{"id":"W4389841245","doi":"10.5267/j.dsl.2023.10.003","title":"Generations, permanent income and housing tenure choice: A multinomial logit model approach","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Housing tenure; Multinomial logistic regression; Residence; Renting; Rental housing; Demographic economics; Economics; Survey data collection; Affordable housing; Public economics; Labour economics; Economic growth; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004639747,0.0006308874,0.0010172,0.00123067,0.000796927,0.001744112,0.001198431,0.001223976,0.01040733],"category_scores_gemma":[0.007853135,0.0004456556,0.001123121,0.00154374,0.0007085263,0.001380198,0.001226869,0.001323904,0.001000181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124321,"about_ca_system_score_gemma":0.001039153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02780799,"about_ca_topic_score_gemma":0.02306972,"domain_scores_codex":[0.9974543,0.001896389,0.00005471241,0.0001865218,0.0001029017,0.0003052329],"domain_scores_gemma":[0.9938285,0.005023472,0.0005553928,0.0001339803,0.0001666449,0.0002919261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001316998,0.001016057,0.7169827,0.0002893667,0.001136847,0.00213886,0.002221323,0.187541,0.0005212497,0.04559733,0.006123668,0.03511473],"study_design_scores_gemma":[0.0001645101,0.000807972,0.09541009,0.0001047629,0.0003104538,0.0004430094,0.002962875,0.8709563,0.0001996829,0.02182377,0.006716161,0.0001004262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464547,0.0008925921,0.04445357,0.001686028,0.0001540168,0.0002248439,0.001918323,0.0001128009,0.004103185],"genre_scores_gemma":[0.9841515,0.0005021396,0.006390829,0.00009947023,0.00005901572,0.0002153943,0.000635224,0.00001465843,0.00793181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02780799,"threshold_uncertainty_score":0.05529225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05874278750557914,"score_gpt":0.2671182173017668,"score_spread":0.2083754297961877,"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."}}