{"id":"W2973379642","doi":"10.1186/s40694-019-0076-7","title":"Efficient marker free CRISPR/Cas9 genome editing for functional analysis of gene families in filamentous fungi","year":2019,"lang":"en","type":"article","venue":"Fungal Biology and Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Danmarks Tekniske Universitet; Concordia University","keywords":"CRISPR; Genome editing; Gene knockout; Cas9; Biology; Plasmid; Genetics; Gene; Transformation (genetics); Computational biology; Marker gene; Genome","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":[0.000290937,0.0004881097,0.0004090507,0.0004106346,0.0002435062,0.0003759052,0.0004885617,0.0004006518,0.00144601],"category_scores_gemma":[0.0001856878,0.000237072,0.0004271383,0.0002703031,0.0002033634,0.0002082894,0.0002814391,0.0006476368,0.0007873999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003175896,"about_ca_system_score_gemma":0.0002461385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005576903,"about_ca_topic_score_gemma":0.0007009483,"domain_scores_codex":[0.9996498,0.00004314695,0.00004942841,0.00009249409,0.0001314315,0.00003372461],"domain_scores_gemma":[0.9998475,0.00002889543,0.00004442685,0.00003110229,0.00002036989,0.00002756351],"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":[0.00003257811,0.000009897686,0.0000697767,0.00003902303,0.000004256487,0.00005003235,0.000006825695,0.0001255031,0.9977624,0.0001111876,0.00005051584,0.001737913],"study_design_scores_gemma":[0.00001136012,0.00005512291,0.001116175,0.000007941057,0.00001482176,0.0002907097,0.00001032755,0.00249526,0.9920282,0.00008989275,0.003871292,0.000009006725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6823704,0.002372822,0.3032605,0.0001681288,0.0001310944,0.0004153684,0.005288576,0.002380213,0.00361294],"genre_scores_gemma":[0.8866882,0.001174826,0.102492,0.00007962628,0.00001703508,0.0002239348,0.003667132,0.0002927013,0.005364599],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00144601,"threshold_uncertainty_score":0.004837394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004916068669664316,"score_gpt":0.2464804574381338,"score_spread":0.2415643887684695,"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."}}