{"id":"W4321375288","doi":"10.3390/fishes8020116","title":"Editing the Melanocortin-4 Receptor Gene in Channel Catfish Using the CRISPR-Cas9 System","year":2023,"lang":"en","type":"article","venue":"Fishes","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Catfish; Ictalurus; Biology; Zebrafish; Microinjection; CRISPR; Gene; Cas9; Melanocortin 4 receptor; Aquaculture; Genetics; Fishery; Cell biology; Receptor; Melanocortin; Fish <Actinopterygii>","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":[0.000362551,0.0003941784,0.0003440862,0.0003883951,0.0002562435,0.0003669611,0.000475855,0.0005126118,0.001116499],"category_scores_gemma":[0.0003609744,0.0003198704,0.0003695849,0.0001601492,0.0003948932,0.0002265004,0.0005373366,0.000479712,0.0003360579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005405392,"about_ca_system_score_gemma":0.0005228509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003440407,"about_ca_topic_score_gemma":0.004475328,"domain_scores_codex":[0.9996519,0.00002329265,0.00005594142,0.0001127518,0.0001135063,0.00004272406],"domain_scores_gemma":[0.9997906,0.00003793564,0.0000793368,0.00003219964,0.00002912051,0.00003080357],"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":[0.00005233609,0.00001300577,0.0004256885,0.00006806633,0.00001173766,0.0001637322,0.00003712625,0.0003444102,0.9958193,0.0001880417,0.00007569769,0.002800756],"study_design_scores_gemma":[0.00005290914,0.0002829629,0.007510986,0.0000259813,0.00006959704,0.000967751,0.00006654202,0.007497106,0.9739578,0.0001199337,0.009400949,0.00004754251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729784,0.0004460649,0.02259805,0.0001357735,0.00008318419,0.0001900888,0.0006605281,0.0004899148,0.002417953],"genre_scores_gemma":[0.9616407,0.0005469486,0.02712909,0.000105045,0.000009129247,0.0002121755,0.00104362,0.0001229575,0.009190277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003440407,"threshold_uncertainty_score":0.006840765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182941407871824,"score_gpt":0.28960359672915,"score_spread":0.2713094559419676,"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."}}