{"id":"W2003708469","doi":"10.4018/jgim.2014010103","title":"ICT Helping to Scale up Microfinance","year":2014,"lang":"en","type":"article","venue":"Journal of Global Information Management","topic":"ICT Impact and Policies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Microfinance; General partnership; Business; Business model; Argument (complex analysis); Financial services; Service (business); Developing country; Scale (ratio); Finance; Marketing; Economic growth; Economics","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":[0.001978754,0.0004402368,0.0001482484,0.001175442,0.001587776,0.005008813,0.0008094223,0.001609104,0.01390515],"category_scores_gemma":[0.007313145,0.0001444162,0.0004395682,0.001450216,0.001972722,0.005461657,0.005725798,0.001891825,0.002116903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003751689,"about_ca_system_score_gemma":0.006689559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011197,"about_ca_topic_score_gemma":0.01094263,"domain_scores_codex":[0.9982159,0.0003875034,0.00006391773,0.0001697175,0.0005375756,0.0006253603],"domain_scores_gemma":[0.9965917,0.0008313595,0.000303537,0.0006603695,0.000952937,0.0006601416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006944311,0.0002389274,0.01250154,0.0004162694,0.0000280226,0.001104221,0.004190253,0.005191812,0.004897641,0.4632739,0.05873539,0.4493525],"study_design_scores_gemma":[0.00005373667,0.0002291142,0.01388226,0.000972405,0.00005073528,0.0007672911,0.008744461,0.007597069,0.005586481,0.1384056,0.8236784,0.0000325152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1796368,0.003844067,0.02438374,0.09922591,0.0006189463,0.0003431835,0.0001732597,0.0006252187,0.6911489],"genre_scores_gemma":[0.9399329,0.003776011,0.01085781,0.004112125,0.0001643686,0.0001271138,0.0001559882,0.00007821069,0.04079542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01390515,"threshold_uncertainty_score":0.04651731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005015330632869657,"score_gpt":0.2260566518586501,"score_spread":0.2210413212257804,"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."}}