{"id":"W4292291677","doi":"10.1139/bcb-2021-0506","title":"Community-led risk analysis of direct-to-consumer whole-genome sequencing","year":2022,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Whole genome sequencing; Personalized medicine; Genetic testing; Personal genomics; Population; Business; Genome; Biology; Genetics; Gene; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04953882,0.0007053858,0.0006432168,0.003389116,0.001374959,0.003994129,0.002406755,0.00265789,0.005673907],"category_scores_gemma":[0.1265216,0.000323812,0.001234604,0.002406445,0.002275912,0.003001624,0.00439345,0.003074826,0.0008471665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003101692,"about_ca_system_score_gemma":0.005130109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0099308,"about_ca_topic_score_gemma":0.007571162,"domain_scores_codex":[0.9548546,0.02493438,0.001123922,0.00321773,0.01440335,0.001465915],"domain_scores_gemma":[0.8483317,0.1015599,0.01604988,0.0118826,0.02038899,0.001786907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001050872,0.0008607097,0.3288467,0.001033363,0.001103671,0.00169804,0.0074406,0.05658675,0.002066019,0.3360797,0.03382213,0.2294115],"study_design_scores_gemma":[0.0002084889,0.0009295477,0.1115227,0.001556599,0.0009172005,0.002010873,0.007323517,0.4535701,0.008267843,0.3243473,0.08899765,0.0003481861],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5226628,0.003732923,0.3247644,0.02646857,0.00046194,0.002394087,0.005689641,0.0007867496,0.1130388],"genre_scores_gemma":[0.9485886,0.0007167785,0.04028555,0.001732937,0.0001363341,0.0008151178,0.001531867,0.0001176379,0.006075196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04953882,"threshold_uncertainty_score":0.2619895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007395546901354082,"score_gpt":0.2653692803292171,"score_spread":0.257973733427863,"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."}}