{"id":"W2047655288","doi":"10.1007/s10646-005-0034-4","title":"Case Study Part 1: How to Calculate Appropriate Deterministic Long-Term Toxicity to Exposure Ratios (TERs) for Birds and Mammals","year":2005,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Apheresis Group","funders":"","keywords":"Risk assessment; Term (time); European union; Reproduction; Ecotoxicology; Biology; Statistics; Toxicology; Risk analysis (engineering); Environmental science; Computer science; Ecology; Mathematics","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":[0.002505063,0.0008957163,0.0006732986,0.0005982826,0.0006341941,0.001240214,0.001189912,0.001843821,0.005004174],"category_scores_gemma":[0.009873961,0.0005441829,0.001055338,0.0005867234,0.0003007155,0.001002963,0.0007443095,0.001192652,0.001081442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418864,"about_ca_system_score_gemma":0.0007997596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008444604,"about_ca_topic_score_gemma":0.008838336,"domain_scores_codex":[0.9991727,0.0003736711,0.00006481075,0.0001153806,0.0002232982,0.00005002029],"domain_scores_gemma":[0.9961202,0.002698589,0.0001950249,0.0003506898,0.0005813352,0.00005415454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005361431,0.0003158673,0.02884034,0.001225027,0.0003507105,0.002684823,0.0003444266,0.666441,0.02248082,0.01758842,0.01606479,0.2431277],"study_design_scores_gemma":[0.0001468416,0.0004612591,0.01510748,0.000189932,0.0002623327,0.00338347,0.0004994073,0.8564419,0.05623987,0.02914246,0.03793679,0.0001882775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1387421,0.0008888095,0.8416208,0.001549826,0.0001584708,0.0006502725,0.002126114,0.00185616,0.01240745],"genre_scores_gemma":[0.3273776,0.0006944611,0.6605625,0.0002645352,0.00007281794,0.0004778431,0.001135035,0.0004632268,0.008952128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008444604,"threshold_uncertainty_score":0.01679093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864565153431474,"score_gpt":0.2775876350366813,"score_spread":0.2489419835023665,"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."}}