{"id":"W2749690929","doi":"","title":"A Great Fish War Model with Asymmetric Players","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Profitability index; Economics; Asymmetry; Scheme (mathematics); Mathematical economics; Resource allocation; Fish <Actinopterygii>; Resource (disambiguation); Microeconomics; Econometrics; Computer science; Mathematics; Fishery","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":[0.001046297,0.0006117153,0.000926549,0.0005087458,0.0007825267,0.001444557,0.001462878,0.001635062,0.005336737],"category_scores_gemma":[0.002438352,0.0003668359,0.0007625547,0.0004793401,0.001663281,0.002125535,0.002218305,0.001355504,0.0004838011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367059,"about_ca_system_score_gemma":0.0008480274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006607157,"about_ca_topic_score_gemma":0.003993869,"domain_scores_codex":[0.9995234,0.0001759938,0.00001779101,0.00007490325,0.00007770239,0.0001302913],"domain_scores_gemma":[0.9990892,0.0003846037,0.0002004667,0.00007182757,0.00006202036,0.0001918888],"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":[0.0002560187,0.00008235347,0.001503323,0.00005753812,0.00008639174,0.0007602772,0.0003889283,0.536208,0.001776927,0.4540104,0.001323695,0.003546148],"study_design_scores_gemma":[0.000160246,0.00005997849,0.0004269377,0.00001557056,0.00002823088,0.0001349461,0.0002151045,0.8520105,0.0002228763,0.1448223,0.001872728,0.0000305308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.69353,0.0005329053,0.2399405,0.002550103,0.00009928531,0.0001249873,0.0004734973,0.0001189672,0.0626298],"genre_scores_gemma":[0.9826501,0.0001683289,0.005593041,0.0001251688,0.00002758417,0.00006396555,0.00007572156,0.00001388296,0.01128224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006607157,"threshold_uncertainty_score":0.01785314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762763923651857,"score_gpt":0.2486052702956074,"score_spread":0.2309776310590889,"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."}}