{"id":"W1768809220","doi":"10.1002/smj.2185","title":"The institutional context of poverty: State fragility as a predictor of cross‐national variation in commercial microfinance lending","year":2013,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Buddhist Tzu Chi Medical Foundation","keywords":"Microfinance; Fragility; Poverty; Context (archaeology); Business; State (computer science); Economics; Capital (architecture); Development economics; Economic growth","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":[0.001256222,0.0001273575,0.000278671,0.0002078202,0.0002976703,0.0001128583,0.0003277166,0.00006657968,0.0002582149],"category_scores_gemma":[0.00004858182,0.0001164892,0.0001045518,0.0002711359,0.0001672025,0.0004200389,0.0001022073,0.0002364739,0.0000639637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992018,"about_ca_system_score_gemma":0.00009993485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007412373,"about_ca_topic_score_gemma":0.00007579118,"domain_scores_codex":[0.9982476,0.00003118033,0.001118186,0.0002064689,0.0001437137,0.0002528416],"domain_scores_gemma":[0.9986995,0.00004265459,0.0008815934,0.0001504341,0.0001893349,0.00003641896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007946709,0.0001342981,0.03921204,0.00005269542,0.00004310518,0.000005236117,0.000277663,0.0001359691,0.0002570156,0.9582922,0.0003090911,0.00120123],"study_design_scores_gemma":[0.000878978,0.00005684187,0.3620871,0.00005906713,0.000002592744,0.00000607126,0.00009805822,0.0005523731,0.00009686443,0.6336932,0.002369754,0.00009915703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91337,0.001021853,0.001627874,0.0004959499,0.0005689864,0.0003459485,0.0001072541,0.000004679624,0.08245748],"genre_scores_gemma":[0.9976249,0.001280517,0.0003246115,0.0001576406,0.00007200694,0.00001819849,0.000008246894,0.000006976385,0.0005068489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.324599,"threshold_uncertainty_score":0.475029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03585138784836402,"score_gpt":0.2587648307214646,"score_spread":0.2229134428731006,"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."}}