{"id":"W4380051026","doi":"10.3390/e25060907","title":"The Role of Thermodynamic and Informational Entropy in Improving Real Estate Valuation Methods","year":2023,"lang":"en","type":"article","venue":"Entropy","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Valuation (finance); Real estate; Entropy (arrow of time); Income approach; Observable; Computer science; Econometrics; Economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00344049,0.00005430038,0.00008974224,0.0001372994,0.0001305132,0.00008031844,0.0002472058,0.00002808647,0.0000142242],"category_scores_gemma":[0.0009030442,0.00003385411,0.00003172407,0.0005673204,0.00007541457,0.0001365506,0.0001096486,0.00006993798,0.00002096741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002379058,"about_ca_system_score_gemma":0.00003788781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688606,"about_ca_topic_score_gemma":0.00003221349,"domain_scores_codex":[0.9988133,0.0001412013,0.0003996876,0.000127442,0.0003844101,0.0001339915],"domain_scores_gemma":[0.9982152,0.001238617,0.0002010031,0.0002275569,0.00009306765,0.00002455246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001186473,0.000006674727,0.002426135,0.00000135997,0.000002525554,1.250165e-7,0.0008305272,0.000336638,0.02565588,0.1374562,0.0000889267,0.8331832],"study_design_scores_gemma":[0.00009076891,0.00001853833,0.02964686,0.000003146785,0.000002024183,9.173321e-7,0.0005937257,0.6830907,0.001838384,0.2820436,0.002635843,0.00003544011],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695452,0.00002291777,0.02617976,0.0005151524,0.00005081469,0.0002586319,0.00001077538,0.00006865351,0.003348043],"genre_scores_gemma":[0.9808597,0.0001826825,0.01876698,0.00000881894,0.00001724095,0.00004792507,0.00000837309,0.000004974139,0.0001033048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8331477,"threshold_uncertainty_score":0.138053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0621042127407671,"score_gpt":0.4160278050532578,"score_spread":0.3539235923124907,"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."}}