{"id":"W2742400067","doi":"","title":"Long-path Measurements of Pollutants and Micrometeorology over Highway 401 in Toronto","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Pollutant; Path (computing); Meteorology; Geography; Computer science; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001493577,0.0001478501,0.0002202694,0.00002679983,0.0000457482,0.0000158617,0.0001561243,0.0001078116,0.00001633678],"category_scores_gemma":[0.0004415119,0.0001439735,0.00002620507,0.00008918435,0.0001166932,0.000201548,0.0001462577,0.000119328,0.00002626703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347835,"about_ca_system_score_gemma":0.00001541697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07911306,"about_ca_topic_score_gemma":0.02730588,"domain_scores_codex":[0.9984613,0.0000971488,0.0004088587,0.0003057714,0.0003698991,0.0003569986],"domain_scores_gemma":[0.999341,0.0000913644,0.0002095543,0.0001764519,0.00001406725,0.0001676043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003444928,0.000078599,0.9783762,0.00001516227,0.000008953346,0.00001343497,0.001159918,0.0007266685,0.01359547,0.000001452688,0.00008320689,0.005906526],"study_design_scores_gemma":[0.000590544,0.0001093218,0.9939931,0.00009321659,0.000009689514,0.000009231982,0.000281025,0.00009493399,0.004504095,0.00006030435,0.0000928108,0.0001617424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816113,0.0002663394,0.000004291036,0.00004071537,0.0002291309,0.00009502776,0.000004038448,0.00002836729,0.01772087],"genre_scores_gemma":[0.9979875,0.000008164345,0.001797235,0.00004074053,0.00005153757,0.00000303245,0.000001279052,0.00001463154,0.00009584666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05180718,"threshold_uncertainty_score":0.9904432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776555307544637,"score_gpt":0.2795213030473972,"score_spread":0.2317557499719508,"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."}}