{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004595803,0.0003784134,0.0002985946,0.001703612,0.003841901,0.01251192,0.001704311,0.003072627,0.01731221],"category_scores_gemma":[0.01722983,0.000362223,0.0005350219,0.001813749,0.01245718,0.01179873,0.006843363,0.003566035,0.002937921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002071782,"about_ca_system_score_gemma":0.002896044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696488,"about_ca_topic_score_gemma":0.001540075,"domain_scores_codex":[0.9964781,0.002270849,0.00007830789,0.0003691743,0.0004643668,0.0003392501],"domain_scores_gemma":[0.9844044,0.00966955,0.0005454269,0.003148509,0.0007209542,0.001511055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009448388,0.0002633515,0.003546843,0.0001060695,0.00002382408,0.0002855989,0.03432015,0.001181968,0.001038265,0.8866668,0.00579484,0.06667779],"study_design_scores_gemma":[0.00005222025,0.00005738949,0.001512005,0.000098035,0.00001905548,0.000202682,0.01864754,0.004391025,0.001096434,0.896434,0.07746132,0.00002829354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1990559,0.001070955,0.06546344,0.03732628,0.0008875935,0.0001213674,0.0001234997,0.001232176,0.6947187],"genre_scores_gemma":[0.9741507,0.0002298793,0.006482206,0.0009124583,0.00009143044,0.00005534146,0.00005693625,0.0002078201,0.01781332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01731221,"threshold_uncertainty_score":0.05791509,"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."}}