{"id":"W4387116585","doi":"10.5194/egusphere-2023-1590-ac3","title":"Reply on RC3","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":"McGill University","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":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":[0.003278246,0.001138011,0.001178762,0.001145508,0.003518699,0.005038522,0.004048706,0.03328782,0.1446384],"category_scores_gemma":[0.02669703,0.0007084072,0.001846779,0.001035003,0.002818119,0.004853828,0.0031478,0.02986174,0.1247963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004589744,"about_ca_system_score_gemma":0.004585378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037129,"about_ca_topic_score_gemma":0.01318294,"domain_scores_codex":[0.9968948,0.0005375259,0.0003236025,0.0005995777,0.001166446,0.0004780838],"domain_scores_gemma":[0.9924305,0.002209946,0.0002918796,0.0005172922,0.003238554,0.00131191],"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":[0.000009360748,0.000004185076,0.00002773461,0.0000141325,0.000001659783,0.00006175013,0.00001057986,0.000005054245,0.0000216751,0.0003219888,0.9974131,0.002108844],"study_design_scores_gemma":[0.000009244065,0.000007174823,0.0001167567,0.00005267976,0.000002426826,0.00006573056,0.0000594814,0.00001848162,0.00005019093,0.0004762123,0.9991327,0.000009087064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001774062,0.001975949,0.0002515082,0.7969049,0.173269,0.0001070834,0.0004640531,0.0003718244,0.02647823],"genre_scores_gemma":[0.001409396,0.0008914139,0.0002110953,0.8601837,0.03787431,0.0001284925,0.0001398929,0.0001640198,0.09899769],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1446384,"threshold_uncertainty_score":0.4838638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07431541998601089,"score_gpt":0.3527576659546598,"score_spread":0.2784422459686489,"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."}}