{"id":"W2763504758","doi":"10.24870/cjb.2017-a16","title":"Drug targets and lipid biomarkers of hyperlipidemia associated diseases","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperlipidemia; Drug; Medicine; Pharmacology; Diabetes mellitus; Endocrinology","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":[0.0005563616,0.0004733079,0.0008108364,0.001644532,0.0001956221,0.0008893136,0.0002628461,0.0004428284,0.003218997],"category_scores_gemma":[0.0007571667,0.0001715308,0.0007644005,0.001826425,0.0001505419,0.0003740266,0.000353156,0.0005828483,0.0008410629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006016945,"about_ca_system_score_gemma":0.0004561431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006094199,"about_ca_topic_score_gemma":0.001098372,"domain_scores_codex":[0.9997198,0.00007021922,0.00002705866,0.00006161825,0.00009054784,0.00003077338],"domain_scores_gemma":[0.9997018,0.00006477992,0.0001078624,0.00001924051,0.00007685531,0.00002938857],"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":[0.003959138,0.0006295859,0.1520151,0.00843143,0.004185691,0.001571443,0.0001374701,0.0105769,0.08216781,0.008220376,0.02092833,0.7071767],"study_design_scores_gemma":[0.0009884202,0.004331245,0.4053529,0.002284715,0.01001751,0.006907347,0.0003886516,0.03492806,0.08563632,0.0243805,0.4245363,0.0002480671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3728399,0.5525417,0.0183305,0.005573805,0.0007118746,0.0005139217,0.01790762,0.001072639,0.03050809],"genre_scores_gemma":[0.863219,0.1085824,0.0111354,0.00122365,0.0002677829,0.000338448,0.009103507,0.00004892107,0.006080922],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003218997,"threshold_uncertainty_score":0.01076865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956674414089043,"score_gpt":0.2387701151654396,"score_spread":0.2292033710245491,"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."}}