{"id":"W4223904827","doi":"10.1016/j.envpol.2022.119247","title":"Hydrocarbon bioremediation on Arctic shorelines: Historic perspective and roadway to the future","year":2022,"lang":"en","type":"review","venue":"Environmental Pollution","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Fisheries and Oceans Canada","keywords":"Bioremediation; Arctic; Shore; Environmental science; Archipelago; Climate change; Global warming; Permafrost; Oceanography; Physical geography; Ecology; Geography; Geology; Contamination; Biology","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":[0.000778712,0.0009725193,0.001613746,0.002622825,0.000245843,0.001679984,0.0006659444,0.001132548,0.003466437],"category_scores_gemma":[0.0007314804,0.0002866698,0.0005769215,0.004393337,0.0004974043,0.001354633,0.0007104946,0.001198427,0.001162499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008112507,"about_ca_system_score_gemma":0.002165653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005046286,"about_ca_topic_score_gemma":0.01426819,"domain_scores_codex":[0.9997988,0.00003182429,0.00002596855,0.00004121739,0.00007350143,0.00002864326],"domain_scores_gemma":[0.9995409,0.0001768248,0.0000941496,0.00001153607,0.0001339732,0.00004262223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005739176,0.0000445072,0.0002943791,0.03233193,0.0001316623,0.0001606958,0.00008496418,0.0006223219,0.001360937,0.004128329,0.02081346,0.9399695],"study_design_scores_gemma":[0.00000963037,0.00009501463,0.001292979,0.008801697,0.0002268871,0.0006199125,0.0001483095,0.0001280985,0.0004995001,0.001538135,0.9866176,0.00002221532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008492749,0.9992182,0.00003332473,0.0001333567,0.00008284528,9.989006e-7,0.00001501108,0.000001879798,0.000429451],"genre_scores_gemma":[0.0003722506,0.9992964,0.0000348473,0.00005915425,0.00004544116,8.276764e-7,0.00001163493,4.247102e-7,0.0001789374],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005046286,"threshold_uncertainty_score":0.01159638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00969279505742333,"score_gpt":0.2253275715878981,"score_spread":0.2156347765304747,"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."}}