{"id":"W4380874471","doi":"10.1002/9781119511847.ch14","title":"Adaptive, Robust, and Precautionary Management","year":2023,"lang":"en","type":"other","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Precautionary principle; Fisheries management; Adaptive management; Risk management; Fishery; Face (sociological concept); Environmental resource management; Business; Risk analysis (engineering); Economics; Ecology; Fishing; Sociology; 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":[0.004735227,0.00085722,0.000450854,0.001150414,0.001068063,0.004599279,0.00187123,0.002074226,0.007473621],"category_scores_gemma":[0.009875378,0.0002523727,0.0004401321,0.001091179,0.004981863,0.003631524,0.003820386,0.001914393,0.001380085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164142,"about_ca_system_score_gemma":0.003542664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005401302,"about_ca_topic_score_gemma":0.004645816,"domain_scores_codex":[0.9957315,0.0009763734,0.0002335725,0.0005937865,0.002145193,0.0003195524],"domain_scores_gemma":[0.9964991,0.001194051,0.000658644,0.0006753831,0.0007224854,0.0002502311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003092646,0.00003718481,0.001332407,0.0001638314,0.00004197027,0.0001236998,0.0003968845,0.02414862,0.0007453982,0.7676115,0.01259915,0.1927684],"study_design_scores_gemma":[0.000009032179,0.00005422352,0.001367403,0.0002411766,0.00002001344,0.0001513349,0.0003310124,0.02837042,0.0007871323,0.8454792,0.1231378,0.00005126779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01194281,0.02032323,0.5852131,0.02942339,0.0008815175,0.0002249859,0.0003769019,0.0007528231,0.3508612],"genre_scores_gemma":[0.6304322,0.0227732,0.2484421,0.005713061,0.001731575,0.0006008819,0.0003774836,0.0004406493,0.08948888],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007473621,"threshold_uncertainty_score":0.02504259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235495401084256,"score_gpt":0.2287092064371873,"score_spread":0.2063542524263448,"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."}}