{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458077,0.0001208563,0.0001023608,0.00003281913,0.0001412403,0.00003842471,0.000239182,0.00008352819,0.00000649523],"category_scores_gemma":[0.00009469811,0.00007994648,0.00006189329,0.0002215445,0.00003429633,0.000002455022,0.000137561,0.0001066992,0.00001597275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001772629,"about_ca_system_score_gemma":0.00002311897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008756791,"about_ca_topic_score_gemma":0.00008674256,"domain_scores_codex":[0.9991428,0.00004737541,0.0001931035,0.000217469,0.0001100442,0.0002892356],"domain_scores_gemma":[0.999546,0.00002777424,0.00004943477,0.0003131422,0.00003164108,0.00003202896],"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":[0.00003052687,0.00002562666,0.008289657,0.0001711253,0.0001082898,0.0000258113,0.001968469,0.02832298,0.9186745,0.00005794081,0.03969959,0.002625428],"study_design_scores_gemma":[0.0005808707,0.0000988027,0.01753977,0.0001516081,0.00004883045,0.00009500401,0.009024456,0.03016569,0.8778749,0.00002672436,0.06386331,0.0005299956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995278,0.0006438087,0.001906679,0.0005838783,0.0008269037,0.000232599,0.00001774997,0.00004692327,0.0004634776],"genre_scores_gemma":[0.99818,0.00007273747,0.0001237144,0.0001018043,0.001155186,0.00004356476,0.00004751133,0.0000262452,0.0002492917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04079962,"threshold_uncertainty_score":0.3260123,"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."}}