{"id":"W3203260454","doi":"10.1021/acsearthspacechem.1c00132","title":"Amount, Sources, and Dissolution of Aerosol Trace Elements in the Canadian Arctic","year":2021,"lang":"en","type":"article","venue":"ACS Earth and Space Chemistry","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arctic; Environmental science; Aerosol; Geotraces; Oceanography; Environmental chemistry; Dissolution; Seawater; Pollution; Sulfate; Atmospheric sciences; Geology; Chemistry; Meteorology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002877715,0.0005989798,0.0003987038,0.00200431,0.003588861,0.001358242,0.0007090521,0.0003441666,0.0007014049],"category_scores_gemma":[0.0005324064,0.0002948961,0.0003726922,0.002440448,0.0004789568,0.0002932551,0.0007287887,0.0003493242,0.0001467742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0168856,"about_ca_system_score_gemma":0.01448143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884005,"about_ca_topic_score_gemma":0.9945293,"domain_scores_codex":[0.9992994,0.00001239065,0.00002632791,0.0001436675,0.0003700446,0.0001481495],"domain_scores_gemma":[0.9992847,0.00001775131,0.00004582533,0.00001028886,0.000577515,0.00006389397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003034647,0.00005317406,0.9236987,0.0001772004,0.0001698293,0.000335581,0.002030548,0.00103343,0.04533502,0.0002406822,0.001558848,0.02506349],"study_design_scores_gemma":[0.00000571165,0.0000178483,0.9903361,0.00001962617,0.00003862369,0.00007054678,0.0009037932,0.0008062296,0.003984586,0.00002741935,0.003761827,0.00002768283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932138,0.0007730572,0.0002124219,0.0000760373,0.0000108414,0.00002169509,0.002869664,0.00001641545,0.002806128],"genre_scores_gemma":[0.9929718,0.0009389113,0.000870142,0.00008703046,0.00000652645,0.00001722327,0.002963835,0.00001694078,0.00212759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168856,"threshold_uncertainty_score":0.1225142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006767686636490497,"score_gpt":0.1878558207720537,"score_spread":0.1810881341355632,"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."}}