{"id":"W2096600374","doi":"10.1017/s0950268814002532","title":"Dose–response algorithms for water-borne<i>Pseudomonas aeruginosa</i>folliculitis","year":2014,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Folliculitis; Pseudomonas aeruginosa; Outbreak; Microbiology; Algorithm; Biology; Medicine; Dermatology; Bacteria; Pathology; Mathematics; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004462583,0.0001194325,0.0002208986,0.00003121157,0.0002394315,0.000008301468,0.00005101448,0.0001483262,0.0003219964],"category_scores_gemma":[0.001054854,0.00008570428,0.00006897396,0.00004960467,0.0002028438,0.0001667411,0.00005989934,0.0001012331,0.0002569555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006752933,"about_ca_system_score_gemma":0.000002446507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007371105,"about_ca_topic_score_gemma":0.00007921013,"domain_scores_codex":[0.9979706,0.001079159,0.0002815818,0.0003240968,0.00004762188,0.00029689],"domain_scores_gemma":[0.9986944,0.0009934593,0.00006493493,0.0001356133,0.00001054348,0.0001010243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001064954,0.0002418467,0.7196665,0.00006556029,0.00005734237,0.000002061442,0.0009892576,0.001020381,0.03283079,0.03076097,0.01540681,0.1978936],"study_design_scores_gemma":[0.0006443347,0.0003839061,0.8013514,0.000003835893,0.00001327572,0.00001538189,0.000004801252,0.00371872,0.004765115,0.02396305,0.164975,0.0001611511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8694422,0.00001242113,0.1245067,0.003935133,0.0003259762,0.0002102623,0.000004389767,0.00006630464,0.001496657],"genre_scores_gemma":[0.9962314,0.00001533448,0.0008406524,0.001765081,0.0001097327,0.00006732767,0.00002407721,0.000006935609,0.0009394698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1977324,"threshold_uncertainty_score":0.3525635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03738133690928537,"score_gpt":0.3048729130862255,"score_spread":0.2674915761769401,"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."}}