{"id":"W130488555","doi":"","title":"A Hierarchical 3D Reconstruction Approach for Documenting Complex Heritage Sites","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Provincia Autonoma di Trento","keywords":"Documentation; Computer science; Visualization; Hierarchy; Cultural heritage; Task (project management); Data integration; Laser scanning; Data science; Data mining; Computer graphics (images); Archaeology; Engineering; Systems engineering; Geography; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001685915,0.00008716029,0.0001225984,0.00004602673,0.0004258293,0.0002130028,0.00007695176,0.00002688606,0.004923327],"category_scores_gemma":[0.0000206969,0.0000790696,0.0000683813,0.00001800405,0.0001466153,0.0002094096,0.00002605901,0.00008830781,0.00003115406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002872263,"about_ca_system_score_gemma":0.00001281246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001191427,"about_ca_topic_score_gemma":0.000464559,"domain_scores_codex":[0.999332,0.00002950866,0.0001750732,0.0001688956,0.00009958954,0.0001949636],"domain_scores_gemma":[0.9997099,0.00003593419,0.00005076732,0.00009330399,0.00006526686,0.00004483775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006430422,0.0003199554,0.001382003,0.0001320759,0.0001114127,0.000001124312,0.01110154,0.00002365073,0.03897617,0.7654057,0.02749326,0.1549889],"study_design_scores_gemma":[0.0009173428,0.0001204145,0.000604052,0.00001694694,0.00003694359,0.00000979868,0.001580497,0.03429972,0.0008034059,0.02752241,0.9337334,0.0003550914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4106577,0.00001624901,0.000650602,0.0007574618,0.0001643119,0.0003246314,0.00004582834,0.00008036246,0.5873029],"genre_scores_gemma":[0.9719442,0.000004021132,0.0186492,0.0001992236,0.00111574,0.0000422094,0.00004214927,0.00001244916,0.00799077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9062401,"threshold_uncertainty_score":0.9959863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490099748117121,"score_gpt":0.2627597765585615,"score_spread":0.2078587790773903,"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."}}