{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003195089,0.00006948998,0.0001538301,0.0001107227,0.00005353305,0.00009382007,0.0001260648,0.00003251955,0.00009525986],"category_scores_gemma":[0.0001275511,0.00004696579,0.0000438011,0.0001512561,0.00005076563,0.002015283,0.00001184176,0.0001032923,0.000002351892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007834828,"about_ca_system_score_gemma":0.00008769098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002240926,"about_ca_topic_score_gemma":0.0001317238,"domain_scores_codex":[0.9988753,0.00002338428,0.0005020708,0.00003822056,0.0004826921,0.00007832404],"domain_scores_gemma":[0.9980146,0.00003584639,0.0004088249,0.00003831757,0.001458966,0.0000434334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001745761,0.00007286138,0.322829,0.0004517537,0.0003517595,0.00003323514,0.01713833,0.2547205,0.001564299,0.0004656689,0.0005394992,0.4000873],"study_design_scores_gemma":[0.003104849,0.0009761594,0.3991954,0.001221007,0.00009955869,0.001838928,0.02993776,0.5527175,0.005709667,0.0007663422,0.003956932,0.0004758787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912879,0.0003347817,0.006851348,0.000301484,0.0001826105,0.00002839257,0.00005407903,0.000004564105,0.000954784],"genre_scores_gemma":[0.9957846,0.0001508887,0.003818526,0.00009467895,0.00003879114,7.631456e-8,0.00009923278,9.640083e-7,0.00001220535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3996114,"threshold_uncertainty_score":0.1915209,"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."}}