{"id":"W2596730456","doi":"","title":"統合失調症治療における副作用の軽減；抗精神病薬による体重増加，糖・脂質代謝異常などを捉えて","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001134343,0.0002618184,0.0002277762,0.0007381031,0.001783308,0.00212355,0.0003730504,0.0007717072,0.009910689],"category_scores_gemma":[0.002091378,0.0002718507,0.0002988093,0.0003880271,0.003143093,0.00142697,0.0005313081,0.001026313,0.003099544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195391,"about_ca_system_score_gemma":0.001844065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385816,"about_ca_topic_score_gemma":0.002735952,"domain_scores_codex":[0.9990404,0.0001366667,0.00005736841,0.0001865682,0.0004657805,0.0001130891],"domain_scores_gemma":[0.998091,0.0006164299,0.0002385573,0.000187264,0.0006853857,0.0001813729],"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":[0.0003663697,0.0003625057,0.01653551,0.0006795482,0.0001582874,0.001829955,0.006421356,0.002484575,0.1233944,0.5443279,0.01631623,0.2871233],"study_design_scores_gemma":[0.00007603789,0.0007167972,0.05004265,0.0002456409,0.0002601645,0.004013566,0.01015773,0.00350186,0.2657084,0.2735041,0.3915612,0.0002117971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2881699,0.005620402,0.04398379,0.006288819,0.0009177466,0.000200208,0.0003254459,0.0002395278,0.6542541],"genre_scores_gemma":[0.8893672,0.002553309,0.02121217,0.001186701,0.0003831657,0.00009799892,0.0001919672,0.00005604457,0.08495147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009910689,"threshold_uncertainty_score":0.03315461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242620742157547,"score_gpt":0.2551619172801331,"score_spread":0.2427357098585576,"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."}}