{"id":"W4297262532","doi":"","title":"Genetic Testing for Familial Hypercholesterolemia: Health Technology Assessment.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic testing; Familial hypercholesterolemia; Medicine; Grading (engineering); Genetic counseling; Personalized medicine; Risk assessment; Intensive care medicine; Bioinformatics; Internal medicine; Genetics; Cholesterol; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06056372,0.001694525,0.006496383,0.02171953,0.0005400231,0.004949578,0.002602163,0.004040709,0.01046219],"category_scores_gemma":[0.2695127,0.0008871763,0.01358526,0.01551305,0.00138014,0.00347886,0.003077945,0.004017236,0.001075573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01269776,"about_ca_system_score_gemma":0.01832929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001721,"about_ca_topic_score_gemma":0.007743272,"domain_scores_codex":[0.8795254,0.08268553,0.01502973,0.00378234,0.01789284,0.001084158],"domain_scores_gemma":[0.7760856,0.1758728,0.0275318,0.002520881,0.01629393,0.001695009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001906387,0.0002453212,0.008868265,0.5130993,0.0415545,0.0001459221,0.0003627184,0.007809996,0.0001276029,0.006880882,0.02281915,0.3961801],"study_design_scores_gemma":[0.006152225,0.002395487,0.02670601,0.7383953,0.1148888,0.0007896785,0.000443544,0.01211462,0.0004168618,0.02968751,0.0675981,0.0004118944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003392588,0.955623,0.0072246,0.01248464,0.001113721,0.005087103,0.008180168,0.0001570677,0.006737122],"genre_scores_gemma":[0.1830609,0.7292621,0.04077305,0.01556906,0.002403716,0.02005374,0.007656856,0.00009921424,0.001121267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06056372,"threshold_uncertainty_score":0.3202953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0438988879602183,"score_gpt":0.2921450902222693,"score_spread":0.248246202262051,"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."}}