{"id":"W3200782896","doi":"10.3390/ijgi10090617","title":"Modeling and Processing of Smart Point Clouds of Cultural Relics with Complex Geometries","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Point cloud; Cultural heritage; Computer science; Geometric modeling; Point (geometry); Statue; Data science; Archaeology; Geography; Geometry; Artificial intelligence; Mathematics; Visual arts; Art","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":[0.000424958,0.0007066806,0.000498683,0.001267039,0.0004917148,0.001831652,0.001045967,0.0008846797,0.0007832547],"category_scores_gemma":[0.001062745,0.0004944006,0.001583452,0.001520425,0.0008102086,0.001416912,0.001144682,0.0007240456,0.0003315895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006876513,"about_ca_system_score_gemma":0.001249984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157306,"about_ca_topic_score_gemma":0.01507844,"domain_scores_codex":[0.9995458,0.00006051829,0.00002796058,0.00009095855,0.0002152661,0.00005946027],"domain_scores_gemma":[0.9996547,0.00009100412,0.0000514846,0.00008536239,0.00009506203,0.00002237118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004062119,0.00002760206,0.003546251,0.00008706344,0.00004149183,0.0004186987,0.000300377,0.9407109,0.01083266,0.01033725,0.001061923,0.03259517],"study_design_scores_gemma":[0.000002796634,0.000007895263,0.000718235,0.000006761303,0.000005823385,0.00007146991,0.00007101367,0.9938735,0.001854899,0.002246208,0.001128503,0.0000128496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05119806,0.0001368737,0.945381,0.0001898514,0.00003520153,0.00008717067,0.0005250808,0.0007371455,0.001709628],"genre_scores_gemma":[0.6607412,0.0006943052,0.3343159,0.00007429897,0.00003256079,0.0001873186,0.002061662,0.0001714688,0.001721286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02157306,"threshold_uncertainty_score":0.04289502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209086570968657,"score_gpt":0.2453901245782004,"score_spread":0.2232992588685139,"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."}}