{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003984261,0.0001633681,0.00009803488,0.0007140301,0.00565714,0.00220691,0.0004200918,0.0003698078,0.02581418],"category_scores_gemma":[0.0006272768,0.000173948,0.00008180778,0.002219646,0.002018357,0.0007397149,0.001262489,0.0003512557,0.002201473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221443,"about_ca_system_score_gemma":0.004018314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08232092,"about_ca_topic_score_gemma":0.2110012,"domain_scores_codex":[0.9996692,0.00006268489,0.00002773541,0.00006109013,0.00008845502,0.0000908413],"domain_scores_gemma":[0.9993091,0.0001327348,0.0001825945,0.00007119012,0.0001802539,0.0001241754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003069727,0.000325031,0.2764327,0.003607053,0.00004688364,0.004930716,0.2590736,0.0005586881,0.02583045,0.03600411,0.07873335,0.3141505],"study_design_scores_gemma":[0.000006695668,0.00007489191,0.4745852,0.0002313192,0.0000110196,0.0004951103,0.2022177,0.0001041483,0.002221716,0.0006863966,0.3193292,0.00003657278],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440528,0.002595647,0.001547394,0.003000735,0.0001580634,0.0003188951,0.002234334,0.00008505829,0.2460071],"genre_scores_gemma":[0.9174576,0.002345719,0.00182947,0.000342898,0.00003602985,0.0002791098,0.000924304,0.00002024852,0.07676464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08232092,"threshold_uncertainty_score":0.1636835,"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."}}