{"id":"W2170606321","doi":"10.1139/f09-069","title":"Behavioural toxicity of organic chemical contaminants in fish: application to ecological risk assessments (ERAs)","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Lethality; Environmental science; Pollutant; Risk assessment; Hazard; Environmental hazard; Fish <Actinopterygii>; Contamination; Ecology; Toxicology; Risk analysis (engineering); Environmental health; Biology; Fishery; Business; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003906422,0.0008951003,0.000576993,0.003505648,0.0003151279,0.0009157538,0.0005281357,0.0007315525,0.00099417],"category_scores_gemma":[0.004527677,0.0002263331,0.0008091897,0.001722613,0.0006550102,0.0005899961,0.001063406,0.0005407494,0.0001984294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00099904,"about_ca_system_score_gemma":0.000751922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007495795,"about_ca_topic_score_gemma":0.0140287,"domain_scores_codex":[0.9981319,0.0007405247,0.0001847317,0.0001339319,0.0007446251,0.00006426305],"domain_scores_gemma":[0.9960949,0.001399219,0.001243441,0.0001391289,0.001008782,0.0001145982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006850603,0.0006011807,0.2748936,0.005046099,0.0009932199,0.0007159665,0.0009868763,0.05179648,0.08437371,0.002566387,0.00201686,0.5753247],"study_design_scores_gemma":[0.00006963294,0.008580156,0.8089112,0.001087524,0.001160139,0.002316875,0.002517461,0.07229431,0.07376189,0.01101143,0.01797145,0.0003179413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8106971,0.02621902,0.1262752,0.00212054,0.0002068296,0.001144171,0.004359245,0.0006142111,0.0283637],"genre_scores_gemma":[0.922358,0.01474469,0.05844134,0.000319149,0.0001098655,0.0003005605,0.0005469547,0.00001737804,0.003162111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007495795,"threshold_uncertainty_score":0.02065945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600291565987613,"score_gpt":0.244704307342208,"score_spread":0.2287013916823319,"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."}}