{"id":"W4252078398","doi":"10.32920/ryerson.14660388","title":"Human pharmaceuticals in Ontario's environment: a review of management opportunities","year":2021,"lang":"en","type":"review","venue":"","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Queen's University","funders":"","keywords":"Government (linguistics); Harm; Business; Action (physics); Affect (linguistics); Environmental planning; Work (physics); Quality (philosophy); Guideline; Wildlife; Water quality; Environmental resource management; Political science; Engineering; Geography; Environmental science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001481698,0.000591383,0.0008570665,0.004828775,0.0007269325,0.001453667,0.0007001651,0.0009253395,0.003119052],"category_scores_gemma":[0.002206438,0.0003847496,0.0007372884,0.007250181,0.0006172092,0.0009159026,0.0005681582,0.0008083635,0.0004828163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007351959,"about_ca_system_score_gemma":0.02530681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2447308,"about_ca_topic_score_gemma":0.5993255,"domain_scores_codex":[0.999208,0.0001121177,0.0001079846,0.00006204033,0.0004414189,0.00006839644],"domain_scores_gemma":[0.9978301,0.0008218688,0.000305003,0.00003143898,0.0008814275,0.0001301711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006519965,0.00005152107,0.000926358,0.1010425,0.0002014417,0.0002840377,0.0006039319,0.0003904754,0.001107914,0.003836302,0.05309,0.8384002],"study_design_scores_gemma":[0.00001035095,0.00007847926,0.004268121,0.02614745,0.0003530774,0.0003753063,0.0002995469,0.00007231786,0.0002750108,0.0004285819,0.9676684,0.00002323613],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002299993,0.9971102,0.0000345138,0.0008072329,0.00007912154,0.000008349551,0.0000539927,0.000002763449,0.001673916],"genre_scores_gemma":[0.001198782,0.9981205,0.00008768486,0.0001539974,0.00003072913,0.000004008172,0.00002713549,7.501306e-7,0.0003763158],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7552692,"threshold_uncertainty_score":0.4866127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2203604793484452,"score_gpt":0.3933608558358761,"score_spread":0.1730003764874309,"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."}}