{"id":"W1999410498","doi":"10.1016/j.watres.2014.08.050","title":"Biological plausibility as a tool to associate analytical data for micropollutants and effect potentials in wastewater, surface water, and sediments with effects in fishes","year":2014,"lang":"en","type":"article","venue":"Water Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"State Administration of Foreign Experts Affairs","keywords":"Environmental chemistry; Rainbow trout; Effluent; Salmo; Surface water; Tributary; Sewage treatment; Wastewater; Environmental science; Leuciscus; Pesticide; Polybrominated diphenyl ethers; Salmonidae; Chemistry; Pollutant; Environmental engineering; Fishery; Fish <Actinopterygii>; Ecology; Biology","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":[0.003717768,0.0004979785,0.0002415334,0.002999243,0.0007955832,0.00173445,0.0006891438,0.001056223,0.002429526],"category_scores_gemma":[0.01120044,0.0002718745,0.0005787481,0.001512723,0.001588286,0.001302835,0.001405681,0.0007880488,0.0003338092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006380274,"about_ca_system_score_gemma":0.0007051878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810183,"about_ca_topic_score_gemma":0.00224716,"domain_scores_codex":[0.9984511,0.0005570361,0.0001879455,0.0002757595,0.0004759626,0.00005215222],"domain_scores_gemma":[0.9897597,0.00599437,0.002098212,0.0009884125,0.0009034697,0.0002559586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001179651,0.0002097874,0.7084727,0.0004699375,0.000332502,0.0006772133,0.0008998421,0.004183849,0.2357383,0.007074278,0.0002086127,0.04055333],"study_design_scores_gemma":[0.00004869657,0.001630209,0.7527529,0.0001695091,0.0005678814,0.002290181,0.002058999,0.01321212,0.1929374,0.02525267,0.008994994,0.00008453134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601488,0.001530602,0.02676894,0.0006781196,0.00006385108,0.00007381702,0.001497521,0.0001160576,0.009122278],"genre_scores_gemma":[0.9953673,0.0001740146,0.003508526,0.00005793568,0.00001542671,0.00002164725,0.0002368448,0.000008377159,0.0006099369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003717768,"threshold_uncertainty_score":0.01966166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0730924400603499,"score_gpt":0.3753792129061726,"score_spread":0.3022867728458227,"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."}}