{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388657,0.0007381383,0.0006390549,0.0007280976,0.0003515928,0.0005973618,0.0007728014,0.000660068,0.00248184],"category_scores_gemma":[0.0007566578,0.000434109,0.0004455997,0.0003689588,0.0003856959,0.0003216468,0.0009907297,0.001772805,0.001567773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140865,"about_ca_system_score_gemma":0.0003809413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000240812,"about_ca_topic_score_gemma":0.0005575763,"domain_scores_codex":[0.9993126,0.00009580846,0.0001064924,0.000167658,0.0002452479,0.0000721101],"domain_scores_gemma":[0.9993953,0.0001450964,0.0001276012,0.0001626364,0.0000837431,0.00008568986],"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":[0.00003007891,0.00002069913,0.00007838359,0.00004396573,0.000007361074,0.0001031865,0.00001855894,0.0001956674,0.9950976,0.0006517099,0.0002139324,0.003538777],"study_design_scores_gemma":[0.00002117438,0.000128647,0.000810289,0.00001790039,0.00002414648,0.0004970371,0.00001678801,0.002124763,0.9796811,0.0002880607,0.01637033,0.00001974716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5566459,0.001611815,0.4157933,0.0004748436,0.0005443657,0.001593083,0.006275736,0.005076087,0.01198482],"genre_scores_gemma":[0.7950332,0.002643232,0.1725813,0.0003676322,0.00006086847,0.001527334,0.007642886,0.002247641,0.01789588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00248184,"threshold_uncertainty_score":0.008302629,"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."}}