{"id":"W3193905161","doi":"","title":"한국 프로농구경기 각 쿼터 별 득점 분포에 따른 승ㆍ패 영향력 분석","year":2012,"lang":"ko","type":"article","venue":"한국스포츠학회지","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Basketball; Decision tree; Cart; Mathematics; Statistics; League; Computer science; Artificial intelligence; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009270905,0.0004608127,0.0007312807,0.000194946,0.0004337682,0.00005247497,0.000269483,0.0003352982,0.003315109],"category_scores_gemma":[0.0004534172,0.0004086278,0.0002480013,0.0004528427,0.0003268462,0.0003501288,0.0002574658,0.0006136138,0.00836014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209786,"about_ca_system_score_gemma":0.0003713674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007001355,"about_ca_topic_score_gemma":0.00001532837,"domain_scores_codex":[0.9966524,0.0001688991,0.0006638839,0.0005115794,0.000648911,0.001354331],"domain_scores_gemma":[0.99749,0.000327428,0.000236432,0.0008692637,0.000286151,0.0007907145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001271564,0.001240821,0.6893776,0.0009366743,0.0005991517,0.00002693046,0.03112724,7.918321e-7,0.00005288937,0.007930825,0.2163335,0.05224642],"study_design_scores_gemma":[0.001208503,0.0002986063,0.3374183,0.0004058881,0.0007038545,0.00006939848,0.03222107,0.00002188507,0.000363434,0.0002324278,0.6264491,0.0006075129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373006,0.0403106,0.0001012279,0.01984557,0.01926849,0.001444936,0.0001002228,0.0003208887,0.1813075],"genre_scores_gemma":[0.9583696,0.003569242,0.0007090704,0.004554646,0.007059014,0.00009395204,0.00007048948,0.00006789891,0.02550615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4101157,"threshold_uncertainty_score":0.9998366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1809729145216852,"score_gpt":0.3951625774975334,"score_spread":0.2141896629758482,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}