{"id":"W3082983166","doi":"10.1007/s10646-020-02274-5","title":"Deterministic risk assessment of firefighting water additives to aquatic organisms","year":2020,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Firefighting; Daphnia magna; Environmental science; Aquatic toxicology; Aquatic ecosystem; Ecotoxicity; Toxicology; Acute toxicity; Environmental chemistry; Biology; Toxicity; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002209149,0.0001650639,0.0002903974,0.00003034144,0.00009375622,0.0000140384,0.0003313655,0.00008782348,0.02634786],"category_scores_gemma":[0.0005072466,0.0001268926,0.0000478874,0.0001772625,0.0001417242,0.0001011976,0.0003482723,0.0001698795,0.00242412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636163,"about_ca_system_score_gemma":0.00002968236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001467117,"about_ca_topic_score_gemma":0.00006360046,"domain_scores_codex":[0.9984741,0.0001623132,0.0003446868,0.0003678279,0.0002083542,0.000442698],"domain_scores_gemma":[0.9991897,0.000168769,0.0001242646,0.0002265881,0.000001483628,0.0002891808],"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":[0.00002050436,0.0001114335,0.02741154,0.000007092809,0.00003534565,0.00003982929,0.003182875,0.0001458335,0.9413791,0.00001180071,0.001041744,0.02661285],"study_design_scores_gemma":[0.0006437984,0.001846096,0.5434654,0.00001014142,0.00006104362,0.00002368484,0.0002102781,0.005289669,0.4429843,0.0004065785,0.004670091,0.0003889579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907607,0.000002434024,0.001542339,0.001720506,0.0001503745,0.0003088387,0.0001053001,0.0000572743,0.005352166],"genre_scores_gemma":[0.9939249,0.000002673587,0.004050609,0.001785983,0.00006336682,0.00001122242,0.00000177084,0.0000271969,0.0001323335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5160539,"threshold_uncertainty_score":0.9983526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287931140228268,"score_gpt":0.2622362482224656,"score_spread":0.2493569368201829,"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."}}