{"id":"W7125771455","doi":"10.5220/0014431700004933","title":"Advancements in CRISPR Technology for Studying Antibiotic Resistance Mechanisms in Bacteria","year":2025,"lang":"","type":"article","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"CRISPR; Bacteria; Antibiotic resistance; Antibiotics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001695614,0.0006703348,0.001297346,0.001138026,0.0004515441,0.001649932,0.0009966372,0.001152096,0.001897033],"category_scores_gemma":[0.001369093,0.000439719,0.0010052,0.0009400877,0.001120484,0.001293215,0.001202199,0.003566933,0.00106629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071754,"about_ca_system_score_gemma":0.001034058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008110977,"about_ca_topic_score_gemma":0.0009741984,"domain_scores_codex":[0.9982376,0.0003766181,0.0001288894,0.0003786435,0.0007663104,0.000111901],"domain_scores_gemma":[0.9985922,0.0004822421,0.000178617,0.0003345823,0.0002621387,0.0001502425],"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":[0.00008250591,0.00009072934,0.0006304582,0.000466228,0.00005180133,0.0000833221,0.00007981525,0.0005666313,0.9371482,0.009607447,0.0008498886,0.05034297],"study_design_scores_gemma":[0.00003153779,0.0005089675,0.004455198,0.0001350278,0.0001354325,0.001237153,0.0001252644,0.004469143,0.87464,0.007935877,0.1062268,0.00009964666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2411194,0.1156019,0.5978341,0.01038066,0.002172912,0.0003429778,0.001830173,0.004218202,0.02649974],"genre_scores_gemma":[0.562318,0.1067355,0.3069608,0.002364288,0.0009430952,0.0003319852,0.00222931,0.0005063125,0.01761061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001897033,"threshold_uncertainty_score":0.0089674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006923867355795084,"score_gpt":0.3171705464653447,"score_spread":0.3102466791095496,"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."}}