{"id":"W4205691594","doi":"10.3390/su14020983","title":"Investigating the Impact of International Markets and New Digital Technologies on Business Innovation in Emerging Markets","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Emerging markets; Business; Structural equation modeling; Data collection; Marketing; Emerging technologies; Industrial organization; Software deployment; Population; International business; Economics; Engineering; Computer science; Management; Statistics; Finance","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":[0.002854539,0.0002202873,0.000251871,0.001829663,0.0007376318,0.002933423,0.0003051685,0.000528561,0.003044463],"category_scores_gemma":[0.008308699,0.0001237452,0.0006246013,0.001755349,0.0009707817,0.002974099,0.002083286,0.0008388002,0.000153035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529933,"about_ca_system_score_gemma":0.003496994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551027,"about_ca_topic_score_gemma":0.00651836,"domain_scores_codex":[0.9985575,0.0005587674,0.00006897438,0.00009842261,0.0003531434,0.0003631526],"domain_scores_gemma":[0.9886281,0.006376025,0.002597428,0.0002243048,0.001185029,0.0009891734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001117358,0.0007609932,0.8983241,0.0003410357,0.0001566951,0.0008288686,0.009661979,0.0008643511,0.0005577499,0.02419128,0.000797184,0.06340402],"study_design_scores_gemma":[0.00001539261,0.0002558557,0.9606091,0.0002656265,0.0001848467,0.0001879746,0.02514648,0.001981405,0.0006313808,0.004401206,0.006301795,0.00001895491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775544,0.0007227068,0.0003660454,0.0007023049,0.00001480767,0.00004114791,0.00004177832,0.000002065466,0.02055477],"genre_scores_gemma":[0.9986231,0.0006287754,0.0001801084,0.00004387348,0.00001034572,0.00001583043,0.00002031075,0.000001000109,0.0004765361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003551027,"threshold_uncertainty_score":0.01509643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337248285227757,"score_gpt":0.2590352349302947,"score_spread":0.2456627520780172,"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."}}