{"id":"W4387994788","doi":"10.1093/europace/euad317","title":"Enhancing the interpretation of genetic observations in KCNQ1 in unselected populations: relevance to secondary findings","year":2023,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"University of Toronto","keywords":"Medicine; Relevance (law); Interpretation (philosophy)","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":[0.01198542,0.0006708148,0.0008064013,0.002037268,0.0006187198,0.001708892,0.001216725,0.0008200782,0.002037185],"category_scores_gemma":[0.03843131,0.0002324001,0.0004397046,0.0009505406,0.001366339,0.0009411743,0.0016302,0.001070189,0.0004769883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407174,"about_ca_system_score_gemma":0.000396869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000046,"about_ca_topic_score_gemma":0.001046883,"domain_scores_codex":[0.9923899,0.004293289,0.0008780496,0.001172083,0.001016191,0.0002504532],"domain_scores_gemma":[0.9668414,0.01947399,0.006189725,0.004018737,0.002501075,0.0009750187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003901403,0.00005915247,0.9657138,0.0002536401,0.0002458297,0.004537894,0.0008555863,0.0002520456,0.008245562,0.000311787,0.001096409,0.01803814],"study_design_scores_gemma":[0.00006220579,0.000301313,0.9719268,0.0001408097,0.0001973342,0.01461561,0.00098529,0.002501772,0.003494337,0.003052976,0.002693539,0.00002805191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847335,0.002002275,0.008456784,0.001224713,0.0001751071,0.00008696973,0.0003681298,0.00008936597,0.002863106],"genre_scores_gemma":[0.996757,0.000288761,0.00214168,0.0003190763,0.0002129702,0.00001740929,0.0001200747,0.00001990402,0.0001230774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198542,"threshold_uncertainty_score":0.06338573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993517670654174,"score_gpt":0.2832393135890642,"score_spread":0.2633041368825225,"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."}}