{"id":"W2579881197","doi":"10.1186/s13059-016-1135-5","title":"Genome Informatics 2016","year":2017,"lang":"en","type":"article","venue":"Genome biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Genome Biology; Biology; Genome; Human genetics; Informatics; Translational bioinformatics; Personal genomics; Computational biology; Genetics; Library science; Genomics; Data science; Evolutionary biology; Gene; Computer science; Political science","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":[0.006378552,0.002334266,0.001606863,0.005341107,0.001606992,0.007640214,0.00242528,0.00199738,0.1091036],"category_scores_gemma":[0.008468166,0.0009675578,0.001402927,0.005862245,0.0005966088,0.003819638,0.00438407,0.003600632,0.1580053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138297,"about_ca_system_score_gemma":0.007735927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008947548,"about_ca_topic_score_gemma":0.01787189,"domain_scores_codex":[0.9980935,0.0003409492,0.000222567,0.0002679318,0.0008165977,0.0002583259],"domain_scores_gemma":[0.9943742,0.0005188454,0.0003971969,0.0008916694,0.00172458,0.002093493],"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":[0.000126495,0.00004524095,0.0002398872,0.0003217969,0.00001165842,0.00003905966,0.00003443625,0.0001083341,0.0008482085,0.001332289,0.9504457,0.04644686],"study_design_scores_gemma":[0.00001879567,0.00001714562,0.0009972638,0.0002001524,0.00001049008,0.00004953907,0.00003135763,0.0001219583,0.0005319688,0.001128818,0.9968746,0.00001792481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005194772,0.0487813,0.02942245,0.07150511,0.07356785,0.001916521,0.4856902,0.02820503,0.2557168],"genre_scores_gemma":[0.004145771,0.02109521,0.02351543,0.00416744,0.003589752,0.0005884425,0.7715545,0.003152239,0.1681913],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1091036,"threshold_uncertainty_score":0.3649878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104835138017259,"score_gpt":0.2957872628594092,"score_spread":0.2747389114792366,"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."}}