{"id":"W4393729423","doi":"10.5281/zenodo.6341891","title":"Simulated exome-sequencing data for a family study of lymphoid cancer","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Exome sequencing; Exome; Computational biology; Cancer; Biology; Genetics; Gene; Mutation","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":[0.002505218,0.0006607604,0.0007835855,0.0009578391,0.0006091418,0.0009666575,0.001846687,0.001223075,0.1100593],"category_scores_gemma":[0.009500029,0.000682326,0.001313822,0.00212927,0.0002188488,0.0005676873,0.001036514,0.001334411,0.0379315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028853,"about_ca_system_score_gemma":0.001207321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006840767,"about_ca_topic_score_gemma":0.01521583,"domain_scores_codex":[0.9993548,0.0002433287,0.00005024515,0.0001504803,0.0001427539,0.00005837066],"domain_scores_gemma":[0.9965437,0.001755363,0.0001497236,0.0008403226,0.0004534431,0.0002574733],"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":[0.001854908,0.0002294986,0.02254371,0.0009182486,0.0004649926,0.0006190439,0.0002660429,0.0373052,0.003271706,0.005246262,0.9060032,0.02127725],"study_design_scores_gemma":[0.004480273,0.0007253867,0.06009808,0.0007092298,0.0006627673,0.001864797,0.0004257686,0.07614978,0.009302516,0.03532942,0.8099973,0.0002547322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01209128,0.0001118488,0.007196344,0.0004792066,0.0001602229,0.0001189253,0.9739168,0.00297158,0.002953927],"genre_scores_gemma":[0.01646143,0.000102917,0.008125987,0.0003015256,0.00002930509,0.0005194586,0.9693865,0.0009781056,0.004094891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1100593,"threshold_uncertainty_score":0.3681849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1350991561810069,"score_gpt":0.340721527802253,"score_spread":0.2056223716212461,"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."}}