{"id":"W2099521390","doi":"10.15353/joci.v3i2.2380","title":"Factors Influencing Information Delivery Technology Choice in Deprived Regions in Ghana","year":2007,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Proxy (statistics); Business; Information and Communications Technology; Context (archaeology); Marketing; Rural area; Economic growth; Public economics; Economics; Geography; Political science","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":[0.0005469551,0.0001109439,0.0001892895,0.000500407,0.0007168566,0.0007998396,0.0001601668,0.000207938,0.002762903],"category_scores_gemma":[0.003811683,0.0001500685,0.0001299404,0.001294857,0.0006420329,0.0004639748,0.0005449457,0.0002857208,0.0001589787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107343,"about_ca_system_score_gemma":0.0007294307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03785812,"about_ca_topic_score_gemma":0.04594442,"domain_scores_codex":[0.9994204,0.0003042253,0.00003104376,0.00003394019,0.00005486151,0.0001555591],"domain_scores_gemma":[0.9976921,0.001032049,0.0008714295,0.00005087845,0.0001216933,0.0002318478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002208566,0.0001479151,0.9649956,0.00009598482,0.00002930215,0.001021034,0.01623231,0.0004345112,0.001361246,0.0008725089,0.0003709516,0.0142177],"study_design_scores_gemma":[0.0000137318,0.0001243619,0.9516922,0.00005131076,0.00001213676,0.0003891652,0.04494607,0.0005435483,0.0001914377,0.0003072096,0.001720074,0.000008879407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993007,0.00005537393,0.00003331397,0.0001232057,4.810125e-7,0.000005036752,0.00002983791,4.578278e-7,0.0004515942],"genre_scores_gemma":[0.9997848,0.00005455786,0.00003327268,0.00001174914,6.005218e-7,0.000003706529,0.00001227215,4.881849e-7,0.00009853935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03785812,"threshold_uncertainty_score":0.07527554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05613124881050784,"score_gpt":0.2496574743221689,"score_spread":0.193526225511661,"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."}}