{"id":"W2314386505","doi":"10.1016/j.envint.2016.03.021","title":"Evaluation of air quality indicators in Alberta, Canada – An international perspective","year":2016,"lang":"en","type":"article","venue":"Environment International","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"NSW Office of Environment and Heritage","keywords":"Perspective (graphical); Air quality index; Quality (philosophy); Environmental planning; Environmental science; Environmental resource management; Geography; Environmental protection; Meteorology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001655673,0.0001071899,0.000112421,0.0001015385,0.00003339645,0.000004630027,0.0003721343,0.00005302931,0.01603234],"category_scores_gemma":[0.0003753958,0.00008794246,0.00002962947,0.00007932165,0.0001335571,0.0004558529,0.0001194933,0.00007808796,0.0001109922],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005100689,"about_ca_system_score_gemma":0.0001816418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5163075,"about_ca_topic_score_gemma":0.5209119,"domain_scores_codex":[0.9970032,0.0002715127,0.0003926309,0.0003118669,0.001840057,0.0001807159],"domain_scores_gemma":[0.9992977,0.0001305839,0.0002223823,0.0002104346,0.00001896537,0.0001199305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009050955,0.0005313084,0.9272587,0.000002359113,0.00006049405,0.000002082856,0.001887913,0.004681194,0.0007831969,0.01072063,0.001201724,0.05277991],"study_design_scores_gemma":[0.0008322236,0.00003712108,0.9726753,0.00001273884,0.000008021819,0.000001197002,0.0003277065,0.0009847663,0.0007905428,0.002598767,0.02160676,0.0001248084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520521,0.000005463612,0.0002697039,0.01417789,0.0003504936,0.0002023834,0.00008498636,0.000005212497,0.03285174],"genre_scores_gemma":[0.9981977,0.00002474124,0.0002667549,0.0007481744,0.00005788076,0.00002627105,0.00002540421,0.000007710497,0.0006453586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0526551,"threshold_uncertainty_score":0.9987186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04131898811406385,"score_gpt":0.3472931872611789,"score_spread":0.305974199147115,"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."}}