{"id":"W6988629114","doi":"","title":"膝痛のある高齢女性における身体機能低下者スクリーニング方法の提案 : 大腿骨内側顆間距離による推定","year":2008,"lang":"en","type":"other","venue":"Niigata University Institutional Repository (NIRR)","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Knee pain; Cutoff; Elderly people; Physical activity; Femur","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":[0.001549147,0.000286034,0.0003681289,0.00108669,0.0007319329,0.0009895038,0.0003735774,0.000562619,0.005814031],"category_scores_gemma":[0.002299054,0.0002443192,0.0002400604,0.000626418,0.00204512,0.000650976,0.0003787007,0.0004412456,0.001629995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006850871,"about_ca_system_score_gemma":0.000695836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188964,"about_ca_topic_score_gemma":0.003434779,"domain_scores_codex":[0.9990574,0.0001609727,0.000130861,0.0001999587,0.0003241993,0.0001266256],"domain_scores_gemma":[0.9977626,0.0005414003,0.0009679992,0.00009033998,0.0004354121,0.0002022563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001986717,0.0006188807,0.6276866,0.00131106,0.0002425098,0.01038121,0.002225659,0.0005473753,0.08209853,0.006401607,0.004428177,0.2620717],"study_design_scores_gemma":[0.0001066672,0.00189695,0.8629248,0.0005494991,0.0002098152,0.04843974,0.002781215,0.0008581519,0.03387998,0.00794802,0.04029172,0.0001134882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376487,0.03484723,0.004532635,0.001198145,0.0001272069,0.0001547055,0.0004372728,0.00004650492,0.0210076],"genre_scores_gemma":[0.9863224,0.005522767,0.00436245,0.0002489677,0.0001586466,0.00005723626,0.000209147,0.000007976135,0.003110422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005814031,"threshold_uncertainty_score":0.01944995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151000343925083,"score_gpt":0.2016786012504174,"score_spread":0.1901685978111665,"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."}}