{"id":"W4214640203","doi":"10.3390/jmse10030338","title":"Pathways between Climate, Fish, Fisheries, and Management: A Conceptual Integrated Ecosystem Management Approach","year":2022,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Adaptability; Ecosystem-based management; Environmental resource management; Ecosystem; Fisheries management; Climate change; Marine ecosystem; Adaptive management; Abundance (ecology); Ecology; Fishing; Psychological resilience; Ecosystem management; Fishery; Environmental science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547632,0.0001304926,0.0001983155,0.0001937416,0.0003140536,0.0001273152,0.0004405198,0.00001812221,0.0006492113],"category_scores_gemma":[0.0000224502,0.0001134556,0.00002918623,0.0007805288,0.0002103802,0.0004901151,0.002910537,0.0002865328,0.000002120806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061447,"about_ca_system_score_gemma":0.00001378447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001564982,"about_ca_topic_score_gemma":0.000003018866,"domain_scores_codex":[0.9982296,0.00002592956,0.0003026584,0.0002422627,0.0008199618,0.0003796311],"domain_scores_gemma":[0.9995309,0.00002344299,0.0000949715,0.0001407427,0.00002290798,0.0001871029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001697429,0.0002282724,0.4501353,0.0007747795,0.0002159556,0.0006342744,0.001823564,0.004915554,0.000744174,0.004391298,0.01275157,0.5232155],"study_design_scores_gemma":[0.001251529,0.0005561991,0.2066973,0.00002765396,0.0000578128,0.0004243555,0.005311286,0.01872049,0.00004826576,0.00008412867,0.7663615,0.0004594811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7478699,0.00001643851,0.0007038779,0.0002904863,0.0002029076,0.0003532632,0.000020156,0.00003607675,0.2505069],"genre_scores_gemma":[0.9890314,0.0005799602,0.009259456,0.0001238973,0.0000610707,0.00003192611,0.000009033884,0.00002004202,0.0008832176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7536099,"threshold_uncertainty_score":0.7108409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467246640919367,"score_gpt":0.1927495179875648,"score_spread":0.1780770515783712,"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."}}