{"id":"W4318620185","doi":"10.5772/intechopen.109712","title":"Involvement of CRISPR-Cas Systems in <i>Salmonella</i> Immune Response, Genome Editing, and Pathogen Typing in Diagnosis and Surveillance","year":2023,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Canadian Food Inspection Agency","funders":"Public Health Agency; Public Health Agency of Canada; Canadian Food Inspection Agency","keywords":"CRISPR; Biology; Salmonella; Genome; Computational biology; Genome editing; Genetics; Gene; Bacteria","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":[0.0001655536,0.0005457714,0.0004171605,0.0006987023,0.0002652644,0.001225408,0.0004819308,0.000699006,0.01163477],"category_scores_gemma":[0.0001750163,0.0002922994,0.000389092,0.0008621333,0.0004338651,0.001046205,0.0005367346,0.001347369,0.008206515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006389322,"about_ca_system_score_gemma":0.0004380915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005808973,"about_ca_topic_score_gemma":0.0008614123,"domain_scores_codex":[0.9998715,0.00001140262,0.000006879965,0.00003909097,0.00005937321,0.00001171058],"domain_scores_gemma":[0.9999453,0.00002607451,0.000004924705,0.000004040704,0.00001189134,0.000007847771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001210484,0.00007079109,0.0001668834,0.002732926,0.00002195879,0.0004126372,0.000371072,0.001909156,0.1047949,0.07219081,0.07884548,0.7383624],"study_design_scores_gemma":[0.000003949398,0.00004856307,0.0002839097,0.000258414,0.000009011176,0.0006812316,0.00003286487,0.0005088752,0.01228275,0.005328359,0.9805485,0.00001355146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008345263,0.5257955,0.06818049,0.002949585,0.004421468,0.000173347,0.0008251547,0.001648573,0.3876606],"genre_scores_gemma":[0.02650463,0.3690426,0.05260188,0.002071497,0.001033824,0.000160837,0.001125379,0.0003734738,0.5470859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01163477,"threshold_uncertainty_score":0.03892219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573294982201367,"score_gpt":0.2676099398382185,"score_spread":0.2518769900162048,"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."}}