{"id":"W4384939889","doi":"10.1093/oso/9780198874522.003.0007","title":"Genetic welding","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Genome editing; Cas9; CRISPR; Genome; Gene; Gene drive; Genetics; Caenorhabditis elegans; Synthetic biology; Computational biology; Evolutionary biology","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":[0.000273106,0.0006768287,0.0003105818,0.001139975,0.00107185,0.001725751,0.0009510372,0.0009983768,0.04780899],"category_scores_gemma":[0.0003952376,0.0002990362,0.0004467781,0.000691881,0.001888024,0.002286995,0.001535245,0.002333469,0.02901944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506885,"about_ca_system_score_gemma":0.0006626867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139718,"about_ca_topic_score_gemma":0.003068887,"domain_scores_codex":[0.999787,0.00002714204,0.000007531813,0.00006145403,0.00009688954,0.00002003189],"domain_scores_gemma":[0.9998924,0.00003575529,0.000006228952,0.00001911732,0.00003186556,0.00001473295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001972253,0.00001888474,0.00007069581,0.0001858291,0.00000772478,0.0002539661,0.0004576379,0.001031054,0.003144893,0.6515141,0.1659923,0.1773033],"study_design_scores_gemma":[0.000001507123,0.000005286109,0.0000337978,0.00005461264,0.000001626533,0.0002624909,0.00004770128,0.000238513,0.0005226938,0.03099087,0.9678363,0.000004555442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00106999,0.01036399,0.03445033,0.003097704,0.002217877,0.0000527921,0.0001610811,0.000599039,0.9479871],"genre_scores_gemma":[0.0126189,0.007930515,0.01436257,0.001509613,0.0002893493,0.00006898487,0.0001860451,0.0003469438,0.9626871],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04780899,"threshold_uncertainty_score":0.1599371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156656969610799,"score_gpt":0.2704839827757318,"score_spread":0.2589174130796238,"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."}}