{"id":"W2019134312","doi":"10.1016/j.scitotenv.2015.03.055","title":"Emission factor estimation of ca. 160 emerging organic microcontaminants by inverse modeling in a Mediterranean river basin (Llobregat, NE Spain)","year":2015,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Generalitat de Catalunya; Canadian Institute for Advanced Research","keywords":"Environmental science; Drainage basin; Mediterranean climate; Environmental chemistry; Range (aeronautics); Hydrology (agriculture); Chemistry; Ecology; Biology; Geology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006725871,0.0007287533,0.0004601418,0.0004584591,0.0002126818,0.0005950542,0.0005004348,0.0005318337,0.0002748377],"category_scores_gemma":[0.0009763686,0.0003027522,0.0008251565,0.0003637511,0.000274701,0.0002845277,0.0003658255,0.0002825699,0.0000963453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074012,"about_ca_system_score_gemma":0.0005498894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0462347,"about_ca_topic_score_gemma":0.02828961,"domain_scores_codex":[0.9997742,0.00004966948,0.00001156742,0.00009690547,0.00004526958,0.00002248206],"domain_scores_gemma":[0.9997516,0.0001248861,0.00003721908,0.00002307286,0.00005381443,0.000009367049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002025878,0.0001473831,0.1212569,0.0001143466,0.0001337939,0.0002072416,0.0002322561,0.8090785,0.02353737,0.0003238788,0.0002645428,0.04450122],"study_design_scores_gemma":[0.0000197453,0.00008459741,0.0385996,0.000007297675,0.00003818512,0.0000396992,0.00006739228,0.9522018,0.007905055,0.000362334,0.0006548775,0.00001942183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803571,0.00009353747,0.01849569,0.00002332047,0.000002455791,0.00001609167,0.0002634578,0.0001180535,0.0006303071],"genre_scores_gemma":[0.98482,0.00008119996,0.0140808,0.00001208464,0.000001733753,0.00003543468,0.0004674163,0.00002736799,0.0004739289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0462347,"threshold_uncertainty_score":0.09193116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374290399188497,"score_gpt":0.2614703404401904,"score_spread":0.2277274364483054,"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."}}