{"id":"W1520434679","doi":"10.1029/2012eo220013","title":"Developing air quality forecasts","year":2012,"lang":"en","type":"article","venue":"Eos","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Human health; Environmental science; Particulates; Meteorology; Steering committee; Air monitoring; Quality (philosophy); Aeronautics; Political science; Operations research; Geography; Engineering; Environmental health; Engineering management; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007587328,0.001378236,0.00070938,0.003249971,0.001138479,0.006148078,0.002050745,0.0013166,0.01809531],"category_scores_gemma":[0.01376778,0.0008514848,0.0008789896,0.00183681,0.0005232191,0.003812161,0.003430981,0.002801066,0.006306898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003493387,"about_ca_system_score_gemma":0.008206436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03066715,"about_ca_topic_score_gemma":0.02651489,"domain_scores_codex":[0.9979367,0.0006628316,0.0001697049,0.0004418532,0.0006426314,0.0001462579],"domain_scores_gemma":[0.9946138,0.0007731848,0.0002051712,0.0004411587,0.003642957,0.0003237291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008587896,0.0001298789,0.003780493,0.0002721815,0.00007086099,0.00009630039,0.000407375,0.0444915,0.001535849,0.03920825,0.3361399,0.5737815],"study_design_scores_gemma":[0.00004417013,0.0001027038,0.003791631,0.001158804,0.00007241673,0.00004359662,0.001178418,0.08762098,0.004451962,0.03755079,0.8639042,0.00008027384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02455749,0.0309434,0.5983781,0.1172435,0.02072952,0.001439256,0.01759333,0.006071606,0.1830439],"genre_scores_gemma":[0.2232622,0.03542675,0.5712204,0.002703071,0.003306203,0.001063892,0.02786606,0.001242971,0.1339083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03066715,"threshold_uncertainty_score":0.06097728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09713917202449035,"score_gpt":0.3334165532235719,"score_spread":0.2362773811990815,"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."}}