{"id":"W4416288117","doi":"10.2139/ssrn.5749564","title":"Prompted to Start: How Generative AI is Transforming Entrepreneurship","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Entrepreneurship; Generative grammar; Construct (python library); Proxy (statistics); Core (optical fiber); Venture capital","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","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004428823,0.0008537769,0.0009584776,0.0006166255,0.001938146,0.002090703,0.001452574,0.0007023301,0.0003399466],"category_scores_gemma":[0.0001038224,0.0008936008,0.0008831419,0.001026142,0.0002354542,0.002279319,0.0001370535,0.007069337,0.0001425835],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004693537,"about_ca_system_score_gemma":0.02088732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003133594,"about_ca_topic_score_gemma":0.008939908,"domain_scores_codex":[0.990284,0.0005802032,0.001214147,0.001045784,0.0009714009,0.005904436],"domain_scores_gemma":[0.9976924,0.0001394676,0.0005671991,0.0004237269,0.0005683215,0.0006088612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004469679,0.000351594,0.0004443798,0.0001566258,0.00167081,0.000005702433,0.1084255,0.001494808,0.0000633794,0.2699223,0.001003361,0.6160145],"study_design_scores_gemma":[0.00201251,0.001289154,0.00007045595,0.00130767,0.0006182127,0.00007541144,0.05999687,0.0005812917,0.003474814,0.6856005,0.2427576,0.002215574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1922741,0.006299633,0.3237212,0.3307354,0.006510179,0.008011956,0.0005374413,0.0003140222,0.131596],"genre_scores_gemma":[0.9510304,0.01664995,0.0001521356,0.002782944,0.001160173,0.0001180688,0.00004972502,0.00003910417,0.02801747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7587563,"threshold_uncertainty_score":0.9993612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612382661852741,"score_gpt":0.2709466074927041,"score_spread":0.2548227808741767,"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."}}