{"id":"W3092192315","doi":"","title":"股関節または膝関節の変形性関節症患者を対象としたオランダのマックマスター・トロント関節炎患者選択質問票(MACTAR)の妥当性と回答状況 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター","year":2012,"lang":"ja","type":"article","venue":"The Journal of Rheumatology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","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":[0.001365311,0.0002948227,0.0002773368,0.0008673448,0.0009725305,0.002166049,0.0003257664,0.0007035114,0.01281951],"category_scores_gemma":[0.002386746,0.0001702369,0.0003161869,0.0004722657,0.001753128,0.00106745,0.0005066273,0.001040966,0.003296237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043646,"about_ca_system_score_gemma":0.001367685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00241347,"about_ca_topic_score_gemma":0.003445163,"domain_scores_codex":[0.9992201,0.0001738766,0.0000787633,0.0001225191,0.0003109444,0.00009385432],"domain_scores_gemma":[0.9989136,0.0003036856,0.0001958346,0.00006517782,0.0003870304,0.0001346471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008894434,0.0006680142,0.0403211,0.0009115172,0.0001957279,0.001973427,0.005285988,0.001120305,0.04910477,0.1555558,0.03123717,0.7127368],"study_design_scores_gemma":[0.0003556513,0.002438932,0.1200746,0.0008708702,0.0005662965,0.008995065,0.01296138,0.002391682,0.07383327,0.1541353,0.6231482,0.000228609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3428619,0.02687,0.03079005,0.02381936,0.003402415,0.0004325002,0.000507295,0.000332293,0.5709841],"genre_scores_gemma":[0.888617,0.006234956,0.02061379,0.003004074,0.001521111,0.0001550075,0.0001538561,0.0000470387,0.07965332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281951,"threshold_uncertainty_score":0.04288548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056992978892542,"score_gpt":0.2315606687515693,"score_spread":0.2209907389626439,"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."}}