{"id":"W2078280415","doi":"10.1039/c3em00315a","title":"Exploring the potential influence of climate change and particulate organic carbon scenarios on the fate of neutral organic contaminants in the Arctic environment","year":2013,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Aboriginal Affairs and Northern Development Canada","keywords":"Environmental science; Particulates; Arctic; Particulate organic carbon; Total organic carbon; Carbon cycle; Carbon fibers; Climate change; Environmental chemistry; Pelagic zone; Food web; Oceanography; Ecosystem; Ecology; Chemistry; Phytoplankton; Nutrient; Geology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00102925,0.000789656,0.0004272443,0.0003449782,0.0005483601,0.00107677,0.0004441119,0.0008887237,0.0009883906],"category_scores_gemma":[0.001321788,0.0002413897,0.001048603,0.000380176,0.0003587149,0.0006691053,0.0005506872,0.000469569,0.00008125188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514861,"about_ca_system_score_gemma":0.001228392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04748788,"about_ca_topic_score_gemma":0.0281323,"domain_scores_codex":[0.9997074,0.0001609293,0.000009377306,0.00003269489,0.00003008365,0.00005948633],"domain_scores_gemma":[0.9994233,0.0003753679,0.00006253866,0.00002248263,0.00008159466,0.00003472058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001171832,0.00006367237,0.01021583,0.00002720016,0.0000630165,0.0001108058,0.00001971912,0.9857681,0.001822352,0.0006741424,0.00005374027,0.001064096],"study_design_scores_gemma":[0.00009336261,0.0004575706,0.01237175,0.00001402245,0.0001223486,0.00003409151,0.0001746367,0.980934,0.00391066,0.001276272,0.0005792752,0.00003210876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944257,0.0001003553,0.001821992,0.0001134702,0.0000128968,0.00001966299,0.0002169661,0.0000179772,0.003270967],"genre_scores_gemma":[0.9984352,0.0001448543,0.0007730019,0.0000245386,0.000005241987,0.00001662437,0.0001405307,0.000005869012,0.0004542257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04748788,"threshold_uncertainty_score":0.09442294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080462433309854,"score_gpt":0.1898751979767369,"score_spread":0.1690705736436383,"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."}}