{"id":"W2989700520","doi":"10.1289/isesisee.2018.p03.1560","title":"Development, Application and Evaluation of Risk of Bias Criteria for Case-Crossover and Time-Series Studies of Air Pollution and Health","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"","keywords":"Systematic review; Context (archaeology); Operationalization; Generalizability theory; Risk assessment; Confounding; Meta-analysis; Publication bias; Observational study; Risk analysis (engineering); Medicine; Environmental health; Computer science; MEDLINE; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095763,0.00007695184,0.0002007259,0.00002769845,0.0001425951,0.000006449477,0.00002979846,0.00004577652,0.00002768072],"category_scores_gemma":[0.0003170195,0.0000694092,0.000008032455,0.00005084519,0.0005453002,0.0002283461,0.00004529159,0.00002961399,0.000001910496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004398546,"about_ca_system_score_gemma":0.00009547772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006770989,"about_ca_topic_score_gemma":0.001431518,"domain_scores_codex":[0.9990988,0.00006825366,0.0003772884,0.0001601151,0.0001728587,0.0001226546],"domain_scores_gemma":[0.9991292,0.0001062571,0.0004787986,0.00009410455,0.0001224233,0.00006916043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001039596,0.0004346835,0.05157052,0.003264982,0.0001929082,0.000001129634,0.130613,0.001048016,0.03947197,0.002551364,0.003051215,0.7667606],"study_design_scores_gemma":[0.000542264,0.0002430271,0.9841594,0.00007991071,0.0000299106,0.00001044532,0.001292165,0.0006058969,0.009557087,0.003025189,0.0003812295,0.00007347479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982927,0.0002352293,0.0004000872,0.0004361853,0.00001808315,0.0004493017,0.00005547498,0.000004724282,0.0001082527],"genre_scores_gemma":[0.993666,0.0002184536,0.005972934,0.00009730129,0.00001079246,0.00001421257,0.000006017347,0.000003482575,0.00001080694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9325889,"threshold_uncertainty_score":0.2830425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2380921272551049,"score_gpt":0.4333721499279119,"score_spread":0.195280022672807,"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."}}