{"id":"W4410977471","doi":"10.1007/s43621-025-01227-4","title":"Gender dynamics, climate change threats and illegal, unreported, and unregulated fishing","year":2025,"lang":"en","type":"article","venue":"Discover Sustainability","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Fishing; Climate change; Business; Fishery; Natural resource economics; Environmental planning; Geography; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002169501,0.0003814797,0.0002881663,0.003372959,0.001002836,0.002352934,0.0003973218,0.000491686,0.02764015],"category_scores_gemma":[0.006049987,0.00008732695,0.0004668634,0.005092106,0.00119188,0.001375368,0.001432749,0.0004396818,0.001336139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107939,"about_ca_system_score_gemma":0.001546472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004395551,"about_ca_topic_score_gemma":0.01193101,"domain_scores_codex":[0.9991546,0.0003158598,0.00005533548,0.0001505028,0.0002383912,0.00008535159],"domain_scores_gemma":[0.9958946,0.00269561,0.0006565742,0.0001647674,0.000467638,0.0001208635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006868172,0.00008427246,0.1681513,0.02102429,0.0007521352,0.002205894,0.03521527,0.002584922,0.004383903,0.1267221,0.1208356,0.5173535],"study_design_scores_gemma":[0.0000240979,0.0002025705,0.2395063,0.01195244,0.0007875038,0.001322418,0.07164007,0.001194026,0.003950072,0.06168061,0.6076527,0.00008714679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4992009,0.1473174,0.01088554,0.03614283,0.004058675,0.0003209324,0.03286595,0.0002158051,0.2689919],"genre_scores_gemma":[0.9419997,0.03725979,0.002521341,0.001076922,0.000869224,0.00007944218,0.002704168,0.00006184904,0.01342742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02764015,"threshold_uncertainty_score":0.09246546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07011987783360489,"score_gpt":0.3474528925731172,"score_spread":0.2773330147395123,"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."}}