{"id":"W2611934430","doi":"10.1016/j.scitotenv.2017.04.118","title":"Sensitivity of the LuminoTox tool to monitor contaminants of emerging concern in municipal secondary wastewater effluent","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Effluent; Wastewater; Contamination; SAPS II; Environmental chemistry; Sewage treatment; Pulp and paper industry; Chemistry; Environmental science; Environmental engineering; Biology; Ecology; Medicine","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":[0.001083344,0.000661601,0.0003291078,0.001085324,0.0002827459,0.0008357239,0.0004990065,0.001472609,0.001280413],"category_scores_gemma":[0.002749774,0.0004417076,0.0005759153,0.0007385123,0.0004547331,0.0004071308,0.0009971239,0.0006279453,0.0006559707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003723797,"about_ca_system_score_gemma":0.0003914405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000943438,"about_ca_topic_score_gemma":0.001149019,"domain_scores_codex":[0.9981488,0.0004557791,0.0001294171,0.0003855424,0.0006588617,0.0002215922],"domain_scores_gemma":[0.9978014,0.001097471,0.0003343753,0.0001849797,0.0004656606,0.0001161295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002423973,0.00008991035,0.007654419,0.00005643368,0.00003117979,0.00006819872,0.0001263679,0.0008316772,0.9864247,0.0001195907,0.0001041094,0.004251003],"study_design_scores_gemma":[0.000006948057,0.0006909383,0.009156749,0.00001664522,0.00002995103,0.0001783102,0.00007239068,0.003838716,0.9850394,0.0001003325,0.0008565203,0.00001309272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980492,0.0005901174,0.01582968,0.0001628848,0.0000456038,0.00003548729,0.0005792307,0.0002151985,0.002049748],"genre_scores_gemma":[0.9889143,0.000460282,0.007362753,0.0001711443,0.00001262302,0.00006470271,0.0007657366,0.00003613751,0.002212259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001472609,"threshold_uncertainty_score":0.005729318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293438099793641,"score_gpt":0.2779147635681782,"score_spread":0.2549803825702417,"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."}}