{"id":"W16341311","doi":"10.1155/2005/147681","title":"939 人工膝関節置換術後のextension lagに対する筋電図学的検討(骨・関節系理学療法39)","year":2004,"lang":"en","type":"article","venue":"理学療法学","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Extension (predicate logic); Lag; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00058585,0.0004017042,0.0003519484,0.0004964309,0.0003919684,0.0008977512,0.0002674369,0.0005310539,0.02837651],"category_scores_gemma":[0.001021384,0.0002075318,0.0003695204,0.0003338435,0.0005844758,0.0004868541,0.0003316186,0.0006299285,0.01799621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093801,"about_ca_system_score_gemma":0.0003588252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206698,"about_ca_topic_score_gemma":0.002672626,"domain_scores_codex":[0.999689,0.0000482344,0.00002543714,0.0000550602,0.0001174031,0.00006494715],"domain_scores_gemma":[0.9995129,0.0001013256,0.00008089038,0.00006005189,0.0001512614,0.00009355596],"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":[0.003455629,0.0007418369,0.1399435,0.0005439981,0.0001641385,0.005313979,0.0003796729,0.0005781198,0.2614933,0.005968702,0.03038983,0.5510273],"study_design_scores_gemma":[0.0004042915,0.004840418,0.307465,0.0005592962,0.0003636542,0.03492158,0.001081359,0.003110769,0.370517,0.008224523,0.2683071,0.0002049982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6702114,0.02621626,0.03673702,0.004714689,0.002896575,0.0004871666,0.0025398,0.001090362,0.2551067],"genre_scores_gemma":[0.8718473,0.007142887,0.01879957,0.001532117,0.0006081725,0.0001389699,0.001745992,0.0001052864,0.09807968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02837651,"threshold_uncertainty_score":0.09492892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005095000083435304,"score_gpt":0.2215007248683853,"score_spread":0.21640572478495,"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."}}