{"id":"W2739494356","doi":"10.2139/ssrn.3163570","title":"The Dynamics of Microcredit Borrowings in Cambodia","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Dynamics (music); Microfinance; Business; Geography; Economic geography; Political science; Economics; Economic growth; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003379522,0.0001396128,0.0002885047,0.0007113178,0.000507677,0.002094641,0.00054144,0.0008653628,0.007973354],"category_scores_gemma":[0.002510152,0.0002271092,0.0001455941,0.00127115,0.0006880899,0.001202506,0.001281417,0.0009944841,0.0004511169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002689607,"about_ca_system_score_gemma":0.0008931431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1432209,"about_ca_topic_score_gemma":0.1777701,"domain_scores_codex":[0.9998546,0.00002430156,0.000009659526,0.000023797,0.0000114621,0.00007625455],"domain_scores_gemma":[0.9985183,0.0004885943,0.0005822408,0.00004048268,0.0001346516,0.0002358567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006837174,0.0001138224,0.9247958,0.0001964177,0.0001015465,0.002761008,0.009332372,0.007733913,0.00171193,0.02510412,0.005416356,0.02204893],"study_design_scores_gemma":[0.00001860487,0.00005712044,0.9729425,0.0001309199,0.00003323238,0.000235442,0.01151752,0.008288944,0.0004286649,0.001516539,0.004806406,0.00002412893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949963,0.0004476595,0.00005432847,0.001002925,0.000005068538,0.000007622329,0.0006908411,0.000004133866,0.002791069],"genre_scores_gemma":[0.9983706,0.0001479689,0.00001532114,0.00003308993,0.000003587355,0.000004355204,0.0001569835,0.000001704017,0.001266388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432209,"threshold_uncertainty_score":0.2847747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009923962911854038,"score_gpt":0.2177766485925656,"score_spread":0.2078526856807116,"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."}}