{"id":"W2911137655","doi":"10.20944/preprints201901.0128.v1","title":"Conjunctivitis and Exposure to Ambient Ozone","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Akaike information criterion; Lag; Ozone; Goodness of fit; Medicine; Demography; Relative humidity; Statistics; Mathematics; Meteorology; Geography","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":[0.0006812334,0.000303774,0.0002800288,0.0006100124,0.0002820134,0.0006467067,0.0002237961,0.0003349006,0.001431684],"category_scores_gemma":[0.002742699,0.0002275423,0.0004355558,0.0009892503,0.0003905791,0.0002065508,0.0004751309,0.0003656676,0.0001579303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006952351,"about_ca_system_score_gemma":0.0008572952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05107138,"about_ca_topic_score_gemma":0.03845239,"domain_scores_codex":[0.9993299,0.0001814747,0.00003961231,0.0001113879,0.0001959147,0.0001416092],"domain_scores_gemma":[0.9985448,0.0003979851,0.0006549337,0.00009934893,0.0001549408,0.0001479011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001881192,0.00002866491,0.9971149,0.00002316751,0.00008161888,0.00007730121,0.00005264587,0.0001291994,0.0005559462,0.00002020454,0.00003463338,0.00169364],"study_design_scores_gemma":[0.000001733894,0.00004910305,0.99954,0.000003455172,0.00001758797,0.0001069452,0.00003513235,0.00008614394,0.00006017361,0.00001467884,0.00008364443,0.000001470237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998099,0.0008793708,0.000184846,0.00003021375,0.000004634887,0.000008130795,0.0002732516,0.000006361627,0.0005141899],"genre_scores_gemma":[0.9990897,0.0003025226,0.0001182646,0.00000920669,0.000007018122,0.000002899944,0.0002235196,0.000001800757,0.0002449938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05107138,"threshold_uncertainty_score":0.1015482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347187307781553,"score_gpt":0.357883563621144,"score_spread":0.2231648328429887,"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."}}