{"id":"W4285119192","doi":"10.2139/ssrn.4110945","title":"Characterization of Winter Air Pollutant Gradients Near a Major Highway","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Pollutant; Environmental science; Characterization (materials science); Geography; Atmospheric sciences; Geology; Ecology; Materials science; Biology; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001109298,0.0001772868,0.0002966801,0.0007897351,0.0005185444,0.0005320939,0.0002969817,0.0003282505,0.0005650214],"category_scores_gemma":[0.0001825131,0.0001191201,0.0001809406,0.0006538916,0.0001644675,0.0002143583,0.0002692375,0.0001598023,0.0001862714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187822,"about_ca_system_score_gemma":0.0004980431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.045977,"about_ca_topic_score_gemma":0.06574365,"domain_scores_codex":[0.9999062,0.000008874196,0.000005046345,0.00003006325,0.00001954491,0.00003037139],"domain_scores_gemma":[0.99981,0.00002654245,0.00003953863,0.00001238517,0.00006991575,0.00004152846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004588402,0.000140767,0.9425387,0.00002357475,0.00008003845,0.0001619434,0.0003469891,0.001898875,0.04652048,0.0001134517,0.0003630507,0.007353229],"study_design_scores_gemma":[0.00000403288,0.00004743796,0.9956619,0.000001858008,0.00001494801,0.00003319545,0.0002980684,0.002169415,0.001443473,0.00001827292,0.0003033408,0.000004112504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992274,0.00001362653,0.00009557962,0.000006610623,0.000001583149,0.000002563191,0.0002577236,0.00001097611,0.0003839326],"genre_scores_gemma":[0.9989287,0.0000164789,0.0001582417,0.000004428702,0.000003488768,0.000004115905,0.0005577203,0.000004098326,0.0003226593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.045977,"threshold_uncertainty_score":0.09141874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004582681665196972,"score_gpt":0.1805314175122107,"score_spread":0.1759487358470138,"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."}}