{"id":"W2127931977","doi":"10.1503/cmaj.111100","title":"New Delhi metallo- -lactamase-1: detection and prevention","year":2011,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"New delhi; Plasmid; Computer science; Microbiology; Medicine; Biology; Genetics; Pathology","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":[0.001125996,0.0008929291,0.0008651014,0.0008231916,0.0009131326,0.001372976,0.001291338,0.01470583,0.004435734],"category_scores_gemma":[0.009284113,0.0005601672,0.0005799294,0.0005450192,0.001718438,0.002020227,0.0004993275,0.01315489,0.004948207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003326918,"about_ca_system_score_gemma":0.0009973447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267452,"about_ca_topic_score_gemma":0.002616851,"domain_scores_codex":[0.9983702,0.0005145718,0.0001959787,0.0002397746,0.0004792592,0.0002001948],"domain_scores_gemma":[0.9973301,0.001502256,0.000231285,0.0001033623,0.000532101,0.0003009281],"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":[0.0004087125,0.0002036928,0.007247905,0.0004726913,0.00003560265,0.06181446,0.0002063372,0.0001962105,0.003088612,0.005613418,0.8441117,0.07660063],"study_design_scores_gemma":[0.0006786294,0.0007342304,0.01538156,0.001183078,0.0001507136,0.1943416,0.0005834829,0.002537794,0.005721526,0.02267847,0.7558752,0.000133726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.005152394,0.01264487,0.00130206,0.9377755,0.028094,0.00008304965,0.0001151789,0.00007773763,0.01475532],"genre_scores_gemma":[0.1255645,0.03501665,0.004203453,0.5638204,0.2367436,0.0002181496,0.0003608864,0.00009576657,0.03397656],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01470583,"threshold_uncertainty_score":0.02413863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007149267064727132,"score_gpt":0.2166988360175361,"score_spread":0.209549568952809,"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."}}