{"id":"W2145006234","doi":"10.1017/s0950268813000770","title":"Assessing multiple foodborne, waterborne and environmental exposures of healthy people to potential enteric pathogen sources: effect of age, gender, season, and recall period","year":2013,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Public Health Agency of Canada","funders":"University of Waterloo; Public Health Agency; Public Health Agency of Canada","keywords":"Environmental health; Recall; Recall bias; Telephone survey; Medicine; Exposure assessment; Winter season; Demography; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001341568,0.0001672529,0.00078725,0.0001240144,0.0001020935,0.000008103171,0.00002857473,0.0001730273,0.00004682382],"category_scores_gemma":[0.001377895,0.0001274011,0.00007131363,0.00005134026,0.0002488254,0.0001473289,0.000105803,0.0001989786,0.000002636479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000235857,"about_ca_system_score_gemma":0.000009959494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008498892,"about_ca_topic_score_gemma":0.00005488827,"domain_scores_codex":[0.9974265,0.0012748,0.0005049364,0.0003462003,0.00006606834,0.0003814879],"domain_scores_gemma":[0.9991071,0.0002995307,0.000166254,0.0001248044,0.00002218522,0.0002800924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005345741,0.00005842581,0.8962369,0.0003226179,0.00005828384,0.000004530998,0.0002148657,0.00001497904,0.09031515,0.000002944221,0.000173737,0.01206302],"study_design_scores_gemma":[0.00146879,0.005666965,0.9902586,0.00005885064,0.00004463828,0.0002474515,0.0001046569,0.00116664,0.0007183778,0.00008450504,0.0001054179,0.00007508424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950554,0.001491308,0.002131323,0.0006480355,0.0000862875,0.000536711,0.00001411181,0.00001603837,0.00002077519],"genre_scores_gemma":[0.9964767,0.001820701,0.001098292,0.0003682034,0.00007627019,0.00006088234,0.00007483285,0.0000124215,0.0000117024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09402175,"threshold_uncertainty_score":0.5195268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871650544429612,"score_gpt":0.313548692995998,"score_spread":0.2848321875517019,"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."}}