{"id":"W1984578437","doi":"10.5539/jsd.v5n10p28","title":"Correlates of Revenue among Small Scale Women Fish Processors in Coastal Ghana","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Multinomial logistic regression; Ordinary least squares; Business; Fish processing; Fish <Actinopterygii>; Revenue model; Fishery; Economics; Finance; Econometrics; Biology; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853179,0.0001356071,0.0005160542,0.0004931073,0.00008699679,0.00002056761,0.0002289901,0.0001171814,0.00006790718],"category_scores_gemma":[0.0001584123,0.0001457095,0.00006830055,0.000471758,0.00005518835,0.0005220274,0.0001445425,0.0002379377,0.00001390401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000527253,"about_ca_system_score_gemma":0.0002096605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278541,"about_ca_topic_score_gemma":0.00007949456,"domain_scores_codex":[0.998036,0.0000132231,0.001175798,0.0001286468,0.00006840063,0.0005779001],"domain_scores_gemma":[0.9984834,0.00002277915,0.001092113,0.0001043411,0.000183841,0.000113578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008877501,0.0003436182,0.9683218,0.0002607847,0.00002741005,0.00005399951,0.02613445,0.00004244378,0.00003859104,0.002535912,0.0008644215,0.001287777],"study_design_scores_gemma":[0.0009189851,0.0001197401,0.9366784,0.0001906346,0.000003898971,0.00001899688,0.01322611,0.00001196284,0.001911364,0.003117616,0.04353442,0.0002678304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996699,0.001373903,0.0003547719,0.00007689224,0.0002325411,0.0001612244,0.00001039793,0.000002978046,0.001088287],"genre_scores_gemma":[0.9950569,0.0002145195,0.0008526467,0.00005238471,0.00007515303,0.00001342778,0.000002631981,0.00001695974,0.00371542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04267,"threshold_uncertainty_score":0.594186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270203364516439,"score_gpt":0.1943587484039439,"score_spread":0.1816567147587795,"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."}}