{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00206923,0.0003386598,0.0002337009,0.00183001,0.00641761,0.004233191,0.0009988691,0.002106786,0.00509755],"category_scores_gemma":[0.00522959,0.0002290739,0.0002079918,0.001557155,0.005529464,0.007657699,0.003934088,0.001938832,0.000296275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002698984,"about_ca_system_score_gemma":0.001880319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005023461,"about_ca_topic_score_gemma":0.006250082,"domain_scores_codex":[0.9982923,0.0009610939,0.00004664261,0.0001088143,0.0001877025,0.000403514],"domain_scores_gemma":[0.9967699,0.00204031,0.0005098253,0.0002215716,0.0001602409,0.0002980093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008749475,0.0002912518,0.02354348,0.0001458313,0.000009745467,0.02378979,0.0740402,0.002769497,0.0009287331,0.8441472,0.002239304,0.02800757],"study_design_scores_gemma":[0.0000635011,0.000295925,0.01163503,0.0008307158,0.00003395574,0.01753331,0.551318,0.02733397,0.003848007,0.2008095,0.1862105,0.00008768227],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788584,0.0003574671,0.01565904,0.005589137,0.00003917579,0.0002440693,0.00004444994,0.000017703,0.09919055],"genre_scores_gemma":[0.9931775,0.0002091625,0.003294604,0.0001706539,0.00001007419,0.00005859869,0.000007479981,0.000003699559,0.003068283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00641761,"threshold_uncertainty_score":0.01958263,"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."}}