{"id":"W4386870759","doi":"10.3982/ecta18916","title":"Selection Into Credit Markets: Evidence From Agriculture in Mali","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Loan; Economics; Selection (genetic algorithm); Agriculture; Cash; Sample (material); Selection bias; Capital (architecture); Business; Finance; Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007741768,0.0002104809,0.0004921525,0.001593829,0.0001682918,0.0000959677,0.0003862521,0.0002428547,0.001373969],"category_scores_gemma":[0.0006880879,0.000240799,0.0001362237,0.005141424,0.00003635064,0.0006688348,0.0002093224,0.0002736909,0.007122091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004070906,"about_ca_system_score_gemma":0.00002654136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002518622,"about_ca_topic_score_gemma":0.0003270868,"domain_scores_codex":[0.9979544,0.00002239606,0.0007909581,0.0007363871,0.0000458436,0.0004500705],"domain_scores_gemma":[0.9990325,0.0002141781,0.0003279794,0.000306476,0.00003122002,0.00008765102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007571535,0.0001496441,0.8759065,0.00005123452,0.00004030868,0.00003149559,0.001370116,0.0001655371,0.001010207,0.009911312,0.0994793,0.01180866],"study_design_scores_gemma":[0.0003756368,0.00006242933,0.777078,0.00006651392,0.000003253559,0.000001749493,0.00007220934,0.001281802,0.0004982619,0.02263658,0.1975283,0.0003953248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766359,0.007313563,0.0009205323,0.001785867,0.001184879,0.0003336851,0.0001485968,0.0001812059,0.01149581],"genre_scores_gemma":[0.9905615,0.004960683,0.000791859,0.0002150227,0.0004775086,0.00007742289,0.00008283991,0.00003002696,0.002803104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09882851,"threshold_uncertainty_score":0.9995389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343575170923774,"score_gpt":0.2334728101760694,"score_spread":0.2000370584668317,"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."}}