{"id":"W4309681905","doi":"10.1101/2022.11.22.517518","title":"CRISPR/Cas9-based repeat depletion for the high-throughput genotyping of complex plant genomes","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Saskatchewan; Novelis (Canada)","funders":"","keywords":"Genotyping; Biology; Genetics; Genome; CRISPR; DNA sequencing; Computational biology; Genomics; Cas9; Copy-number variation; Genotype; Gene","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":[0.000587599,0.0003954042,0.000497331,0.00039602,0.0002312479,0.0005744808,0.0005741125,0.0004403428,0.001244874],"category_scores_gemma":[0.0003987069,0.00029193,0.0004828265,0.0002655959,0.0002891581,0.0002635909,0.0005044095,0.0009259175,0.0007198392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180436,"about_ca_system_score_gemma":0.0002814952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006859874,"about_ca_topic_score_gemma":0.001332644,"domain_scores_codex":[0.9994769,0.00008969047,0.00004995789,0.0001529372,0.0001920322,0.00003861257],"domain_scores_gemma":[0.9996892,0.00007835447,0.00007210412,0.00007959171,0.00003937806,0.00004142203],"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":[0.00004177553,0.00001371384,0.0001883828,0.00006285871,0.00001769466,0.00002509862,0.00001186801,0.0005381141,0.9928557,0.0001694606,0.000222421,0.005852864],"study_design_scores_gemma":[0.00001352407,0.00007714896,0.002071503,0.000008380165,0.00002549938,0.0001751181,0.000009896818,0.01099839,0.9807098,0.0002323821,0.005653784,0.00002456387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4817622,0.002736216,0.5002393,0.0003708843,0.0001664517,0.0004956133,0.004252063,0.006550893,0.003426493],"genre_scores_gemma":[0.7582897,0.001018279,0.2323211,0.0002531769,0.00003236912,0.0003347135,0.003221751,0.0004628096,0.004066194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001244874,"threshold_uncertainty_score":0.004164517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330253678844079,"score_gpt":0.2107393512577808,"score_spread":0.1774368144693401,"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."}}