{"id":"W2766610226","doi":"10.3905/jsf.2017.23.3.036","title":"Higher Mortgage Rates: <i>The Effect on Housing and Mortgage Markets</i>","year":2017,"lang":"en","type":"article","venue":"The journal of structured finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Monetary policy; Federal funds; Point (geometry); Economics; Quantitative easing; Business; Monetary economics; Finance; Central bank; 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":[0.001214626,0.0003315267,0.0002412096,0.0008708175,0.0007963477,0.004250942,0.0005748618,0.003569891,0.03147462],"category_scores_gemma":[0.005797891,0.0001681268,0.0005958459,0.001361533,0.001523481,0.003099681,0.00205759,0.003011729,0.003419756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421004,"about_ca_system_score_gemma":0.001316375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180212,"about_ca_topic_score_gemma":0.02828022,"domain_scores_codex":[0.9990263,0.0002945112,0.00003332452,0.0001433481,0.0002373272,0.0002652011],"domain_scores_gemma":[0.9971539,0.0006689235,0.000988028,0.0001108383,0.0004264773,0.0006518228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006135798,0.0003953622,0.1157909,0.0005147861,0.0002078894,0.0003837347,0.001526965,0.0009083411,0.001182514,0.1974036,0.5232273,0.1578451],"study_design_scores_gemma":[0.00008550886,0.0002161,0.606554,0.0007844194,0.0001014795,0.0003740027,0.002483579,0.0009129064,0.001107229,0.03092844,0.3563795,0.00007266988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1881954,0.0529644,0.001048837,0.5761626,0.005717317,0.00003146992,0.006940186,0.0001686833,0.1687712],"genre_scores_gemma":[0.8538448,0.0370009,0.0006175375,0.05240011,0.01456925,0.00004136288,0.002544786,0.0001201259,0.03886118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03147462,"threshold_uncertainty_score":0.1052931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633722575629001,"score_gpt":0.2226123935473273,"score_spread":0.2062751677910373,"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."}}