{"id":"W2197776587","doi":"10.1016/j.cels.2015.12.007","title":"Essential Human Genes","year":2015,"lang":"en","type":"article","venue":"Cell Systems","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gene; Biology; Computational biology; Genetics; Evolutionary biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001003446,0.00007748693,0.00007368223,0.00001587482,0.0000273059,0.00002302606,0.00009554001,0.00007898141,0.000003650042],"category_scores_gemma":[0.000004779245,0.00007548615,0.0000335759,0.00002673186,0.00001379613,7.648219e-7,0.00004177372,0.00002880399,0.00003160046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005809049,"about_ca_system_score_gemma":0.00002101373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005087848,"about_ca_topic_score_gemma":0.000006241751,"domain_scores_codex":[0.999507,0.00001712972,0.0001061678,0.0001515903,0.00008749848,0.000130594],"domain_scores_gemma":[0.9996322,0.000001106096,0.00002296439,0.0002078852,0.00004518984,0.00009059846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003446818,0.00001436181,0.0007030962,0.0000294213,0.000009537152,0.000002482522,0.00003464278,0.002355108,0.9884956,0.00004699914,0.008197905,0.0001074107],"study_design_scores_gemma":[0.0003913534,0.00009468568,0.000117799,0.000006097988,0.000009495272,0.00001521983,0.0002033992,0.0002535826,0.7206195,0.00000495456,0.2781237,0.0001601654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633203,0.007903976,0.01112761,0.00000778671,0.0009802047,0.0001277084,0.000003638635,0.00002338765,0.01650541],"genre_scores_gemma":[0.9945416,0.00001920669,0.00006837468,0.000008518359,0.0007721539,0.00001107028,0.00003884005,0.00001277356,0.004527486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2699258,"threshold_uncertainty_score":0.3078236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210734472615451,"score_gpt":0.2883443225928416,"score_spread":0.2762369778666871,"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."}}