{"id":"W7161765697","doi":"10.82308/47844","title":"Pharmaceutically active compounds in the environment: risks, trade-offs and sewer epidemiology","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human health; Human immunodeficiency virus (HIV); Disease prevention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004010282,0.0008097385,0.001535046,0.001862193,0.0007632763,0.005313203,0.0008214971,0.002408903,0.004247914],"category_scores_gemma":[0.005652619,0.000610629,0.001937208,0.002426358,0.001579667,0.002554674,0.002067372,0.001295777,0.0005640475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461391,"about_ca_system_score_gemma":0.002582534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01651197,"about_ca_topic_score_gemma":0.01808154,"domain_scores_codex":[0.9964187,0.001413344,0.0002273146,0.0006823189,0.001032809,0.0002254702],"domain_scores_gemma":[0.9956158,0.002329797,0.0008882817,0.0003549485,0.0006985314,0.0001126329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001455603,0.0006739873,0.4796585,0.004708074,0.002489917,0.002210309,0.002178673,0.1168763,0.02631423,0.08828965,0.0022933,0.2728514],"study_design_scores_gemma":[0.0001532793,0.006155761,0.4708173,0.00326822,0.003675235,0.005585339,0.01022282,0.1274948,0.04273906,0.1934855,0.1357713,0.0006313922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7282277,0.09434798,0.1244715,0.01076418,0.0004795655,0.0005648033,0.002276454,0.0001565055,0.0387113],"genre_scores_gemma":[0.9138619,0.05103199,0.01636702,0.0008264553,0.0002048679,0.000202874,0.0005340938,0.000060051,0.01691075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651197,"threshold_uncertainty_score":0.03283173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041199313945274,"score_gpt":0.3881622207502515,"score_spread":0.2840422893557241,"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."}}