{"id":"W2976710053","doi":"10.18280/isi.240307","title":"Borrower-lender Information Fusion for P2P Lending: A Nonparametric Approach","year":2019,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Universities Scientific Fund; National Natural Science Foundation of China","keywords":"Loan; Exploit; Investment (military); Portfolio; Business; Actuarial science; Finance; Computer science; Econometrics; Economics","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":[0.004752211,0.0009666188,0.001552333,0.001797198,0.0006253434,0.002029851,0.001937865,0.00177842,0.001593847],"category_scores_gemma":[0.01180965,0.000636173,0.001025544,0.002156224,0.001074723,0.004561526,0.002215593,0.001763173,0.000315643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242467,"about_ca_system_score_gemma":0.001344995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005373009,"about_ca_topic_score_gemma":0.003223602,"domain_scores_codex":[0.9979562,0.0007858914,0.0001210348,0.0004352952,0.000506251,0.0001954935],"domain_scores_gemma":[0.9960703,0.002360237,0.0003934979,0.0004028356,0.0006207457,0.0001523822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002651833,0.0002968346,0.006668065,0.00015181,0.0001923044,0.0002592028,0.0002545368,0.7120526,0.00215362,0.03832095,0.002793575,0.2365913],"study_design_scores_gemma":[0.000003503966,0.00001376858,0.0003815606,0.000004364359,0.00001054638,0.0000177379,0.00001321841,0.9895172,0.0002404328,0.009551206,0.0002388798,0.000007609225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0287495,0.0004248021,0.968331,0.0004883734,0.00002707807,0.00006351492,0.0001086112,0.0002702484,0.001536831],"genre_scores_gemma":[0.8849658,0.0005656215,0.1113046,0.0001505923,0.0001533655,0.0001420966,0.000279767,0.00006468239,0.002373351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005373009,"threshold_uncertainty_score":0.02513236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571611111485167,"score_gpt":0.2163652956957124,"score_spread":0.2006491845808607,"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."}}