{"id":"W7132864950","doi":"","title":"Enlightened Preservation: Integrating Advanced Lighting Design in Preventive Conservation Strategies for Museums","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Visitor pattern; Doors; GLARE; Smart lighting","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":[0.001613605,0.0005707543,0.0001847553,0.0008209915,0.001442248,0.004081657,0.001177575,0.0006367353,0.005099475],"category_scores_gemma":[0.001952883,0.0002538283,0.0004294632,0.0004596624,0.002034264,0.002218862,0.002604254,0.0008047743,0.000468189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213116,"about_ca_system_score_gemma":0.001766177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005352343,"about_ca_topic_score_gemma":0.01752807,"domain_scores_codex":[0.9992415,0.0003792777,0.00001872333,0.00006741464,0.0001720622,0.0001212058],"domain_scores_gemma":[0.9992898,0.0003272572,0.00007729006,0.0001092444,0.0001209851,0.00007539264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000337653,0.0009347946,0.01657626,0.002489471,0.0001165035,0.0007227567,0.06908281,0.03239468,0.04050981,0.1339679,0.009119652,0.6937476],"study_design_scores_gemma":[0.000201435,0.001703869,0.04652542,0.002801892,0.0004795628,0.001477512,0.1078337,0.06146799,0.04404273,0.100539,0.6325862,0.0003407933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5063202,0.002191283,0.2764113,0.00443044,0.0001569989,0.0005975287,0.0001034855,0.0008621166,0.2089266],"genre_scores_gemma":[0.8682522,0.001137195,0.1163156,0.0002196844,0.00001978506,0.0001357951,0.00004286345,0.0001247103,0.01375223],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005352343,"threshold_uncertainty_score":0.01705945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0669000985389227,"score_gpt":0.3548857153530646,"score_spread":0.2879856168141419,"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."}}