{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005974301,0.001175248,0.001089398,0.003575781,0.0003957638,0.002174726,0.000945274,0.0006824996,0.003373809],"category_scores_gemma":[0.005714099,0.0003303079,0.0009115787,0.006480918,0.0003054899,0.0008467154,0.004262396,0.0006740736,0.002251707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150136,"about_ca_system_score_gemma":0.004061146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352507,"about_ca_topic_score_gemma":0.0150936,"domain_scores_codex":[0.9949033,0.001331116,0.0005551633,0.0006521988,0.001968544,0.0005896835],"domain_scores_gemma":[0.9906132,0.0007996309,0.00225288,0.0006355708,0.004255417,0.00144329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002396602,0.0007831884,0.773298,0.002057114,0.0007468776,0.0002011575,0.0005038473,0.002042702,0.004617631,0.002897068,0.09966077,0.110795],"study_design_scores_gemma":[0.0002835179,0.001029494,0.8208125,0.0002299397,0.0004012351,0.0002622357,0.0009133833,0.002023501,0.008520732,0.0008700036,0.1645885,0.00006493476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4569618,0.002289696,0.007041395,0.001750024,0.0003176764,0.001214415,0.489628,0.001419174,0.03937784],"genre_scores_gemma":[0.4384286,0.001102776,0.0126781,0.000940468,0.0002298013,0.001272485,0.5329726,0.0003189616,0.01205625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01352507,"threshold_uncertainty_score":0.03159553,"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."}}