{"id":"W2577572217","doi":"10.1038/ncomms14112","title":"Rapid generation of hypomorphic mutations","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada); Agriculture and Agri-Food Canada; Western University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; National Institutes of Health; American Cancer Society","keywords":"Gene; Biology; Coding region; Gene expression; Genetics; Translation (biology); Mutation; Computational biology; Regulation of gene expression; Function (biology); Messenger RNA","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008752818,0.00005496416,0.00005772373,0.00002444742,0.000281636,0.00002145625,0.000638201,0.0001374747,0.000007593448],"category_scores_gemma":[0.0002210028,0.0000575819,0.0000439718,0.00002501174,0.0001058983,0.000003404891,0.0001892046,0.0001423826,0.000002713783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003553101,"about_ca_system_score_gemma":0.00002808135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007825063,"about_ca_topic_score_gemma":0.0001864376,"domain_scores_codex":[0.9996635,0.00002147884,0.0001074249,0.00009095038,0.00005262095,0.00006401338],"domain_scores_gemma":[0.9979233,0.00001088384,0.00008054991,0.001848789,0.0001112059,0.0000253316],"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":[0.000003328979,0.00004963195,0.00212416,0.000005218423,0.00003729165,1.240206e-7,0.00004528597,0.0001546653,0.9844205,0.002920348,0.003490366,0.006749071],"study_design_scores_gemma":[0.0004992369,0.00009200774,0.06753366,0.00001543486,0.00004866682,0.00001097193,0.00004931264,0.003428206,0.7007564,0.0001372263,0.2271977,0.0002311809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091544,0.04330111,0.01502347,0.005972468,0.0008011368,0.000521448,0.0001446352,0.00004115183,0.02504023],"genre_scores_gemma":[0.9904723,0.001138131,0.00778897,0.00005306529,0.00009604017,0.00001577298,0.0002833389,0.000008447644,0.00014398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2836641,"threshold_uncertainty_score":0.2348122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322991257937323,"score_gpt":0.3534349443360357,"score_spread":0.3202050317566624,"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."}}