{"id":"W4413939374","doi":"10.1093/icesjms/fsaf155","title":"The genomic consequences of fisheries collapse in a marine fish","year":2025,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute; Fisheries and Oceans Canada; Mitacs; Alliance de recherche numérique du Canada; Dalhousie University","keywords":"Fishery; Fish <Actinopterygii>; Marine fish; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002251079,0.0001038553,0.0001679089,0.0006832529,0.0004228296,0.0004126742,0.0001818769,0.0002520377,0.001406644],"category_scores_gemma":[0.0006985774,0.00008574868,0.0001857225,0.0005981885,0.0003784513,0.0001713301,0.0004709193,0.0003531096,0.0001243735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006603534,"about_ca_system_score_gemma":0.0002891727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179839,"about_ca_topic_score_gemma":0.02589108,"domain_scores_codex":[0.9998386,0.00001908735,0.00001142053,0.00005231616,0.00003651115,0.00004209772],"domain_scores_gemma":[0.9995508,0.00005322392,0.0001895143,0.00002767759,0.00007706674,0.0001018061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004176303,0.000068539,0.8765028,0.00003761251,0.0001350269,0.0005298832,0.0006390162,0.0004527692,0.1108262,0.0001942852,0.0003993794,0.00979699],"study_design_scores_gemma":[7.786469e-7,0.00003368564,0.998682,0.000002898382,0.00000834614,0.00008312885,0.0001852118,0.0001338569,0.0006554917,0.00003797447,0.0001746424,0.000001892773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992359,0.00005761916,0.00008480249,0.00003576748,0.000002429661,0.000002315266,0.0002758797,0.000003000669,0.0003023131],"genre_scores_gemma":[0.9990361,0.00003806121,0.00009356529,0.00005809834,0.000002173959,0.000004074198,0.0004466342,0.000002155005,0.000319169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02179839,"threshold_uncertainty_score":0.04334307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343010054759071,"score_gpt":0.2778145091457858,"score_spread":0.2643844085981951,"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."}}