{"id":"W4384133756","doi":"10.1016/j.enmm.2023.100850","title":"A decade of water monitoring in a Mediterranean region: Pharmaceutical prioritisation for an upgraded analytical methodology","year":2023,"lang":"en","type":"article","venue":"Environmental Nanotechnology Monitoring & Management","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Horizon 2020; Agència de Gestió d'Ajuts Universitaris i de Recerca; Canadian Institute for Advanced Research; Horizon 2020 Framework Programme; European Geriatric Medicine Society; National Technical University of Athens; National and Kapodistrian University of Athens; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; European Commission; Ministerio de Ciencia, Innovación y Universidades; Centres de Recerca de Catalunya","keywords":"Environmental science; Wastewater; Environmental chemistry; Environmental engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000762479,0.0003305446,0.0004096519,0.0003131638,0.000140728,0.00001594828,0.0005103454,0.00029773,0.0001186128],"category_scores_gemma":[0.00003195417,0.0003012785,0.0001221091,0.0003761993,0.0006531783,0.0003014356,0.0007382993,0.0003533334,0.0001809885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004496953,"about_ca_system_score_gemma":0.000002152563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002551881,"about_ca_topic_score_gemma":0.000001508597,"domain_scores_codex":[0.9970616,0.0001679011,0.0005979008,0.000785484,0.0004485838,0.0009385495],"domain_scores_gemma":[0.9991273,0.0001334301,0.00009450949,0.0004354187,0.000001440223,0.0002079176],"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":[0.0002850851,0.0008201148,0.2132775,0.0001192277,0.0001185683,0.0002725264,0.0008360429,0.001823468,0.5891677,0.000224934,0.00008613139,0.1929688],"study_design_scores_gemma":[0.002594412,0.0004473676,0.2498664,0.00009658172,0.000142623,0.00004090021,0.001349462,0.003975845,0.7352605,0.002356678,0.003322392,0.0005468149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963045,0.00005325982,0.00107648,0.0008083013,0.0005597706,0.0008507919,0.000007152254,0.0001792682,0.0001604839],"genre_scores_gemma":[0.9934575,0.0005541361,0.005362898,0.00004111802,0.0001271855,0.0001096846,0.00002708109,0.00004741243,0.0002729693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1924219,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332208708800056,"score_gpt":0.3710850451617969,"score_spread":0.2378641742817913,"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."}}