{"id":"W2598338183","doi":"","title":"Featuring ISC 2010：日米におけるTIA治療をめぐるガイドラインの動き","year":2010,"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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004790789,0.0004488805,0.000430939,0.0002282431,0.0002321646,0.00004719313,0.0007800544,0.0007013076,0.008942706],"category_scores_gemma":[0.0002067767,0.0004511373,0.0001359728,0.0003571199,0.0004297738,0.0003391188,0.0001477136,0.003186911,0.001469542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003082989,"about_ca_system_score_gemma":0.00009806704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000765448,"about_ca_topic_score_gemma":0.0001093006,"domain_scores_codex":[0.9978077,0.00004124784,0.0004501492,0.0004700621,0.0003784781,0.0008523792],"domain_scores_gemma":[0.9986502,0.0001381506,0.00006176527,0.0007197916,0.00006173214,0.0003683851],"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":[0.0001900553,0.0005724057,0.003685609,0.001854646,0.00163618,0.001719077,0.007615652,0.0004385005,0.3542079,0.03570648,0.4658109,0.1265626],"study_design_scores_gemma":[0.005991505,0.0003233141,0.01618362,0.0005144879,0.0007755347,0.001005916,0.002251786,0.03658472,0.08777364,0.01170937,0.8336116,0.003274465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6647503,0.02100222,0.0004162989,0.008610379,0.02760112,0.0006130121,0.00009701999,0.00267693,0.2742327],"genre_scores_gemma":[0.9921188,0.002402944,0.00109838,0.0001871924,0.001366189,0.00003448634,0.00002378367,0.00007420919,0.00269403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3678008,"threshold_uncertainty_score":0.9997941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243529612278393,"score_gpt":0.2485204713000077,"score_spread":0.2360851751772237,"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."}}