{"id":"W26500222","doi":"10.1177/0960327115611971","title":"What do we learn from EC (black carbon), OC and their Isotope Measurements in Fine Airborne PM over Canada?","year":2009,"lang":"en","type":"article","venue":"Human & Experimental Toxicology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soot; Carbon black; Environmental science; Radiative forcing; Particulates; Atmosphere (unit); Combustion; Carbon fibers; Aerosol; Environmental chemistry; Pollutant; Atmospheric sciences; Air pollution; Isotopes of carbon; Fossil fuel; Total organic carbon; Biomass burning; Meteorology; Chemistry; Geography; Geology","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":[0.004239423,0.0004612935,0.001085976,0.001543426,0.001110772,0.003034272,0.001531436,0.003328945,0.003642387],"category_scores_gemma":[0.01057042,0.0004293437,0.001024953,0.001652306,0.002237205,0.003001594,0.001063812,0.00223576,0.0008858433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003954795,"about_ca_system_score_gemma":0.006024452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3119513,"about_ca_topic_score_gemma":0.4750175,"domain_scores_codex":[0.9974599,0.0003945918,0.0002703604,0.0006354263,0.0007299489,0.0005097527],"domain_scores_gemma":[0.9935383,0.001658236,0.001006482,0.0003434075,0.002800893,0.0006526718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000266587,0.00006076159,0.9093205,0.0006078252,0.0004264889,0.0009613404,0.002833311,0.0001532841,0.0007196866,0.0003977976,0.00685419,0.07739814],"study_design_scores_gemma":[0.00001130159,0.0001271622,0.9607068,0.0009359666,0.0002909261,0.002316325,0.01214944,0.0004315981,0.0003020843,0.001048709,0.02161267,0.00006714044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7185,0.19573,0.001572411,0.07001908,0.0025504,0.0000384311,0.002025069,0.00006569956,0.009498944],"genre_scores_gemma":[0.9273985,0.05319745,0.00113182,0.01024587,0.003451178,0.00002135322,0.0009430127,0.00004355375,0.003567129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6880487,"threshold_uncertainty_score":0.6202711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673208012279538,"score_gpt":0.2447255114733057,"score_spread":0.2179934313505103,"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."}}