{"id":"W2043351021","doi":"10.1016/s0166-445x(00)00099-0","title":"Effects of long term sublethal Cd exposure in rainbow trout during soft water exposure: implications for biotic ligand modelling","year":2000,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"International Copper Association","keywords":"Gill; Cadmium; Rainbow trout; Soft water; Acclimatization; Biotic Ligand Model; Animal science; Chemistry; Alkalinity; Hard water; Toxicity; Water quality; Toxicology; Juvenile; Ecotoxicology; Environmental chemistry; Biology; Fish <Actinopterygii>; Ecology; Fishery","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":[0.0001333106,0.0002062458,0.0002549408,0.0001171209,0.0002181399,0.0004574498,0.000211023,0.0003910139,0.0008292257],"category_scores_gemma":[0.0002623571,0.0001150149,0.0003259562,0.0001058743,0.0002678291,0.0002083715,0.0003452048,0.0003129343,0.0001547008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008703106,"about_ca_system_score_gemma":0.0005601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02464828,"about_ca_topic_score_gemma":0.03051918,"domain_scores_codex":[0.9999461,0.00001035527,0.000003046277,0.0000129839,0.0000118954,0.00001551019],"domain_scores_gemma":[0.9998801,0.0000422615,0.0000215427,0.0000119978,0.00001780111,0.00002632746],"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":[0.004713444,0.0002808267,0.05192326,0.0001128984,0.00009788796,0.0001853289,0.0002312431,0.025393,0.9070261,0.0002369129,0.0002192746,0.009579856],"study_design_scores_gemma":[0.0001213221,0.004985479,0.4047967,0.00002813126,0.0002917965,0.0003069618,0.001182141,0.1102046,0.4754389,0.001140636,0.001433262,0.00006998274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990636,0.00006943215,0.0005718781,0.00002253694,0.000002979658,0.000003725148,0.00008513279,0.000006325316,0.0001743351],"genre_scores_gemma":[0.9987697,0.00008713218,0.0003199066,0.00001032655,9.417469e-7,0.000007635527,0.0001021194,0.000003958872,0.0006982283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02464828,"threshold_uncertainty_score":0.04900962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020105461993001,"score_gpt":0.2243213435415115,"score_spread":0.2141202889215815,"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."}}