{"id":"W3097404115","doi":"10.1186/s12863-020-00925-4","title":"Functional analysis of bovine interleukin-10 receptor alpha in response to Mycobacterium avium subsp. paratuberculosis lysate using CRISPR/Cas9","year":2020,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Teagasc","keywords":"Paratuberculosis; Lysis; Mycobacterium avium subsp. paratuberculosis; CRISPR; Alpha (finance); Biology; Microbiology; Mycobacterium; Molecular biology; Bacteria; Medicine; Genetics; Gene","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":[0.0002431731,0.0003012872,0.0003047106,0.0001856967,0.0001688123,0.0004281788,0.0002762256,0.0004603847,0.00140577],"category_scores_gemma":[0.0002231711,0.0001548868,0.0003470856,0.0001230151,0.0002355644,0.0001457729,0.0002246589,0.000654741,0.0008744898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003495024,"about_ca_system_score_gemma":0.0001846777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008539855,"about_ca_topic_score_gemma":0.001092664,"domain_scores_codex":[0.9997233,0.00002625697,0.00003190547,0.00007094143,0.0001003365,0.00004723965],"domain_scores_gemma":[0.9997774,0.00005538365,0.00007913052,0.00002546478,0.00002746264,0.00003523714],"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":[0.00004730519,0.000008613166,0.00009728033,0.00003633925,0.000002837748,0.00003133963,0.00001362861,0.00005907045,0.9991645,0.00004284621,0.00004421975,0.0004521211],"study_design_scores_gemma":[0.00002630377,0.0001794089,0.00434571,0.00001509905,0.00003019296,0.0003467262,0.00006612239,0.00364708,0.9845784,0.00004808731,0.006703063,0.00001377711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678621,0.002169254,0.02189665,0.0003626049,0.0001867995,0.0000932888,0.002959759,0.0006163104,0.003853283],"genre_scores_gemma":[0.9811341,0.0006955533,0.01045643,0.0001367532,0.000009468458,0.0001137664,0.002505539,0.0001246856,0.004823697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00140577,"threshold_uncertainty_score":0.004702806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07618620898797882,"score_gpt":0.3307671080318711,"score_spread":0.2545808990438924,"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."}}