{"id":"W4295812271","doi":"10.3791/64209","title":"CRISPR-Cas9-Mediated Precise Knock-In Edits in Zebrafish Hearts","year":2022,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Zebrafish; Genome editing; Cas9; Biology; Gene knockin; Computational biology; Gene; Model organism; Forward genetics; Genetics; Genetic screen; Phenotype","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":[0.0002853966,0.0005549029,0.0003524396,0.0004072368,0.0002718033,0.0003217772,0.0004463505,0.0005805599,0.00184438],"category_scores_gemma":[0.0001831862,0.0003474788,0.0004058542,0.0001365277,0.0004280617,0.0002790273,0.0004837538,0.0007250448,0.0006719307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292956,"about_ca_system_score_gemma":0.0003557068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565791,"about_ca_topic_score_gemma":0.003126345,"domain_scores_codex":[0.9997376,0.00002557333,0.00003512368,0.00006967899,0.0001013846,0.00003061886],"domain_scores_gemma":[0.9998798,0.00002466186,0.0000376009,0.0000237788,0.00001132911,0.00002285439],"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":[0.00002614461,0.00000761181,0.00005352358,0.00003285846,0.000004421502,0.0001255449,0.00001419752,0.0002037303,0.9977843,0.000369237,0.00008425575,0.001294177],"study_design_scores_gemma":[0.00002813544,0.0001129761,0.001457496,0.00001143567,0.0000180759,0.000405983,0.00001568381,0.00196288,0.9906756,0.0001870709,0.005107746,0.00001703463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.798643,0.001997563,0.1822265,0.0005081135,0.0003476923,0.0004452068,0.003281939,0.003477214,0.009072843],"genre_scores_gemma":[0.9364364,0.001149528,0.04726464,0.0001521898,0.0000233189,0.0002463701,0.001329865,0.0003518816,0.01304584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00184438,"threshold_uncertainty_score":0.006170034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439966340918375,"score_gpt":0.4146239785933647,"score_spread":0.4002243151841809,"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."}}