{"id":"W2178255059","doi":"10.1579/0044-7447(2007)36[304:iamhts]2.0.co;2","title":"Is Adaptive Management Helping to Solve Fisheries Problems?","year":2007,"lang":"en","type":"article","venue":"AMBIO","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adaptive management; Great barrier reef; Plan (archaeology); Scale (ratio); Work (physics); Fisheries management; Risk analysis (engineering); Resource management (computing); Management science; Computer science; Resource (disambiguation); Natural resource management; Natural resource; Fish <Actinopterygii>; Environmental resource management; Business; Environmental planning; Operations research; Political science; Fishery; Engineering; Economics; Fishing; Geography; Reef; Law","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":[0.01755708,0.0009968142,0.001106757,0.001884029,0.003482938,0.007667384,0.002872183,0.009869593,0.0124224],"category_scores_gemma":[0.03010098,0.0003852228,0.0009001361,0.002384529,0.02030502,0.01378619,0.006268141,0.006173651,0.002756709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002260034,"about_ca_system_score_gemma":0.006018813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002841009,"about_ca_topic_score_gemma":0.002299275,"domain_scores_codex":[0.9905336,0.00501421,0.0003937838,0.001038884,0.001569809,0.001449713],"domain_scores_gemma":[0.9820642,0.009410124,0.002106705,0.001941968,0.002520574,0.001956403],"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":[0.00008748826,0.0002347359,0.008838281,0.001180075,0.0001819861,0.0005452436,0.004837245,0.002357391,0.0009310741,0.5151864,0.09282394,0.372796],"study_design_scores_gemma":[0.00004006601,0.00007697616,0.003168447,0.001144183,0.00004783982,0.0004663662,0.006285287,0.001649217,0.0003504767,0.732704,0.2539959,0.00007125258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007697823,0.02776373,0.03156172,0.8504308,0.005371375,0.00005504498,0.00005133952,0.0002160294,0.07685211],"genre_scores_gemma":[0.537122,0.09661169,0.06724811,0.2435815,0.01529661,0.0005173921,0.0001584153,0.0002821606,0.03918207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01755708,"threshold_uncertainty_score":0.09285188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692418664967881,"score_gpt":0.2554083391329879,"score_spread":0.2284841524833091,"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."}}