{"id":"W2271740204","doi":"10.1016/j.aquatox.2016.01.006","title":"Application of molecular endpoints in early life stage salmonid environmental biomonitoring","year":2016,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nautilus Environmental; University of New Brunswick; Simon Fraser University","funders":"Canada Research Chairs","keywords":"Biomonitoring; Stage (stratigraphy); Environmental toxicology; Environmental chemistry; Environmental science; Biology; Ecology; Chemistry; Toxicity; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001178371,0.0006142228,0.0002296238,0.000630912,0.0003291976,0.000618137,0.0003690723,0.0007493665,0.001142721],"category_scores_gemma":[0.0009102998,0.000211447,0.0003442746,0.0004016466,0.0002796444,0.0004141887,0.0005956264,0.0007494814,0.0004456237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552041,"about_ca_system_score_gemma":0.0006438369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378546,"about_ca_topic_score_gemma":0.002947279,"domain_scores_codex":[0.9995142,0.0001789341,0.00002701782,0.0001019846,0.0001315249,0.00004623334],"domain_scores_gemma":[0.9993626,0.0001030725,0.0001327179,0.00005359516,0.0002839825,0.00006399452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001258111,0.00006456824,0.008465203,0.0001240011,0.00002829377,0.0000611542,0.00005298909,0.0003851067,0.9681821,0.0004432994,0.0001259947,0.02194146],"study_design_scores_gemma":[0.00001175887,0.001839335,0.02742694,0.00004872976,0.00009375116,0.0002975334,0.0001777107,0.001474897,0.9597351,0.0005066765,0.008362522,0.00002505158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642265,0.01026582,0.1084851,0.0007044168,0.0002936216,0.0004744464,0.002013918,0.0002775742,0.01325857],"genre_scores_gemma":[0.9053576,0.009017026,0.06912728,0.0005349008,0.00005721656,0.0003744948,0.001179804,0.00004010582,0.01431153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001378546,"threshold_uncertainty_score":0.006231904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007320477613364699,"score_gpt":0.2270064586772315,"score_spread":0.2196859810638668,"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."}}