{"id":"W2229245448","doi":"","title":"急性冠症候群（ACS）を未然に防ぐための脂質管理—量から質への転換；LDL-C/ HDL-C比が意味するもの—","year":2008,"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":"Internal medicine; Medicine","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":[0.0004737889,0.0007066332,0.0007855603,0.000350453,0.0005060189,0.0000258757,0.0009807155,0.000727359,0.006975127],"category_scores_gemma":[0.0002126495,0.0007332226,0.0002521934,0.0006345867,0.0009844556,0.0004073644,0.000189568,0.001785168,0.002622272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363415,"about_ca_system_score_gemma":0.0002232076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001815833,"about_ca_topic_score_gemma":0.00004093944,"domain_scores_codex":[0.9963011,0.0001294899,0.0008601833,0.0007193067,0.0007199974,0.001269937],"domain_scores_gemma":[0.9981401,0.0002311691,0.0001096554,0.0009065075,0.0000924229,0.0005201219],"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":[0.0004090895,0.001291847,0.0042145,0.002256204,0.00304821,0.00981418,0.01996512,0.001758451,0.0183342,0.01976378,0.8078004,0.1113441],"study_design_scores_gemma":[0.007704161,0.0007047604,0.007335467,0.000692611,0.0007383987,0.002822376,0.003130693,0.02728465,0.02599094,0.008523783,0.9115297,0.00354243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5600486,0.06195945,0.00131835,0.005856813,0.007401875,0.0009322479,0.000218605,0.003592366,0.3586716],"genre_scores_gemma":[0.9764228,0.01801052,0.0008310178,0.0005596958,0.00109863,0.00006560451,0.00006517823,0.0001097107,0.002836772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4163742,"threshold_uncertainty_score":0.9995119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251349006744303,"score_gpt":0.2532461119514458,"score_spread":0.2307326218840028,"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."}}