{"id":"W2024111800","doi":"10.1111/j.1863-2378.2008.01193.x","title":"A Multi‐Level Approach for Investigating Socio‐Economic and Agricultural Risk Factors Associated with Rates of Reported Cases of <i>Escherichia coli</i> O157 in Humans in Alberta, Canada","year":2009,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Provincial Laboratory of Public Health; Alberta Health; University of Guelph","funders":"Canadian Institutes of Health Research; Wellcome Trust","keywords":"Overdispersion; Negative binomial distribution; Demography; Socioeconomic status; Agriculture; Population; Poisson regression; Statistical significance; Environmental health; Geography; Poisson distribution; Medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003096801,0.0003162825,0.000469237,0.00257111,0.0008472715,0.0007774082,0.000868873,0.0003920755,0.001019175],"category_scores_gemma":[0.006497657,0.0003264022,0.001082222,0.002395444,0.0004688234,0.0002523549,0.00086224,0.0005147475,0.00006271439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006199062,"about_ca_system_score_gemma":0.004880246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8505963,"about_ca_topic_score_gemma":0.8433448,"domain_scores_codex":[0.9979668,0.001024573,0.00009895613,0.0001950048,0.0004722707,0.00024234],"domain_scores_gemma":[0.9964792,0.001867621,0.0006353835,0.0002184204,0.0005443212,0.0002551042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001840889,0.00004111345,0.9851165,0.00004773284,0.000558657,0.00007466362,0.0002063811,0.004813225,0.000422308,0.0003157571,0.0001790698,0.008040527],"study_design_scores_gemma":[0.00001336722,0.000149396,0.970836,0.00002052465,0.000231849,0.0000885865,0.0005342142,0.02728265,0.0001780705,0.0002858508,0.000360962,0.00001847383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904202,0.0006459095,0.007077068,0.0002250423,0.000009820599,0.00009442492,0.0008425244,0.00004735411,0.0006376409],"genre_scores_gemma":[0.991983,0.000149274,0.007012587,0.00003246473,0.000004382969,0.00004990534,0.0002861861,0.000005111637,0.0004771168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1494037,"threshold_uncertainty_score":0.3005671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07039831274423147,"score_gpt":0.3049866921994082,"score_spread":0.2345883794551767,"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."}}