{"id":"W3183750603","doi":"10.1016/j.jum.2021.06.002","title":"Exploring housing market and urban densification during COVID-19 in Turkey","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Population; Quarter (Canadian coin); Curfew; Business; Economic interventionism; Government (linguistics); Coronavirus disease 2019 (COVID-19); Geography; Economic growth; Socioeconomics; Agricultural economics; Demographic economics; Economics; Finance; Political science; Environmental health; Medicine; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0009733738,0.000113688,0.0003186269,0.0004746374,0.00009475119,0.0001431951,0.0001195958,0.00003627745,0.0001260422],"category_scores_gemma":[0.0001936835,0.0001439644,0.00007808724,0.0002153218,0.00002248587,0.0004803225,0.0000973262,0.0001481648,0.00001259687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469869,"about_ca_system_score_gemma":0.00003117748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002781881,"about_ca_topic_score_gemma":0.00001468574,"domain_scores_codex":[0.9987131,0.00002799332,0.0007665071,0.0002366335,0.00004112495,0.0002146303],"domain_scores_gemma":[0.9990938,0.0000456884,0.0004730365,0.0001948295,0.0000242475,0.0001684456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002246022,0.0002348882,0.9470916,0.0007013121,0.0002759795,0.000995026,0.003190194,0.003644334,0.00007925915,0.02363388,0.01515671,0.004772231],"study_design_scores_gemma":[0.004689191,0.00007720596,0.6306574,0.0002992724,0.00006569969,0.0001757151,0.003633523,0.006400632,0.0001834814,0.01037039,0.3426204,0.0008271197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732893,0.00151692,0.001164169,0.001083599,0.0005856905,0.00008749565,0.000003101079,0.00001205808,0.02225774],"genre_scores_gemma":[0.9919643,0.004904767,0.001860531,0.0002275574,0.0001792382,0.000004376311,0.000001394493,0.00002163799,0.0008361542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3274637,"threshold_uncertainty_score":0.5870697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08403357987714531,"score_gpt":0.2268573257016946,"score_spread":0.1428237458245493,"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."}}