{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188355,0.0008097505,0.000457874,0.002822406,0.00122522,0.004285776,0.0015757,0.001040871,0.004096035],"category_scores_gemma":[0.00102406,0.0003326595,0.0007119075,0.00266641,0.003119891,0.004933206,0.002179678,0.001376854,0.0002810624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004172588,"about_ca_system_score_gemma":0.00445832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461561,"about_ca_topic_score_gemma":0.01848803,"domain_scores_codex":[0.9995831,0.0002417274,0.0000180633,0.00005589037,0.00005804473,0.00004313991],"domain_scores_gemma":[0.9995,0.0001873844,0.00006599729,0.00002289584,0.0000795718,0.0001440714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001611083,0.000043999,0.001872917,0.00009619397,0.00004170436,0.0001204687,0.0007608453,0.04346554,0.0002077194,0.9448975,0.001123881,0.007353115],"study_design_scores_gemma":[0.00003142595,0.00006763906,0.001772186,0.0002070162,0.00008169098,0.0001057151,0.00224809,0.1132358,0.0001003563,0.8413502,0.04076653,0.0000334068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08853894,0.007171537,0.7050315,0.02240292,0.0004402632,0.0004173169,0.001524018,0.0004964393,0.173977],"genre_scores_gemma":[0.7646546,0.00534381,0.2217701,0.0006901824,0.0001493442,0.0006593434,0.0005113928,0.00006134668,0.006159892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461561,"threshold_uncertainty_score":0.03027445,"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."}}