{"id":"W2793051768","doi":"","title":"LDL-C＜70㎎／dL時代のLDL-C低下療法を考える","year":2018,"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":"Ldl cholesterol; Chemistry; Cholesterol; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009653749,0.0003942733,0.0003252271,0.0006391482,0.0005320315,0.001315343,0.0002313485,0.0003769461,0.005067907],"category_scores_gemma":[0.0009865081,0.0002195645,0.0003865493,0.0002963468,0.000443348,0.0003888434,0.0002768697,0.0007801686,0.002420907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008459509,"about_ca_system_score_gemma":0.0010196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005834496,"about_ca_topic_score_gemma":0.006109928,"domain_scores_codex":[0.9995471,0.00005737725,0.00005857536,0.00006788655,0.0002044941,0.00006454298],"domain_scores_gemma":[0.9994146,0.00008010358,0.00009830485,0.00005148372,0.0002835291,0.00007207276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004115155,0.0009056025,0.1319429,0.001201818,0.0005322803,0.00213108,0.0009362117,0.0007348165,0.4048509,0.01171852,0.0134682,0.4274626],"study_design_scores_gemma":[0.0003201881,0.002428214,0.193073,0.0002541028,0.0007584897,0.004940473,0.001586068,0.00201962,0.6221892,0.01166746,0.1605867,0.0001764929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7733963,0.02604966,0.04347238,0.007273447,0.002875712,0.0006704292,0.002343171,0.0006673682,0.1432516],"genre_scores_gemma":[0.912742,0.007602226,0.01981097,0.002963971,0.0008907283,0.0001826317,0.001056503,0.00007982666,0.05467122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005834496,"threshold_uncertainty_score":0.01695389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834267403259877,"score_gpt":0.2680950876845187,"score_spread":0.2497524136519199,"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."}}