{"id":"W4285531837","doi":"10.2139/ssrn.4047267","title":"Big Loans to Small Businesses: Predicting Winners and Losers in an Entrepreneurial Lending Experiment","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Financial system; Entrepreneurship; Economics; Accounting; 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":[0.004290042,0.0004336621,0.0007836336,0.0005364586,0.001230099,0.001976225,0.0008772784,0.001722265,0.003893828],"category_scores_gemma":[0.01202597,0.0003708777,0.000386591,0.0004212371,0.0008064505,0.001562649,0.0009732558,0.002512623,0.001521454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573048,"about_ca_system_score_gemma":0.0008950679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004105411,"about_ca_topic_score_gemma":0.006532958,"domain_scores_codex":[0.9990421,0.0004564748,0.00006695745,0.0001285753,0.0001299157,0.0001760034],"domain_scores_gemma":[0.9817932,0.009814454,0.002081926,0.0008583984,0.0006513424,0.00480069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02954563,0.01998279,0.921291,0.00005461842,0.0002563384,0.0004493116,0.001826688,0.003792512,0.00149675,0.001452518,0.003237896,0.01661398],"study_design_scores_gemma":[0.002301711,0.01693003,0.9234956,0.00004505503,0.0004175683,0.0003354113,0.006808877,0.0339226,0.002879229,0.008996795,0.003709308,0.0001577931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992709,0.00001161896,0.00007302653,0.00009843612,0.00001314742,0.0000253275,0.000100548,0.000004226039,0.0004028465],"genre_scores_gemma":[0.9969801,0.00003215886,0.0001367021,0.0000721837,0.00002423526,0.00007901742,0.0003256829,0.000004103302,0.002345723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004290042,"threshold_uncertainty_score":0.02268821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793047039214322,"score_gpt":0.2324902919598337,"score_spread":0.2145598215676905,"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."}}