067,"domain_scores_codex":[0.9996322,0.00002499459,0.00003548445,0.00007951252,0.0001707137,0.00005696774],"domain_scores_gemma":[0.9991428,0.0001667061,0.0001819216,0.0001061889,0.0003323187,0.00007018926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001276009,0.0001151791,0.0138663,0.0005975491,0.0001024254,0.00084219,0.0002472861,0.01018307,0.2105494,0.001630191,0.006601562,0.7539889],"study_design_scores_gemma":[0.0001238858,0.0008975861,0.08974331,0.0001209138,0.0002987504,0.007833272,0.0007748796,0.4844528,0.3713323,0.004219282,0.03995876,0.0002442589],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3509547,0.004064627,0.6293337,0.0003490979,0.0004080356,0.0002914675,0.002811667,0.005891291,0.005895287],"genre_scores_gemma":[0.8490232,0.001290712,0.1434091,0.00009700817,0.0002244044,0.00009829237,0.001839234,0.000282869,0.003735235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003486458,"threshold_uncertainty_score":0.004971564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152260845","doi":"10.1142/s0219467805001756","title":"NATURAL SKELETONIZATION: NEW APPROACH FOR THE SKELETONIZATION OF HANDWRITTEN CHARACTERS","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Skeletonization; Artificial intelligence; Pixel; Computer science; Pattern recognition (psychology); Computer vision; Binary image; Aerenchyma; Medial axis; Image processing; Image (mathematics); Botany","authors":[{"name":"Amer Dawoud","is_ca":true},{"name":"Mohamed S. Kamel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01214410654730863,"gpt":0.2683526044565506,"spread":0.256208497909242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005410018,0.0008366095,0.0007831447,0.001643772,0.0004558788,0.0008484606,0.001294922,0.0008081537,0.003955122],"category_scores_gemma":[0.001381819,0.000498524,0.0008465839,0.001070547,0.0009381633,0.001686627,0.0008989713,0.0009257093,0.001911047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004049561,"about_ca_system_score_gemma":0.0008122071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137044,"about_ca_topic_score_gemma":0.001733007,"domain_scores_codex":[0.9993423,0.00008434893,0.00005641562,0.0002077864,0.0002622271,0.00004693588],"domain_scores_gemma":[0.9993442,0.0001387698,0.00008818204,0.0001704612,0.0002145346,0.00004387728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001200031,0.00006076058,0.0005340966,0.0002422973,0.00005518755,0.0001498664,0.0001503546,0.02549194,0.08226901,0.01727975,0.004296867,0.8693498],"study_design_scores_gemma":[0.00007203199,0.0002344408,0.001960658,0.00006173374,0.00006987022,0.001520367,0.0001088097,0.7972623,0.114255,0.02247219,0.06189982,0.0000827759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002364605,0.0001160673,0.9961084,0.00002519445,0.00002564206,0.00003310686,0.00001694633,0.0007903244,0.0005196751],"genre_scores_gemma":[0.02714701,0.0002585146,0.9694577,0.00004669424,0.000039428,0.00006109058,0.0001813048,0.0002368138,0.002571361],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003955122,"threshold_uncertainty_score":0.01323122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073187647","doi":"10.1142/s0219467801000372","title":"RECOGNIZING SYMBOLS BY DRAWING THEM","year":2001,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Symbol (formal); Orientation (vector space); Representation (politics); Artificial intelligence; Template matching; Matching (statistics); Variation (astronomy); Scale (ratio); Position (finance); Line (geometry); Pattern recognition (psychology); Computer vision; Arithmetic; Image (mathematics); Mathematics; Geometry; Statistics; Cartography","authors":[{"name":"J. R. Parker","is_ca":true},{"name":"J. Pivovarov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02008008806841422,"gpt":0.2829916620388011,"spread":0.2629115739703868,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004321334,0.001495889,0.001223895,0.001468046,0.0006203156,0.003576105,0.001852555,0.001558497,0.02855141],"category_scores_gemma":[0.004620674,0.0005241748,0.0009303848,0.002076041,0.0009486804,0.003597038,0.001485702,0.001173419,0.01647945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935458,"about_ca_system_score_gemma":0.0005980469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001607709,"about_ca_topic_score_gemma":0.001721851,"domain_scores_codex":[0.9992465,0.0001373005,0.00006390858,0.0002756183,0.0002099142,0.00006674945],"domain_scores_gemma":[0.9989848,0.0003474132,0.00006491112,0.0003472397,0.0002086374,0.0000470879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001845954,0.00004530655,0.0008721702,0.0003962658,0.0000332547,0.0004060485,0.0004770836,0.008967671,0.05185043,0.02088875,0.01128689,0.9045914],"study_design_scores_gemma":[0.00009178704,0.0005753511,0.004519026,0.0004305874,0.0002616284,0.003786054,0.001634424,0.3045762,0.2192814,0.07615268,0.3884352,0.0002557455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02210392,0.0006570407,0.9428402,0.0002446665,0.0004560257,0.0002698606,0.0006229064,0.009962279,0.02284303],"genre_scores_gemma":[0.09401195,0.001346534,0.8869142,0.0002179189,0.0001151317,0.0001665546,0.001959647,0.000986167,0.01428181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02855141,"threshold_uncertainty_score":0.09551394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3081030069","doi":"10.1142/s0219467821500108","title":"Classification of Mammogram Abnormalities Using Legendre Moments","year":2020,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fowler Kennedy Sport Medicine Clinic; Western University","funders":"","keywords":"Extractor; Legendre polynomials; Feature extraction; Classifier (UML); Pattern recognition (psychology); Feature (linguistics); Artificial intelligence; Computer science; Mathematics; Engineering","authors":[{"name":"Rodrigo Dalvit Carvalho da Silva","is_ca":true},{"name":"Thomas R. Jenkyn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04327668158494356,"gpt":0.3047382274338556,"spread":0.261461545848912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008583373,0.0004326045,0.0005274917,0.003065707,0.0001527676,0.0006312786,0.0003539648,0.0004897987,0.001388435],"category_scores_gemma":[0.003189927,0.0001271214,0.0004969922,0.001043844,0.0002645699,0.001025867,0.0002438212,0.0003286403,0.0007030948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223349,"about_ca_system_score_gemma":0.0001599999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007065756,"about_ca_topic_score_gemma":0.001041045,"domain_scores_codex":[0.9994942,0.00007958424,0.0000406034,0.00006621011,0.000261908,0.00005747323],"domain_scores_gemma":[0.9986161,0.0006325641,0.0002281953,0.000108227,0.0003671372,0.00004777549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008831621,0.0001205819,0.03013893,0.000217522,0.0001157081,0.000487842,0.0001114228,0.007522221,0.2018795,0.001075281,0.002845127,0.7546027],"study_design_scores_gemma":[0.00007005405,0.001312664,0.2758773,0.0001028992,0.000363467,0.008158906,0.000518817,0.4292906,0.2716713,0.002856998,0.00954779,0.0002292251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.525814,0.002597906,0.4637401,0.000554295,0.0002306714,0.0001343527,0.0005542287,0.002787154,0.003587323],"genre_scores_gemma":[0.8193562,0.0009961919,0.1766858,0.000102826,0.0001844441,0.00003354709,0.0006667034,0.0001192341,0.001855152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003065707,"threshold_uncertainty_score":0.004644752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062904527","doi":"10.1142/s0219467804001506","title":"INTER-FRAME PREDICTION OF MEDICAL AND VIDEOPHONE SEQUENCES: A DEFORMABLE TRIANGLE-BASED APPROACH","year":2004,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Inter frame; Polygon mesh; Triangle mesh; Motion compensation; Computer vision; Quadtree; Artificial intelligence; Affine transformation; Computer science; Coding (social sciences); Motion estimation; Mathematics; Algorithm; Frame (networking); Computer graphics (images); Reference frame; Geometry","authors":[{"name":"Mehran Yazdi","is_ca":true},{"name":"A. Zaccarin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01579229856697924,"gpt":0.2829446400518992,"spread":0.26715234148492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002857821,0.0005446743,0.0005822104,0.0008242874,0.0001997267,0.0003880217,0.0009159021,0.0007345119,0.001954345],"category_scores_gemma":[0.001069144,0.0002638728,0.000487334,0.0007643168,0.0002184702,0.0005984805,0.0003012455,0.0005834433,0.0006453666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178859,"about_ca_system_score_gemma":0.0003497716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006565372,"about_ca_topic_score_gemma":0.006645083,"domain_scores_codex":[0.9997852,0.00002906296,0.00001418649,0.00005141502,0.00009669791,0.00002342177],"domain_scores_gemma":[0.9996635,0.0001021499,0.00004052084,0.00005592697,0.0001116149,0.00002627403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000361563,0.00009911371,0.0007102044,0.00008386656,0.00004389454,0.0002324482,0.00007978926,0.3036282,0.1051125,0.003140391,0.001358257,0.5851498],"study_design_scores_gemma":[0.000003471816,0.00002602589,0.0001540436,0.000002054321,0.000004554138,0.00003495899,0.00000639807,0.994054,0.004986937,0.000336731,0.0003861947,0.000004730544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02121909,0.0001855595,0.9772781,0.00007559456,0.00003672986,0.00003506266,0.00005013296,0.0004704551,0.0006492648],"genre_scores_gemma":[0.3696285,0.0006492598,0.625058,0.00008892577,0.00005492474,0.0000676449,0.0003823948,0.0002053483,0.003864895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006565372,"threshold_uncertainty_score":0.01305431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076707216","doi":"10.1142/s0219467814500211","title":"Fingerprint Liveness Detection Using Multiple Static Features and Random Forests","year":2014,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Calgary","keywords":"Liveness; Fingerprint (computing); Computer science; Artificial intelligence; Pattern recognition (psychology); Spoofing attack; Random forest; Classifier (UML); Fingerprint recognition; Biometrics; Fingerprint Verification Competition; Noise (video); Image (mathematics)","authors":[{"name":"Yanyan Guo","is_ca":false},{"name":"Qijun Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0135671456756219,"gpt":0.2714141691401842,"spread":0.2578470234645623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587223,0.0008952611,0.001251324,0.003310421,0.000448315,0.0006677843,0.0009342386,0.0009826907,0.0006010566],"category_scores_gemma":[0.002469962,0.0003831277,0.001195548,0.001399703,0.0003875788,0.001263851,0.0005904917,0.0005583639,0.0005163958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030488,"about_ca_system_score_gemma":0.0004018728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296263,"about_ca_topic_score_gemma":0.002859889,"domain_scores_codex":[0.9987856,0.0001950468,0.00007478459,0.0003066346,0.0004551964,0.0001828795],"domain_scores_gemma":[0.9985544,0.0005937847,0.0002404571,0.0001588731,0.0003870095,0.00006548141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000583226,0.0002870476,0.008347678,0.0001495218,0.0001945683,0.0003372911,0.00008476801,0.09205163,0.07157638,0.001148788,0.001465124,0.823774],"study_design_scores_gemma":[0.00001197911,0.0001368022,0.006023515,0.00001582614,0.00006583855,0.0004124815,0.00002970515,0.9710231,0.02033128,0.001165795,0.000748816,0.00003502713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1154263,0.0008635426,0.8810254,0.00007706315,0.00004442575,0.00007090683,0.0001299652,0.001656507,0.0007060253],"genre_scores_gemma":[0.7603247,0.0004516274,0.2372988,0.00004984214,0.00008714936,0.00005982175,0.0004590063,0.00008158383,0.001187329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003310421,"threshold_uncertainty_score":0.008394182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023528786","doi":"10.1142/s0219467804001415","title":"AUTOMATIC IMAGE REGISTRATION USING VIRTUAL CIRCLES","year":2004,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Universidade do Porto; University of Toronto; Purdue University; National Aeronautics and Space Administration","keywords":"Computer vision; Computer science; Artificial intelligence; Similarity (geometry); Enhanced Data Rates for GSM Evolution; Set (abstract data type); Pixel; Image registration; RADIUS; Image (mathematics); Virtual image; Computer graphics (images)","authors":[{"name":"Haikel Alhichri","is_ca":true},{"name":"Mohamed S. Kamel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01693232691643445,"gpt":0.3130827615800261,"spread":0.2961504346635916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492678,0.001003795,0.001594249,0.003174742,0.0007241439,0.002098608,0.001881004,0.001421064,0.002861236],"category_scores_gemma":[0.007476974,0.0008738809,0.001260893,0.00253509,0.001323154,0.003524092,0.002916456,0.001104531,0.001927506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003931736,"about_ca_system_score_gemma":0.0005236155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006648739,"about_ca_topic_score_gemma":0.0005370285,"domain_scores_codex":[0.9957954,0.001429056,0.0002378005,0.001015312,0.001290455,0.0002320231],"domain_scores_gemma":[0.9954869,0.001549677,0.0006891718,0.001575031,0.0005656746,0.00013358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008489519,0.00008944257,0.0012064,0.0003210086,0.0001337428,0.0003353813,0.0005086297,0.05175528,0.1403882,0.01616662,0.002795982,0.7854504],"study_design_scores_gemma":[0.00008460542,0.0005643335,0.003066046,0.00005517001,0.0000919036,0.003060751,0.0002596736,0.6605046,0.2809372,0.01742435,0.03366419,0.0002871567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01746109,0.0002922074,0.979215,0.00005400337,0.00003901605,0.0000673479,0.00004314493,0.001888355,0.0009397455],"genre_scores_gemma":[0.2675915,0.0003414061,0.7292092,0.00004789134,0.0000827676,0.0001198952,0.0002523916,0.0007026763,0.001652363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003174742,"threshold_uncertainty_score":0.009571791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108373964","doi":"10.1142/s0219467809003551","title":"PECSI: A PRACTICAL PERCEPTUALLY-ENHANCED COMPRESSION FRAMEWORK FOR STILL IMAGES","year":2009,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Upsampling; Image compression; Computer science; Artificial intelligence; Computer vision; Quantization (signal processing); Image quality; Compression (physics); Data compression; Perception; Data compression ratio; Texture compression; Encoding (memory); Image (mathematics); Image processing","authors":[{"name":"Alexander Wong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03312077197588812,"gpt":0.3944696626569971,"spread":0.3613488906811089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005535956,0.000790668,0.0004212439,0.0006367123,0.0002424891,0.0005733193,0.001037657,0.0005015274,0.003142535],"category_scores_gemma":[0.001193258,0.0002138392,0.0004069077,0.0003617513,0.000405907,0.0009080155,0.0008333332,0.001038264,0.0008639503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491216,"about_ca_system_score_gemma":0.0004506703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008833758,"about_ca_topic_score_gemma":0.001310657,"domain_scores_codex":[0.9996087,0.00003988081,0.00001395749,0.00003836222,0.0002756131,0.0000235238],"domain_scores_gemma":[0.9996568,0.00009495088,0.00002961033,0.00006405817,0.000131214,0.00002345012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003756416,0.0001228365,0.0004238741,0.0004170562,0.00007274697,0.0005167304,0.0001434384,0.07723706,0.2360863,0.03855121,0.008747496,0.6373056],"study_design_scores_gemma":[0.00005075753,0.0005035888,0.0008768313,0.00005558151,0.00004150954,0.001714708,0.00004211556,0.8380683,0.1127572,0.008491216,0.0373299,0.00006840589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003426489,0.0003158102,0.9935572,0.00004782584,0.00004391392,0.00007952064,0.00005649063,0.001003347,0.001469417],"genre_scores_gemma":[0.09364891,0.0008022508,0.900062,0.0001152906,0.0001093036,0.0001373859,0.0003981765,0.0002219362,0.004504707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003142535,"threshold_uncertainty_score":0.01051283,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}