{"meta":{"query_hash":"5e1627332019","filters":{"venue":"International MultiConference of Engineers and Computer Scientists"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5e1627332019","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+MultiConference+of+Engineers+and+Computer+Scientists"},"results":[{"id":"W124241506","doi":"","title":"Interactive virtual camera control in 3D character animation authoring","year":2007,"lang":"en","type":"article","venue":"International MultiConference of Engineers and Computer Scientists","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Character animation; Computer science; Character (mathematics); Computer graphics (images); Computer facial animation; Animation; Computer animation; Skeletal animation; Multimedia; Human–computer interaction; Artificial intelligence","score_opus":0.00829219243345235,"score_gpt":0.23590432275191764,"score_spread":0.22761213031846528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W124241506","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052159104,0.00040784583,0.9317421,0.00010915171,0.00013730572,0.00009739312,0.00007064792,0.0030716476,0.01220479],"genre_scores_gemma":[0.779919,0.0003059604,0.20558237,0.000068311,0.000047424215,0.00011665695,0.00011046153,0.0008828225,0.01296697],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939895,0.00019822357,0.000023816983,0.00008890193,0.00021964316,0.00007038787],"domain_scores_gemma":[0.9992316,0.00038997614,0.00003676745,0.00014457652,0.00013139647,0.000065674154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005894133,0.0005379602,0.0006183373,0.00041866297,0.00038509283,0.0015051205,0.0011513925,0.0006570357,0.01264299],"category_scores_gemma":[0.0020862948,0.00058627455,0.00035514258,0.00028617773,0.0005953778,0.0007850309,0.0015585715,0.00060599396,0.00091355934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011738044,0.00023522646,0.0010316883,0.00034188485,0.00008233266,0.0005780164,0.0009326057,0.18082556,0.29922023,0.03362373,0.010866632,0.4710883],"study_design_scores_gemma":[0.00007258136,0.00010916981,0.00061036274,0.000027031552,0.000021549646,0.00022035437,0.00007662099,0.90068424,0.07678231,0.004137315,0.017217837,0.00004067801],"about_ca_topic_score_codex":0.0018695473,"about_ca_topic_score_gemma":0.0024977005,"teacher_disagreement_score":0.01264299,"about_ca_system_score_codex":0.00047040384,"about_ca_system_score_gemma":0.00025830473,"threshold_uncertainty_score":0.04229498},"labels":[],"label_agreement":null},{"id":"W141974873","doi":"","title":"The Aiding of MEMS INS/GPS Integration Using Artificial Intelligence for Land Vehicle Navigation","year":2006,"lang":"en","type":"article","venue":"International MultiConference of Engineers and Computer Scientists","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; GPS/INS; Kalman filter; Computer science; Fuzzy logic; Artificial intelligence; Sensor fusion; Filter (signal processing); Navigation system; Control engineering; GPS signals; Adaptive neuro fuzzy inference system; Fuzzy control system; Machine learning; Engineering; Computer vision; Assisted GPS","score_opus":0.021917173513082856,"score_gpt":0.2557421609284469,"score_spread":0.23382498741536406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W141974873","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105299324,0.0021332754,0.88035697,0.00044059101,0.00016008157,0.000032644577,0.00003871566,0.0008040036,0.010734356],"genre_scores_gemma":[0.7391761,0.0011358821,0.25508952,0.00013148076,0.00010465578,0.000023655017,0.00004562229,0.000031378564,0.0042616692],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999201,0.000014117217,0.000003881157,0.000010547445,0.000045655237,0.0000055614846],"domain_scores_gemma":[0.999892,0.00005033068,0.000013832821,0.000010911733,0.000029692808,0.0000032001203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015156333,0.0001828151,0.00012904181,0.00020987309,0.00013968814,0.0002366303,0.0001659079,0.00024086551,0.0006329737],"category_scores_gemma":[0.00047541835,0.000082517225,0.00015718411,0.00016065977,0.00015869476,0.0003645447,0.00019989049,0.0002360676,0.00016708381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015995963,0.000068903755,0.0041011567,0.00025597482,0.00006187388,0.00022439781,0.00019167642,0.04621282,0.22342357,0.014282188,0.0018740508,0.70914346],"study_design_scores_gemma":[0.000031172483,0.0003364956,0.010224915,0.000054611413,0.00013865587,0.00057979074,0.000079715835,0.76193684,0.17518145,0.00905683,0.042333484,0.000046029676],"about_ca_topic_score_codex":0.00066766754,"about_ca_topic_score_gemma":0.0015044586,"teacher_disagreement_score":0.00066766754,"about_ca_system_score_codex":0.0001399612,"about_ca_system_score_gemma":0.0001614303,"threshold_uncertainty_score":0.0021175146},"labels":[],"label_agreement":null},{"id":"W158086270","doi":"","title":"HIV Prevalence: A Comparison between Canada, the United States, and Mexico.","year":2006,"lang":"en","type":"article","venue":"International MultiConference of Engineers and Computer Scientists","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human immunodeficiency virus (HIV); Environmental health; Medicine; Geography; Virology","score_opus":0.04461967448032798,"score_gpt":0.3584943036860028,"score_spread":0.3138746292056748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W158086270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949168,0.000814642,0.00003475136,0.00014695265,0.000011298717,0.000019653216,0.0024881065,0.000004795941,0.0015630799],"genre_scores_gemma":[0.9967452,0.00090703054,0.000085028114,0.000057842746,0.000008513306,0.000018788965,0.0016535167,0.0000034481538,0.0005204959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972314,0.000031611355,0.000015053681,0.000040821924,0.000065688415,0.00012377148],"domain_scores_gemma":[0.9994261,0.000056624223,0.00011964003,0.0000151637405,0.00020537361,0.00017704447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030690132,0.00026334476,0.00028718493,0.0022725328,0.0015517886,0.0009856161,0.00049829215,0.00060871756,0.002648738],"category_scores_gemma":[0.0012277471,0.00030213516,0.0004539324,0.003914617,0.00039690253,0.0004254776,0.0007216543,0.00057356356,0.000210614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029696064,0.00006835333,0.99364424,0.00003230745,0.00010455332,0.00012581027,0.0004940822,0.000090403235,0.0000889387,0.0001346077,0.0008595731,0.0040600486],"study_design_scores_gemma":[0.000017727993,0.000037513913,0.9971233,0.0000239943,0.000050435305,0.00009704985,0.001980224,0.00011298863,0.000036278925,0.000018031244,0.0004957415,0.0000066083135],"about_ca_topic_score_codex":0.92273825,"about_ca_topic_score_gemma":0.94022244,"teacher_disagreement_score":0.077261746,"about_ca_system_score_codex":0.004601908,"about_ca_system_score_gemma":0.00396854,"threshold_uncertainty_score":0.15543348},"labels":[],"label_agreement":null},{"id":"W30272830","doi":"10.1002/hbm.24339","title":"Image Metasearch Engine Based on Clustering and Genetic Algorithm.","year":2007,"lang":"en","type":"article","venue":"International MultiConference of Engineers and Computer Scientists","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health","keywords":"Metasearch engine; Cluster analysis; Computer science; Genetic algorithm; Search engine; Data mining; Artificial intelligence; Information retrieval; Algorithm; Machine learning; Web search query","score_opus":0.013732280739569735,"score_gpt":0.2706819992656982,"score_spread":0.25694971852612847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30272830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009183739,0.00090684823,0.95126987,0.00030678234,0.00018500788,0.00047791918,0.0016876828,0.02887272,0.007109345],"genre_scores_gemma":[0.058277167,0.00036867004,0.9300511,0.00018071044,0.000044140375,0.00067442673,0.0033950699,0.0013703005,0.0056383144],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942756,0.000110307104,0.000057149122,0.00019498986,0.00014422378,0.00006569423],"domain_scores_gemma":[0.99953663,0.00018937881,0.000039840794,0.0000748175,0.00013303818,0.000026261132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010442606,0.0014884645,0.0014521774,0.004337676,0.0008818493,0.0015582384,0.0024221474,0.0021557913,0.013780724],"category_scores_gemma":[0.0031175162,0.00068226096,0.0023696327,0.0033650084,0.00040774336,0.0014139466,0.0011886419,0.0013836984,0.005244297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039306638,0.00039413013,0.002757544,0.00072650734,0.0009919446,0.00024941872,0.00022493467,0.23675804,0.007879164,0.020010209,0.033146624,0.6964685],"study_design_scores_gemma":[0.00006081105,0.00005826414,0.00047084983,0.00003370157,0.000095839416,0.00010235499,0.000051339623,0.9732391,0.0030831858,0.011055685,0.011724477,0.00002447384],"about_ca_topic_score_codex":0.015387367,"about_ca_topic_score_gemma":0.020596173,"teacher_disagreement_score":0.015387367,"about_ca_system_score_codex":0.001234962,"about_ca_system_score_gemma":0.0019628662,"threshold_uncertainty_score":0.046101093},"labels":[],"label_agreement":null}]}