{"id":"W273815955","doi":"","title":"Stochastic Optimal Harvesting Applied to Fisheries","year":2013,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Fishing; Computer science; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001596036,0.0004866138,0.000798615,0.0004334393,0.0005211867,0.001099602,0.0009931623,0.001424301,0.001362349],"category_scores_gemma":[0.005401605,0.000444599,0.000614914,0.0005197721,0.001563644,0.001385047,0.001486733,0.001105793,0.00008597597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142538,"about_ca_system_score_gemma":0.001386556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005730133,"about_ca_topic_score_gemma":0.003392876,"domain_scores_codex":[0.9994745,0.00025752,0.00002395478,0.00008330215,0.0001002992,0.00006044378],"domain_scores_gemma":[0.9983245,0.001132688,0.0001714846,0.0001157259,0.0001631512,0.00009242575],"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":[0.00002441072,0.00003613583,0.0002756678,0.00003556206,0.00001848438,0.00004252845,0.00006134414,0.8347452,0.001909975,0.1570251,0.0001962447,0.005629271],"study_design_scores_gemma":[0.000006700194,0.0000147676,0.00005485104,0.000004971494,0.000004387914,0.000005753569,0.000008001176,0.9726315,0.0001950792,0.02689114,0.0001769126,0.000005901959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1603134,0.0004705339,0.8288296,0.001519022,0.00008224799,0.00004361306,0.00003305904,0.00008376427,0.008624703],"genre_scores_gemma":[0.9491535,0.0003103775,0.045244,0.0001508585,0.00004160756,0.00005033469,0.00001817603,0.00004815252,0.004982933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005730133,"threshold_uncertainty_score":0.01139355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815236932990215,"score_gpt":0.2060457504252967,"score_spread":0.1878933810953946,"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."}}