{"id":"W3185508317","doi":"","title":"腰痛;病因・病態からの整理とその治療 腰痛のアウトカム研究","year":2007,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":3,"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":[0.001312381,0.0002724251,0.0001764397,0.0006718222,0.00134608,0.004676062,0.0003901858,0.001059068,0.01319479],"category_scores_gemma":[0.001867566,0.0001698628,0.0001376279,0.0005741691,0.004438914,0.00252117,0.0007328912,0.001015824,0.002520481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002778448,"about_ca_system_score_gemma":0.002664845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002715035,"about_ca_topic_score_gemma":0.002052,"domain_scores_codex":[0.9993122,0.0001724395,0.00002505712,0.00008888174,0.0003334075,0.0000680537],"domain_scores_gemma":[0.9990739,0.0002630587,0.000141757,0.00006937337,0.0003247109,0.0001272372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001560519,0.00002989803,0.0004716938,0.00008576119,0.000008791239,0.00006334341,0.0009188566,0.0003671819,0.0009936914,0.9423627,0.01028032,0.04440224],"study_design_scores_gemma":[0.00001395479,0.00006398839,0.00201215,0.0001288161,0.00001969255,0.0002378608,0.002240174,0.0007525487,0.003099243,0.5539287,0.4374792,0.00002364662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03207522,0.007953095,0.02272249,0.03899376,0.001476892,0.00007594695,0.0001202896,0.00009553038,0.8964867],"genre_scores_gemma":[0.7463135,0.006670129,0.01250489,0.003412862,0.0009414353,0.00009970816,0.00005661588,0.00003714511,0.2299638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01319479,"threshold_uncertainty_score":0.04414099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}