{"id":"W6939568222","doi":"10.6084/m9.figshare.19200178","title":"Additional file 6 of GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; York University; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Flagging; Table (database); Prioritization; Interpretation (philosophy); File format; Feature (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003361578,0.001757052,0.001339073,0.002992852,0.0008641841,0.00281951,0.002957326,0.00135404,0.809122],"category_scores_gemma":[0.0248806,0.001015539,0.001584754,0.003271087,0.0005069195,0.002228689,0.002414192,0.001458781,0.24158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246737,"about_ca_system_score_gemma":0.001844721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004531369,"about_ca_topic_score_gemma":0.008802447,"domain_scores_codex":[0.9987985,0.0002266164,0.0001685071,0.0004029034,0.0002679193,0.0001356329],"domain_scores_gemma":[0.9855207,0.01067363,0.0005587415,0.001589345,0.001130084,0.0005275687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004344027,0.00004452998,0.002498628,0.001071143,0.00005859712,0.0001421221,0.00007328421,0.0004885388,0.0002960686,0.0008657501,0.9818715,0.01215545],"study_design_scores_gemma":[0.002726444,0.000155106,0.01557473,0.001231632,0.0001734175,0.0009960165,0.0002973753,0.004760853,0.003756265,0.01734772,0.9527485,0.0002318879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0003628765,0.00004207954,0.003936146,0.0002384002,0.0001207306,0.0001212882,0.9795859,0.01301449,0.002577983],"genre_scores_gemma":[0.01228037,0.0001768889,0.02732277,0.001146326,0.0002761466,0.001368223,0.9209951,0.02237434,0.01405995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.809122,"threshold_uncertainty_score":0.2722643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007519417892620842,"score_gpt":0.1996507914340903,"score_spread":0.1921313735414694,"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."}}