{"id":"W3186267229","doi":"10.1088/1748-9326/ac1817","title":"Trends and legacy of freshwater salinization: untangling over 50 years of stream chloride monitoring","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Toronto Metropolitan University","funders":"","keywords":"STREAMS; Environmental science; Streamflow; Urbanization; Salting; Hydrology (agriculture); Precipitation; Drainage basin; Geography; Ecology; Meteorology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008361815,0.0001822204,0.0002596707,0.001649617,0.0006766716,0.0008785885,0.0006223121,0.000246073,0.0005868297],"category_scores_gemma":[0.002271907,0.0001344966,0.0003171818,0.003600197,0.0004598,0.0005024049,0.000604593,0.0002546102,0.0001125228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003557396,"about_ca_system_score_gemma":0.002908783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8470255,"about_ca_topic_score_gemma":0.9357035,"domain_scores_codex":[0.9994819,0.00005156803,0.00005024186,0.000144727,0.0001528028,0.0001188701],"domain_scores_gemma":[0.9975836,0.0001961798,0.0007544272,0.0001645584,0.001043455,0.0002577284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001692143,0.000003243921,0.9971806,0.00001104435,0.00004305802,0.00002235123,0.0003041778,0.0001056211,0.0001903093,0.00001885772,0.0002133435,0.001890372],"study_design_scores_gemma":[3.655221e-7,0.000003845178,0.9991958,0.000004034165,0.000008216459,0.000007677645,0.0001883718,0.0001722332,0.00003293577,0.00000451293,0.0003803245,0.000001735457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994078,0.0002336456,0.0002649368,0.00008938995,0.000005037902,0.00001012244,0.0045165,0.00001581843,0.0007864185],"genre_scores_gemma":[0.9965425,0.0001113679,0.0002003283,0.00002257078,0.00000519943,0.000009066868,0.002789267,0.000005210251,0.0003143204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8470255,"threshold_uncertainty_score":0.3077507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905472305214696,"score_gpt":0.2751919083176283,"score_spread":0.2561371852654813,"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."}}