{"id":"W3127278713","doi":"10.1101/2021.02.04.428760","title":"CRISPR-Cas9 gene editing and rapid detection of gene-edited mutants using high-resolution melting in the apple scab fungus, <i>Venturia inaequalis</i>","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Serono Symposia International Foundation; Marsden Fund; Concordia University; Royal Society Te Apārangi; New Zealand Institute for Plant and Food Research Limited; AgResearch","keywords":"Venturia inaequalis; Biology; Apple scab; CRISPR; Genetics; Gene; Cas9; Homologous recombination; Mutant; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003423812,0.000394463,0.0003551895,0.0002401407,0.0002337818,0.0005255343,0.0005087199,0.0005663742,0.001438563],"category_scores_gemma":[0.0002665134,0.000251499,0.0004276441,0.0001372851,0.0003165404,0.0001975085,0.0004658379,0.0007408822,0.0006395333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421243,"about_ca_system_score_gemma":0.0002657312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203536,"about_ca_topic_score_gemma":0.001658881,"domain_scores_codex":[0.9995907,0.00003522263,0.00006381061,0.0001237196,0.0001361125,0.00005042273],"domain_scores_gemma":[0.999745,0.00004689482,0.00009648372,0.00003563857,0.00002310121,0.00005287542],"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":[0.00002304376,0.00001036911,0.00008524724,0.00002327822,0.000003530992,0.00004807466,0.00001219017,0.0001259158,0.9986538,0.0001363667,0.00004762204,0.0008305198],"study_design_scores_gemma":[0.00000855919,0.00004462331,0.0011896,0.000004736779,0.000006920782,0.0001630728,0.00001086822,0.00228767,0.9941632,0.00004298144,0.002067683,0.0000102211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8736786,0.0006524301,0.1169746,0.0002439443,0.0001349621,0.000248155,0.00227032,0.001729751,0.00406727],"genre_scores_gemma":[0.9495838,0.0003337596,0.04268491,0.00008002108,0.00001057525,0.0001415333,0.001573,0.0003264857,0.005265899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001438563,"threshold_uncertainty_score":0.004812479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081573615545745,"score_gpt":0.2443972293927826,"score_spread":0.2335814932373251,"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."}}