{"id":"W1605289609","doi":"10.13128/aestimum-13126","title":"Application of some multidimensional comparative analysis methods to investigate secondary real estate market in Warsaw","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Polish socio-economic development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apartment; Real estate; Quarter (Canadian coin); Set (abstract data type); Architectural engineering; Computer science; Business; Finance; Actuarial science; Geography; Engineering; Civil engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004012037,0.0002982389,0.001750976,0.002316722,0.00007061442,0.000200023,0.001453278,0.0001239938,0.006076074],"category_scores_gemma":[0.0001351207,0.000348103,0.0002509258,0.001599648,0.0001190405,0.001710553,0.0007674242,0.0003335883,0.0001397949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00041833,"about_ca_system_score_gemma":0.0001706565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0062224,"about_ca_topic_score_gemma":0.000195488,"domain_scores_codex":[0.9965363,0.0002331909,0.002012148,0.0006975818,0.0001290652,0.0003917608],"domain_scores_gemma":[0.9966397,0.0004714365,0.001908065,0.0005722703,0.0001293138,0.0002792027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001520352,0.0001846464,0.9727079,0.00006301136,0.0009260594,0.000002414,0.001651974,0.004586409,0.00567158,0.0027424,0.004336433,0.006975183],"study_design_scores_gemma":[0.0006247737,0.000007765046,0.9643697,0.0000474094,0.00004245026,8.414844e-7,0.000138046,0.005654657,0.005233427,0.01367494,0.009805763,0.0004002161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966935,0.00136964,0.001330172,0.0001724294,0.0003237696,0.0007650784,0.0003162646,0.00001346133,0.02877413],"genre_scores_gemma":[0.9731668,0.003500686,0.02208347,0.0004044811,0.00003716625,0.00009933013,0.00005426163,0.00003482752,0.000618951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02815518,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2249116410608301,"score_gpt":0.5242106066121508,"score_spread":0.2992989655513207,"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."}}