{"id":"W4281700708","doi":"10.1080/19186444.2022.2082227","title":"Internet access and innovation in developing countries: some empirical evidence","year":2022,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"ICT Impact and Policies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Developing country; Business; Empirical evidence; The Internet; Industrial organization; Marketing; Commerce; Economics; Economic growth; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066885,0.0004513141,0.0009091361,0.009388575,0.0004825831,0.004262956,0.0006158544,0.001122449,0.00552532],"category_scores_gemma":[0.02349115,0.0003051708,0.0008898905,0.02070615,0.002296571,0.002674998,0.00121612,0.00112614,0.0002536942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809822,"about_ca_system_score_gemma":0.004742334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163581,"about_ca_topic_score_gemma":0.01609303,"domain_scores_codex":[0.9981446,0.0007032846,0.0003386871,0.000228015,0.0004087045,0.0001767472],"domain_scores_gemma":[0.9356984,0.05128274,0.007257863,0.0007368503,0.004359384,0.0006647905],"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":[0.001337013,0.0005597066,0.2880547,0.08405594,0.005352738,0.0009710603,0.002682148,0.002427277,0.001004661,0.04416806,0.01487478,0.554512],"study_design_scores_gemma":[0.0002866007,0.0006433516,0.6454322,0.08908986,0.01564675,0.001457144,0.009740099,0.0008167656,0.001577849,0.01949946,0.2157233,0.00008653028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03422118,0.9505318,0.0001992015,0.004809043,0.0001061866,0.00001698767,0.0005506108,0.000004601574,0.009560346],"genre_scores_gemma":[0.1819636,0.8159294,0.0002868561,0.0009752369,0.0002214852,0.00001543216,0.0002733971,0.000004600244,0.0003298972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01163581,"threshold_uncertainty_score":0.03537261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1751357553598973,"score_gpt":0.3674961449080025,"score_spread":0.1923603895481052,"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."}}