{"id":"W4388101287","doi":"10.3390/atmos14111630","title":"The Michigan–Ontario Ozone Source Experiment (MOOSE): An Overview","year":2023,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of the Environment, Conservation and Parks","funders":"Environment and Climate Change Canada; U.S. Department of Energy; U.S. Forest Service; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Air quality index; Environmental science; Ozone; Emission inventory; Air pollution; Meteorology; Atmospheric sciences; Geography","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":[0.002924744,0.001051487,0.0006211956,0.001937528,0.001586829,0.00147222,0.001488097,0.000709261,0.001610802],"category_scores_gemma":[0.0008616344,0.0004729588,0.0006076895,0.004231728,0.0006569501,0.0007742304,0.001846426,0.0006385531,0.0005270588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007926174,"about_ca_system_score_gemma":0.01143873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7142786,"about_ca_topic_score_gemma":0.8203146,"domain_scores_codex":[0.9984005,0.0002616384,0.00006710823,0.0002210121,0.000827065,0.0002227015],"domain_scores_gemma":[0.9990859,0.00005230845,0.0001052058,0.0001235065,0.0004586665,0.0001744571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003286464,0.002329577,0.4295275,0.004440026,0.001271858,0.0006110876,0.001004262,0.01130891,0.04223315,0.01603411,0.1823331,0.30562],"study_design_scores_gemma":[0.0003110576,0.0008858367,0.5430959,0.0003562905,0.0002797612,0.0001455987,0.0004006545,0.003105037,0.005253943,0.00162803,0.4443772,0.0001606257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3287776,0.1018229,0.04364603,0.008463527,0.0009301112,0.01582438,0.3181786,0.002566698,0.1797902],"genre_scores_gemma":[0.4301642,0.09825265,0.1050093,0.002623959,0.001011239,0.00994471,0.3114725,0.0006061171,0.04091546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7142786,"threshold_uncertainty_score":0.574808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916539644127906,"score_gpt":0.2469028790202451,"score_spread":0.2177374825789661,"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."}}