{"id":"W4310854580","doi":"10.1039/d2va00257d","title":"Policy options to account for multiple chemical pollutants threatening biodiversity","year":2022,"lang":"en","type":"article","venue":"Environmental Science Advances","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Biodiversity; Pollutant; Environmental science; Scale (ratio); Pollution; Environmental resource management; Natural resource economics; Environmental planning; Business; Geography; Economics; Ecology; Biology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008177806,0.001098917,0.0006761476,0.001369229,0.002026123,0.007303138,0.003940706,0.01748701,0.02628432],"category_scores_gemma":[0.02248737,0.0004237937,0.0011893,0.001610268,0.002173757,0.00808063,0.003595698,0.009085359,0.002197367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004015957,"about_ca_system_score_gemma":0.02340137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01645299,"about_ca_topic_score_gemma":0.02187674,"domain_scores_codex":[0.9955038,0.001190488,0.0001672137,0.0004055953,0.001918348,0.0008145355],"domain_scores_gemma":[0.9892659,0.00399527,0.001253015,0.000708516,0.003183757,0.001593559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009182047,0.0001793719,0.001836437,0.0003136622,0.0001245398,0.0004990271,0.0004151904,0.03117149,0.001324109,0.7834208,0.1343552,0.04626835],"study_design_scores_gemma":[0.00007333978,0.00006789034,0.00111986,0.0005833103,0.00008218462,0.0002791789,0.0009654525,0.01561306,0.0007995894,0.6001756,0.3801271,0.0001134235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01227543,0.005275598,0.04026742,0.6916561,0.006230412,0.0002981064,0.00120273,0.0005395426,0.2422547],"genre_scores_gemma":[0.5113001,0.01176008,0.0675735,0.2920907,0.006213362,0.001385708,0.001232067,0.0003333413,0.1081112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02628432,"threshold_uncertainty_score":0.08792984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141140850765589,"score_gpt":0.2920449805744321,"score_spread":0.2706335720667762,"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."}}