{"id":"W7009171493","doi":"","title":"3D modelling of heritage monuments: increasing realism by combining techniques","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Realism; Cultural heritage; Software; 3d model; Field (mathematics); 3D 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":[0.001172313,0.001325528,0.001163797,0.002399247,0.0005147797,0.003996378,0.001387907,0.001282692,0.003424331],"category_scores_gemma":[0.002440265,0.001096636,0.00222506,0.001770068,0.001135442,0.00221826,0.004078839,0.001596832,0.001430687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005018983,"about_ca_system_score_gemma":0.0004751783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127178,"about_ca_topic_score_gemma":0.003117257,"domain_scores_codex":[0.9985623,0.0003460039,0.00008779514,0.0001295695,0.0008072329,0.00006709874],"domain_scores_gemma":[0.9989843,0.000448235,0.00005379774,0.0003526018,0.0001259682,0.0000349854],"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":[0.0001484949,0.00008059944,0.001448023,0.0009213391,0.0002573204,0.0005119893,0.001723976,0.3901174,0.06879082,0.04414548,0.00329197,0.4885626],"study_design_scores_gemma":[0.00007306984,0.0001868637,0.002282245,0.0004587023,0.0002622923,0.002363424,0.0006521383,0.7761492,0.03401595,0.05044524,0.1328016,0.0003093374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00585767,0.0007882439,0.9878041,0.0001609642,0.00004741732,0.00005384818,0.00005229752,0.0007277093,0.004507757],"genre_scores_gemma":[0.1164948,0.002902562,0.8760085,0.0001021553,0.00008506951,0.0001093265,0.0002012272,0.0005269888,0.003569486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003996378,"threshold_uncertainty_score":0.01145548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659418244739367,"score_gpt":0.2171550625378328,"score_spread":0.1905608800904391,"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."}}