{"id":"W3176428016","doi":"","title":"Satellite and ground based assessment of the impact of Canadian fires on U.S. Air Quality","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Satellite; Environmental science; Air quality index; Meteorology; Remote sensing; Quality (philosophy); Quality assessment; Geography; Engineering; Evaluation methods","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":[0.0004753679,0.0004341336,0.0001898696,0.001104126,0.0008732674,0.0008281801,0.0005084041,0.0003617402,0.001545245],"category_scores_gemma":[0.001066444,0.0001438312,0.0003522733,0.001778707,0.0002290144,0.0003186976,0.0003579847,0.0003170983,0.0001801309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01242655,"about_ca_system_score_gemma":0.008933001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875309,"about_ca_topic_score_gemma":0.9941996,"domain_scores_codex":[0.9996774,0.00002483647,0.000009720221,0.00003931434,0.0001758728,0.00007279919],"domain_scores_gemma":[0.9991513,0.00006202776,0.00005620113,0.00002321451,0.0006232507,0.00008392035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008453296,0.0002912915,0.8921461,0.0001542869,0.0003625776,0.0001902159,0.0002304453,0.04687951,0.007240693,0.0006671248,0.00865043,0.04234194],"study_design_scores_gemma":[0.00002929657,0.0000445441,0.9733281,0.0000194112,0.00007506806,0.00001680229,0.0003923656,0.02333048,0.00102951,0.00006049527,0.001657651,0.00001633749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840336,0.000241392,0.0002367617,0.0002324836,0.00001949904,0.00003294861,0.008151122,0.00003519728,0.007017011],"genre_scores_gemma":[0.9948909,0.0001638373,0.0004405651,0.00004077241,0.000005550717,0.000007139172,0.003447355,0.000005351952,0.000998389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01246911,"threshold_uncertainty_score":0.09016126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110345098426937,"score_gpt":0.2637054400198421,"score_spread":0.2426019890355728,"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."}}