{"id":"W4392783840","doi":"10.5194/isprs-archives-xlviii-2-w4-2024-413-2024","title":"3D MODELLING AND VIRTUAL REALITY FOR MUSEUM HERITAGE PRESENTATION: CONTEXTUALISATION OF SCULPTURE FROM THE TANG ERA","year":2024,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Museum of Fine Arts of Quebec","funders":"","keywords":"Sculpture; Presentation (obstetrics); Virtual reality; Visual arts; Cultural heritage; Art; Augmented reality; Art history; History; Computer science; Archaeology; Human–computer interaction; Medicine","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":[0.0004370696,0.0004518603,0.0001419803,0.001728624,0.001339429,0.003893148,0.0003552887,0.0004756566,0.008527785],"category_scores_gemma":[0.00129642,0.000192703,0.0004132217,0.001235033,0.002268949,0.001330338,0.002353879,0.0004288993,0.00049865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048962,"about_ca_system_score_gemma":0.0007030489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007215514,"about_ca_topic_score_gemma":0.02120542,"domain_scores_codex":[0.9996038,0.0002084148,0.00001278186,0.00005265602,0.00007043641,0.00005193066],"domain_scores_gemma":[0.9997134,0.0001259602,0.00003249614,0.00006280003,0.00002986065,0.00003539736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006315361,0.0001705256,0.04241776,0.001487826,0.0001025383,0.007585458,0.593646,0.01431687,0.03161357,0.04683718,0.004716856,0.2564738],"study_design_scores_gemma":[0.00003624387,0.0004725195,0.19884,0.001992756,0.0002187009,0.006617641,0.4605777,0.01792654,0.01174329,0.01206357,0.2892985,0.0002125972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979921,0.0011119,0.017935,0.0003589652,0.00005272301,0.0001412362,0.0004282064,0.000223319,0.08175644],"genre_scores_gemma":[0.9908632,0.0002583269,0.005824923,0.00001702321,0.000007415076,0.00002148279,0.0001136891,0.00003096979,0.002863007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008527785,"threshold_uncertainty_score":0.02852827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179458965314921,"score_gpt":0.2595673723731274,"score_spread":0.2277727827199782,"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."}}