{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002006491,0.0007172617,0.0004530525,0.002350171,0.0005664582,0.001565647,0.0004903164,0.0003744173,0.00641196],"category_scores_gemma":[0.005008478,0.0002815408,0.0008341665,0.002692998,0.0003368532,0.001205229,0.0006291955,0.0005941302,0.002349758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008966762,"about_ca_system_score_gemma":0.001404856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00972651,"about_ca_topic_score_gemma":0.0154975,"domain_scores_codex":[0.9975256,0.0003158872,0.0003024829,0.0004346195,0.001190115,0.0002311925],"domain_scores_gemma":[0.9953362,0.0008491861,0.001002524,0.0002619057,0.002244579,0.0003056751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006001462,0.0006057179,0.8502328,0.0004253315,0.0002350502,0.0001678635,0.001253275,0.005163635,0.00485262,0.001416328,0.004740221,0.1303071],"study_design_scores_gemma":[0.00002989674,0.001255763,0.9576442,0.0001135581,0.0001458193,0.0003563275,0.004442974,0.02167382,0.005576409,0.001192259,0.007493591,0.000075361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511378,0.0003350934,0.02522666,0.0004183986,0.0001057341,0.0005426009,0.005045587,0.0002036884,0.01698443],"genre_scores_gemma":[0.9667105,0.0003731279,0.01489649,0.00008092155,0.00002653092,0.0004080163,0.005291485,0.00004125539,0.01217168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00972651,"threshold_uncertainty_score":0.02145016,"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."}}