{"id":"W4200350943","doi":"10.1108/rausp-03-2020-0041","title":"Mobilizing a pluralist theoretical approach to understand microlending digital platforms: the AfricaMC case","year":2021,"lang":"en","type":"article","venue":"RAUSP Management Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Microfinance; Originality; Value (mathematics); Digital strategy; Microinsurance; Marketing; Sociology; Economics; Computer science; Business; Social science; Economic growth; Qualitative research; Digital marketing","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007510667,0.0003729962,0.0003093731,0.000378896,0.0009245256,0.004862495,0.0006244802,0.00007273707,0.0001804816],"category_scores_gemma":[0.0001959832,0.000276322,0.0002436044,0.001173514,0.0002179907,0.002234996,0.001015533,0.0005034349,0.0002689573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496512,"about_ca_system_score_gemma":0.0000248232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007238604,"about_ca_topic_score_gemma":0.000008357667,"domain_scores_codex":[0.9974868,0.000008951827,0.0005739719,0.0005285538,0.0005969759,0.0008047199],"domain_scores_gemma":[0.998969,0.00008159896,0.000271749,0.0004460592,0.000165676,0.0000659459],"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":[0.00006286485,0.0001966536,0.0004161574,0.0001793792,0.0001672762,0.004185279,0.0002497411,0.0002444621,0.00005136382,0.975989,0.01253347,0.005724357],"study_design_scores_gemma":[0.003803098,0.00009110131,0.0006458948,0.000974709,0.000629247,0.01997461,0.08404304,0.01023809,0.0002325906,0.6539131,0.2230768,0.002377725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2775581,0.0003435604,0.09183672,0.002778972,0.0008792454,0.0008025563,0.00001532353,0.0002290282,0.6255565],"genre_scores_gemma":[0.994141,0.00002150109,0.001597555,0.001761169,0.0007705348,0.00001754218,0.00001688921,0.00006564153,0.001608136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.716583,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210347575902281,"score_gpt":0.2217414104711924,"score_spread":0.2007066528809643,"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."}}