{"id":"W2900234845","doi":"10.1016/bs.amb.2018.09.002","title":"Fate and Transport Modelling of Emerging Pollutants from Watersheds to Oceans: A Review","year":2018,"lang":"en","type":"review","venue":"Advances in marine biology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pollutant; TRACE (psycholinguistics); Reliability (semiconductor); Field (mathematics); Environmental science; Identification (biology); Scale (ratio); Sampling (signal processing); Calibration; Biochemical engineering; Computer science; Ecology; Engineering; Geography; Statistics; Mathematics; Biology; Cartography","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":[0.001128945,0.001371796,0.00195355,0.001579425,0.0002594572,0.001580116,0.001791474,0.001518168,0.001709611],"category_scores_gemma":[0.001848576,0.000404815,0.001231807,0.002441963,0.0004119568,0.001881175,0.0008621587,0.0009462124,0.000643329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006228948,"about_ca_system_score_gemma":0.002274786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005558912,"about_ca_topic_score_gemma":0.005134662,"domain_scores_codex":[0.9996349,0.00004644053,0.00005084565,0.0000916636,0.0001499372,0.00002628058],"domain_scores_gemma":[0.9990544,0.0004798168,0.0001432451,0.00002873426,0.0002582374,0.00003558421],"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":[0.0000847023,0.0001227905,0.002041092,0.03258146,0.0004365687,0.0002129749,0.0001185323,0.02441505,0.003593273,0.007385791,0.02365127,0.9053565],"study_design_scores_gemma":[0.00003349374,0.0002405853,0.003160642,0.008130901,0.00128994,0.0008573642,0.0003160552,0.01669639,0.005221374,0.01469818,0.9491873,0.0001677793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009233804,0.9948094,0.00274984,0.0004132253,0.0002300308,0.000008028013,0.0001183558,0.00003460696,0.0007130858],"genre_scores_gemma":[0.003712568,0.9941333,0.001358131,0.0001122248,0.0002022803,0.000007873181,0.0001049533,0.000007640269,0.0003611325],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005558912,"threshold_uncertainty_score":0.01105309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945241306162775,"score_gpt":0.3171548512377384,"score_spread":0.2877024381761106,"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."}}