{"id":"W4239118675","doi":"10.7287/peerj.preprints.1904","title":"A time-series analysis of relevant pollutants in Hamilton (Ontario) and induced mortality","year":2016,"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":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Time series; Series (stratigraphy); Scale (ratio); Geography; Regression analysis; Public health; Multilevel model; Construct (python library); Regional science; Econometrics; Environmental science; Environmental health; Statistics; Cartography; Computer science; Mathematics; Medicine","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":[0.0005804642,0.0002231917,0.000264191,0.0006528912,0.0005966671,0.0005043903,0.0006556889,0.0003206616,0.00167394],"category_scores_gemma":[0.002622581,0.0001153397,0.0005678683,0.001979035,0.0003754692,0.0001944578,0.0004659746,0.0002883625,0.000125747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007835204,"about_ca_system_score_gemma":0.008556712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9607698,"about_ca_topic_score_gemma":0.9579569,"domain_scores_codex":[0.9996445,0.00007409127,0.00001850266,0.0000707193,0.000102486,0.00008976868],"domain_scores_gemma":[0.9989929,0.0002694642,0.0001886989,0.00007897808,0.0003395449,0.0001303704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004691204,0.0001318229,0.9485555,0.0001083609,0.0004959307,0.0005824987,0.0008565205,0.02006432,0.002110294,0.004298754,0.005000509,0.0173264],"study_design_scores_gemma":[0.00002821558,0.00006807335,0.9792501,0.00001024715,0.0001243047,0.0000330503,0.0004953439,0.01587687,0.0002990196,0.0004774716,0.003318326,0.00001899174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901455,0.0002810662,0.001742473,0.0006455574,0.00002189892,0.00006750994,0.005206423,0.00002496572,0.001864494],"genre_scores_gemma":[0.9926739,0.0002189468,0.0006465297,0.00004571238,0.00001367079,0.00003172679,0.003207126,0.00000500973,0.003157286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03923017,"threshold_uncertainty_score":0.07892233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05492236637989217,"score_gpt":0.3205095331007088,"score_spread":0.2655871667208167,"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."}}