{"id":"W3122883406","doi":"","title":"An introduction to the FRBNY Consumer Credit Panel","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Panel data; Econometrics; Debt; Household debt; Consumer debt; Credit card; Flow of funds; Population; Actuarial science; Business; Economics; Finance; Geography","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":[0.00506671,0.0006284736,0.0007476414,0.002502634,0.0009589102,0.002140287,0.001154549,0.001339744,0.05372617],"category_scores_gemma":[0.01103419,0.0007454648,0.0007772468,0.007121877,0.0004268401,0.002611531,0.001966947,0.003734084,0.02291191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064103,"about_ca_system_score_gemma":0.002134835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298829,"about_ca_topic_score_gemma":0.01793715,"domain_scores_codex":[0.9970247,0.001438181,0.0002107903,0.0003638645,0.000786088,0.0001762869],"domain_scores_gemma":[0.9946175,0.002179731,0.0005234249,0.001193211,0.001184506,0.0003015406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006678049,0.0001299382,0.009220786,0.0003066517,0.00004920986,0.0001710691,0.0003101296,0.002811689,0.0005236557,0.06856555,0.6768972,0.2409473],"study_design_scores_gemma":[0.00003224217,0.00004422046,0.00993377,0.000151284,0.00001190466,0.0001819442,0.00007072538,0.00110073,0.0001479952,0.02124998,0.9670141,0.0000611247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007079558,0.01317344,0.399698,0.01914735,0.005948568,0.004128186,0.3602163,0.003827893,0.1867806],"genre_scores_gemma":[0.04991909,0.02742339,0.477705,0.01276667,0.008018353,0.01256474,0.2755666,0.002102519,0.1339337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05372617,"threshold_uncertainty_score":0.1797319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03881935494543962,"score_gpt":0.2776171671207576,"score_spread":0.238797812175318,"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."}}