{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001962409,0.0001336036,0.0001963559,0.0001853294,0.0003765567,0.0002537815,0.0009161864,0.00006356157,0.0003693532],"category_scores_gemma":[0.00006380612,0.000163692,0.00006591705,0.0005223033,0.0001478194,0.001058594,0.0005088553,0.0001309928,0.0005241678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005782026,"about_ca_system_score_gemma":0.00007752189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003988857,"about_ca_topic_score_gemma":0.00009245647,"domain_scores_codex":[0.9988028,0.00004262506,0.0001317596,0.0003537728,0.0003223166,0.0003467702],"domain_scores_gemma":[0.9989527,0.00009171127,0.000094943,0.0003988735,0.0002161783,0.0002455793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001293082,0.00006712019,0.0003454681,0.00003357609,0.00004056513,0.000004797293,0.00727596,0.05767125,0.0001051054,0.9295453,0.003997633,0.000900229],"study_design_scores_gemma":[0.0004920462,0.0001109717,0.001776551,0.00001714203,0.000008660607,0.00000498359,0.002468241,0.07950024,0.000001971978,0.9148491,0.0004799812,0.0002901221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2377585,0.000007776759,0.7556412,0.0009026515,0.00008065931,0.0002834856,0.000002552276,0.0001462421,0.005176853],"genre_scores_gemma":[0.8306422,0.000001326167,0.1658614,0.0001843057,0.00002268185,0.000001808904,0.000005278507,0.00000891473,0.003272084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5928837,"threshold_uncertainty_score":0.6737292,"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."}}