{"id":"W2797153493","doi":"10.5040/9781641899444","title":"Digital Techniques for Documenting and Preserving Cultural Heritage","year":2017,"lang":"en","type":"book","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; Museum Conservation Institute; Norges Forskningsråd; Ministerio de Economía y Competitividad; European Commission; University of Warwick; Smithsonian Institution; York University; Carnegie Mellon University","keywords":"Cultural heritage; Geography; Archaeology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004156885,0.0006287322,0.0002407718,0.003068913,0.00136787,0.004786859,0.001018592,0.0009165311,0.03420895],"category_scores_gemma":[0.001134212,0.0003176093,0.000424178,0.004427739,0.002450961,0.004360119,0.002143286,0.001835512,0.01244106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010558,"about_ca_system_score_gemma":0.001100684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206429,"about_ca_topic_score_gemma":0.005108034,"domain_scores_codex":[0.9993309,0.0000718485,0.00002640586,0.00006440735,0.0004810017,0.00002537094],"domain_scores_gemma":[0.9995102,0.0002389309,0.00002382536,0.0001019778,0.0001023212,0.000022685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001478533,0.000015977,0.0001194439,0.0007763927,0.000009658958,0.0001245965,0.001599002,0.0005340557,0.002303392,0.2843846,0.2857788,0.4243394],"study_design_scores_gemma":[0.00000111573,0.000003040868,0.00009014869,0.0001432784,0.000001848343,0.0001812304,0.0001180643,0.00007653674,0.0003008196,0.009441621,0.9896377,0.000004504401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001543595,0.06810474,0.06047332,0.003091421,0.004020887,0.0001215033,0.0005670255,0.0009217563,0.8611558],"genre_scores_gemma":[0.01605575,0.08228152,0.07398638,0.00160972,0.001298671,0.0001734318,0.0008299804,0.0008949238,0.8228697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03420895,"threshold_uncertainty_score":0.1144403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782449593240069,"score_gpt":0.2523257670534076,"score_spread":0.2245012711210069,"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."}}