{"id":"W3163528581","doi":"","title":"エビデンスに基づいた漢方医療;各種疾患に対しての処方(2)腰部脊柱管狭窄症に対する八味地黄丸の効果","year":2007,"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":"Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00133865,0.0005352907,0.0005392779,0.0003644261,0.0002262697,0.0000315605,0.0007756556,0.0006607776,0.005384143],"category_scores_gemma":[0.0001732837,0.0005559325,0.0001942017,0.0006040845,0.0004947023,0.0002867859,0.0001298004,0.001527337,0.001670788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298334,"about_ca_system_score_gemma":0.00009173113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000727011,"about_ca_topic_score_gemma":0.00007540062,"domain_scores_codex":[0.9967455,0.00005581791,0.0007886336,0.0005347145,0.0005646377,0.001310753],"domain_scores_gemma":[0.9983643,0.0003026223,0.00008526849,0.000669519,0.00006896694,0.0005093066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006367075,0.001136461,0.00520769,0.002841211,0.002894393,0.006901284,0.0134583,0.0007909707,0.03554441,0.1629335,0.3623288,0.4053263],"study_design_scores_gemma":[0.005388751,0.0004878435,0.007602225,0.0006532936,0.000669762,0.0005781291,0.005913836,0.01145357,0.03918827,0.01886927,0.906418,0.002777076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1823764,0.05140083,0.00978295,0.004645079,0.009468326,0.0007488282,0.00009414981,0.003084404,0.7383991],"genre_scores_gemma":[0.9918548,0.003749931,0.00101187,0.0005933216,0.001182387,0.00001669966,0.00003261634,0.00008538156,0.001472933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8094785,"threshold_uncertainty_score":0.9996892,"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."}}