{"id":"W7033822535","doi":"","title":"Real estate market stability: evaluation of the metropolitan areas by using factor analysis and z-scores","year":2018,"lang":"en","type":"article","venue":"KTUePubl (Repository of Kaunas University of Technology)","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Metropolitan area; Predictability; Price index; Value (mathematics); Cost approach; Index (typography); Market risk; Market research","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":[0.000416376,0.00009541254,0.0003066435,0.0003425094,0.0002051866,0.000005517359,0.0003362336,0.0001384574,0.0003596875],"category_scores_gemma":[0.00009955005,0.0000750212,0.0001436754,0.0009449363,0.00121761,0.00009249415,0.00005936759,0.00009099839,4.401264e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002350234,"about_ca_system_score_gemma":0.00006071592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090931,"about_ca_topic_score_gemma":0.003619928,"domain_scores_codex":[0.9988787,0.000172469,0.0002065504,0.0002482549,0.0003511571,0.0001428762],"domain_scores_gemma":[0.9988551,0.00005440072,0.0003152873,0.0003380022,0.0003907028,0.00004651433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003350612,0.00002865807,0.9884912,0.00001256648,0.0003258911,5.627005e-7,0.0001192724,0.000286927,0.002917064,0.00001014361,0.00002932871,0.007744906],"study_design_scores_gemma":[0.0002765952,0.0001802137,0.8562332,0.00001770437,0.001674989,0.000001939608,0.002820027,0.1248288,0.0134191,0.0003569965,0.00006989429,0.0001205832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964114,0.0001151124,0.0001935003,0.0001582173,0.00003933891,0.00008166018,0.0000885216,0.00002206915,0.002890143],"genre_scores_gemma":[0.9986768,0.00006695358,0.001184589,0.000001845625,0.000006014005,2.539622e-8,0.00000772253,0.000001157471,0.00005492938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.132258,"threshold_uncertainty_score":0.9856105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831642673631643,"score_gpt":0.2124597306483154,"score_spread":0.1941433039119989,"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."}}