{"id":"W2897283852","doi":"","title":"EXPLAINING THE USE OF P2P LENDING PLATFORMS IN CHINA","year":2018,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expectancy theory; Context (archaeology); China; The Internet; Computer science; Perspective (graphical); Quality (philosophy); Information asymmetry; Service (business); Internet privacy; World Wide Web; Data science; Knowledge management; Business; Marketing; Finance; Economics; Political science; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283867,0.0003406797,0.0003116326,0.001981763,0.001008078,0.001295428,0.0004147757,0.0004151384,0.002471814],"category_scores_gemma":[0.003376293,0.0002406541,0.0004391952,0.003196328,0.000712202,0.001155769,0.001060783,0.0005282527,0.0002233159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903942,"about_ca_system_score_gemma":0.002684656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1266151,"about_ca_topic_score_gemma":0.1004427,"domain_scores_codex":[0.9993019,0.0001273207,0.00006787236,0.00009511771,0.000202893,0.0002048636],"domain_scores_gemma":[0.996627,0.001056512,0.001260676,0.0002026773,0.0004434687,0.0004097168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001892739,0.00006595354,0.9826488,0.00003320603,0.00003320261,0.0004671304,0.001806571,0.002054098,0.0003357383,0.001549195,0.0004286368,0.0105585],"study_design_scores_gemma":[0.000009487689,0.00004007909,0.9767745,0.00002320352,0.00003151183,0.00008632556,0.002208366,0.01819146,0.0002796199,0.0008280125,0.001506543,0.00002083232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981821,0.00005183539,0.0002451976,0.0001193311,0.000002046908,0.0000104438,0.0001043915,0.000006551567,0.001278224],"genre_scores_gemma":[0.99942,0.00005223176,0.0001146775,0.000007320085,0.000001839195,0.000006021487,0.00007085103,0.000001536992,0.0003256292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1266151,"threshold_uncertainty_score":0.2517563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04826715617426738,"score_gpt":0.2438024728877365,"score_spread":0.1955353167134691,"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."}}