{"id":"W2592336675","doi":"10.1242/dmm.026765","title":"A rapid and effective method for screening, sequencing and reporter verification of engineered frameshift mutations in zebrafish","year":2017,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Terry Fox Research Institute; Canadian Institutes of Health Research; Dalhousie University","keywords":"Frameshift mutation; Biology; CRISPR; Genetics; Zebrafish; Cas9; Gene; Genome editing; Mutant; Mutation; Exon; Genetic screen; Computational biology","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":[0.0002175672,0.0000962632,0.0001187116,0.00004168937,0.00006869161,0.00002610098,0.0000622298,0.00006365589,9.213578e-7],"category_scores_gemma":[0.0001430186,0.0001034605,0.00004023669,0.00001557319,0.00002282737,0.0000104281,0.00004165037,0.0000311834,2.667669e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005569902,"about_ca_system_score_gemma":0.00002361589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002184749,"about_ca_topic_score_gemma":0.000009400182,"domain_scores_codex":[0.9994155,0.0000190795,0.0001400179,0.0002582514,0.00005664599,0.0001104692],"domain_scores_gemma":[0.9995012,0.00001771835,0.00007642894,0.0002771622,0.00004844855,0.00007910172],"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":[0.0001397681,0.0000275133,0.0001453287,0.0001615753,0.00006115478,0.000004261564,0.00040337,0.01144899,0.965927,0.003566805,0.00001033819,0.01810392],"study_design_scores_gemma":[0.001208456,0.0001617773,0.01090078,0.00007212522,0.0001023272,0.000005822807,0.0001507376,0.4800451,0.4868515,0.02018184,0.00006438994,0.0002552135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3112882,0.0003273773,0.6879587,0.00003193801,0.00002345968,0.0003127553,0.00003737084,0.000004724193,0.00001545922],"genre_scores_gemma":[0.924377,0.00003332756,0.07531375,0.00002261075,0.00002101229,0.0001442629,0.000063106,0.00001485303,0.00001006524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6130888,"threshold_uncertainty_score":0.4218997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752294341437871,"score_gpt":0.3165613096682174,"score_spread":0.2990383662538387,"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."}}