{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002045717,0.0006033508,0.0003362864,0.0006396823,0.0004647426,0.0006376399,0.0004083309,0.0004597908,0.01474922],"category_scores_gemma":[0.0002755438,0.0001631677,0.000263982,0.0004639493,0.0005003244,0.0003423973,0.0006825468,0.0006824671,0.006507315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813428,"about_ca_system_score_gemma":0.0007718013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006426625,"about_ca_topic_score_gemma":0.0008017118,"domain_scores_codex":[0.9997998,0.00002485794,0.000009608373,0.00005607485,0.00006647252,0.00004319673],"domain_scores_gemma":[0.9998461,0.00002274706,0.00001215936,0.00005098256,0.00002248756,0.00004542698],"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":[0.0005012879,0.00006451207,0.001352619,0.0003517918,0.00004132376,0.001317883,0.0002478662,0.0006756782,0.6940549,0.1161351,0.04657543,0.1386817],"study_design_scores_gemma":[0.00005309721,0.0001200038,0.002922453,0.0000539562,0.00005003562,0.003120695,0.00009824042,0.0007703372,0.4186821,0.01657503,0.5575324,0.0000217063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4027647,0.01587693,0.145446,0.004952148,0.003258656,0.0005089882,0.04120565,0.007898607,0.3780884],"genre_scores_gemma":[0.758001,0.005928248,0.03388036,0.0011084,0.0002287345,0.0001956088,0.02384465,0.0005894046,0.1762236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01474922,"threshold_uncertainty_score":0.04934108,"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."}}