{"id":"W2236786580","doi":"","title":"A Comparison of US and Canadian Residential Mortgage Markets","year":2002,"lang":"en","type":"article","venue":"ERES eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Government (linguistics); Financial market; Public policy; Globalization; Economics; Finance; Business; Market economy; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002094702,0.00009318953,0.0002983632,0.0002106768,0.00009290107,0.00005402944,0.0001148162,0.00007933962,0.0007519411],"category_scores_gemma":[0.00003677398,0.0001219278,0.00004845342,0.00002588618,0.00007069425,0.00005327521,0.00003271752,0.00009295416,0.0001045331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005032634,"about_ca_system_score_gemma":0.00001242498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03212614,"about_ca_topic_score_gemma":0.08688745,"domain_scores_codex":[0.9991348,0.00001043061,0.0004009531,0.0002044374,0.00001485438,0.000234559],"domain_scores_gemma":[0.9994656,0.00002790964,0.0001599788,0.0002014084,0.000008856114,0.0001361793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003293055,0.00004756173,0.9102598,0.00006976431,0.00008705351,0.00001592908,0.002604528,0.00001877169,0.00003284909,0.03654381,0.02251326,0.02777372],"study_design_scores_gemma":[0.001305023,0.000120085,0.3447419,0.00004434294,0.00002202909,0.00001471719,0.0001920094,0.02211711,0.0004895711,0.01460494,0.6155919,0.0007564338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.542982,0.0003337645,0.00001061587,0.00005313441,0.0001492729,0.00005344872,0.00002634306,0.000008822526,0.4563826],"genre_scores_gemma":[0.9952016,0.00004329237,0.0001657826,0.00006489432,0.00006106681,0.000003462755,0.000002216733,0.0000168965,0.004440768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5930786,"threshold_uncertainty_score":0.974319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04857558075279836,"score_gpt":0.229795460464497,"score_spread":0.1812198797116986,"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."}}