{"id":"W1967638262","doi":"10.1139/cjfas-2014-0338","title":"An ecosystem-driven model for spatial dynamics and stock assessment of North Atlantic albacore","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Albacore; Maximum sustainable yield; Stock assessment; Stock (firearms); Environmental science; Fishing; Population; Overfishing; Fishery; Climate change; Ecology; Tuna; Fisheries management; Geography; Biology","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":[0.0004729768,0.0006087718,0.0006799168,0.0004244524,0.0005551862,0.0009553255,0.001847901,0.001448995,0.003043639],"category_scores_gemma":[0.0009796438,0.0004683107,0.0007807967,0.0005453161,0.0004335201,0.0005782634,0.001018679,0.000991879,0.0003650417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286971,"about_ca_system_score_gemma":0.001586127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06506246,"about_ca_topic_score_gemma":0.05307467,"domain_scores_codex":[0.9998611,0.00003673312,0.000009948763,0.00003918201,0.00002190913,0.00003114474],"domain_scores_gemma":[0.999713,0.000118551,0.00004852994,0.00001284085,0.00007186481,0.00003521357],"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":[0.00001619121,0.00001418455,0.00219067,0.00001700793,0.00002620087,0.00008123623,0.00001969573,0.9914007,0.00034985,0.003450004,0.0003836507,0.002050682],"study_design_scores_gemma":[0.000004153659,0.000005203665,0.0003480973,0.00000188514,0.000005171552,0.000007933309,0.000006301823,0.9988227,0.00001901493,0.0005081002,0.0002683936,0.00000287995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4561907,0.0008511106,0.5111244,0.001534277,0.0002623715,0.0001888443,0.004339238,0.0008887627,0.02462022],"genre_scores_gemma":[0.9639906,0.0002371372,0.0204574,0.0001112988,0.00004884856,0.0003248168,0.001020419,0.00006033649,0.01374912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06506246,"threshold_uncertainty_score":0.1293675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572481122609174,"score_gpt":0.2706094258255876,"score_spread":0.2348846145994959,"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."}}