{"id":"W2595744714","doi":"","title":"社会復帰を志向した統合失調症治療が可能な時代へ；定型抗精神病薬を中心とした多剤併用・大量療法から非定型抗精神病薬による単剤療法へ","year":2005,"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":[0.0006605878,0.0007342387,0.0007315855,0.0003662176,0.0002927605,0.00005904461,0.001081419,0.0007409647,0.01369451],"category_scores_gemma":[0.0001617929,0.0007642907,0.0002792246,0.0005677991,0.0005527447,0.0005839369,0.0001842556,0.001777444,0.005585882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128557,"about_ca_system_score_gemma":0.0001495309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004694544,"about_ca_topic_score_gemma":0.00006197589,"domain_scores_codex":[0.9962213,0.0001193,0.0009243506,0.0007243729,0.0006662684,0.001344385],"domain_scores_gemma":[0.9981171,0.0002139995,0.0001090886,0.0009165413,0.00008104733,0.0005621779],"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":[0.0002160301,0.000933582,0.0008890975,0.001255061,0.001835671,0.0008034891,0.008361451,0.004616682,0.01217971,0.05619476,0.5041238,0.4085906],"study_design_scores_gemma":[0.002630202,0.0001797665,0.0005877942,0.00027154,0.0003375945,0.0002264574,0.0009914752,0.03656884,0.008299802,0.003333914,0.9452346,0.001338004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1370292,0.08826388,0.001910478,0.02170062,0.006670609,0.001140934,0.0002232143,0.004572226,0.7384889],"genre_scores_gemma":[0.9823534,0.008569705,0.002016906,0.001025305,0.002472772,0.00007674787,0.0000511264,0.0001234937,0.003310521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8453242,"threshold_uncertainty_score":0.9994808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511952508600746,"score_gpt":0.2586597855071774,"score_spread":0.2435402604211699,"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."}}