{"id":"W4408310413","doi":"10.1016/j.scitotenv.2025.178885","title":"Spatiotemporal trends of aerosol provenance and trace metal concentrations in the northeast subarctic Pacific Ocean","year":2025,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria; Pacific Institute for the Mathematical Sciences; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subarctic climate; Provenance; TRACE (psycholinguistics); Oceanography; Trace metal; Pacific ocean; Environmental science; Aerosol; Geology; Geography; Metal; Geochemistry; Meteorology; Chemistry","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":[0.0002261942,0.000217425,0.0001467388,0.0007040791,0.0003158862,0.0004791664,0.0002032494,0.0001933267,0.0004595759],"category_scores_gemma":[0.000389937,0.0001324645,0.0001952163,0.001072075,0.0002225939,0.0002246377,0.0003917326,0.0002295774,0.0001204288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924271,"about_ca_system_score_gemma":0.0004304771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09586698,"about_ca_topic_score_gemma":0.1229583,"domain_scores_codex":[0.9999098,0.00001029511,0.00000960452,0.00003241844,0.00001824719,0.000019677],"domain_scores_gemma":[0.9994984,0.00003813484,0.0002265567,0.00003121865,0.0001391411,0.0000665761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003193689,0.000008307545,0.9958857,0.00001405213,0.00003376501,0.0001072023,0.000277519,0.00007935183,0.001800122,0.00001284774,0.000100407,0.001648817],"study_design_scores_gemma":[4.254683e-7,0.000003148778,0.9996482,0.000001971043,0.0000048049,0.00001565051,0.0001233337,0.00003908209,0.0000666514,0.000001486863,0.00009454599,7.829403e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990978,0.0001050797,0.00003046942,0.00002184859,0.000003150582,0.000002390221,0.0004546624,0.000004485521,0.0002802883],"genre_scores_gemma":[0.9983255,0.000249938,0.0001415128,0.00001964693,0.000008653205,0.000009678201,0.0009495969,0.000003109333,0.0002922794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09586698,"threshold_uncertainty_score":0.1906179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007161507942156748,"score_gpt":0.1901321506268591,"score_spread":0.1829706426847024,"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."}}