{"id":"W7134169699","doi":"10.5281/zenodo.18916478","title":"5G and Digital Transformation in African Cities: A Malawi Perspective","year":2010,"lang":"en","type":"article","venue":"Open MIND","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Digital transformation; Information and Communications Technology; Investment (military); Urbanization; Perspective (graphical); Stakeholder; Digital strategy; The Internet; Digital divide","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":[0.0005013683,0.0003264302,0.000228547,0.001067622,0.001484044,0.002235056,0.000233249,0.0004702724,0.004631837],"category_scores_gemma":[0.001267107,0.0001770874,0.0002616814,0.002552364,0.00102641,0.001530344,0.001345275,0.000760125,0.0001201548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00348406,"about_ca_system_score_gemma":0.00250802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1408728,"about_ca_topic_score_gemma":0.1882692,"domain_scores_codex":[0.999574,0.0002166459,0.000009060445,0.00001908524,0.00002986367,0.0001512675],"domain_scores_gemma":[0.999549,0.0002364241,0.00008891121,0.00001559361,0.00006114235,0.00004893496],"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":[0.0002139541,0.0002346623,0.2349836,0.0005763305,0.0001554525,0.004066307,0.01598001,0.066969,0.001085301,0.5415052,0.008175704,0.1260546],"study_design_scores_gemma":[0.00009534867,0.0002858411,0.3313661,0.00177627,0.0003934673,0.001302319,0.1412596,0.2116491,0.00376207,0.1179035,0.1900331,0.0001734659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93375,0.005151697,0.00764242,0.01372907,0.00006029259,0.00009566581,0.0006746583,0.00002142447,0.03887474],"genre_scores_gemma":[0.9938653,0.002341904,0.001178989,0.0002054424,0.00001455405,0.00003182879,0.0000571887,0.000003315418,0.002301423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1408728,"threshold_uncertainty_score":0.2801056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311909659997174,"score_gpt":0.231764356422899,"score_spread":0.2186452598229273,"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."}}