{"id":"W648616368","doi":"10.1002/9781119511847.ch21","title":"Fisheries and Climate Change","year":2023,"lang":"en","type":"other","venue":"","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Climate change; Livelihood; Vulnerability (computing); Geography; Fishery; Environmental resource management; Adaptation (eye); Range (aeronautics); Environmental science; Ecology; Engineering; Agriculture; Biology","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":[0.0006183806,0.0004055759,0.0001997097,0.0007775723,0.001760025,0.003769317,0.0004273631,0.001821982,0.03082654],"category_scores_gemma":[0.001246195,0.00008279641,0.0002452338,0.001937375,0.001872332,0.002283981,0.00241397,0.001663112,0.005386762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022302,"about_ca_system_score_gemma":0.002548527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01428555,"about_ca_topic_score_gemma":0.01813998,"domain_scores_codex":[0.9995731,0.0001249861,0.00001349749,0.00006194638,0.0001468208,0.00007979959],"domain_scores_gemma":[0.9996822,0.0001026322,0.00003858538,0.00002452963,0.00009511671,0.00005700168],"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":[0.00001665732,0.00003957815,0.002581896,0.0003805709,0.00001908131,0.0002339178,0.00165241,0.0009161708,0.0002899203,0.5038686,0.2831707,0.2068305],"study_design_scores_gemma":[0.000001311983,0.000005330382,0.001407856,0.000208877,0.000002376966,0.00007180557,0.0006257021,0.00008456385,0.00004765643,0.04028587,0.9572522,0.000006419577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003515308,0.08248135,0.001202757,0.05450978,0.003330583,0.00002448859,0.0003911588,0.00008585655,0.8544587],"genre_scores_gemma":[0.1674545,0.2800108,0.003320403,0.02545391,0.005598872,0.0001068417,0.0007189327,0.0001514041,0.5171843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03082654,"threshold_uncertainty_score":0.103125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162944498358125,"score_gpt":0.2003788950589508,"score_spread":0.1840844452231383,"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."}}