{"id":"W3152564382","doi":"10.3390/atmos12040490","title":"Interaction of Air Pollution with Snow and Seasonality Effects","year":2021,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Snow; Environmental science; Seasonality; Pollutant; Air pollution; Atmospheric sciences; Pollution; Air pollutants; Abundance (ecology); Meteorology; Geography; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0000481194,0.00007580776,0.0001115231,1.172034e-7,0.00005490541,0.00001196846,0.00003579474,0.0000411086,0.0009725344],"category_scores_gemma":[0.00003522066,0.00005928957,0.00002318549,0.0001194536,0.00005868157,0.0001304753,0.000007000647,0.00007155336,0.00001016948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002828447,"about_ca_system_score_gemma":0.00004353865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003533252,"about_ca_topic_score_gemma":0.0004864192,"domain_scores_codex":[0.9995135,0.00003344097,0.00008249496,0.0001587137,0.0001073564,0.0001044685],"domain_scores_gemma":[0.9996539,0.00009047808,0.00005448496,0.0001041179,0.00003590939,0.00006111738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001293202,0.00003989872,0.9268358,0.0002132068,0.00005914627,0.00006370344,0.0001520522,0.004062888,0.001823045,0.00006586959,0.0004570431,0.06609803],"study_design_scores_gemma":[0.0003665609,0.0001013086,0.9592533,0.0001227413,0.00002623501,0.00008071272,0.0003794314,0.001178664,0.03609044,0.0001505385,0.00212693,0.0001231668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926783,0.0006418015,0.0002831886,0.0002312241,0.00006591321,0.0000451293,0.000008925718,0.00001725889,0.006028283],"genre_scores_gemma":[0.9969835,0.00003211218,0.002292084,0.0001439571,0.00004205003,4.451165e-7,0.00003230777,0.000001771848,0.0004718101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06597486,"threshold_uncertainty_score":0.9999407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006438117239997688,"score_gpt":0.2034078374863921,"score_spread":0.1969697202463944,"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."}}