{"id":"W4410083858","doi":"10.1016/j.jbankfin.2025.107472","title":"The impact of public corruption on marketplace lending outcomes","year":2025,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Language change; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002571932,0.0000618435,0.0001656223,0.0001298407,0.0003764103,0.00009015215,0.0002627703,0.00003801375,0.0001087929],"category_scores_gemma":[0.0004253003,0.00004156523,0.0001621278,0.000211638,0.000075164,0.0002322693,0.00002447151,0.0001424941,0.000006698751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00049916,"about_ca_system_score_gemma":0.0005208023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007016907,"about_ca_topic_score_gemma":0.00009393289,"domain_scores_codex":[0.9990915,0.0001067222,0.0003757465,0.00006534026,0.0001806722,0.0001800281],"domain_scores_gemma":[0.9988753,0.0004014707,0.0004878111,0.00008742149,0.000122379,0.00002568038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000997348,0.00006733665,0.281883,0.000005896447,0.00008287853,0.000002857242,0.002122398,0.000307636,0.00004434697,0.05697072,0.003649956,0.6547632],"study_design_scores_gemma":[0.0003210963,0.00005674279,0.8924454,0.0001577178,0.000006428029,0.000002116249,0.0007269161,0.00008818521,0.00001286599,0.001671085,0.1044459,0.00006552583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524328,0.0001990502,0.0006566825,0.004059507,0.001185932,0.00006537537,8.995839e-7,0.000006727249,0.04139302],"genre_scores_gemma":[0.9939026,0.0008036844,0.0001626743,0.00007001718,0.00005389765,0.000001060522,1.167989e-7,0.000002746348,0.005003204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6546977,"threshold_uncertainty_score":0.2895082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751851189380501,"score_gpt":0.3561855270632308,"score_spread":0.3186670151694257,"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."}}