{"id":"W2788051791","doi":"10.1161/circgen.118.002052","title":"Therapeutic Lowering of Lipoprotein(a)","year":2018,"lang":"en","type":"letter","venue":"Circulation Genomic and Precision Medicine","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Lipoprotein(a); Lipoprotein; Cardiology; Internal medicine; Cholesterol","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001565458,0.0007737288,0.001656089,0.0006179888,0.001908537,0.002044741,0.0008016194,0.02544411,0.00659863],"category_scores_gemma":[0.01759554,0.0003274466,0.0009404262,0.0003853545,0.001469337,0.001637482,0.0008868416,0.02334527,0.004498715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213815,"about_ca_system_score_gemma":0.002026591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584076,"about_ca_topic_score_gemma":0.00269819,"domain_scores_codex":[0.9983869,0.0005891889,0.000205559,0.0001525779,0.0004927061,0.0001731685],"domain_scores_gemma":[0.9969945,0.001929922,0.0001647471,0.0001179839,0.0004056907,0.0003872275],"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":[0.0003462937,0.0002253202,0.001591357,0.0001639957,0.00005538322,0.006431573,0.0001155944,0.000146151,0.0006397267,0.008809928,0.9169425,0.06453217],"study_design_scores_gemma":[0.001140323,0.0003216814,0.001950355,0.0006637943,0.0001128222,0.007642529,0.0002233354,0.001095225,0.001004103,0.0245233,0.9612666,0.00005600081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000809364,0.003698585,0.000258945,0.9706068,0.01786212,0.00001494392,0.0000574561,0.0000586062,0.006633149],"genre_scores_gemma":[0.01780962,0.004164498,0.0008569354,0.8480836,0.1201835,0.0001035844,0.00008643337,0.0000368789,0.008674946],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02544411,"threshold_uncertainty_score":0.02207458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242386664890135,"score_gpt":0.2826255515996069,"score_spread":0.2502016849507055,"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."}}