{"id":"W2924615810","doi":"10.52842/conf.ecaade.2006.832","title":"Digital Reconstruction as a means of understanding a building’s history - Case studies of a multilayer prototype","year":2006,"lang":"en","type":"article","venue":"eCAADe proceedings","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Situated; Computer science; Field (mathematics); Augmented reality; Information and Communications Technology; Space (punctuation); Cognition; Human–computer interaction; Data science; Multimedia; Artificial intelligence; World Wide Web; Psychology","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":[0.00254296,0.0005012003,0.00033108,0.001263403,0.002689004,0.003121934,0.001466054,0.002169008,0.006809196],"category_scores_gemma":[0.005904706,0.0004582362,0.0005816593,0.0009754075,0.00624067,0.003754672,0.003740307,0.00163113,0.0004536361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778725,"about_ca_system_score_gemma":0.0007376348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004675585,"about_ca_topic_score_gemma":0.009269638,"domain_scores_codex":[0.9984913,0.0009130957,0.00005990555,0.0001207627,0.000244094,0.0001708131],"domain_scores_gemma":[0.9977857,0.00141371,0.00009977703,0.0004606332,0.0001000318,0.0001400683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"design_other","study_design_scores_codex":[0.000897051,0.002062017,0.01939344,0.000771973,0.00006586425,0.01501033,0.6835892,0.02928187,0.01679886,0.106478,0.002683486,0.1229679],"study_design_scores_gemma":[0.0002114969,0.003297546,0.02701668,0.0005401946,0.0001882986,0.01076946,0.6766693,0.04787571,0.03352085,0.03314636,0.16648,0.0002840507],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689546,0.0001049205,0.01031024,0.0004391131,0.0000144339,0.0001383842,0.00005732013,0.00006502224,0.01991593],"genre_scores_gemma":[0.9883801,0.00008584327,0.0075829,0.00001975278,0.000001888655,0.00003965151,0.0000288701,0.00001981153,0.003841167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006809196,"threshold_uncertainty_score":0.02277905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06122771365121059,"score_gpt":0.2461547490170345,"score_spread":0.1849270353658239,"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."}}