{"id":"W3186541468","doi":"10.1016/j.jacc.2021.06.004","title":"Genetics to the Rescue","year":2021,"lang":"en","type":"letter","venue":"Journal of the American College of Cardiology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Medical emergency; Computational biology","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":[0.004618295,0.0007856,0.001181554,0.0006735338,0.002370316,0.002440804,0.001041437,0.01675054,0.007160612],"category_scores_gemma":[0.01602701,0.0003641146,0.0009047083,0.0002101975,0.004869148,0.002647431,0.002345576,0.03036792,0.004258411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078209,"about_ca_system_score_gemma":0.002196589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993644,"about_ca_topic_score_gemma":0.003885803,"domain_scores_codex":[0.9977015,0.0008561544,0.0001371809,0.0003453797,0.0006503547,0.0003095302],"domain_scores_gemma":[0.9930243,0.003701902,0.0002593314,0.0006239094,0.0008912279,0.001499221],"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":[0.0001059777,0.00007862985,0.0005472451,0.00004746631,0.00003151023,0.001764447,0.0001201262,0.00009155053,0.000586027,0.02665791,0.945789,0.02418009],"study_design_scores_gemma":[0.0001302049,0.00008278334,0.0004659206,0.0002043964,0.00002160863,0.0020282,0.0001603755,0.0002032472,0.0003252419,0.0355324,0.9608168,0.00002882562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005853153,0.008805921,0.0005113962,0.9562089,0.02655694,0.000007968311,0.00003307268,0.00005621556,0.007234255],"genre_scores_gemma":[0.01341366,0.009209105,0.000755663,0.8991918,0.0568269,0.00003573266,0.00004689326,0.00006609919,0.02045407],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01675054,"threshold_uncertainty_score":0.0244242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018930769579288,"score_gpt":0.2470730859046548,"score_spread":0.2368837782088619,"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."}}