{"id":"W2895140123","doi":"10.1534/g3.118.200461","title":"Double Selection Enhances the Efficiency of Target-AID and Cas9-Based Genome Editing in Yeast","year":2018,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO","funders":"Canadian Institutes of Health Research","keywords":"Genome editing; CRISPR; Selection (genetic algorithm); Multiplex; Cas9; Computational biology; Computer science; Biology; Genetics; Gene; 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":[0.0008615715,0.0009155548,0.0009947531,0.0007120706,0.0003160591,0.0009877943,0.0007137971,0.0006393026,0.001624617],"category_scores_gemma":[0.0007306889,0.0003871119,0.0005987877,0.0004493608,0.0004367301,0.0004988408,0.001370547,0.001291038,0.0008647611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004242549,"about_ca_system_score_gemma":0.0002999482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006584429,"about_ca_topic_score_gemma":0.000873751,"domain_scores_codex":[0.9988926,0.0001175399,0.0001416061,0.0003522165,0.0003620895,0.0001339669],"domain_scores_gemma":[0.9992448,0.0002104832,0.0001515464,0.0001577687,0.00009202944,0.0001433486],"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":[0.00005584926,0.00003266699,0.0001823828,0.00003289979,0.000009548096,0.00006317075,0.00001460297,0.0002029287,0.9959258,0.0001524825,0.0000624921,0.003265242],"study_design_scores_gemma":[0.00001147903,0.0001071881,0.0006937125,0.000003937273,0.00001469356,0.000245332,0.000009757994,0.00223873,0.9953061,0.00007456871,0.001281894,0.00001255468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704327,0.0009955361,0.122078,0.0001997483,0.0001070485,0.0001798858,0.000635775,0.00217677,0.003194535],"genre_scores_gemma":[0.9410127,0.0005028166,0.05357633,0.0001163737,0.00001477826,0.0001030213,0.0006494893,0.0005013431,0.00352321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001624617,"threshold_uncertainty_score":0.005434871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007028226109623308,"score_gpt":0.2672020532728505,"score_spread":0.2601738271632272,"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."}}