{"id":"W6965113939","doi":"10.34989/swp-2025-12","title":"Liquidation Mechanisms and Price Impacts in DeFi","year":2025,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Collateral; Common value auction; Debt; House price; Market price; Empirical research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006684789,0.000304305,0.0006001899,0.0012586,0.000965771,0.003897347,0.001401921,0.001799986,0.00857974],"category_scores_gemma":[0.04979889,0.0004145123,0.0005074525,0.001117135,0.002692532,0.004953405,0.002184787,0.002543683,0.0006255714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750429,"about_ca_system_score_gemma":0.001036368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239906,"about_ca_topic_score_gemma":0.002312277,"domain_scores_codex":[0.9960915,0.001385697,0.0003505797,0.0004016839,0.001179282,0.0005912352],"domain_scores_gemma":[0.9406141,0.02605912,0.02475639,0.003252833,0.003748961,0.001568645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004340521,0.00184156,0.3222321,0.0006310027,0.0003842283,0.002698456,0.001861952,0.1486384,0.01631625,0.3184925,0.007275195,0.1752879],"study_design_scores_gemma":[0.0009243472,0.002823331,0.3791917,0.0002819079,0.0003285078,0.001999263,0.003547568,0.2187825,0.01376286,0.3583367,0.01965839,0.0003629559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733092,0.0007297173,0.009418127,0.0009662703,0.00003085408,0.00008559092,0.0001677607,0.0001642187,0.01512836],"genre_scores_gemma":[0.9985782,0.00008332577,0.0004960289,0.00004631638,0.00001932195,0.00001338836,0.00004626553,0.00001186117,0.0007053107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00857974,"threshold_uncertainty_score":0.035353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909938687538722,"score_gpt":0.2660587127764179,"score_spread":0.2369593259010307,"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."}}