{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003404117,0.0001087356,0.0003257034,0.001310522,0.0001466248,0.00003326212,0.0007121064,0.0001377855,0.000006524326],"category_scores_gemma":[0.0006396352,0.00009310678,0.00005956698,0.0005311497,0.00009607864,0.001641195,0.000141286,0.001186389,0.00003591434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756356,"about_ca_system_score_gemma":0.00003173576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008847021,"about_ca_topic_score_gemma":0.001092405,"domain_scores_codex":[0.9978538,0.00004271982,0.001800727,0.000009559846,0.00003720958,0.0002560517],"domain_scores_gemma":[0.9978628,0.0005170408,0.001209456,0.0003135116,0.00004891707,0.00004832743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008223629,0.0001436712,0.6518878,0.00009868754,0.0000665238,5.450115e-7,0.2991592,0.00264558,0.00000721542,0.0419181,0.0003373155,0.003653129],"study_design_scores_gemma":[0.001381599,0.0001546403,0.7127019,0.0001039658,0.000008341126,0.00003355838,0.2095437,0.001206844,0.000188051,0.07122116,0.003211431,0.0002448258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889686,0.00009018761,0.001527783,0.0004283141,0.00009523303,0.00008536931,0.000007071164,0.000008489352,0.008789009],"genre_scores_gemma":[0.9991546,0.00004696854,0.0001604827,0.0006099786,0.00001722828,4.98863e-7,0.000002813602,0.000004559678,0.000002825723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08961549,"threshold_uncertainty_score":0.5154334,"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."}}