{"id":"W2611078233","doi":"","title":"アルツハイマー病の新たな展開 新しいバイオマーカー;アルカデイン","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":[0.000472596,0.0003950362,0.0003984532,0.0001934535,0.00018218,0.00003229563,0.0007420901,0.000638338,0.01365452],"category_scores_gemma":[0.000206603,0.0003962392,0.0001403152,0.0002570036,0.0005008759,0.0002450892,0.0001126669,0.002532141,0.001890475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000259112,"about_ca_system_score_gemma":0.00009487406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005288865,"about_ca_topic_score_gemma":0.00005718221,"domain_scores_codex":[0.997969,0.00004215513,0.0004566509,0.0004154011,0.0003651858,0.0007515523],"domain_scores_gemma":[0.9987207,0.0001514333,0.0000531671,0.0006718369,0.00004951013,0.0003533597],"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":[0.0001487399,0.0006649264,0.002276079,0.001515018,0.001445139,0.001450117,0.00668318,0.0002498946,0.2805229,0.1781362,0.3532105,0.1736974],"study_design_scores_gemma":[0.002892035,0.0001915198,0.001982257,0.0001746358,0.0003595054,0.0003765342,0.001032123,0.02505171,0.03249579,0.02352121,0.910393,0.001529685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5367968,0.009206299,0.0003756264,0.005290248,0.01382357,0.0004225535,0.00009351128,0.002022366,0.431969],"genre_scores_gemma":[0.9946218,0.001721297,0.0009030425,0.0003029212,0.001159846,0.00003647494,0.00002535159,0.00006013397,0.001169204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5571825,"threshold_uncertainty_score":0.999849,"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."}}