{"id":"W6946819368","doi":"10.34989/san-2023-14","title":"Three things we learned about the Lynx payment system","year":2023,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Settlement (finance); Payment processor; Payment system; Government (linguistics); Payment service provider","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00192246,0.00007236727,0.0001401683,0.00009091555,0.000642425,0.00002245376,0.0003893679,0.00004138659,0.000417624],"category_scores_gemma":[0.0001616654,0.00004420594,0.00003131054,0.0005744778,0.0002501768,0.0000469678,0.00003458424,0.0002581784,0.0001169923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000257071,"about_ca_system_score_gemma":0.0007009386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7811096,"about_ca_topic_score_gemma":0.9936631,"domain_scores_codex":[0.9979128,0.0002029609,0.0001765456,0.0001733678,0.001027268,0.0005070788],"domain_scores_gemma":[0.9987535,0.0007320222,0.00003915915,0.0002382608,0.0001420177,0.00009503419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007356027,0.000005258225,0.4843338,0.0001890571,0.00009645692,0.00008823258,0.0008561147,0.0005390393,0.00001261975,0.005454401,0.4867668,0.02158471],"study_design_scores_gemma":[0.0001322775,0.00005120442,0.8682134,0.00004118361,0.000003961519,0.00000500981,0.003847835,0.005731122,0.00001938144,0.0003791789,0.1215099,0.00006548511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4820209,0.02170852,0.00003520256,0.1168654,0.001667365,0.00107214,0.0002041438,0.0001850946,0.3762412],"genre_scores_gemma":[0.9962003,0.0003163552,0.00001643559,0.0001106774,0.0000653352,0.000004854709,0.00001028346,0.000002140559,0.003273629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5141793,"threshold_uncertainty_score":0.4941079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035045651138013,"score_gpt":0.3120666392896488,"score_spread":0.2085620741758475,"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."}}