{"id":"W1964162880","doi":"10.1177/0266666906065549","title":"Communication Networking: ICTs and health information in Africa","year":2006,"lang":"en","type":"article","venue":"Information Development","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Panacea (medicine); ICTS; Information and Communications Technology; Context (archaeology); Health care; Economic growth; Business; Public relations; Literacy; Political science; Medicine; 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":[0.00100033,0.000272396,0.0001337944,0.001440773,0.002272286,0.004292051,0.0002108123,0.001304607,0.006012389],"category_scores_gemma":[0.002392826,0.0001123788,0.00008533136,0.002295347,0.002999105,0.004411003,0.001469295,0.0007723549,0.000254665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992262,"about_ca_system_score_gemma":0.002027559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005019335,"about_ca_topic_score_gemma":0.003236929,"domain_scores_codex":[0.9991695,0.0005263874,0.00002424386,0.00004043828,0.00007725519,0.0001621155],"domain_scores_gemma":[0.9985732,0.0009863446,0.0002253482,0.0000189086,0.00008261835,0.00011364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008415385,0.00006989806,0.008860752,0.001009535,0.00001924873,0.001893665,0.04598698,0.001057419,0.0008157774,0.7378372,0.01982632,0.1825392],"study_design_scores_gemma":[0.00002311638,0.000112234,0.01815337,0.003489315,0.00002970377,0.003004703,0.06763478,0.00163493,0.0009087286,0.152929,0.7520364,0.00004368595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1510744,0.2099068,0.00419352,0.1402072,0.001352529,0.00006153682,0.00009038308,0.00004475857,0.493069],"genre_scores_gemma":[0.8960707,0.08127701,0.001058331,0.002973782,0.0007225294,0.00003446775,0.0000259196,0.000010635,0.01782664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006012389,"threshold_uncertainty_score":0.02011341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722675093521918,"score_gpt":0.2327914989027512,"score_spread":0.205564747967532,"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."}}