{"id":"W4361222760","doi":"10.1016/j.tig.2023.02.010","title":"Synthetic gene drives as an anthropogenic evolutionary force","year":2023,"lang":"en","type":"review","venue":"Trends in Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Natural selection; Evolutionary biology; Selection (genetic algorithm); Genetics; Computer science; Artificial intelligence","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":[0.0007940193,0.001084539,0.001414998,0.001267312,0.0002606845,0.001629154,0.001124768,0.001636291,0.004094662],"category_scores_gemma":[0.0009311878,0.0003122873,0.0003590718,0.001564172,0.001610492,0.00171369,0.0009887754,0.002751447,0.001734093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061219,"about_ca_system_score_gemma":0.001134587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008055653,"about_ca_topic_score_gemma":0.001557252,"domain_scores_codex":[0.999744,0.00004304563,0.00002434115,0.00006249398,0.00009736498,0.00002871962],"domain_scores_gemma":[0.9995467,0.000294495,0.00004475892,0.00001672897,0.00006298466,0.00003424864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008366546,0.00004309543,0.0001552606,0.01031064,0.00006116194,0.0002360088,0.00004523389,0.001017615,0.004449963,0.04089628,0.0299258,0.9127752],"study_design_scores_gemma":[0.00001109196,0.00003591636,0.0002402337,0.001065277,0.00003711331,0.0004921074,0.00002854257,0.0001365583,0.0009236801,0.007421826,0.9895921,0.00001551853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001513558,0.9952853,0.0008753203,0.0006394709,0.0005922999,0.000003270069,0.00001720961,0.00001713258,0.002418601],"genre_scores_gemma":[0.001220356,0.9958515,0.000517472,0.000534475,0.0004584161,0.000008006924,0.00003347849,0.000004837424,0.001371446],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004094662,"threshold_uncertainty_score":0.01369798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03519777095465559,"score_gpt":0.3993638049528144,"score_spread":0.3641660339981588,"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."}}