{"id":"W192654773","doi":"","title":"Generational Differences and Future Housing Markets","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Immigration; Geography; Demographic economics; Census; Political science; Futures contract; Humanities; Welfare economics; Demography; Sociology; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007428083,0.0001748613,0.0001745518,0.0008279908,0.001156617,0.001590265,0.0003962823,0.0002388055,0.005249112],"category_scores_gemma":[0.001600187,0.0001045429,0.0002657403,0.001169475,0.0009466345,0.0007731845,0.0008085989,0.0002639224,0.000225466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003714784,"about_ca_system_score_gemma":0.00228953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4797849,"about_ca_topic_score_gemma":0.6698418,"domain_scores_codex":[0.9996038,0.00005182345,0.00001012641,0.00005393496,0.0001035533,0.0001767852],"domain_scores_gemma":[0.9995634,0.00008098184,0.0001111216,0.00003605456,0.0001178747,0.00009053609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001739561,0.00005141725,0.7678698,0.0001208075,0.0001362405,0.001195485,0.01320834,0.003530666,0.001492683,0.09718001,0.00397793,0.1110626],"study_design_scores_gemma":[0.000006506411,0.00002610178,0.9563584,0.00004695583,0.00002369443,0.0001874241,0.005306129,0.001031954,0.0001869151,0.01026479,0.02653314,0.00002802647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524785,0.003737593,0.001947732,0.001421606,0.00004951884,0.00005098716,0.001379331,0.00002177717,0.03891285],"genre_scores_gemma":[0.9933231,0.001500735,0.0005642304,0.00006309563,0.00001123887,0.00000905637,0.0003178066,0.000007016792,0.004203654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4797849,"threshold_uncertainty_score":0.9539845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280827043365915,"score_gpt":0.1856740812608915,"score_spread":0.1428658108272323,"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."}}