{"id":"W4318830171","doi":"10.2139/ssrn.4290294","title":"The Housing Boom and Selection into Entrepreneurship","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Boom; Entrepreneurship; Selection (genetic algorithm); Business; Economics; Computer science; Engineering; Finance; Artificial intelligence","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":[0.001038582,0.0001523705,0.0002413761,0.001373482,0.001642519,0.002554344,0.0003718141,0.0009141245,0.01342463],"category_scores_gemma":[0.004101421,0.0001345361,0.0002633493,0.001663079,0.001961503,0.001637411,0.002047642,0.001245848,0.0007595942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005923099,"about_ca_system_score_gemma":0.0009427543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00776953,"about_ca_topic_score_gemma":0.0164321,"domain_scores_codex":[0.9991009,0.0002778625,0.00003310492,0.00005811525,0.00006374068,0.0004663312],"domain_scores_gemma":[0.9962907,0.000690061,0.0009740086,0.0001091838,0.0001618345,0.001774158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005505159,0.000508166,0.9669747,0.00002202825,0.00003211216,0.0003849131,0.003526902,0.00009264638,0.0002754473,0.01049897,0.001242098,0.01589155],"study_design_scores_gemma":[0.00002809109,0.0001780621,0.973954,0.00004189282,0.0000149307,0.0001665312,0.01671876,0.0002709714,0.0001614694,0.004490903,0.003963471,0.00001094083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906811,0.000307644,0.00006799681,0.001735814,0.0000315141,0.000008760141,0.00009710516,0.00000382549,0.007066232],"genre_scores_gemma":[0.9984965,0.00008811489,0.0000125733,0.00006583206,0.00002313512,0.000002161424,0.00003224678,0.000002163583,0.001277214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01342463,"threshold_uncertainty_score":0.04490989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139013317479859,"score_gpt":0.2624725992331726,"score_spread":0.251082466058374,"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."}}