{"id":"W2128245173","doi":"10.5210/ojphi.v7i1.5734","title":"CIPARS: A One-Health Approach to Antimicrobial Resistance Surveillance","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Public health; Public health surveillance; Antibiotic resistance; Agency (philosophy); Stakeholder; Antimicrobial; Psychological intervention; Action (physics); Medicine; Health surveillance; Environmental health; Public relations; Political science; Nursing; Biology; Microbiology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02795965,0.001934439,0.001517645,0.007493185,0.00636077,0.01190959,0.006485519,0.003693446,0.010017],"category_scores_gemma":[0.02541914,0.001122675,0.001254534,0.005549078,0.007214329,0.004800896,0.01421637,0.005935187,0.001656683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03837096,"about_ca_system_score_gemma":0.1414683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4555852,"about_ca_topic_score_gemma":0.5422873,"domain_scores_codex":[0.9648944,0.01915576,0.001094175,0.003386377,0.008564234,0.002905006],"domain_scores_gemma":[0.9811229,0.005242177,0.001207008,0.001648397,0.007143738,0.003635753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003757756,0.001053814,0.02953162,0.002945959,0.0004935222,0.00145577,0.02345494,0.00656703,0.001695794,0.3966684,0.07613538,0.4596219],"study_design_scores_gemma":[0.0002463117,0.001148771,0.03081863,0.00389152,0.000435411,0.001169073,0.03616216,0.02257293,0.001704354,0.2694317,0.6320696,0.0003494784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02103638,0.005344658,0.5558621,0.1278523,0.001653509,0.01239882,0.004233751,0.003371913,0.2682466],"genre_scores_gemma":[0.3074896,0.006228885,0.6278907,0.01988727,0.000661963,0.004281601,0.001709286,0.0003632883,0.03148739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4555852,"threshold_uncertainty_score":0.9058667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047820127412704,"score_gpt":0.3261856599981003,"score_spread":0.22140364725683,"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."}}