{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000602499,0.00007209857,0.0001577736,0.0003824289,0.0003561248,0.0002238022,0.0002466651,0.00003942687,0.0005046969],"category_scores_gemma":[0.00005731413,0.00007372785,0.00004193475,0.0002210186,0.0004061813,0.0004828924,0.00001021134,0.0001037439,0.00002187367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444302,"about_ca_system_score_gemma":0.0002155649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003861452,"about_ca_topic_score_gemma":0.001377452,"domain_scores_codex":[0.9992564,0.000006431933,0.0002880346,0.0001571315,0.00004789898,0.0002441466],"domain_scores_gemma":[0.9991708,0.00002279784,0.0002304236,0.00007798818,0.00006223421,0.000435801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000122779,0.0000277923,0.6203992,0.0000138579,0.00003279228,0.00007968596,0.001671519,0.0000739911,0.0000434722,0.2973264,0.0171091,0.06320991],"study_design_scores_gemma":[0.0004054985,0.0000707625,0.5389494,0.0000289394,0.000004994093,0.0004414831,0.0002130677,0.008763413,0.000007771065,0.02230274,0.4284557,0.0003561774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609427,0.002899893,0.0001452802,0.006737963,0.0008728437,0.0000284993,0.000008075952,0.000002541341,0.02836224],"genre_scores_gemma":[0.9969151,0.0008348636,0.00110224,0.0003895528,0.0006066939,3.128787e-7,2.316509e-7,0.000005108114,0.0001458918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4113466,"threshold_uncertainty_score":0.5526077,"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."}}