{"id":"W7071800361","doi":"","title":"Surface reconstruction of large complex structures from mixed range data – The Erechtheion experience","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Photogrammetry; Scanner; Software; Surface reconstruction; Point cloud; 3D reconstruction; Laser scanning; Focus (optics); Iterative reconstruction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002025365,0.00008657065,0.0001286591,0.000008709369,0.0002691756,0.00001650272,0.0004561483,0.00004420217,0.00645544],"category_scores_gemma":[0.0000433468,0.00005123115,0.00002667089,0.0001126861,0.0001669995,0.0002090319,0.00002693059,0.00009726242,0.00004241951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000155392,"about_ca_system_score_gemma":0.00001620123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537263,"about_ca_topic_score_gemma":0.002898152,"domain_scores_codex":[0.9991007,0.0001664115,0.0001573009,0.0002128783,0.0002008122,0.0001618376],"domain_scores_gemma":[0.9992973,0.0001406282,0.00007515583,0.0004161407,0.00002800419,0.00004274935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007102418,0.00001191653,0.9433477,0.000006773519,0.00002125538,0.000006374223,0.002900431,0.00009998419,0.008886384,0.00004582877,0.005699431,0.03890292],"study_design_scores_gemma":[0.0001968825,0.00002185417,0.9878629,0.000008217338,0.00000542643,0.00002878284,0.001417019,0.005697038,0.001029374,0.0008225329,0.002810007,0.00009990406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943256,0.0002381544,0.00005867054,0.0001009138,0.0003454956,0.00007748025,0.000865653,0.00002865358,0.003959407],"genre_scores_gemma":[0.9963873,0.00008308895,0.002801155,0.00005414293,0.00006239766,2.150947e-7,0.0005035008,0.000001922313,0.0001062739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04451529,"threshold_uncertainty_score":0.9944528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082882443232592,"score_gpt":0.2686697315147875,"score_spread":0.1603814871915283,"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."}}