{"id":"W4398186551","doi":"10.1177/21582440241250114","title":"Women Empowerment Status in the Coastal Fishing Communities of Bangladesh","year":2024,"lang":"en","type":"article","venue":"SAGE Open","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fishing; Empowerment; Socioeconomics; Geography; Fishery; Economic growth; Sociology; Economics","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":[0.001276518,0.0002150624,0.0002518876,0.0009695847,0.002529677,0.001187098,0.0002154945,0.0002732583,0.002556913],"category_scores_gemma":[0.002842619,0.0001799219,0.0001254068,0.001052045,0.001134434,0.0007917088,0.002187362,0.0004487254,0.0001923294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647244,"about_ca_system_score_gemma":0.00186493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02350072,"about_ca_topic_score_gemma":0.05600908,"domain_scores_codex":[0.9989552,0.0003610329,0.00006578216,0.00008246572,0.0001814742,0.0003540283],"domain_scores_gemma":[0.9992173,0.0001618711,0.0002418236,0.00002017857,0.0001272391,0.0002315837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001468992,0.000171845,0.7408316,0.0001528501,0.00002511506,0.00122477,0.197732,0.00008120194,0.00127745,0.002208881,0.001642199,0.05450525],"study_design_scores_gemma":[0.00001106449,0.0001654164,0.7084329,0.0001847762,0.000009569862,0.000384984,0.2794578,0.0001061014,0.0001442736,0.0006349366,0.01044028,0.00002798609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956135,0.0001775218,0.00002391177,0.0003940939,0.0000050555,0.00001864379,0.0000564742,7.369937e-7,0.003710141],"genre_scores_gemma":[0.9990063,0.0002429951,0.00003585898,0.0000499561,0.000002458062,0.00002275499,0.00003583863,5.566365e-7,0.0006031602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02350072,"threshold_uncertainty_score":0.04672784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144429929852911,"score_gpt":0.2629453879041485,"score_spread":0.2215010886056193,"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."}}