{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006031921,0.000200847,0.0004692851,0.000369995,0.000182775,0.00006614469,0.0002371625,0.00006863132,0.001277828],"category_scores_gemma":[0.00002209383,0.000194134,0.00002408145,0.001475276,0.0001305979,0.0001976155,0.0005058682,0.0001400611,0.000005607293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002454052,"about_ca_system_score_gemma":0.0009527713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9241214,"about_ca_topic_score_gemma":0.7132117,"domain_scores_codex":[0.9974893,0.00007438127,0.0005780304,0.0003929509,0.0006227709,0.0008425254],"domain_scores_gemma":[0.9994245,0.00005226717,0.0001359483,0.000189293,0.00006289298,0.0001351323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003529206,0.0001169679,0.9878629,0.0002026994,0.0001792786,0.0003819214,0.001883144,0.002121439,0.00001932535,0.001186558,0.005762189,0.0002483108],"study_design_scores_gemma":[0.0002229622,0.00001345971,0.7004144,0.000004034486,0.00002096019,0.000001180397,0.0137866,0.0001862794,0.0002900675,0.00002253693,0.2848261,0.0002114699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677026,0.00002927043,0.0000500709,0.00003900213,0.00001641212,0.0005415599,0.000002013279,0.000009325558,0.03160971],"genre_scores_gemma":[0.9439196,0.000002253619,0.0006232458,0.00001628844,0.000005061912,0.000152955,0.00005007519,0.00000701051,0.05522349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2874485,"threshold_uncertainty_score":0.9996352,"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."}}