{"id":"W4400431052","doi":"10.1007/978-3-031-61698-3_30","title":"Re-contextualizing Built Environments: Critical and Inclusive HCI Approaches for Cultural Heritage","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Cultural heritage; Human–computer interaction; Architectural engineering; Geography; Archaeology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004588588,0.001269022,0.0007739651,0.00182296,0.002986217,0.01771509,0.002709429,0.003619375,0.00990219],"category_scores_gemma":[0.006925226,0.0007069555,0.0006673301,0.001913268,0.01447008,0.01762652,0.01169693,0.004155622,0.00140285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175714,"about_ca_system_score_gemma":0.002464139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110943,"about_ca_topic_score_gemma":0.006989672,"domain_scores_codex":[0.996542,0.002161535,0.0001027774,0.0003487435,0.0005692034,0.0002758058],"domain_scores_gemma":[0.9953735,0.00332365,0.0001188937,0.0006850297,0.0002792938,0.0002195188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008961627,0.0001279178,0.001118821,0.00175914,0.00004863536,0.0006754989,0.3473923,0.001316574,0.007388206,0.3903421,0.01832223,0.231419],"study_design_scores_gemma":[0.0000274159,0.00008124403,0.001250169,0.001653702,0.00008701087,0.001019863,0.2042902,0.003092267,0.003686055,0.3192217,0.4655057,0.00008469023],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07156681,0.0193067,0.5708897,0.02206788,0.001302962,0.0003589832,0.0002626101,0.002174933,0.3120695],"genre_scores_gemma":[0.6996003,0.0131013,0.2326818,0.003507311,0.0003260408,0.0005593466,0.0003525538,0.0009317481,0.04893966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01771509,"threshold_uncertainty_score":0.03312612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05207476776687218,"score_gpt":0.2707981569515788,"score_spread":0.2187233891847066,"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."}}