{"id":"W4239960205","doi":"10.5194/acpd-13-13967-2013","title":"Multi-year objective analyses of warm season ground-level ozone and PM <sub>2.5</sub> over North America using real-time observations and Canadian operational air quality models","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Environmental science; Mean squared error; Satellite; Consistency (knowledge bases); Outlier; Meteorology; Mathematics; Geography","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":[0.001278747,0.0010476,0.0003867124,0.001041954,0.0005491567,0.0007638086,0.0005693018,0.0003949243,0.0003926675],"category_scores_gemma":[0.001379414,0.0002663552,0.0006549023,0.001085903,0.0003168665,0.0004135051,0.0004705395,0.0003844762,0.00008253226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868569,"about_ca_system_score_gemma":0.001932571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7498418,"about_ca_topic_score_gemma":0.8596435,"domain_scores_codex":[0.9995459,0.00006578741,0.00002570206,0.0001297694,0.0001400159,0.00009283353],"domain_scores_gemma":[0.9989531,0.0001918014,0.0001833382,0.00009995113,0.0004677591,0.0001040052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007150174,0.0006054242,0.6615247,0.0002088865,0.001310501,0.0003302589,0.0003680099,0.2631119,0.01310442,0.0003640414,0.003156383,0.05520052],"study_design_scores_gemma":[0.00002559952,0.00006932513,0.8330061,0.00001155022,0.0001113078,0.00002216709,0.0001850743,0.1622933,0.003025134,0.00007592855,0.001121053,0.00005342149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944134,0.0001250881,0.002559277,0.00003242005,0.00001058696,0.0000284101,0.002083422,0.0000984004,0.0006490662],"genre_scores_gemma":[0.98993,0.00006774067,0.004980474,0.00001831579,0.00001199877,0.00002568002,0.004457174,0.00002347516,0.0004851627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2501582,"threshold_uncertainty_score":0.5032628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063943483899226,"score_gpt":0.2894427726422981,"score_spread":0.1830484242523754,"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."}}