{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033517,0.0001262399,0.0002097267,0.0001975198,0.0001069352,0.0002272253,0.0004755847,0.00003496381,0.00004934063],"category_scores_gemma":[0.0002256972,0.00006851267,0.00005902256,0.0002708357,0.0001930331,0.001245433,0.0002812103,0.0003358453,0.000007967624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002327011,"about_ca_system_score_gemma":0.000007998239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005840255,"about_ca_topic_score_gemma":0.0001670085,"domain_scores_codex":[0.9990761,0.00001336142,0.0004479787,0.00007745652,0.0001906973,0.0001944226],"domain_scores_gemma":[0.9989188,0.0002051738,0.000624732,0.0001520888,0.00009281412,0.00000641119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002248998,0.0003468446,0.4850057,0.000467672,0.0003799075,0.00007815179,0.022988,0.0007111649,0.003791599,0.2037753,0.0471938,0.2330129],"study_design_scores_gemma":[0.004249198,0.0009307344,0.6427377,0.01259646,0.0003276721,0.001022086,0.009130548,0.06220131,0.005617578,0.03950554,0.2203199,0.001361277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993183,0.0001405353,0.001739986,0.0006039807,0.000271117,0.00005820843,5.457683e-7,0.000009222069,0.003993455],"genre_scores_gemma":[0.9986214,0.00003674236,0.00007697044,0.0006866004,0.0003581242,6.206771e-7,5.292854e-7,0.00001525242,0.0002037531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2316516,"threshold_uncertainty_score":0.2793865,"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."}}