{"id":"W6947421889","doi":"10.3886/e119621v2","title":"Data and Code for: Crisis Management in Canada: Analyzing Default Risk and Liquidity Demand during Financial Stress","year":2007,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Code (set theory); Market liquidity; Risk management; Liquidity risk; Financial crisis; Default risk; Replication (statistics); Crisis management","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":[0.0008651946,0.002098835,0.00121974,0.004732996,0.002043096,0.002304481,0.00349046,0.001175767,0.05905056],"category_scores_gemma":[0.006071704,0.0008181086,0.00131876,0.00979164,0.0005655098,0.0008642878,0.001549074,0.002188142,0.03703857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01260001,"about_ca_system_score_gemma":0.02686597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9203423,"about_ca_topic_score_gemma":0.95269,"domain_scores_codex":[0.9990213,0.00005764042,0.00008814968,0.0001627013,0.0003556846,0.0003145447],"domain_scores_gemma":[0.9947717,0.0004357359,0.0003386023,0.0006591138,0.003298525,0.0004965047],"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":[0.00004148311,0.00002218689,0.001891935,0.0001222069,0.00001897863,0.00001307809,0.00002775531,0.0003803507,0.00003929786,0.0002414538,0.9949708,0.00223039],"study_design_scores_gemma":[0.000385098,0.00001765895,0.05016254,0.0002870284,0.00006380992,0.00006261082,0.0003838537,0.002035054,0.0009585002,0.001043516,0.9444843,0.0001161115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003487481,0.00002086192,0.00007731344,0.00004654326,0.00001093858,0.00003162955,0.998583,0.0003325884,0.0005485147],"genre_scores_gemma":[0.001024612,0.00003073278,0.0005797413,0.00002234318,0.000004744945,0.0001534314,0.9966524,0.0001108711,0.001421134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07965773,"threshold_uncertainty_score":0.1975438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905079657520198,"score_gpt":0.3178488762622594,"score_spread":0.2787980796870574,"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."}}