{"id":"W6930541840","doi":"10.5281/zenodo.14375765","title":"COMPARISON OF TRENDS IN THE DYNAMICS OF RATES FOR LOANS AND DEPOSITS OF BANKING SECTORS AUSTRALIA, CANADA, CHINA AND SOUTH AFRICA","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Interest rate; Financial stability; Banking industry; Coherence (philosophical gambling strategy); Retail banking; Dynamics (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000365821,0.0001569602,0.0001733031,0.002146883,0.000269968,0.0005572618,0.0002216714,0.0002044964,0.001402108],"category_scores_gemma":[0.001897321,0.00009634254,0.0002015108,0.002645081,0.0002273002,0.0003083727,0.0003985459,0.0002297265,0.0002547073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235401,"about_ca_system_score_gemma":0.001226183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.247595,"about_ca_topic_score_gemma":0.2572267,"domain_scores_codex":[0.9997744,0.00002913341,0.00001910991,0.00004452624,0.00005352049,0.00007933794],"domain_scores_gemma":[0.9984455,0.0002309407,0.0003261697,0.00005985575,0.0007700439,0.0001675232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001810185,0.00001871708,0.9729915,0.00006656412,0.00008820357,0.0002134747,0.002368546,0.0008287397,0.001725066,0.00165268,0.001008922,0.01885667],"study_design_scores_gemma":[8.170245e-7,0.000007845654,0.9980056,0.000005807448,0.000006705171,0.00004283866,0.0005749114,0.0004611382,0.0001225904,0.00002777642,0.0007411886,0.000002815689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955932,0.0003236654,0.0001408124,0.0001004362,0.000003422473,0.000007080461,0.00142481,0.000009382977,0.002397084],"genre_scores_gemma":[0.9971446,0.0002915585,0.0001559925,0.000008360796,0.000003558717,0.000004969198,0.001081643,0.000003947308,0.001305282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.752405,"threshold_uncertainty_score":0.4923076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935438138293295,"score_gpt":0.3078717900100014,"score_spread":0.2585174086270685,"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."}}