{"id":"W4256435212","doi":"10.32920/ryerson.14650044.v1","title":"Environmental stress effects on illness in Southern Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Brock University","funders":"","keywords":"Windsor; Air pollution; Geography; Environmental science; Environmental health; Medicine; Ecology","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":[0.0000961753,0.0001550615,0.0001778518,0.0004203001,0.001561551,0.0005290703,0.0001908534,0.0001350638,0.001622783],"category_scores_gemma":[0.0004578247,0.0001513369,0.0001970379,0.001242834,0.0004128243,0.0001228264,0.0004919241,0.0001662638,0.0001255401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01127746,"about_ca_system_score_gemma":0.008522529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9821429,"about_ca_topic_score_gemma":0.9936659,"domain_scores_codex":[0.9998558,0.00001253697,0.000005168736,0.00001867451,0.00004083871,0.00006699423],"domain_scores_gemma":[0.9996468,0.00001572165,0.00008125395,0.000009160976,0.0001153754,0.000131703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001811489,0.00002258228,0.9891616,0.00002487571,0.0000334875,0.0002993091,0.00334692,0.0002476712,0.001410609,0.00007807855,0.001001527,0.004192188],"study_design_scores_gemma":[0.000001575494,0.000008550024,0.9984156,0.000002988702,0.000002628039,0.00001392346,0.00105743,0.00004090148,0.0000220591,0.000008047899,0.0004241975,0.000002106487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976683,0.0001078607,0.00002147879,0.0001030735,0.000003058214,0.000006925631,0.0006964155,0.000002748292,0.00139005],"genre_scores_gemma":[0.9982502,0.0001557134,0.00002905228,0.00001775802,0.000002931539,0.000005843677,0.0004916624,0.000001375756,0.001045373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785713,"threshold_uncertainty_score":0.08182412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086374722259975,"score_gpt":0.2610876683456611,"score_spread":0.2402239211230613,"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."}}