{"id":"W1979718675","doi":"10.1542/peds.2004-2012","title":"Coarse Particulate Matter and Hospitalization for Respiratory Infections in Children Younger Than 15 Years in Toronto: A Case-Crossover Analysis","year":2005,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Interquartile range; Particulates; Confidence interval; Odds ratio; Nitrogen dioxide; Air pollution; Ozone; Respiratory system; Environmental health; Pollutant; Pediatrics; Internal medicine; Meteorology; Chemistry","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":[0.001040734,0.0005856976,0.0006716912,0.0006854302,0.0009259061,0.0006797739,0.0005660987,0.0006495193,0.00189277],"category_scores_gemma":[0.002361853,0.0005364026,0.001505556,0.0009355753,0.0006057674,0.0002619789,0.0004185674,0.0005828531,0.0001227695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075574,"about_ca_system_score_gemma":0.001496475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2234647,"about_ca_topic_score_gemma":0.1907438,"domain_scores_codex":[0.9987667,0.0003313545,0.00009432911,0.000343101,0.000229226,0.0002354761],"domain_scores_gemma":[0.998111,0.0003474469,0.0008579741,0.0002248398,0.0001552985,0.0003034644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009677003,0.0001038874,0.9962177,0.00003870135,0.0004530881,0.0004172652,0.0003252003,0.00008019167,0.0003680046,0.00002196085,0.0001066732,0.0008997913],"study_design_scores_gemma":[0.00007826661,0.0005481627,0.9982768,0.00001477583,0.000179246,0.00029591,0.0002115888,0.0002014064,0.00004992547,0.000009622629,0.000127987,0.000006414676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992929,0.0003034476,0.00006166864,0.00001956456,0.000008220784,0.00002023579,0.0001975856,0.000002084216,0.00009430484],"genre_scores_gemma":[0.9993891,0.0001360109,0.00008232375,0.00001295942,0.000008949262,0.00001604881,0.0002466278,0.000001053572,0.0001069951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7765353,"threshold_uncertainty_score":0.4443279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342345301065324,"score_gpt":0.2986135641310212,"score_spread":0.285190111120368,"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."}}