{"id":"W3033372266","doi":"10.1109/access.2020.3000093","title":"Exploring Key Issues Affecting African Mobile eCommerce Applications Using Sentiment and Thematic Analysis","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sentiment analysis; Thematic analysis; Computer science; Key (lock); Thematic map; The Internet; World Wide Web; Data science; Internet privacy; Artificial intelligence; Qualitative research; Computer security; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000216292,0.0001400312,0.0002960004,0.000214938,0.0002518308,0.0006473109,0.0006684221,0.00001933896,0.00003005007],"category_scores_gemma":[0.000009289489,0.0001311439,0.0001246253,0.001941403,0.00002053766,0.001097794,0.000328803,0.00007812331,0.00001319747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347876,"about_ca_system_score_gemma":0.000009708659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008095383,"about_ca_topic_score_gemma":0.000005390975,"domain_scores_codex":[0.9987656,0.00006423643,0.0002753442,0.0004533172,0.000234957,0.0002065224],"domain_scores_gemma":[0.9991863,0.0001110572,0.0001708366,0.0003612099,0.00004393628,0.0001266342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002468461,0.0008327655,0.1701154,0.0007637481,0.008763351,0.00004669788,0.12013,0.340405,0.03307926,0.006105328,0.00101571,0.3187181],"study_design_scores_gemma":[0.0001595077,0.00002572989,0.001463855,0.00002886149,0.000440281,0.000001586956,0.001641828,0.9834591,0.01155767,0.00009905714,0.0008210564,0.0003015039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4434662,0.0002281096,0.5553598,0.0004348884,0.00005217157,0.0001900921,7.821643e-7,0.00008881189,0.0001792291],"genre_scores_gemma":[0.9825557,0.00006781184,0.01695583,0.0001766071,0.0001335166,0.00008499277,0.000002523809,0.000009015249,0.00001393995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6430541,"threshold_uncertainty_score":0.6242034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2132563010741707,"score_gpt":0.3653650367845088,"score_spread":0.1521087357103382,"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."}}