{"id":"W4308704237","doi":"10.1111/cge.14262/v1/decision1","title":"Decision letter for \"Bridging clinical care and research in Ontario, Canada: Maximizing diagnoses from reanalysis of clinical exome sequencing data\"","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medical diagnosis; Bridging (networking); Exome sequencing; Clinical decision making; Data science; Computational biology; Computer science; Medicine; Data mining; Family medicine; Genetics; Biology; Pathology; Gene","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":[0.0110296,0.0007374887,0.002499804,0.001926606,0.01009562,0.007972174,0.004603315,0.05658491,0.03107184],"category_scores_gemma":[0.07629056,0.001321519,0.002540755,0.002139395,0.005951788,0.002908954,0.002690006,0.02796357,0.01375693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02511278,"about_ca_system_score_gemma":0.1416284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4956105,"about_ca_topic_score_gemma":0.7237676,"domain_scores_codex":[0.986574,0.001518186,0.001278632,0.001161601,0.006277471,0.003190032],"domain_scores_gemma":[0.9298431,0.01375096,0.001974552,0.001847037,0.03587521,0.01670931],"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":[0.00003174671,0.00001299473,0.0002503271,0.00002156075,0.00001122157,0.0001903611,0.00003812621,0.00003307787,0.00003917638,0.0006786159,0.9968024,0.00189027],"study_design_scores_gemma":[0.0002256209,0.000024459,0.002572667,0.0002306159,0.000049101,0.000247335,0.0003350492,0.0005000747,0.0001527443,0.002230635,0.9933493,0.0000823787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007834628,0.0005170507,0.0002848221,0.9312202,0.04936706,0.0003130905,0.001067206,0.0001435328,0.01630355],"genre_scores_gemma":[0.006318568,0.0007032764,0.001059614,0.8954623,0.02120725,0.0002745042,0.0004954076,0.0001185609,0.0743605],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5043895,"threshold_uncertainty_score":0.9854514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2401266570335724,"score_gpt":0.4563884471922742,"score_spread":0.2162617901587018,"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."}}