{"id":"W7135196134","doi":"10.5281/zenodo.19010558","title":"Satellite-Based Interactive Learning Platforms and Education Access among Secondary School Children in Malawi: A Comparative Study","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Sample (material); Stratified sampling; Data collection; Qualitative property; Educational technology; Digital divide; Interactive Learning; Multimethodology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004851315,0.0001511344,0.0001615104,0.0004858529,0.001142972,0.002655459,0.001746013,0.00003966169,0.001320012],"category_scores_gemma":[0.0002661564,0.0001537579,0.00001865833,0.0006628591,0.0001286056,0.00228508,0.002355339,0.0006115212,0.00106917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001875834,"about_ca_system_score_gemma":0.00002521335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002690023,"about_ca_topic_score_gemma":0.000004677859,"domain_scores_codex":[0.9984505,0.0004369581,0.0002556013,0.0003428144,0.0002463246,0.0002678284],"domain_scores_gemma":[0.9987801,0.00007622867,0.0001323273,0.0004206395,0.0004677931,0.0001229168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001673819,0.002645076,0.09030832,0.0002122058,0.0002787985,0.00001845163,0.1265519,0.001094535,0.0005318032,0.006827981,0.02407333,0.7472903],"study_design_scores_gemma":[0.0008575204,0.0003988746,0.9773335,0.0001385703,0.00000478144,0.00003238251,0.005102297,0.006216788,0.0003803427,0.001196865,0.008009338,0.0003287669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707687,0.00004576683,0.00280174,0.0002275582,0.00006537442,0.001001518,0.000003652518,0.00040606,0.02467956],"genre_scores_gemma":[0.9984333,0.00001462883,0.0007462197,0.0001360719,0.00002583677,6.380161e-7,0.0001791483,0.000206042,0.0002581354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8870252,"threshold_uncertainty_score":0.9997086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805175776055775,"score_gpt":0.2851317416555074,"score_spread":0.2470799838949496,"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."}}