{"id":"W4386212845","doi":"10.5194/egusphere-2023-1590-rc3","title":"Comment on egusphere-2023-1590","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Effluent; Environmental science; Aquatic ecosystem; Surface water; Groundwater; Wastewater; Contamination; Surface runoff; Sewage treatment; Population; Ecosystem; STREAMS; Environmental engineering; Environmental chemistry; Ecology; Chemistry; Biology; Computer science; Engineering; Environmental health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002632482,0.00113505,0.001073421,0.001195294,0.003544207,0.004293503,0.002836754,0.02975147,0.3800346],"category_scores_gemma":[0.01309434,0.0005868504,0.00185357,0.001476595,0.001920682,0.003121415,0.002493017,0.01149544,0.301275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003717697,"about_ca_system_score_gemma":0.003307007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116466,"about_ca_topic_score_gemma":0.02516168,"domain_scores_codex":[0.9977196,0.0001703619,0.000188227,0.0002343911,0.001300655,0.0003865978],"domain_scores_gemma":[0.9956223,0.001032587,0.0002078632,0.0003964799,0.002093091,0.0006476978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003418024,0.00001793247,0.00004426209,0.00003804672,0.000001829668,0.00008008015,0.000009488387,0.00001061631,0.00008934311,0.0006967501,0.995025,0.003952459],"study_design_scores_gemma":[0.00001884233,0.00001436462,0.0002143492,0.00005565054,0.000001718759,0.00001728034,0.00002528355,0.00002273831,0.00008486884,0.00040672,0.999131,0.000007244744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0006849216,0.001399471,0.0008034593,0.3340623,0.2760977,0.0008821464,0.006040297,0.003006424,0.3770232],"genre_scores_gemma":[0.002112187,0.0006669911,0.0004146508,0.3813336,0.03316316,0.0003534527,0.001455873,0.0006937879,0.5798063],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3800346,"threshold_uncertainty_score":0.8843054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06698409078113982,"score_gpt":0.3427023631464228,"score_spread":0.275718272365283,"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."}}