{"id":"W3118391361","doi":"10.1038/s41436-020-01055-z","title":"Response to Biesecker et al.","year":2021,"lang":"en","type":"letter","venue":"Genetics in Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Medical genetics; Genomics; Conceptualization; Genetics; Genomic medicine; Molecular pathology; Precision medicine; Interpretation (philosophy); Medicine; Bioinformatics; Computational biology; Biology; Genome; Philosophy; Computer science; Gene; Artificial intelligence","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":[0.002789495,0.001011374,0.00151058,0.000886526,0.003970042,0.003547471,0.002185567,0.04466385,0.009402902],"category_scores_gemma":[0.02021305,0.0007279789,0.001075067,0.000742546,0.002656535,0.003402003,0.00144511,0.03882471,0.01041829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003275454,"about_ca_system_score_gemma":0.002996123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004883329,"about_ca_topic_score_gemma":0.007428731,"domain_scores_codex":[0.9979472,0.0005604826,0.0001884929,0.0003310422,0.0006534477,0.000319449],"domain_scores_gemma":[0.9951907,0.002281952,0.0002826837,0.0001463987,0.001024648,0.001073571],"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":[0.00005722709,0.00001916259,0.0002356413,0.00002534247,0.000007609945,0.001714929,0.00005118788,0.00003599498,0.00007072555,0.0007551484,0.994338,0.002689054],"study_design_scores_gemma":[0.0001832373,0.00009572667,0.001402787,0.000296305,0.00003629351,0.005939679,0.000536374,0.0006551643,0.0003291375,0.008971151,0.9814587,0.00009536184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002837951,0.0009237544,0.00007624384,0.9739878,0.02203739,0.00001615005,0.00007445109,0.00005082602,0.002549566],"genre_scores_gemma":[0.00227756,0.0005886795,0.0001580689,0.9693248,0.02068845,0.0000418097,0.0000459751,0.00002636201,0.006848288],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04466385,"threshold_uncertainty_score":0.03145581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190160405441231,"score_gpt":0.3030017240620994,"score_spread":0.2839856835179763,"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."}}