{"id":"W2913143941","doi":"10.1002/etc.4309","title":"EcoToxChip: A next-generation toxicogenomics tool for chemical prioritization and environmental management","year":2019,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; McGill University; Environment and Climate Change Canada; Ste. Anne's Hospital","funders":"U.S. Environmental Protection Agency","keywords":"European union; Environmental protection; Environmental planning; Aquatic ecosystem; Effluent; Legislation; Business; Agency (philosophy); Environmental science; Environmental resource management; Ecology; Environmental engineering; Biology; Political science","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":[0.003719262,0.001730897,0.001318822,0.002863382,0.001038774,0.003290401,0.001910309,0.00161578,0.01682401],"category_scores_gemma":[0.005168227,0.0007220969,0.002123189,0.001839617,0.0005944606,0.002536963,0.003076003,0.002020131,0.005870782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009353234,"about_ca_system_score_gemma":0.002264135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002907957,"about_ca_topic_score_gemma":0.007332566,"domain_scores_codex":[0.998724,0.0002228272,0.00007265656,0.0004240553,0.0004519377,0.0001044781],"domain_scores_gemma":[0.9983658,0.0008213515,0.0002344398,0.0001991054,0.0002336085,0.0001456086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002575012,0.0006378585,0.03885914,0.005063295,0.002391863,0.001968393,0.001476438,0.02657115,0.1326694,0.04543909,0.3717583,0.37059],"study_design_scores_gemma":[0.0005349909,0.0005713934,0.02164751,0.000862973,0.001152388,0.001540409,0.0005301046,0.1634332,0.06695312,0.1075807,0.634645,0.0005482035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02889348,0.007314503,0.5935085,0.00341571,0.001450455,0.0007945816,0.1333626,0.1976438,0.03361634],"genre_scores_gemma":[0.08778269,0.004627366,0.7730713,0.00650607,0.0003759215,0.001758255,0.1027486,0.01229763,0.01083214],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01682401,"threshold_uncertainty_score":0.05628192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378938636778268,"score_gpt":0.2256789349943853,"score_spread":0.2118895486266026,"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."}}