{"id":"W2140368916","doi":"10.1111/j.1939-7445.2001.tb00072.x","title":"MIXED‐STOCK VS. TERMINAL FISHERIES: A BIOECONOMIC MODEL","year":2001,"lang":"en","type":"article","venue":"Natural Resource Modeling","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Stock (firearms); Incentive; Fishery; Restructuring; Economics; Natural resource economics; Business; Microeconomics; Geography; Finance; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001013679,0.0008837125,0.0008481802,0.0006782599,0.0009030698,0.003624226,0.002604562,0.003571817,0.009888736],"category_scores_gemma":[0.002424925,0.0006502377,0.0009550487,0.001009797,0.001794873,0.004577452,0.001422808,0.002065794,0.001172317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003178884,"about_ca_system_score_gemma":0.001995203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224907,"about_ca_topic_score_gemma":0.008201575,"domain_scores_codex":[0.9996715,0.0001330838,0.00001146147,0.00005998551,0.00004653148,0.00007755354],"domain_scores_gemma":[0.9990528,0.0004466662,0.0001119174,0.00004307617,0.00008693307,0.0002585546],"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":[0.00009548032,0.00008859554,0.000964719,0.0000564283,0.00004174987,0.0002395974,0.0000881281,0.6358603,0.000381367,0.3563572,0.002430857,0.003395604],"study_design_scores_gemma":[0.00008005078,0.00006458958,0.0004553989,0.00003728147,0.00003455642,0.000053371,0.00008421723,0.866612,0.00007456511,0.1293394,0.00314078,0.00002378176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.316906,0.004173095,0.430055,0.01570607,0.0005085342,0.0003714416,0.003498336,0.0003779122,0.2284037],"genre_scores_gemma":[0.9365439,0.001939025,0.01385211,0.0005481737,0.0001405155,0.0003116761,0.0004368351,0.00004837494,0.04617925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01224907,"threshold_uncertainty_score":0.03308111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563776770160168,"score_gpt":0.2530012085458774,"score_spread":0.2173634408442757,"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."}}