{"id":"W2348961083","doi":"","title":"A comparison study on the quota-based systems in fisheries management","year":2007,"lang":"en","type":"article","venue":"Chinese Fisheries Economics","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Task (project management); Field (mathematics); Business; Management system; Fisheries management; Computer science; Environmental resource management; Operations research; Environmental economics; Operations management; Fishery; Economics; Management; Political science; Fishing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009578271,0.0002808384,0.0004652601,0.002115858,0.001213275,0.002644968,0.0007398229,0.000644483,0.008331377],"category_scores_gemma":[0.01735507,0.0001312499,0.0005353933,0.003672152,0.001796903,0.005119666,0.001175067,0.0008063794,0.0002124542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009030942,"about_ca_system_score_gemma":0.003212044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325429,"about_ca_topic_score_gemma":0.02161099,"domain_scores_codex":[0.991724,0.005623526,0.0003047813,0.0004126669,0.001340006,0.0005950275],"domain_scores_gemma":[0.990888,0.00595611,0.000616984,0.0003354743,0.001852652,0.0003508526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001196082,0.0007719942,0.05965695,0.001075427,0.0003884382,0.0004013094,0.005161807,0.01815691,0.001934966,0.7405448,0.004387277,0.1663239],"study_design_scores_gemma":[0.0006551309,0.00580029,0.4435044,0.001067741,0.0006708445,0.0003030374,0.03900911,0.09044171,0.004463289,0.2984425,0.115356,0.0002860132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7185882,0.007774464,0.01983681,0.005863978,0.000360528,0.0005529221,0.0003247068,0.00003073625,0.2466676],"genre_scores_gemma":[0.9956364,0.0006721599,0.001355656,0.0001277402,0.00003083323,0.00005718237,0.00003817171,0.000003871207,0.002077865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02325429,"threshold_uncertainty_score":0.06552434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632628242263076,"score_gpt":0.2564210836228873,"score_spread":0.2300948012002565,"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."}}