{"id":"W3209697271","doi":"10.25678/000172","title":"Illicit drugs in wastewater - SCORE initiative","year":2019,"lang":"en","type":"article","venue":"Åbo Akademi University Research Portal","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"FP7 People: Marie-Curie Actions; Agencia Estatal de Investigación; Internal Security Fund - Police; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Directorate-General for Migration and Home Affairs; Thyne Reid Foundation","keywords":"Illicit drug; Business; Medicine; Environmental health; Actuarial science; Drug; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005868712,0.0001263863,0.0001506071,0.0001192947,0.0001156763,0.00001778147,0.0003968841,0.0001069888,0.01623758],"category_scores_gemma":[0.00002822096,0.0001188686,0.00005375679,0.0005012731,0.0005362086,0.0005611896,0.0007315026,0.0006655183,0.006156816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653356,"about_ca_system_score_gemma":0.00002156652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004414417,"about_ca_topic_score_gemma":0.0000622399,"domain_scores_codex":[0.9979194,0.0001884816,0.0001243473,0.0003971658,0.0006844123,0.0006861608],"domain_scores_gemma":[0.9993461,0.0001056462,0.00002955826,0.0002034458,0.000005664578,0.0003095735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001059886,0.0002527795,0.9532447,0.000017702,0.00001508965,0.0003823993,0.001479887,0.0001357365,0.03919826,0.0004146544,0.003880953,0.0008718526],"study_design_scores_gemma":[0.002619757,0.0003797919,0.9030352,0.0001353106,0.00001311487,0.00002685077,0.01124176,0.001189183,0.03436019,0.0006956785,0.0456485,0.0006546238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8183004,0.000007074947,0.000001116695,0.0004419725,0.00003593112,0.0002472678,0.00001327459,0.00001654525,0.1809364],"genre_scores_gemma":[0.9892045,0.00006072159,0.00004539347,0.0001510821,0.00001704466,2.635076e-7,0.00001282476,0.00001020247,0.01049802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1709041,"threshold_uncertainty_score":0.994617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06442185958917955,"score_gpt":0.3186022239254506,"score_spread":0.2541803643362711,"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."}}