{"id":"W3202889858","doi":"10.2139/ssrn.4026568","title":"Low Demand for Reverse Mortgages in Canada: Price, Knowledge or Preferences?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université du Québec à Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Business; Economics; Monetary economics","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":[0.0009851148,0.0001722093,0.000569506,0.0009734172,0.002585253,0.003036886,0.00132735,0.001397103,0.01766531],"category_scores_gemma":[0.006046814,0.0002753734,0.0003487849,0.002414554,0.001838385,0.00132596,0.000732555,0.001974879,0.0008389325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02380566,"about_ca_system_score_gemma":0.02650669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940999,"about_ca_topic_score_gemma":0.9973718,"domain_scores_codex":[0.9989964,0.00006318124,0.0000402994,0.00009350503,0.0002307856,0.0005758198],"domain_scores_gemma":[0.9919388,0.001474786,0.002104975,0.0002083719,0.001909135,0.002364067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003412502,0.0002959914,0.9500636,0.00009856342,0.0001077672,0.0006701737,0.006569664,0.0008080389,0.0003671352,0.005163064,0.0137618,0.02175291],"study_design_scores_gemma":[0.00004228577,0.0000494458,0.9689047,0.0001230921,0.00004775498,0.0001505764,0.01909922,0.00158067,0.0001879808,0.001506358,0.008248908,0.00005892248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780347,0.0008492208,0.0001383066,0.009458644,0.00002188993,0.00001826233,0.00229315,0.000009547184,0.009176161],"genre_scores_gemma":[0.9942052,0.0003461097,0.00006001106,0.0003894553,0.00001580445,0.000002976734,0.0005422233,0.000005905958,0.004432528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02380566,"threshold_uncertainty_score":0.172723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222444014963383,"score_gpt":0.2181276461497224,"score_spread":0.1959032060000886,"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."}}