{"id":"W4400494323","doi":"10.1287/mnsc.2022.00281","title":"Networking Frictions and Entrepreneurial Learning in Developing Economies","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Entrepreneurship; Developing country; Business; Economics; Industrial organization; Economic growth; 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":[0.001360784,0.0002101829,0.0004000337,0.002008467,0.001836634,0.002142903,0.0003515884,0.0004328938,0.006541536],"category_scores_gemma":[0.009494808,0.0001924028,0.0002128867,0.002494637,0.001669622,0.002054967,0.003031627,0.0009485707,0.0003341355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662972,"about_ca_system_score_gemma":0.001051004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01673576,"about_ca_topic_score_gemma":0.02913968,"domain_scores_codex":[0.999431,0.0001651362,0.00004311504,0.00007190478,0.00007954195,0.0002092621],"domain_scores_gemma":[0.9932417,0.002475127,0.002690946,0.0002458355,0.0001997723,0.001146569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002162602,0.0004242039,0.9436357,0.0001294594,0.00007259551,0.000547083,0.005663136,0.006171448,0.0002041433,0.01187714,0.001844405,0.02921442],"study_design_scores_gemma":[0.00002557029,0.00006781086,0.9696004,0.0001531447,0.00004125897,0.0001248635,0.01210593,0.003772451,0.000176396,0.008318338,0.005583025,0.00003084686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871095,0.000275407,0.0005113116,0.0003998558,0.000006353895,0.00002951801,0.0002382322,0.00000670906,0.01142307],"genre_scores_gemma":[0.9989373,0.0002604878,0.0001275902,0.0000246271,0.000004026077,0.0000196265,0.00009617482,0.000001957557,0.0005281329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01673576,"threshold_uncertainty_score":0.03327668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703144456614646,"score_gpt":0.2346302153991383,"score_spread":0.2175987708329919,"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."}}