{"id":"W4285117390","doi":"10.2991/aebmr.k.220405.118","title":"An Empirical Study on the Impact of Digital Inclusive Finance on Industrial Transformation and Upgrading","year":2022,"lang":"en","type":"article","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eagle Ridge Hospital","funders":"","keywords":"Transformation (genetics); Digital transformation; Empirical research; Computer science; Business; Mathematics; World Wide Web; Statistics","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":[0.004446888,0.0005524504,0.0007723902,0.003255365,0.00107577,0.001251618,0.001118011,0.00009677084,0.00002809016],"category_scores_gemma":[0.0001928052,0.0005000771,0.00007644651,0.002427072,0.0009398044,0.007747649,0.002545114,0.0009214377,0.000009271501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007769362,"about_ca_system_score_gemma":0.00006360533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006922192,"about_ca_topic_score_gemma":0.001037309,"domain_scores_codex":[0.9955245,0.0001646217,0.001103193,0.001468419,0.0005248723,0.001214421],"domain_scores_gemma":[0.9980316,0.0004626999,0.000430327,0.0007494891,0.0002671495,0.000058689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002563877,0.002244625,0.163758,0.001013523,0.0001405232,0.0001048182,0.0006067659,0.06834256,0.000002801312,0.2904545,0.0003576728,0.4704104],"study_design_scores_gemma":[0.010454,0.001541361,0.526551,0.0008859215,0.00004948884,0.00001166982,0.02553779,0.02929451,0.00001365008,0.1587228,0.2450406,0.001897214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676052,0.001059439,0.0001025359,0.00203526,0.0003490589,0.003653883,0.00006073126,0.00003749381,0.02509634],"genre_scores_gemma":[0.9454656,0.05298358,0.00003730327,0.0001281996,0.0002054735,0.0008972798,0.00006390614,0.00006966844,0.000148977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4685132,"threshold_uncertainty_score":0.9997852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349388529019523,"score_gpt":0.367677023186553,"score_spread":0.3041831378963578,"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."}}