{"id":"W4400663968","doi":"10.1016/j.mocell.2024.100092","title":"Unlocking biological mechanisms with integrative functional genomics approaches","year":2024,"lang":"en","type":"review","venue":"Molecules and Cells","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"National Research Foundation of Korea; Korea University; National Research Foundation","keywords":"CRISPR; Functional genomics; Computational biology; Genomics; Epigenetics; Biology; Chromatin; Personalized medicine; Genome editing; Epigenomics; Precision medicine; Cas9; Gene; Genetics; Genome; Gene expression; DNA methylation","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":[0.0005905204,0.0009858937,0.001294272,0.00154348,0.0002301933,0.001304008,0.0009566689,0.001052028,0.003171402],"category_scores_gemma":[0.0004084652,0.000348925,0.0006192553,0.001081356,0.0006432695,0.001565,0.000789714,0.002388768,0.002225416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006991656,"about_ca_system_score_gemma":0.0009590371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005815601,"about_ca_topic_score_gemma":0.0008887338,"domain_scores_codex":[0.9997988,0.00003038062,0.00001815795,0.00003895283,0.00008627001,0.00002747169],"domain_scores_gemma":[0.9998448,0.00008747087,0.00001608746,0.000009792177,0.0000296435,0.00001218045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006709729,0.00007980077,0.0001576777,0.02173364,0.0001606948,0.0003895383,0.0001232743,0.001289216,0.0435222,0.04654836,0.01963303,0.8662954],"study_design_scores_gemma":[0.0000107563,0.00006684719,0.0002372872,0.001021793,0.00008104572,0.0005696715,0.00003554903,0.0002049904,0.005990396,0.005293409,0.9864652,0.00002308288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006134188,0.9881271,0.004162326,0.0006375751,0.0003271108,0.00002599922,0.00009903968,0.00007366647,0.005933793],"genre_scores_gemma":[0.002956913,0.9919865,0.002662481,0.0004063104,0.0001105933,0.00002881605,0.0001420784,0.000009477618,0.001696754],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003171402,"threshold_uncertainty_score":0.01060945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03990063588692792,"score_gpt":0.2825133326085278,"score_spread":0.2426126967215999,"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."}}