{"id":"W4415628467","doi":"10.5751/es-16531-300416","title":"Mobile apps increase the visibility of women’s work contributions in Mexican small-scale fisheries","year":2025,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Svenska Forskningsrådet Formas; University of California, Santa Barbara; National Science Foundation","keywords":"Visibility; Sustainability; Fishing; Work (physics); Citizen science; Citizen journalism; Mobile apps; Mobile technology; Delegate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001921026,0.0003640085,0.0001544393,0.0008093058,0.001965565,0.002351289,0.0004077832,0.0005958049,0.008558946],"category_scores_gemma":[0.005946411,0.0001832194,0.00028674,0.0004137813,0.001131547,0.001497497,0.004088516,0.0004822067,0.0005787671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007753932,"about_ca_system_score_gemma":0.001311911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005484172,"about_ca_topic_score_gemma":0.0115059,"domain_scores_codex":[0.9989593,0.0005822264,0.00003533007,0.0001173522,0.0001416864,0.0001640475],"domain_scores_gemma":[0.997898,0.001256616,0.0003416118,0.0001241217,0.0001739563,0.00020565],"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":[0.0004565391,0.0007695946,0.2029264,0.001486137,0.00006505453,0.001929716,0.2776451,0.0001844916,0.009372623,0.004262221,0.01681455,0.4840876],"study_design_scores_gemma":[0.0001537689,0.001185214,0.3213017,0.002140029,0.0002362491,0.0008823467,0.3917228,0.0009633226,0.003789809,0.002980094,0.2745565,0.00008823071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453251,0.0006132939,0.002421782,0.003815716,0.0001036829,0.0002222125,0.000251284,0.00009034214,0.04715659],"genre_scores_gemma":[0.9872823,0.0006095357,0.003145805,0.0004550432,0.00004061252,0.0002397955,0.00008056117,0.00001955666,0.008126791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008558946,"threshold_uncertainty_score":0.02863258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005319796541486676,"score_gpt":0.2191773446389125,"score_spread":0.2138575480974259,"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."}}