{"id":"W1888021570","doi":"10.1002/etc.3064","title":"Using molecular biomarkers and traditional morphometric measurements to assess the health of slimy sculpin (<i>Cottus cognatus</i>) from streams with elevated selenium in North-Eastern British Columbia","year":2015,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Ministry of Environment","funders":"","keywords":"Sculpin; Benthic zone; Cottus; Biology; Population; STREAMS; Ecology; Fishery; Zoology; Fish <Actinopterygii>; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001640689,0.0003844144,0.0002356215,0.0009248965,0.0007743764,0.0006547088,0.0003611804,0.0003154083,0.0005380928],"category_scores_gemma":[0.0003331329,0.0002100214,0.0001299949,0.000851863,0.0006063727,0.0001445063,0.0003012995,0.0002563875,0.00013189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670234,"about_ca_system_score_gemma":0.001717154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6309144,"about_ca_topic_score_gemma":0.8749114,"domain_scores_codex":[0.9997709,0.00001587041,0.00001306011,0.00007817234,0.00008190695,0.00004004325],"domain_scores_gemma":[0.9996911,0.00001402609,0.00008197057,0.00001100623,0.0001502192,0.00005153841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914288,0.00007404319,0.9294701,0.00004278513,0.00005719923,0.0001152146,0.0004943638,0.000227519,0.06048298,0.00002152982,0.0001583792,0.00866446],"study_design_scores_gemma":[0.000002982102,0.00006660819,0.9974124,0.000003598419,0.00001237405,0.00004412789,0.000358444,0.0001693109,0.001735524,0.000005511352,0.0001850792,0.000003992446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992628,0.00005218237,0.0001392531,0.00001016372,0.000001257929,0.00002016573,0.000162481,0.000004341265,0.00034733],"genre_scores_gemma":[0.9972141,0.0001039477,0.0008763724,0.00004956895,0.000001165389,0.0000397852,0.0004684144,0.000003012618,0.001243744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3690856,"threshold_uncertainty_score":0.7425183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03825951747282563,"score_gpt":0.2221707067280406,"score_spread":0.183911189255215,"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."}}