{"id":"W4235232600","doi":"10.1139/cjfas-57-s1-101","title":"A modelling-based perspective on the past, present, and future polychlorinated biphenyl contamination of the St. Lawrence beluga whale (<i>Delphinapterus leucas</i>) population","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Beluga Whale; Polychlorinated biphenyl; Leucas; Beluga; Fishery; Cetacea; Environmental science; Population; Whale; Contamination; Geography; Ecology; Biology; Arctic; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009016366,0.0005478068,0.000467196,0.000599974,0.000377161,0.001592418,0.001523865,0.001485295,0.002929533],"category_scores_gemma":[0.001779731,0.0002702484,0.00062007,0.0009040332,0.0006357097,0.001388954,0.0006326953,0.0009531252,0.0001867484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236344,"about_ca_system_score_gemma":0.001322459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08735153,"about_ca_topic_score_gemma":0.09507947,"domain_scores_codex":[0.9997322,0.0001531386,0.00001590438,0.00004082354,0.00002717702,0.0000308554],"domain_scores_gemma":[0.9992492,0.0004816244,0.0000925757,0.00002362161,0.0001012647,0.00005170428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008136227,0.00004615598,0.01405656,0.0001643431,0.0001627881,0.0004379164,0.0004814849,0.8925763,0.001152009,0.07334398,0.003702611,0.01379441],"study_design_scores_gemma":[0.00002419404,0.0001346733,0.009486958,0.0001748643,0.0001306621,0.0002183246,0.001391109,0.8706745,0.000525193,0.09980468,0.01733632,0.0000985037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5618804,0.01088803,0.2547725,0.06862905,0.0006908026,0.00005775161,0.007360684,0.0003464418,0.09537436],"genre_scores_gemma":[0.9804953,0.002789191,0.01286852,0.0005250532,0.00009584472,0.00002774585,0.0006779277,0.00002616568,0.002494332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9126484,"threshold_uncertainty_score":0.1736862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562475971818568,"score_gpt":0.2162045103097131,"score_spread":0.2005797505915275,"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."}}