{"id":"W7034775202","doi":"","title":"U of T researchers help lay groundwork for Bank of Canada-backed “digital loonie”","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Subject (documents); Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000150075,0.0001020933,0.0002222695,0.00002999365,0.0002100733,0.0003263645,0.0002244882,0.00003997744,0.003905491],"category_scores_gemma":[0.0000843536,0.00008999743,0.00009251502,0.00007252781,0.0001715826,0.001254349,0.0000811178,0.00009821029,0.00001487682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000355671,"about_ca_system_score_gemma":0.0006060899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0574781,"about_ca_topic_score_gemma":0.3773595,"domain_scores_codex":[0.9988733,0.00002288921,0.0003967595,0.0001222844,0.0003277154,0.0002570499],"domain_scores_gemma":[0.9988821,0.0001582333,0.0001472622,0.0002529392,0.0004432171,0.0001162601],"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":[0.00005540114,0.00003389084,0.0002510508,0.000283562,0.00006999107,0.000002453673,0.002703654,0.00001424241,0.00002826674,0.9566387,0.03952142,0.0003973719],"study_design_scores_gemma":[0.0004540143,0.00006578125,0.0001063209,0.00005417969,0.000008675594,0.000001252805,0.01175719,0.00004129971,0.002804426,0.004785419,0.9797972,0.0001242505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3410416,0.001019869,0.00004050136,0.004008239,0.0008709927,0.0004130743,0.001274608,0.00005278558,0.6512783],"genre_scores_gemma":[0.9715565,0.00001345278,0.0001977598,0.001198328,0.0003184745,0.00001577191,0.0001882856,0.00001765424,0.02649379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9518533,"threshold_uncertainty_score":0.997005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864012279474902,"score_gpt":0.239492428132743,"score_spread":0.2008523053379939,"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."}}