{"id":"W4306953690","doi":"10.1016/j.scitotenv.2022.159574","title":"Species sensitivity distributions for two widely used anti-sea lice chemotherapeutants in the salmon aquaculture industry","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"","keywords":"Pesticide; Context (archaeology); EC50; Hydrogen peroxide; Toxicology; Environmental science; Seawater; Ecotoxicology; Environmental chemistry; Biology; Fishery; Ecology; Chemistry","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":[0.0003233461,0.0001324867,0.0001568099,0.000902429,0.0001473674,0.0002509749,0.0001127255,0.000280783,0.002063876],"category_scores_gemma":[0.0007377066,0.0001156048,0.0002852372,0.0004459317,0.0002016478,0.0002037123,0.0003151015,0.0001726738,0.0002650038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577192,"about_ca_system_score_gemma":0.0001297811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002205837,"about_ca_topic_score_gemma":0.003641773,"domain_scores_codex":[0.9997346,0.00006169509,0.00004017256,0.00005929753,0.00005533783,0.00004896141],"domain_scores_gemma":[0.9989983,0.0002696786,0.0002883384,0.00003990252,0.0002934769,0.000110346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002932456,0.0002624983,0.3904568,0.0002636063,0.0002332658,0.0003559587,0.0007607224,0.001464045,0.5573838,0.0002343316,0.0004124592,0.04524011],"study_design_scores_gemma":[0.000008908879,0.002507108,0.9504038,0.00001464977,0.00008817915,0.0005967749,0.00099844,0.0006775379,0.04285486,0.0000767561,0.001752402,0.00002046492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985533,0.0002499807,0.0001265814,0.00002137663,0.000002001792,0.000004542563,0.0001930928,0.000006324238,0.0008426181],"genre_scores_gemma":[0.9987458,0.0001896152,0.0001380791,0.00002652072,0.000001463162,0.000004384157,0.0001685381,0.000002270787,0.0007233802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002205837,"threshold_uncertainty_score":0.006904364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478514599716031,"score_gpt":0.2821010301682541,"score_spread":0.2473158841710937,"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."}}