{"id":"W3124892041","doi":"10.17016/feds.2019.066","title":"Policy Uncertainty and Bank Mortgage Credit","year":2019,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loan; Quarter (Canadian coin); Business; Monetary economics; State (computer science); Financial system; Economics; Finance","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":[0.00101836,0.0001019387,0.0002674696,0.000441938,0.0003991362,0.001828034,0.0002337698,0.0005381848,0.003292067],"category_scores_gemma":[0.01779414,0.0001578335,0.000165508,0.0009914171,0.0006271175,0.0009256437,0.0008717535,0.0007541706,0.0001952792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144521,"about_ca_system_score_gemma":0.0006595093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091702,"about_ca_topic_score_gemma":0.02214756,"domain_scores_codex":[0.9992761,0.0002281855,0.00005191076,0.0001214463,0.0001718754,0.0001504288],"domain_scores_gemma":[0.9832114,0.005741606,0.009416122,0.0004355548,0.0006891186,0.0005062419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002925866,0.0001147344,0.9527223,0.00007287357,0.0001681719,0.0002084289,0.001627765,0.01259066,0.001077888,0.0121422,0.002035972,0.01694648],"study_design_scores_gemma":[0.00001556804,0.00006562546,0.9714777,0.00004411065,0.00004538548,0.00005492655,0.001300901,0.01397144,0.0007947331,0.00855989,0.003646242,0.00002342931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916567,0.0007691236,0.0008768021,0.002135553,0.0000107918,0.000006078276,0.0003437867,0.00001548148,0.004185686],"genre_scores_gemma":[0.9995002,0.0001050091,0.000050004,0.00004151602,0.000007148109,0.00000227523,0.00005049467,0.000001265719,0.0002422702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02091702,"threshold_uncertainty_score":0.04159057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343346531063628,"score_gpt":0.2060329201964492,"score_spread":0.192599454885813,"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."}}