{"id":"W2340375233","doi":"10.1161/circulationaha.116.022593","title":"Can We Make High-Density Lipoproteins Great Again?","year":2016,"lang":"en","type":"letter","venue":"Circulation","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003869985,0.001029692,0.001965574,0.0007653915,0.004517261,0.004340315,0.001337204,0.04883735,0.008479432],"category_scores_gemma":[0.02480855,0.0007619706,0.001290915,0.0006433373,0.003671828,0.005781707,0.002063396,0.0580872,0.006846679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316103,"about_ca_system_score_gemma":0.003870238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193262,"about_ca_topic_score_gemma":0.009246693,"domain_scores_codex":[0.9972569,0.0009040418,0.000327387,0.0002947614,0.0008682254,0.0003486855],"domain_scores_gemma":[0.995044,0.002214844,0.0004653223,0.0001963869,0.0006116225,0.001467793],"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":[0.0001690326,0.0001719363,0.002247273,0.0001041607,0.00005727455,0.003286731,0.0002659302,0.00007720978,0.0002550056,0.006190293,0.9651235,0.02205174],"study_design_scores_gemma":[0.000467063,0.0001918041,0.002826504,0.0008070275,0.00009510187,0.004915392,0.001146651,0.000463612,0.0002362227,0.02851813,0.9602088,0.0001237486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002233624,0.001814972,0.00004116539,0.9847389,0.01183834,0.000004151843,0.00001250578,0.000009733946,0.001316912],"genre_scores_gemma":[0.003080414,0.002802817,0.00020478,0.9043434,0.08477324,0.00002590053,0.00001567028,0.00001331235,0.004740481],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04883735,"threshold_uncertainty_score":0.02836657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718097796661619,"score_gpt":0.2243069014713587,"score_spread":0.2071259235047425,"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."}}