{"id":"W4362581695","doi":"10.3390/jrfm16040220","title":"Exploring the Effects of Municipal Land and Building Policies on Apartment Size in New Residential Construction in Sweden","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kungliga Tekniska Högskolan","keywords":"Apartment; Renting; Metropolitan area; Presumption; Per capita; Population; Business; Proxy (statistics); Population size; Panel data; Economics; Agricultural economics; Geography; Engineering; Civil engineering; Econometrics","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":[0.0007233467,0.0001674126,0.0003803473,0.0007392527,0.0002714376,0.00113681,0.0004196653,0.0003760716,0.002188591],"category_scores_gemma":[0.002945607,0.0001881446,0.0007846723,0.0009540266,0.0004992094,0.0005474676,0.001027502,0.0006375108,0.0003074155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007637892,"about_ca_system_score_gemma":0.0005575266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03494518,"about_ca_topic_score_gemma":0.05298889,"domain_scores_codex":[0.9994938,0.0001551297,0.00003816486,0.0001233804,0.0000640224,0.0001255297],"domain_scores_gemma":[0.9958907,0.001950818,0.001346304,0.0001812746,0.0002093159,0.0004215772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001094463,0.00005293111,0.9916648,0.00001800741,0.0001324778,0.0002219219,0.00030022,0.003706264,0.0002291319,0.0003958216,0.0003616704,0.002807201],"study_design_scores_gemma":[0.000003129426,0.00003457831,0.9956594,0.000009556391,0.00003913023,0.00005159868,0.0008170114,0.002669841,0.0001024572,0.0001593288,0.0004482298,0.000005801702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992244,0.0001464345,0.00008677015,0.0000654295,0.000002679666,0.000001184742,0.0001734805,0.000003888071,0.0002957277],"genre_scores_gemma":[0.9991263,0.00009902802,0.0000491724,0.000006371661,0.000005682659,0.0000025905,0.000399533,0.000002889449,0.0003084921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03494518,"threshold_uncertainty_score":0.06948358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153073243340722,"score_gpt":0.2285665917793607,"score_spread":0.1970358593459535,"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."}}