{"id":"W4400493092","doi":"10.1093/icesjms/fsae084","title":"Adding the risk of stock collapse over time to stock assessments and harvest allocation decisions","year":2024,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Stock (firearms); Environmental science; Economics; Business; Econometrics; Geography","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":[0.004105777,0.0005267426,0.0004850368,0.001743167,0.0006472222,0.002509943,0.0008037454,0.00104602,0.002802756],"category_scores_gemma":[0.01639685,0.0004303572,0.0008587218,0.001102423,0.001067065,0.002004907,0.001311649,0.001332995,0.0002072666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003488263,"about_ca_system_score_gemma":0.002218582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1053225,"about_ca_topic_score_gemma":0.1196373,"domain_scores_codex":[0.9987521,0.0004271947,0.00009402076,0.0002065414,0.0003501989,0.0001698863],"domain_scores_gemma":[0.9927205,0.004164209,0.001732852,0.000358346,0.0007551069,0.0002689522],"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":[0.00008644914,0.00006449351,0.1228733,0.00002975373,0.000180293,0.0002075148,0.000205617,0.8447524,0.0004781313,0.01247275,0.0005741842,0.01807497],"study_design_scores_gemma":[0.000008194192,0.0001097685,0.05415051,0.00004536656,0.00009338453,0.00007350472,0.0003854517,0.9237514,0.000546674,0.01923938,0.001524331,0.00007199892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190741,0.0003293242,0.06801396,0.00125599,0.00005780473,0.0001122434,0.001097475,0.0000994501,0.009959538],"genre_scores_gemma":[0.9945778,0.000108376,0.004006898,0.00002707243,0.00001364517,0.0000116943,0.0001881401,0.000005580274,0.001060867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1053225,"threshold_uncertainty_score":0.209419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594001246971738,"score_gpt":0.2901344703820136,"score_spread":0.2641944579122962,"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."}}