{"id":"W3204565261","doi":"10.3390/jrfm14100466","title":"Cost–Benefit Analysis in the Evaluation of Cultural Heritage Project Funding","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultural heritage; Cultural heritage management; Tourism; Recreation; Cultural economics; Industrial heritage; Business; Investment (military); Cost–benefit analysis; European union; Economics; Economic policy; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002139612,0.00004738464,0.0001143437,0.00008494542,0.00005618389,0.00002505471,0.00007715411,0.00001889138,0.00004981163],"category_scores_gemma":[0.00009513804,0.00003156874,0.00006440684,0.0006101166,0.0000214667,0.0001177226,0.00003551188,0.00008058856,0.00000129522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006766704,"about_ca_system_score_gemma":0.000009165475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001025141,"about_ca_topic_score_gemma":0.0002914872,"domain_scores_codex":[0.9990017,0.0001370963,0.0002298606,0.00007914109,0.0004760764,0.00007610654],"domain_scores_gemma":[0.9996491,0.0000307987,0.0002034028,0.0000700591,0.00003446322,0.00001219163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004691386,0.0001328645,0.6523496,0.00001251035,0.00006821565,0.0000282908,0.008630799,0.02973598,0.00007796987,0.000275853,0.001158281,0.3074827],"study_design_scores_gemma":[0.0004324045,0.00004039357,0.988804,0.00001947871,0.000624341,0.000004596154,0.003018714,0.003569919,0.00002446995,0.0005858528,0.002832951,0.00004285567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962067,0.0003101425,0.001877405,0.00004439268,0.00005663095,0.0001200359,0.000002559892,9.228778e-7,0.001381187],"genre_scores_gemma":[0.9987913,0.0003421583,0.0007566129,0.00002520358,0.00002627503,0.000003753869,0.000002885825,0.000001375487,0.00005038257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3364544,"threshold_uncertainty_score":0.1287336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0667886040120394,"score_gpt":0.3164212305392674,"score_spread":0.249632626527228,"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."}}