{"id":"W2094055970","doi":"10.1051/e3sconf/20130123003","title":"A First Assessment of the Elemental Composition of Atmospheric Aerosols in the Canadian Oil Sands Region","year":2013,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Oil sands; Environmental science; Asphalt; Air quality index; Particulates; Air pollution; Pollution; Taiga; Wetland; Environmental protection; Crude oil; Environmental engineering; Hydrology (agriculture); Geography; Archaeology; Geology; Meteorology; Forestry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003264246,0.0005246701,0.0002752012,0.001416062,0.003287424,0.0007103839,0.0006143537,0.0004346154,0.0005358832],"category_scores_gemma":[0.0003143166,0.000207878,0.0003233983,0.001315311,0.0003790831,0.0001961333,0.0004924958,0.0003021352,0.0001688391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007038749,"about_ca_system_score_gemma":0.008506263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9631989,"about_ca_topic_score_gemma":0.9868734,"domain_scores_codex":[0.9992905,0.00001995885,0.00001626239,0.00008325084,0.0004688502,0.0001211376],"domain_scores_gemma":[0.9994673,0.00001373196,0.00002811142,0.00001226785,0.0004085632,0.00007005635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004349393,0.0003008716,0.818279,0.000191096,0.0001700866,0.0009225289,0.003409035,0.001209558,0.1181187,0.0002609227,0.002842512,0.05386079],"study_design_scores_gemma":[0.000003771855,0.00009345965,0.9893551,0.00001218769,0.00002062633,0.00007345463,0.0008061042,0.0003828921,0.005415105,0.00001540684,0.003807986,0.00001389883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908924,0.0003627242,0.0004609279,0.00004360792,0.000006484559,0.0001128173,0.002030986,0.00001759067,0.006072429],"genre_scores_gemma":[0.99163,0.0005386767,0.002336722,0.0001087882,0.000006806827,0.00004383284,0.002325238,0.000009360413,0.00300051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0368011,"threshold_uncertainty_score":0.07403558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419185190843874,"score_gpt":0.2269617027319186,"score_spread":0.2127698508234799,"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."}}