{"id":"W2095697810","doi":"10.1007/s11356-012-1285-2","title":"A multibiomarker approach on the Atlantic tomcod (Microgadus tomcod) in the St. Lawrence Estuary","year":2012,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Estuary; Metallothionein; Bioaccumulation; Ecotoxicology; Environmental science; Fishery; Biology; Ecology; Chemistry; Cadmium","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":[0.0007807673,0.000282393,0.0004313109,0.001296671,0.0008461652,0.0006819255,0.0005411877,0.0007043607,0.0008216431],"category_scores_gemma":[0.0007378405,0.0001804105,0.0003982573,0.0008644381,0.0003279308,0.0002887397,0.0005998902,0.0004570438,0.0001844051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000985234,"about_ca_system_score_gemma":0.0009880267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1388622,"about_ca_topic_score_gemma":0.3066805,"domain_scores_codex":[0.9996934,0.00006708128,0.00001125978,0.00009485679,0.00006922751,0.0000642173],"domain_scores_gemma":[0.9995408,0.0001511939,0.00008211903,0.00003949761,0.0001452162,0.00004117148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044008,0.000549423,0.7055957,0.0001529077,0.0004480932,0.001180783,0.000969252,0.03948383,0.0992877,0.0008231546,0.00162977,0.1488354],"study_design_scores_gemma":[0.0000261024,0.0001890013,0.8848522,0.00003133408,0.000152848,0.0001537442,0.002056613,0.104559,0.005543984,0.0004285264,0.001961056,0.00004566336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962744,0.0001827805,0.002464751,0.00007976178,0.00001281803,0.000007026245,0.0003180425,0.00002139046,0.0006390848],"genre_scores_gemma":[0.9908426,0.0001095921,0.006197885,0.00005408557,0.00001220804,0.00001127529,0.0005165813,0.00001226959,0.002243497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8611379,"threshold_uncertainty_score":0.2761078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885707484342014,"score_gpt":0.3073815191080801,"score_spread":0.25852444426466,"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."}}