{"id":"W2124866451","doi":"10.1002/sd.291","title":"A comparative analysis of sustainable fishery development indicator systems in Australia and Canada","year":2006,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council; Fisheries Agency,Council of Agriculture; Cardiff University; Fisheries Research and Development Corporation; Council of Agriculture","keywords":"Sustainability; Dashboard; Agriculture; Sustainable development; Business; Analytic hierarchy process; Environmental resource management; Fisheries management; Management system; Presentation (obstetrics); Environmental planning; Process management; Environmental economics; Fishery; Computer science; Geography; Political science; Operations research; Economics; Operations management; Fishing; Engineering; Ecology","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":[0.006269941,0.0003038812,0.0004817505,0.008100351,0.001889271,0.003488369,0.0006265736,0.0001793856,0.001313494],"category_scores_gemma":[0.0210577,0.0001982608,0.0003369922,0.01702969,0.0008665926,0.0008014666,0.001692498,0.0003783921,0.00009575544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0493672,"about_ca_system_score_gemma":0.04089097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9625779,"about_ca_topic_score_gemma":0.9666035,"domain_scores_codex":[0.9936063,0.001185856,0.000277809,0.0002129136,0.003967848,0.0007492444],"domain_scores_gemma":[0.9796735,0.002646781,0.0009546411,0.0002777631,0.01535669,0.001090732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009040246,0.0001497572,0.6870451,0.0008807629,0.0004161896,0.0004239112,0.01015873,0.02028589,0.001841721,0.02635531,0.00690425,0.2446343],"study_design_scores_gemma":[0.00004036391,0.0002203685,0.9354548,0.0002386415,0.0001887,0.0001052438,0.01431027,0.02234651,0.001904383,0.001634701,0.02344351,0.0001124595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549237,0.001203393,0.00229218,0.0005515014,0.00002388841,0.0002472739,0.00159059,0.00008679724,0.03908052],"genre_scores_gemma":[0.9943904,0.0004215766,0.002566291,0.00002537634,0.00000228445,0.00004919885,0.0008617162,0.0000102392,0.001672945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9506328,"threshold_uncertainty_score":0.3581858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091483753546495,"score_gpt":0.2351513625827668,"score_spread":0.2242365250473018,"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."}}