{"id":"W4232161844","doi":"10.1139/bcb-2017-0050","title":"Special issue: Discovery and development of the CRISPR–Cas9 system / Numéro spécial : Découverte et mise au point du système CRISPR–Cas9","year":2017,"lang":"fr","type":"article","venue":"Biochemistry and Cell Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"CRISPR; Biology; Computational biology; Computer science; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002410318,0.003224522,0.003251239,0.005219823,0.001824505,0.006210806,0.00351102,0.007097386,0.08824179],"category_scores_gemma":[0.004323272,0.001289465,0.002359854,0.002194658,0.001408047,0.003854462,0.002494474,0.003668261,0.04153725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395172,"about_ca_system_score_gemma":0.00271899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006178687,"about_ca_topic_score_gemma":0.001317969,"domain_scores_codex":[0.9971964,0.0002226229,0.0003833366,0.0004599298,0.001336071,0.000401564],"domain_scores_gemma":[0.9927255,0.001140147,0.000889917,0.0003717159,0.00237315,0.002499624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001950557,0.0001015895,0.0001307714,0.0006540652,0.00002415547,0.0002111841,0.00001052573,0.0001169454,0.002598045,0.0009074174,0.9576625,0.03738781],"study_design_scores_gemma":[0.00005279417,0.000203856,0.000981292,0.0001525872,0.00004143107,0.0007628077,0.00003009545,0.0003919091,0.003706031,0.001325688,0.9923211,0.00003050499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001027856,0.01967833,0.002612023,0.02077782,0.9341581,0.0001759217,0.0006931557,0.0008237372,0.02005307],"genre_scores_gemma":[0.003863328,0.02242342,0.001696204,0.007756901,0.8363397,0.000130634,0.002443609,0.0006242244,0.1247219],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08824179,"threshold_uncertainty_score":0.2951982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007934609034577008,"score_gpt":0.2676197647599535,"score_spread":0.2596851557253765,"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."}}