{"id":"W2602059436","doi":"","title":"生活習慣病と心血管疾患；糖・脂質の流れの正常化を目指して","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":"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":[0.0002315865,0.0003660317,0.0004160453,0.0001791894,0.000275896,0.000009288694,0.000545678,0.0003947611,0.005820254],"category_scores_gemma":[0.00009553152,0.0003751156,0.0001411856,0.0003423702,0.0005621775,0.0002156128,0.00008626083,0.001015662,0.002065154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006149819,"about_ca_system_score_gemma":0.0001020442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005045879,"about_ca_topic_score_gemma":0.00000635364,"domain_scores_codex":[0.9980372,0.0000576316,0.0004494853,0.0003749531,0.0003854467,0.0006952555],"domain_scores_gemma":[0.9990277,0.0001092382,0.00004558708,0.0004892614,0.00004058385,0.0002876773],"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":[0.0001953499,0.0007357299,0.004630083,0.00139039,0.001813744,0.00825188,0.01578873,0.0009315747,0.01571512,0.03380416,0.8565739,0.06016933],"study_design_scores_gemma":[0.007973906,0.0006509619,0.01486195,0.0006074372,0.0006160574,0.004437554,0.003046913,0.06297355,0.0226553,0.0138806,0.8647602,0.003535601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4450504,0.05451042,0.0009719655,0.003474843,0.005256166,0.0004507595,0.00008477359,0.00248906,0.4877116],"genre_scores_gemma":[0.9819511,0.014208,0.0005420254,0.0003250231,0.0006183215,0.00002962917,0.00002049042,0.00005440108,0.002250979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5369008,"threshold_uncertainty_score":0.9998701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199174474513095,"score_gpt":0.2525828626005497,"score_spread":0.2305911178554187,"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."}}