{"id":"W4390616918","doi":"10.3390/toxics12010042","title":"Country-Wide Ecological Health Assessment Methodology for Air Toxics: Bridging Gaps in Ecosystem Impact Understanding and Policy Foundations","year":2024,"lang":"en","type":"article","venue":"Toxics","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental science; Ecosystem; Aquatic ecosystem; Environmental resource management; Ecological assessment; Risk assessment; Ecosystem health; Ecosystem services; Environmental planning; Ecology; Environmental protection; Computer science; Biology","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":[0.0102086,0.0009716956,0.0004818056,0.004985614,0.0007189302,0.002433693,0.00134232,0.0007740576,0.00188995],"category_scores_gemma":[0.01565551,0.0002867759,0.001145559,0.003666218,0.001209941,0.003310764,0.005063009,0.001409779,0.0002091615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002355256,"about_ca_system_score_gemma":0.003432696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009714209,"about_ca_topic_score_gemma":0.01485362,"domain_scores_codex":[0.9958115,0.002697125,0.0002522233,0.000396132,0.0007156418,0.0001274688],"domain_scores_gemma":[0.9940476,0.002664665,0.001016333,0.0005777526,0.001563845,0.0001297458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001323365,0.0002978276,0.1185462,0.00113875,0.0008253123,0.00049775,0.002020776,0.1781865,0.004497865,0.242277,0.004834627,0.4467451],"study_design_scores_gemma":[0.00003530222,0.0005756101,0.07904816,0.001068052,0.0004300493,0.0008517516,0.007466961,0.5650293,0.005494195,0.2841612,0.05561437,0.0002250408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0871812,0.001991494,0.887888,0.002382552,0.00008103407,0.000586058,0.001195069,0.0002331689,0.01846144],"genre_scores_gemma":[0.6035162,0.002165075,0.3903104,0.0004433476,0.00006461435,0.0009477859,0.001017603,0.00005606333,0.001478983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0102086,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134725113605929,"score_gpt":0.4452898204342901,"score_spread":0.310564706828361,"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."}}