{"id":"W2989560494","doi":"10.1016/j.marpolbul.2019.110629","title":"Effect of dissolution, evaporation, and photooxidation on crude oil chemical composition, dielectric properties and its radar signature in the Arctic environment.","year":2019,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Research Manitoba; Genome Canada","keywords":"Asphaltene; Dissolution; Weathering; Permittivity; Petroleum; Asphalt; Environmental science; Arctic; Environmental chemistry; Mineralogy; Geology; Chemistry; Materials science; Dielectric; Oceanography; Geochemistry; Organic chemistry; Composite material","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":[0.0001577159,0.000176503,0.0001048531,0.0001087085,0.0002614222,0.0002277328,0.0001029371,0.0001360597,0.0008314062],"category_scores_gemma":[0.0003100079,0.00009233013,0.0001531661,0.0001425343,0.000184753,0.0001808261,0.0001172182,0.0002321386,0.0002031074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941461,"about_ca_system_score_gemma":0.0003285667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159253,"about_ca_topic_score_gemma":0.01555214,"domain_scores_codex":[0.999923,0.0000111415,0.000003020447,0.00001753506,0.00002069243,0.00002455521],"domain_scores_gemma":[0.9998806,0.000040105,0.000018834,0.000008387727,0.00003766094,0.00001444865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003063142,0.0001234143,0.029926,0.000118917,0.00009611591,0.0001957385,0.0001792668,0.001714887,0.9424726,0.0002006993,0.0004643121,0.02144499],"study_design_scores_gemma":[0.00001500094,0.0003819408,0.1630568,0.000009006361,0.00005998263,0.0001817113,0.0002345405,0.003313512,0.8307126,0.00006475632,0.001952115,0.00001803508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970969,0.0006906413,0.0005299345,0.00001978524,0.00001543246,0.000006906486,0.00026782,0.00001088648,0.001361615],"genre_scores_gemma":[0.9976133,0.0006114686,0.0004138341,0.00001962029,0.000004984185,0.000005466164,0.0002726908,0.000009335585,0.00104922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0159253,"threshold_uncertainty_score":0.03166521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003687206467707683,"score_gpt":0.1745609562434368,"score_spread":0.1708737497757291,"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."}}