{"id":"W4415956441","doi":"10.1016/j.finr.2025.100073","title":"Does the yield curve affect the systemic risk between the stocks of FinTech and traditional finance companies?","year":2025,"lang":"en","type":"article","venue":"Finance Research Open","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Social connectedness; Systemic risk; Affect (linguistics); Yield curve; Yield (engineering); Financial market","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004808354,0.0002293618,0.0003838332,0.0001734682,0.001390583,0.001212032,0.002964879,0.00009679449,0.00003506335],"category_scores_gemma":[0.002153056,0.00009966713,0.0001025815,0.001633606,0.001104825,0.001090649,0.001963346,0.001018631,0.00006412606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007337249,"about_ca_system_score_gemma":0.0001537464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935211,"about_ca_topic_score_gemma":0.0005567716,"domain_scores_codex":[0.9977046,0.0001588491,0.0004360937,0.000487739,0.0006383717,0.0005743479],"domain_scores_gemma":[0.9953316,0.003077943,0.0003563937,0.0008610623,0.000365082,0.000007854909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002978689,0.0001625441,0.2029792,0.0009183241,0.0001842145,0.00001243076,0.0003520966,0.0002053239,0.0001448708,0.5448717,0.195271,0.05460036],"study_design_scores_gemma":[0.0006039821,0.00008236129,0.7363303,0.002528823,0.00005285743,0.000005143866,0.0007138883,0.002091179,0.0005823957,0.07350382,0.1831873,0.0003178632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414901,0.001713959,0.0009120995,0.01568151,0.00040261,0.003905649,0.0002417187,0.00005018226,0.03560217],"genre_scores_gemma":[0.9952537,0.0004066349,0.0000276139,0.0002141308,0.0003105541,0.0004491576,0.00001361569,0.00002100517,0.003303598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5333511,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09944394463848207,"score_gpt":0.3415747791733205,"score_spread":0.2421308345348384,"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."}}