{"id":"W2789688777","doi":"10.3390/sinusitis3010002","title":"Prevalence and Determinants of Sinus Problems in Farm and Non-Farm Populations of Rural Saskatchewan, Canada","year":2018,"lang":"en","type":"article","venue":"Sinusitis","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal University Hospital; Saskatchewan Health; University of Alberta; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Logistic regression; Medicine; Sinus (botany); Agriculture; Environmental health; Asthma; Socioeconomic status; Demography; Geography; Internal medicine; Population; Biology","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":[0.0004135404,0.0002727822,0.000266243,0.001067458,0.001714948,0.0008367546,0.0007738085,0.0003098755,0.001544827],"category_scores_gemma":[0.001176708,0.0003243112,0.000270275,0.002224664,0.0007334659,0.0003018818,0.0007601076,0.000440533,0.0001809013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007578546,"about_ca_system_score_gemma":0.01032618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.975748,"about_ca_topic_score_gemma":0.9878997,"domain_scores_codex":[0.9994942,0.00006251674,0.00004135499,0.00009820427,0.0001454463,0.0001582788],"domain_scores_gemma":[0.9987436,0.000123075,0.0002972731,0.00004957509,0.0004043658,0.0003822227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002261562,0.0000250744,0.9971784,0.00001801679,0.00001909553,0.00009913317,0.0005867434,0.00004422749,0.0003251642,0.00002788015,0.0002303904,0.001423261],"study_design_scores_gemma":[0.000002738972,0.0000150796,0.9982051,0.00001066936,0.000004923463,0.00005056919,0.001457838,0.0001009645,0.00001897866,0.00001024268,0.0001191569,0.000003831118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985795,0.0001591274,0.00004391397,0.000083896,0.000003267636,0.00001774616,0.0005707249,0.000002439343,0.0005395029],"genre_scores_gemma":[0.9988826,0.0002576121,0.00008442261,0.0000403876,0.000002063038,0.00001266598,0.0003468696,0.000001583812,0.0003718589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.024252,"threshold_uncertainty_score":0.05498648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009254408266782171,"score_gpt":0.2250412826080586,"score_spread":0.2157868743412765,"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."}}