{"id":"W4402494467","doi":"10.1007/s10843-024-00363-8","title":"Transformative potentials of generative artificial intelligence: Should international entrepreneurial enterprises adopt GEN.AI?","year":2024,"lang":"en","type":"article","venue":"Journal of International Entrepreneurship","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Transformative learning; Entrepreneurship; Generative grammar; Business; Sociology; Artificial intelligence; Computer science; Pedagogy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007961591,0.000354296,0.0004957111,0.0009547438,0.00009584775,0.0006891669,0.001053678,0.0001206542,0.002077207],"category_scores_gemma":[0.0006499706,0.0002886452,0.0006363739,0.000429525,0.0001987691,0.002512733,0.0002226807,0.0004638635,0.00009974813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114601,"about_ca_system_score_gemma":0.000111846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000681145,"about_ca_topic_score_gemma":0.00002888831,"domain_scores_codex":[0.9962153,0.00005667602,0.001675055,0.0004097758,0.001296425,0.000346752],"domain_scores_gemma":[0.9973323,0.0002703171,0.0008951557,0.0001982685,0.00125428,0.00004965164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00498127,0.002606354,0.1621825,0.0008388106,0.007514114,0.001213994,0.008665151,0.0375484,0.03787959,0.3835596,0.02982022,0.32319],"study_design_scores_gemma":[0.004318445,0.001217127,0.02853285,0.006759602,0.003121602,0.001066943,0.01445251,0.05825417,0.224002,0.3782948,0.2758419,0.004138035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7945835,0.004979277,0.04372352,0.06797786,0.05496129,0.0009430461,0.0002753293,0.0002944706,0.03226168],"genre_scores_gemma":[0.9914973,0.0008118954,0.0002834767,0.001174845,0.006010313,0.000009859305,0.00003671895,0.00003303991,0.00014254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319052,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0447873115544365,"score_gpt":0.3042404468226368,"score_spread":0.2594531352682004,"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."}}