{"id":"W6990480219","doi":"","title":"Detailed 3D Reconstruction of Monuments Using Multiple Techniques","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Photogrammetry; Laser scanning; 3D modeling; 3d scanning; Point (geometry); Point cloud; Level of detail; Solid modeling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004826887,0.000981177,0.000725752,0.00285564,0.0004860953,0.002273148,0.0007651122,0.0008542312,0.003072629],"category_scores_gemma":[0.0007898204,0.0008864106,0.001470153,0.002392565,0.0004689215,0.001024902,0.001779852,0.0009214248,0.001127485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004382726,"about_ca_system_score_gemma":0.0007278884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317798,"about_ca_topic_score_gemma":0.007777415,"domain_scores_codex":[0.9994144,0.00005823286,0.00002519652,0.0001046455,0.0003224878,0.00007507071],"domain_scores_gemma":[0.9996413,0.00005120657,0.00003227015,0.0001784621,0.00007136419,0.00002529615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003323969,0.0001621559,0.006913665,0.000561296,0.0004484297,0.001135463,0.00118968,0.2742173,0.2054265,0.009419775,0.002623248,0.4975701],"study_design_scores_gemma":[0.00005694316,0.0003029244,0.04373588,0.000194607,0.0003738691,0.003830059,0.0009909649,0.7635755,0.1351267,0.008411025,0.04302161,0.0003799197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.11573,0.0007687979,0.8715562,0.0001282475,0.00005806501,0.00009106987,0.0006081541,0.002714793,0.008344745],"genre_scores_gemma":[0.4826797,0.00105547,0.5086719,0.00005022712,0.00004118855,0.00006344551,0.001078659,0.0004415519,0.005917764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003317798,"threshold_uncertainty_score":0.01027894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04113759481575542,"score_gpt":0.2195566798717719,"score_spread":0.1784190850560165,"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."}}