{"id":"W4408677531","doi":"10.3996/jfwm-23-053","title":"Fish, Invertebrate, and Marine Mammal Bycatch in a Central Canadian Commercial Fishery for Arctic Char","year":2025,"lang":"en","type":"article","venue":"Journal of Fish and Wildlife Management","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Carleton University; Environment and Climate Change Canada; Research Manitoba; Acadia University; Government of Nunavut","funders":"","keywords":"Bycatch; Fishery; Marine mammal; Arctic char; Invertebrate; Fish <Actinopterygii>; Arctic; Environmental science; Marine invertebrates; Mammal; Ecology; Biology","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":[0.0003428818,0.0004382369,0.0002166128,0.001499358,0.002460705,0.0006126845,0.0006142705,0.0002652723,0.000929462],"category_scores_gemma":[0.0005936193,0.0002773476,0.0003321648,0.001880295,0.0005694963,0.0002506844,0.0006454939,0.0003430983,0.0001480571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009855275,"about_ca_system_score_gemma":0.007096046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9789079,"about_ca_topic_score_gemma":0.9953915,"domain_scores_codex":[0.9996868,0.00001412631,0.00001415185,0.00005052597,0.0001149372,0.0001194182],"domain_scores_gemma":[0.9993619,0.00002682225,0.0001304781,0.00002020352,0.0002913929,0.0001691418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003600608,0.00002924137,0.9953572,0.00001099008,0.00002459948,0.0002347215,0.001044092,0.00004335345,0.0006579376,0.0000149439,0.0003171748,0.002229717],"study_design_scores_gemma":[9.651235e-7,0.00001404759,0.9979438,0.00000703182,0.000007608157,0.00005379237,0.001645623,0.0000746732,0.00005439071,0.00000372727,0.0001909901,0.00000334618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991325,0.00004741379,0.00001900306,0.00002296808,0.000001861636,0.00001027495,0.0004375547,0.00000167821,0.000326847],"genre_scores_gemma":[0.9985605,0.0001168274,0.0000915677,0.00003600746,0.000001897846,0.00001123692,0.0006238393,0.00000149832,0.0005566153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02109212,"threshold_uncertainty_score":0.07150531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034485275433255,"score_gpt":0.2164463698567638,"score_spread":0.2061015171024313,"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."}}