{"id":"W4285257629","doi":"10.1007/978-1-0716-2301-5_13","title":"Targeted Gene Editing in Porcine Germ Cells","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institutes of Health","keywords":"CRISPR; Germline; Genome editing; Human disease; Cas9; Biology; Gene; Computational biology; Disease; Genotype; Genetic enhancement; Genetics; Bioinformatics; Medicine; Pathology","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":[0.0008142146,0.000426396,0.0004022647,0.0003498948,0.0003318593,0.0007596647,0.0006943644,0.0008344654,0.002042708],"category_scores_gemma":[0.0002908452,0.000412473,0.000601557,0.0001782557,0.000528665,0.0003341454,0.0005134022,0.00119049,0.000948422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934749,"about_ca_system_score_gemma":0.0002909162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004032602,"about_ca_topic_score_gemma":0.0005652996,"domain_scores_codex":[0.9994734,0.0001123815,0.00004633571,0.000155324,0.0001313592,0.00008113193],"domain_scores_gemma":[0.999699,0.0001008644,0.00005366845,0.00007804812,0.00002429282,0.00004423138],"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":[0.00004173076,0.00001180313,0.00008058256,0.00005716269,0.000007534764,0.00009298343,0.00003556451,0.0001342909,0.9957722,0.001021536,0.00009420841,0.002650371],"study_design_scores_gemma":[0.00002625233,0.0001816576,0.001134984,0.00002083566,0.00003205952,0.0005378305,0.00003434181,0.001124234,0.9807428,0.0003076463,0.01584537,0.00001191971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5947294,0.008243728,0.3640597,0.0008336743,0.001004439,0.0005296246,0.002806884,0.00250779,0.02528466],"genre_scores_gemma":[0.9016005,0.002870953,0.06531068,0.000401202,0.00007854356,0.0002671116,0.002628674,0.000484359,0.02635798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002042708,"threshold_uncertainty_score":0.006833553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009756448916183559,"score_gpt":0.3886994215706551,"score_spread":0.3789429726544715,"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."}}