{"id":"W2749828247","doi":"","title":"なぜ，早期発見が必要か？早期介入は何を目指すか？","year":2010,"lang":"zh","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":[0.0004268537,0.0003508854,0.000361266,0.0001691214,0.0001663631,0.00002630026,0.0006402875,0.0005577683,0.01134295],"category_scores_gemma":[0.0001832283,0.0003517558,0.0001265787,0.0002678561,0.0004526674,0.0002040787,0.00009859797,0.002303093,0.001536451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002220496,"about_ca_system_score_gemma":0.00009751745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000536909,"about_ca_topic_score_gemma":0.00007776402,"domain_scores_codex":[0.9981772,0.0000377229,0.0004103272,0.0003685937,0.0003244394,0.0006817671],"domain_scores_gemma":[0.9988672,0.0001342358,0.00004668353,0.0005929824,0.00004125705,0.0003176551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007139077,0.0002993078,0.001804419,0.000662255,0.0006737142,0.0007001893,0.002387088,0.0001014131,0.06406812,0.6806083,0.1099738,0.1386501],"study_design_scores_gemma":[0.004741841,0.0002835033,0.004541307,0.0002532707,0.0005421845,0.0005722616,0.001400335,0.03097733,0.01284024,0.2153719,0.7262034,0.002272403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1028037,0.00678436,0.0005481385,0.004442992,0.01003691,0.0003077991,0.00006671264,0.001478464,0.8735309],"genre_scores_gemma":[0.995055,0.001770876,0.0007594286,0.0002527892,0.001039516,0.00003292758,0.00002175621,0.00005296264,0.001014802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8922513,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266837405253904,"score_gpt":0.2572622289790938,"score_spread":0.2445938549265547,"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."}}