{"id":"W7133273846","doi":"","title":"Outside Pacific Spiny Dogfish Population Modelling in 2025","year":2025,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Groundfish; Fishing; Discards; Stock assessment; Escapement; Population; Bycatch; Fisheries management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005637046,0.0005263863,0.0004305487,0.0007413713,0.0006007167,0.001124057,0.001409086,0.001042933,0.007175441],"category_scores_gemma":[0.001500829,0.0004326791,0.0009446933,0.000744639,0.0003098374,0.000626582,0.0006883473,0.000638945,0.0009664909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203156,"about_ca_system_score_gemma":0.00254914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2547866,"about_ca_topic_score_gemma":0.1506917,"domain_scores_codex":[0.9998693,0.0000263651,0.000008379645,0.00004037961,0.00001952416,0.00003603355],"domain_scores_gemma":[0.9997062,0.00008355653,0.00004313979,0.00001568363,0.00009941015,0.00005204313],"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":[0.0000543411,0.0000327237,0.02426554,0.00004949545,0.00009225687,0.0002892594,0.00009690075,0.9593976,0.0002219032,0.003462808,0.003169811,0.008867338],"study_design_scores_gemma":[0.00001257405,0.00002043355,0.004794051,0.00002907497,0.00003475496,0.00008211634,0.0001067049,0.9895342,0.00006428344,0.00130591,0.004002644,0.00001328354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.856827,0.0009814097,0.0752281,0.001501331,0.0002193314,0.0001654228,0.01314033,0.0005873592,0.05134972],"genre_scores_gemma":[0.9662778,0.0003156778,0.01129912,0.0001822228,0.00002967426,0.0001848622,0.005137841,0.00008550872,0.01648731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7452134,"threshold_uncertainty_score":0.5066071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098340400747555,"score_gpt":0.2400983479544547,"score_spread":0.2291149439469791,"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."}}