{"id":"W955887500","doi":"","title":"BECCTへのクロバザム(マイスタン)単剤投与","year":2004,"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":[0.0002745162,0.0003564116,0.0003710648,0.0001681981,0.0001589874,0.00002180285,0.0005340946,0.0004085674,0.003263141],"category_scores_gemma":[0.00007260455,0.0003652665,0.0001302556,0.0003240383,0.0003519654,0.0002245787,0.00008570447,0.001039101,0.001685461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215562,"about_ca_system_score_gemma":0.0001292731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001097419,"about_ca_topic_score_gemma":0.00002818791,"domain_scores_codex":[0.9981508,0.00003227387,0.0004227647,0.0003665377,0.0003404615,0.0006871404],"domain_scores_gemma":[0.9991257,0.00006351999,0.00004292066,0.0004595085,0.00003347298,0.0002749122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004272824,0.002265873,0.001940814,0.004918511,0.004969405,0.007824035,0.03216544,0.04660587,0.04529959,0.4322852,0.2534757,0.1678224],"study_design_scores_gemma":[0.02115528,0.001207728,0.003963921,0.002101613,0.001389283,0.001164131,0.007817522,0.01708107,0.07506216,0.2390065,0.6249685,0.0050823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3571448,0.08791593,0.007404567,0.02505435,0.01036815,0.001004263,0.0001788439,0.004599248,0.5063298],"genre_scores_gemma":[0.9930127,0.004585147,0.0008448537,0.0004901204,0.0005623802,0.00002969104,0.00002241208,0.00005086563,0.0004018038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.635868,"threshold_uncertainty_score":0.99988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527878322554912,"score_gpt":0.2551225401151264,"score_spread":0.2398437568895773,"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."}}