{"id":"W7133276356","doi":"","title":"Adjustment of a Bayesian surplus production model for Northern shrimp for stocks in the Gulf of St. Lawrence","year":2024,"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":"","keywords":"Shrimp; Stock (firearms); Estuary; Biomass (ecology); Stock assessment; Production model; Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003074032,0.0004101829,0.0004886662,0.0005484758,0.0004540053,0.001185935,0.001202596,0.0005951594,0.001222405],"category_scores_gemma":[0.005940132,0.0005905753,0.0008671069,0.0004068367,0.0005825226,0.0006337995,0.0006941407,0.0007028476,0.0002444886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002876706,"about_ca_system_score_gemma":0.003482094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.156734,"about_ca_topic_score_gemma":0.1259352,"domain_scores_codex":[0.9995776,0.0001678496,0.00002283302,0.00009440965,0.00008157963,0.00005568178],"domain_scores_gemma":[0.9987671,0.00071624,0.0001462981,0.00005455324,0.0002753983,0.0000404022],"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":[0.00003666421,0.0000133452,0.005513448,0.00001344323,0.00002659678,0.00003806109,0.00005301467,0.9851795,0.0004207723,0.003498707,0.000215379,0.004990856],"study_design_scores_gemma":[0.00001175308,0.00001745561,0.002719566,0.000008032824,0.0000165948,0.00001055172,0.0000243692,0.9944016,0.0002036274,0.002212416,0.0003624792,0.00001146734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7219197,0.0001442744,0.2692159,0.0004653821,0.00004083831,0.0001556109,0.0007905974,0.0003534172,0.006914306],"genre_scores_gemma":[0.9680687,0.00007514538,0.02649532,0.00005147088,0.000009864677,0.00009437431,0.0007898511,0.00006393076,0.004351514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.843266,"threshold_uncertainty_score":0.3116434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503815148269566,"score_gpt":0.2559459865464985,"score_spread":0.2409078350638029,"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."}}