{"id":"W4417497079","doi":"10.1201/9781003539254-4","title":"Artificial intelligence and machine learning in property and real asset valuation","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Corporate governance; Sustainable development; Profiling (computer programming); Applications of artificial intelligence; Asset (computer security)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623633,0.0007238639,0.0004763872,0.001809319,0.0008420661,0.005130089,0.0008271289,0.001498288,0.005980302],"category_scores_gemma":[0.003058246,0.0002654382,0.0005294212,0.003129854,0.004563418,0.005736449,0.001186599,0.003188855,0.001709007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002904229,"about_ca_system_score_gemma":0.00170992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490049,"about_ca_topic_score_gemma":0.003884951,"domain_scores_codex":[0.9990299,0.0004332074,0.00003856517,0.00009043212,0.000355707,0.00005211914],"domain_scores_gemma":[0.9982631,0.00142111,0.00005537565,0.0000938982,0.0001249359,0.00004168775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000822408,0.00001977684,0.0002725869,0.000199613,0.00001188836,0.00005773853,0.0003988388,0.00313392,0.00008800213,0.8656364,0.03433583,0.0958371],"study_design_scores_gemma":[0.00000193285,0.000009406379,0.0005058388,0.0004741445,0.000004409286,0.00009013075,0.0002036526,0.00347107,0.0001403217,0.7368673,0.2582178,0.00001407551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.005368554,0.251219,0.07540945,0.03290017,0.002686748,0.00008116532,0.0002043388,0.0002205036,0.6319101],"genre_scores_gemma":[0.2620575,0.3234566,0.08127019,0.00795369,0.00618279,0.000287057,0.0005617376,0.000323678,0.3179068],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005980302,"threshold_uncertainty_score":0.02107179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06745224956456929,"score_gpt":0.2492996612938576,"score_spread":0.1818474117292884,"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."}}