{"id":"W2626250353","doi":"","title":"テルミサルタン（ミカルディスR）の製造販売後調査；長期使用に関する特定使用成績調査（中間報告）","year":2006,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009585429,0.0002222784,0.000213395,0.0005796018,0.001803589,0.002252901,0.0003284236,0.0007552876,0.01247724],"category_scores_gemma":[0.001906323,0.0002092277,0.0002402637,0.000317166,0.003368571,0.001470178,0.000592682,0.001058146,0.003895398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465633,"about_ca_system_score_gemma":0.002099236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00435515,"about_ca_topic_score_gemma":0.003038825,"domain_scores_codex":[0.9993526,0.00008759689,0.00003223192,0.0001403393,0.0003065645,0.00008060713],"domain_scores_gemma":[0.9986541,0.00035972,0.000142523,0.0001337823,0.0005440885,0.0001658353],"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":[0.0002642267,0.0002421046,0.01059222,0.0004135628,0.0000826863,0.0008381802,0.004997412,0.001560862,0.05808724,0.648487,0.01889506,0.2555395],"study_design_scores_gemma":[0.00006384654,0.0005702465,0.02977185,0.0002090415,0.0001585123,0.002181083,0.007529458,0.002563582,0.1435487,0.2865323,0.5267243,0.0001470113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1921157,0.005982069,0.03885848,0.009974116,0.001364933,0.0001566799,0.0002965123,0.0002474156,0.7510042],"genre_scores_gemma":[0.8292946,0.003207105,0.01634033,0.001806662,0.0005845186,0.00007783765,0.000146613,0.00006564771,0.1484767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01247724,"threshold_uncertainty_score":0.04174054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}