{"id":"W4393937334","doi":"10.53555/sfs.v10i5.2425","title":"Media Empowerment: Driving Rural Development Through Information And Communication","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empowerment; Rural development; Development (topology); Business; Political science; Geography","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":[0.002362791,0.0003374392,0.0001289933,0.001055502,0.003158836,0.006770828,0.0006225989,0.001316194,0.008256392],"category_scores_gemma":[0.003390096,0.0001501055,0.0002224081,0.001021599,0.004652338,0.005520093,0.006546927,0.001525771,0.001175133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231805,"about_ca_system_score_gemma":0.003786679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907307,"about_ca_topic_score_gemma":0.003300641,"domain_scores_codex":[0.9986421,0.0007723743,0.00002914852,0.00008964788,0.0001740306,0.0002926538],"domain_scores_gemma":[0.9974975,0.001273076,0.0003220649,0.000110038,0.0002619848,0.0005353845],"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":[0.0001061372,0.0004671757,0.01777714,0.001827146,0.00003975165,0.001798074,0.06941494,0.0009845325,0.00788726,0.4173973,0.03580284,0.4464977],"study_design_scores_gemma":[0.0000336994,0.0002831719,0.01104594,0.001554411,0.0000386329,0.0007708871,0.0859518,0.001179686,0.004783223,0.117192,0.7771153,0.00005114334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2161719,0.008502226,0.03278056,0.1631096,0.0009062746,0.0004325403,0.0002092958,0.0004068328,0.5774808],"genre_scores_gemma":[0.9442042,0.008866741,0.01186057,0.004737362,0.0003340796,0.0001798859,0.00007493869,0.0000626742,0.0296796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008256392,"threshold_uncertainty_score":0.02762043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090848238550829,"score_gpt":0.2627958169234072,"score_spread":0.1537109930683243,"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."}}