{"id":"W4417215233","doi":"10.1108/ijebr-05-2025-0660","title":"Explainable artificial intelligence for predicting entrepreneurial intentions: a theory of planned behavior approach","year":2025,"lang":"en","type":"article","venue":"International Journal of Entrepreneurial Behaviour & Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Theory of planned behavior; Entrepreneurship; Field (mathematics); Set (abstract data type); Sample (material); Dominance (genetics); Population","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":[],"consensus_categories":[],"category_scores_codex":[0.003517368,0.0002426739,0.0004544161,0.001442867,0.0002904298,0.000461398,0.001470962,0.0001327601,0.0001914565],"category_scores_gemma":[0.003340391,0.0002163428,0.0004526658,0.0006404219,0.000328381,0.0009251015,0.0006611344,0.0004997023,0.000008782319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170532,"about_ca_system_score_gemma":0.0002015071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002290724,"about_ca_topic_score_gemma":0.00003599882,"domain_scores_codex":[0.9958104,0.0001536365,0.001473516,0.000461751,0.001589781,0.0005108672],"domain_scores_gemma":[0.993714,0.0008595277,0.0008275202,0.0003149659,0.004244365,0.0000396718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.009929922,0.003806708,0.6943387,0.0002933775,0.0008000241,0.000135394,0.0008530301,0.001805435,0.009482728,0.210961,0.002772475,0.06482119],"study_design_scores_gemma":[0.01593211,0.002955042,0.1634304,0.006652391,0.004111296,0.0002815484,0.06099396,0.006830472,0.1446475,0.5700588,0.02106905,0.003037401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831151,0.0004350705,0.00470004,0.001171973,0.005885682,0.001078952,0.00005727324,0.00004547688,0.00351042],"genre_scores_gemma":[0.9962006,0.0000976227,0.0004582671,0.00008930993,0.002742836,0.0001360606,0.000029819,0.00002363851,0.0002218645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5309082,"threshold_uncertainty_score":0.8822204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09356585742083005,"score_gpt":0.3705442879742001,"score_spread":0.27697843055337,"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."}}