{"id":"W4292683570","doi":"10.1016/j.scitotenv.2022.158247","title":"Impacts of wastewater effluents and seasonal trends on levels of antipsychotic pharmaceuticals in water and sediments from two cold-region rivers","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Global Institute for Water Security","funders":"","keywords":"Environmental science; Effluent; Aquatic ecosystem; Wastewater; Environmental chemistry; Sediment; Abiotic component; Contamination; Hydrology (agriculture); Ecology; Environmental engineering; Chemistry; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002601666,0.0003127082,0.0003952416,0.0008255144,0.001283531,0.001071051,0.0003697322,0.0006050022,0.0007705744],"category_scores_gemma":[0.0004780142,0.000384208,0.000629425,0.001443768,0.0005909709,0.0003769572,0.000651797,0.0005067263,0.0001736117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810823,"about_ca_system_score_gemma":0.001094987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1233176,"about_ca_topic_score_gemma":0.2029077,"domain_scores_codex":[0.9996767,0.0000453695,0.00003784226,0.00009348344,0.0000644329,0.00008207993],"domain_scores_gemma":[0.9995096,0.00008780195,0.0001216555,0.00001905221,0.0001872599,0.00007463282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001290534,0.0002210282,0.9454357,0.00007589293,0.0002423622,0.0005241213,0.001614757,0.001818946,0.04264101,0.0001380732,0.00027625,0.005721299],"study_design_scores_gemma":[0.00000970808,0.0001069625,0.9952923,0.000004073604,0.00005385285,0.00006389478,0.001448735,0.0003707613,0.002286157,0.00002048463,0.0003346031,0.000008527538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999262,0.00002019917,0.00004295698,0.00001595454,0.000001938563,0.000002637899,0.0002696816,0.000002924408,0.0003816456],"genre_scores_gemma":[0.9986317,0.00004531572,0.00009935729,0.00001972108,0.00000289786,0.000006100004,0.0004876989,0.000003349962,0.0007039355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1233176,"threshold_uncertainty_score":0.2451997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779082878086374,"score_gpt":0.2816105452552254,"score_spread":0.2538197164743616,"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."}}