{"id":"W4392386271","doi":"10.18280/ria.380134","title":"Assessing the Impact of ATM and POS Transactions on Currency Circulation in Nigeria: A Comparison of Artificial Neural Network and Linear Regression Models","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Circulation (fluid dynamics); Artificial neural network; Currency; Linear regression; Computer science; Statistics; Econometrics; Mathematics; Artificial intelligence; Economics; Engineering; Monetary 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":[0.002622652,0.0007282242,0.0005872362,0.00158698,0.0002279272,0.001664431,0.000725483,0.0007186921,0.00147722],"category_scores_gemma":[0.006609667,0.0002674484,0.0006706272,0.001454992,0.0002540995,0.001265909,0.0005075224,0.0008237997,0.0002556508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009173357,"about_ca_system_score_gemma":0.0008475358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443885,"about_ca_topic_score_gemma":0.009761569,"domain_scores_codex":[0.9991111,0.0004114439,0.00009596048,0.000124165,0.0001773134,0.00007996539],"domain_scores_gemma":[0.9963648,0.002699552,0.0003869601,0.00006878722,0.0004120086,0.00006790276],"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":[0.000814451,0.0006590849,0.2357773,0.0006402265,0.0005353215,0.0006423352,0.0004108993,0.634477,0.001975614,0.002731989,0.001523121,0.1198127],"study_design_scores_gemma":[0.00001027062,0.0001952264,0.02152,0.00007522938,0.00006476666,0.00005105165,0.0002328572,0.9761847,0.0006211422,0.000556314,0.0004690212,0.00001933776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604369,0.001900475,0.03020845,0.0007565736,0.0001247398,0.00007430193,0.0004094707,0.0001751338,0.005913917],"genre_scores_gemma":[0.9904001,0.0009392541,0.006848462,0.00003497502,0.00002292178,0.0000381267,0.0003411961,0.000008952839,0.001366053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01443885,"threshold_uncertainty_score":0.02870959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2568264140195096,"score_gpt":0.4840251582631909,"score_spread":0.2271987442436813,"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."}}