{"id":"W4241686380","doi":"10.31235/osf.io/edt8g","title":"Risks, Returns, and Relational Lending: Personal Ties in Microfinance","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Embeddedness; Microfinance; Interpersonal ties; Intermediary; Financial intermediary; Business; Suspect; Public relations; Finance; Economics; Social psychology; Political science; Sociology; Psychology; Economic growth; Law","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":[0.002179059,0.000237131,0.0003479178,0.0009570099,0.001422723,0.003125584,0.000634301,0.0009825802,0.007876771],"category_scores_gemma":[0.01390145,0.0001357567,0.0003002692,0.001672094,0.002651252,0.003389153,0.002938456,0.002029054,0.0003458775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041141,"about_ca_system_score_gemma":0.0009018605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007201965,"about_ca_topic_score_gemma":0.008131679,"domain_scores_codex":[0.9988722,0.0004819616,0.00007916338,0.0001542381,0.0002335832,0.000178768],"domain_scores_gemma":[0.9858471,0.006122927,0.004954751,0.0005643182,0.0004037688,0.002107214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001777102,0.00062396,0.9390551,0.00006585877,0.0001084809,0.0004036158,0.007794452,0.0008792012,0.0002111881,0.01767481,0.0009406895,0.03206497],"study_design_scores_gemma":[0.00001639379,0.0001288509,0.9527557,0.0001371633,0.0001143913,0.0003352615,0.01378341,0.002532852,0.00021934,0.02513408,0.004815199,0.00002734349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853224,0.0007918211,0.001074992,0.003319216,0.00001718099,0.0000178702,0.00009323257,0.000006446829,0.009356883],"genre_scores_gemma":[0.9985737,0.0002030443,0.0001795993,0.00006972322,0.00002410062,0.000007498928,0.00003174684,0.000002280538,0.0009083868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007876771,"threshold_uncertainty_score":0.02635044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394701466167923,"score_gpt":0.2863378647220031,"score_spread":0.1468677181052108,"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."}}