{"id":"W2754746051","doi":"","title":"治療（薬物療法，非薬物療法）：ACOの治療について","year":2017,"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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004468747,0.0003888094,0.0004492549,0.0001248815,0.0007563871,0.0001072876,0.001500593,0.0004568686,0.005198537],"category_scores_gemma":[0.0003247072,0.0003918071,0.0001507663,0.0000731134,0.0007223013,0.0004518073,0.0002500417,0.001108014,0.001637388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005370182,"about_ca_system_score_gemma":0.00008182196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001182195,"about_ca_topic_score_gemma":0.00003638087,"domain_scores_codex":[0.9980221,0.00004490596,0.0004150945,0.0004249684,0.0003567417,0.0007362392],"domain_scores_gemma":[0.9980903,0.00008775946,0.0001204206,0.001352869,0.00004434267,0.0003042674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000269352,0.0006504653,0.007519506,0.002681265,0.00284717,0.003839422,0.007392673,0.000438012,0.01822297,0.09603529,0.5441998,0.3159041],"study_design_scores_gemma":[0.007252026,0.0004090235,0.02252774,0.001063031,0.0008502782,0.0003278017,0.002199554,0.04882886,0.01831062,0.04028791,0.8551154,0.002827748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1608903,0.02502174,0.0006272434,0.0133442,0.009731291,0.0005116622,0.0001257175,0.001490845,0.788257],"genre_scores_gemma":[0.9910232,0.005278858,0.0003466741,0.0002007979,0.0009351353,0.0000330415,0.00001439844,0.00005381669,0.002114094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8301329,"threshold_uncertainty_score":0.9998534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334972696579024,"score_gpt":0.2833968106930204,"score_spread":0.2600470837272301,"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."}}