{"id":"W1538792486","doi":"","title":"A Guide to the Economic Evaluation of Individual Transferable Quota Fisheries","year":2000,"lang":"en","type":"preprint","venue":"Iowa State University Digital Repository (Iowa State University)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Profitability index; Fisheries management; Sustainability; Productivity; Equity (law); Fishery; Economic efficiency; Business; Environmental economics; Natural resource economics; Economics; Environmental resource management; Fishing; Microeconomics; Ecology; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002285985,0.0006584408,0.001017998,0.002238326,0.0008933141,0.001380948,0.00505071,0.0002933435,0.0002088113],"category_scores_gemma":[0.0003686763,0.0006366171,0.000834319,0.00186061,0.0007660254,0.001775524,0.001817478,0.0007104863,0.0002131108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177216,"about_ca_system_score_gemma":0.00292211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023482,"about_ca_topic_score_gemma":0.002137493,"domain_scores_codex":[0.9916008,0.00126081,0.001138776,0.001804052,0.003486875,0.0007087478],"domain_scores_gemma":[0.9940213,0.0009710102,0.0009451362,0.002113152,0.001526699,0.0004226933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001104212,0.0002976266,0.004279979,0.00004887203,0.001108951,0.0004641278,0.01180464,0.8906043,0.0001331122,0.0003242719,0.0352655,0.05456449],"study_design_scores_gemma":[0.002431408,0.000458539,0.006938903,0.0002761056,0.001788729,0.00003392605,0.01866718,0.01762413,0.001502288,0.003770289,0.9445767,0.001931851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8546286,0.00007902467,0.003598487,0.000477825,0.0007851425,0.001009373,0.002425041,0.0001271587,0.1368693],"genre_scores_gemma":[0.8863478,0.00009963062,0.000232008,0.00005420978,0.00006227906,7.187871e-7,0.0001001087,0.00004052328,0.1130628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9093112,"threshold_uncertainty_score":0.9996557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04894929241658551,"score_gpt":0.2824529129486167,"score_spread":0.2335036205320312,"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."}}