{"id":"W2113455463","doi":"10.1080/00358533.2012.661532","title":"Seas, Oceans and Fisheries: A Challenge for Good Governance","year":2012,"lang":"en","type":"article","venue":"The Round Table","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; Fisheries law; Commonwealth; Fisheries management; Corporate governance; Sustainability; Fisheries science; Business; Subsidy; Resource (disambiguation); Environmental resource management; Selection (genetic algorithm); Fishing; Environmental planning; Geography; Political science; Economics; Ecology; Computer science; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01351978,0.0003959947,0.0008791772,0.0007004791,0.005936323,0.0153103,0.001229127,0.006808144,0.005402696],"category_scores_gemma":[0.00998308,0.0003728589,0.0003912989,0.0008396659,0.02010435,0.01095045,0.005903287,0.007966761,0.0009759729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003499863,"about_ca_system_score_gemma":0.01385131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240384,"about_ca_topic_score_gemma":0.01269983,"domain_scores_codex":[0.9927542,0.004059195,0.0002328943,0.0005958694,0.001087233,0.001270563],"domain_scores_gemma":[0.9905562,0.003881258,0.0007011659,0.0009545386,0.001494176,0.002412587],"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":[0.00001910505,0.00004543601,0.001829428,0.0001257704,0.00002572946,0.00017811,0.002448877,0.00148014,0.000275099,0.857527,0.09282218,0.04322324],"study_design_scores_gemma":[0.00002123661,0.00005311668,0.003334403,0.0006506178,0.00001534983,0.00008980139,0.008918642,0.0007900675,0.0001070372,0.741228,0.2447465,0.0000452053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01072263,0.01161162,0.00856097,0.9257434,0.001665774,0.00004207163,0.00005512398,0.00007527086,0.0415231],"genre_scores_gemma":[0.8237009,0.01934614,0.01482348,0.1090209,0.004319291,0.000230817,0.00009149058,0.00008349974,0.02838343],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0153103,"threshold_uncertainty_score":0.0715003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392672234117428,"score_gpt":0.2380142871467581,"score_spread":0.2140875648055838,"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."}}