{"id":"W2207852238","doi":"10.2139/ssrn.2652758","title":"Money in Motion: Modernizing Canada's Payment System","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Payment; Motion (physics); Payment system; Business; Economics; Finance; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008468078,0.0006459435,0.0006032593,0.003302976,0.02063505,0.01889862,0.004304592,0.01108744,0.01951733],"category_scores_gemma":[0.02739426,0.0007547353,0.0007930082,0.005078078,0.008933161,0.005402732,0.00610831,0.009143661,0.001009988],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1902069,"about_ca_system_score_gemma":0.438999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942943,"about_ca_topic_score_gemma":0.9957521,"domain_scores_codex":[0.9862835,0.00196246,0.000335261,0.001018386,0.004639847,0.0057605],"domain_scores_gemma":[0.9824996,0.002607089,0.0005771898,0.0007528613,0.008734439,0.004828794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009291674,0.00006746615,0.006568749,0.0001281971,0.00003994794,0.0002455323,0.006509481,0.001730356,0.000422127,0.7370446,0.1965662,0.05058437],"study_design_scores_gemma":[0.000122421,0.00006905678,0.02842416,0.0004729501,0.0001010852,0.00009367686,0.006645457,0.002735157,0.0004361964,0.0583724,0.9022592,0.0002682627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1132914,0.008747173,0.005430528,0.4834573,0.003411588,0.0002898119,0.00136542,0.0004628269,0.3835441],"genre_scores_gemma":[0.7432021,0.004008855,0.006350036,0.07191812,0.001205695,0.0001621778,0.0003945842,0.0002790945,0.1724794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1902069,"threshold_uncertainty_score":0.9392452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755574157227602,"score_gpt":0.2501580145638911,"score_spread":0.2326022729916151,"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."}}