{"id":"W2337309527","doi":"","title":"スポーツ障害予防のためのメディカル チェック(整形外科的チェック).特集スポーツ障害ゼめくつて","year":2009,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001139517,0.0002591397,0.0001882497,0.000667029,0.001576009,0.004312216,0.000403061,0.001545899,0.0205143],"category_scores_gemma":[0.001580621,0.0001703017,0.0002372267,0.0005356204,0.004795085,0.002499608,0.001100831,0.001499308,0.006275074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167956,"about_ca_system_score_gemma":0.002681137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987697,"about_ca_topic_score_gemma":0.003027625,"domain_scores_codex":[0.9991611,0.0001822489,0.00004421117,0.0001463248,0.0003443965,0.0001217855],"domain_scores_gemma":[0.9992573,0.0001364245,0.000120804,0.00007286428,0.0002927078,0.0001199457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004054773,0.00005474145,0.001355077,0.0002456891,0.00002290766,0.0002444954,0.001735525,0.0002640668,0.003272406,0.8761779,0.02770911,0.08887748],"study_design_scores_gemma":[0.00001707459,0.0001108209,0.003010319,0.0002143954,0.00002519621,0.0007977845,0.002169078,0.0003378083,0.004547304,0.2260697,0.7626637,0.0000367814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02549845,0.01553822,0.01595669,0.04015148,0.003118659,0.0001007201,0.000173027,0.0001154929,0.8993473],"genre_scores_gemma":[0.6016396,0.01408511,0.01538404,0.007522682,0.001375337,0.0001232019,0.0001287838,0.00005586881,0.3596854],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0205143,"threshold_uncertainty_score":0.06862718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473548641461375,"score_gpt":0.2597194626877566,"score_spread":0.2449839762731428,"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."}}