{"id":"W7144778122","doi":"","title":"北海道北見市におけるカーリングの現段階 ～資料調査とカーリング関係者へのインタビュー調査を中心に～","year":2025,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curling; Grassroots; Population; Sinkhole; State (computer science); Quarter (Canadian coin)","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006655393,0.0008302144,0.000993695,0.0005215034,0.001577041,0.0003835807,0.0007694405,0.0004494549,0.001051617],"category_scores_gemma":[0.0006491967,0.0007888075,0.0004224665,0.001223487,0.00144416,0.001353756,0.0007799312,0.001220238,0.0006847536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008869442,"about_ca_system_score_gemma":0.003404353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388778,"about_ca_topic_score_gemma":0.0001333684,"domain_scores_codex":[0.9947062,0.00008986917,0.001590274,0.001284946,0.001264127,0.001064582],"domain_scores_gemma":[0.9960503,0.0002150786,0.0004006474,0.002057568,0.0007794459,0.0004969749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005121278,0.002388878,0.09401081,0.004738877,0.002676347,0.005882436,0.001497397,0.0002904179,0.009068296,0.335245,0.5261405,0.01293971],"study_design_scores_gemma":[0.002157345,0.0002916275,0.01897158,0.004843445,0.0007037923,0.0005796556,0.0004157518,0.0006055146,0.01064149,0.0001671521,0.9598827,0.0007399749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3174216,0.04217856,0.01207167,0.0145502,0.1143401,0.003111413,0.006173245,0.001048975,0.4891042],"genre_scores_gemma":[0.9119843,0.002130681,0.002101487,0.003049338,0.008190318,0.000122291,0.002402928,0.00006460719,0.06995407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5945626,"threshold_uncertainty_score":0.9998615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158990222309804,"score_gpt":0.2900604170758374,"score_spread":0.2784705148527394,"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."}}