{"id":"W2034467479","doi":"10.1016/j.marpol.2012.10.018","title":"Women and fisheries: Contribution to food security and local economies","year":2012,"lang":"en","type":"article","venue":"Marine Policy","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":368,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"University of British Columbia; Pew Charitable Trusts","keywords":"Fisheries law; Food security; Fishery; Poverty; Fisheries management; Work (physics); Marine fisheries; Scale (ratio); Revenue; Geography; Fisheries science; Business; Economics; Fishing; Economic growth; Agriculture; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001186652,0.00009118679,0.0001303221,0.00002293784,0.00009706565,0.00002158249,0.00003898298,0.00002338847,0.0003151771],"category_scores_gemma":[0.00004880905,0.00007939252,0.00001029461,0.00007140647,0.00008859178,0.0001737422,0.0009916946,0.00003702244,0.00007594905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171459,"about_ca_system_score_gemma":0.0000031589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003534865,"about_ca_topic_score_gemma":0.002207922,"domain_scores_codex":[0.9994094,0.00001420785,0.00009551323,0.0001288541,0.0000445874,0.0003074365],"domain_scores_gemma":[0.9996899,0.00002133941,0.00002216443,0.00007881344,0.000003464783,0.0001843152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002418104,0.00002623465,0.9509762,0.00001533998,0.00001343028,2.428347e-7,0.002282682,5.601259e-7,0.00002127649,0.002808567,0.002035194,0.0417961],"study_design_scores_gemma":[0.000192405,0.0001771566,0.7782083,0.000001607989,0.000003012025,0.000009843788,0.0002367367,0.00003194946,0.00006125173,0.005487199,0.2154662,0.0001243091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845002,0.00002863057,0.00001679457,0.001914765,0.00004892706,0.0001347336,0.00001038071,0.0000229978,0.01332262],"genre_scores_gemma":[0.9985602,0.00003183561,0.00002562179,0.000436764,0.0001485155,0.00004692297,0.000002042869,0.000004527235,0.0007435559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.213431,"threshold_uncertainty_score":0.5343682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00834064982348467,"score_gpt":0.2044121649989198,"score_spread":0.1960715151754351,"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."}}