{"meta":{"query_hash":"557f692eff18","filters":{"venue":"Proceedings of IEEE 5th International Fuzzy Systems"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/557f692eff18","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+IEEE+5th+International+Fuzzy+Systems"},"results":[{"id":"W1489195091","doi":"10.1109/fuzzy.1996.551751","title":"Fuzzy selection and blending of behaviors for situated autonomous agent","year":2002,"lang":"en","type":"article","venue":"Proceedings of IEEE 5th International Fuzzy Systems","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Situated; Architecture; Computer science; Mobile robot; Fuzzy logic; Field (mathematics); Agent architecture; Selection (genetic algorithm); Control (management); Introspection; Artificial intelligence; Robot; Intelligent agent; Action selection; Human–computer interaction; Autonomous agent; Perception","score_opus":0.02758374952098157,"score_gpt":0.25114001459421254,"score_spread":0.22355626507323095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489195091","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":[0.13642372,0.00014409606,0.85525525,0.00018606239,0.000022491995,0.000065182,0.00001375539,0.0003096916,0.0075797644],"genre_scores_gemma":[0.8368097,0.000075687596,0.16103482,0.00003527559,0.000009125267,0.00005750907,0.000021182934,0.000021575735,0.0019351924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997062,0.00007015447,0.000020776144,0.00005668613,0.000115706884,0.000030436204],"domain_scores_gemma":[0.99966466,0.00012448501,0.00004256299,0.00004927177,0.000064550084,0.000054428514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006318619,0.0002112727,0.00023760923,0.00034541538,0.00047634193,0.0005861463,0.00045925842,0.00042720852,0.001002489],"category_scores_gemma":[0.0016201315,0.00016269715,0.00038699346,0.0002001722,0.0010855963,0.0007066874,0.00060466444,0.00037104817,0.00015076983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004932882,0.0001742995,0.004226984,0.0001575138,0.0000949961,0.00089218497,0.0019153621,0.3364112,0.101192564,0.28868866,0.0010588394,0.2646941],"study_design_scores_gemma":[0.000046390236,0.00014269358,0.0010936295,0.000014788714,0.00003306996,0.00015822102,0.00012806912,0.90935344,0.009230822,0.0761664,0.003606414,0.00002604516],"about_ca_topic_score_codex":0.0023811099,"about_ca_topic_score_gemma":0.0028935103,"teacher_disagreement_score":0.0023811099,"about_ca_system_score_codex":0.0005421532,"about_ca_system_score_gemma":0.00047378274,"threshold_uncertainty_score":0.0047344565},"labels":[],"label_agreement":null},{"id":"W1922627420","doi":"10.1109/fuzzy.1996.552395","title":"Linguistic data mining and fuzzy modelling","year":2002,"lang":"en","type":"article","venue":"Proceedings of IEEE 5th International Fuzzy Systems","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Data mining; Fuzzy logic; Context (archaeology); Fuzzy set; Artificial intelligence; Geology","score_opus":0.09804922098477739,"score_gpt":0.27794669417744833,"score_spread":0.17989747319267094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922627420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009735089,0.047325805,0.85289407,0.014715206,0.001294172,0.00014602549,0.00047485184,0.00039771068,0.07301716],"genre_scores_gemma":[0.4579811,0.053019997,0.45093918,0.0052597295,0.0050197183,0.00074965466,0.0012215145,0.00017288144,0.025636284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732375,0.0012036279,0.0002478793,0.0003248576,0.0007866493,0.0001132081],"domain_scores_gemma":[0.99522394,0.0035430272,0.00038550133,0.00039892635,0.00034870167,0.0000999645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034113033,0.00067347387,0.0011005029,0.0040759984,0.0010588645,0.004209963,0.0011720719,0.0015893081,0.0042266515],"category_scores_gemma":[0.008059201,0.00033157342,0.00090732623,0.0047684084,0.0048428075,0.00471023,0.0018762184,0.0019347231,0.0009424058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019363088,0.000028940945,0.0003054464,0.00042927827,0.00003306222,0.00023379912,0.0005948201,0.0061868625,0.00026968896,0.93806523,0.0044874963,0.049345996],"study_design_scores_gemma":[0.000005660476,0.000023476212,0.00017394032,0.00019235948,0.000011741123,0.00019676928,0.00021489151,0.011892327,0.00023748267,0.94612944,0.040903706,0.00001818565],"about_ca_topic_score_codex":0.0017360481,"about_ca_topic_score_gemma":0.001331504,"teacher_disagreement_score":0.0042266515,"about_ca_system_score_codex":0.0020275512,"about_ca_system_score_gemma":0.0013054208,"threshold_uncertainty_score":0.018040955},"labels":[],"label_agreement":null},{"id":"W1948020936","doi":"10.1109/fuzzy.1996.551796","title":"MEDEX: a fuzzy system for forecasting Mediterranean gale force winds","year":2002,"lang":"en","type":"article","venue":"Proceedings of IEEE 5th International Fuzzy Systems","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Meteorology; Computer science; Fuzzy logic; Mediterranean climate; Software; Software package; Wind speed; Environmental science; Artificial intelligence; Geography; Programming language","score_opus":0.04030086300337004,"score_gpt":0.2382606862645815,"score_spread":0.19795982326121145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948020936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048301302,0.00054609927,0.92598987,0.0001997928,0.0002070246,0.00027951188,0.0018158748,0.017553288,0.0051072533],"genre_scores_gemma":[0.5656579,0.00028760437,0.42439395,0.00020842487,0.00008230814,0.00037929724,0.0018576325,0.00015868836,0.0069741956],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996816,0.000062791565,0.00003655342,0.000095921925,0.00010053221,0.000022551307],"domain_scores_gemma":[0.9996177,0.00013512203,0.00003830316,0.000037393325,0.00014970571,0.00002180505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087188976,0.00066541403,0.0007406309,0.0008365099,0.00046731957,0.00080397906,0.0009245679,0.00072915305,0.004892207],"category_scores_gemma":[0.0017633085,0.00023458876,0.00034136337,0.0003710735,0.00024761102,0.0006557988,0.0004559739,0.000589103,0.0012234697],"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":[0.0020416696,0.00019275476,0.006410577,0.0004926603,0.00017486782,0.0004215229,0.00028403997,0.27431718,0.030123629,0.006253377,0.016919328,0.6623685],"study_design_scores_gemma":[0.00013989714,0.0001757822,0.0019254389,0.000046007393,0.000061362174,0.0001143409,0.000034611487,0.9642742,0.014958746,0.0022471643,0.015976254,0.000046166544],"about_ca_topic_score_codex":0.007971341,"about_ca_topic_score_gemma":0.006006567,"teacher_disagreement_score":0.007971341,"about_ca_system_score_codex":0.00061927,"about_ca_system_score_gemma":0.00050603796,"threshold_uncertainty_score":0.016366065},"labels":[],"label_agreement":null}]}