{"id":"W2109044754","doi":"10.1109/mcg.2002.1028724","title":"Active optical 3D imaging for heritage applications","year":2002,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Computer graphics (images); Cultural heritage; Field (mathematics); Computer graphics; Remote sensing; Multimedia; Geology; Archaeology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003080895,0.0004211389,0.0001844397,0.0009275281,0.0004749872,0.001205165,0.0006007327,0.0008571375,0.007917724],"category_scores_gemma":[0.0005420966,0.0002898468,0.0002993682,0.0008454034,0.0004525919,0.001158581,0.0006920248,0.0006576104,0.001865142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450559,"about_ca_system_score_gemma":0.0003485838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009780206,"about_ca_topic_score_gemma":0.002091678,"domain_scores_codex":[0.9997218,0.00003852403,0.000005352168,0.00002566773,0.0001897415,0.00001889483],"domain_scores_gemma":[0.9997352,0.00007793715,0.00001735601,0.00005579491,0.00009271237,0.00002095942],"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":[0.0001223073,0.00006790795,0.0007712895,0.0003928361,0.00001746685,0.0001457112,0.0001937205,0.00579926,0.2174565,0.02906178,0.02032984,0.7256414],"study_design_scores_gemma":[0.0000427665,0.0002155943,0.003895677,0.0001883645,0.0000598019,0.002453196,0.0002220648,0.1217875,0.256791,0.03784037,0.5764003,0.0001033196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01587121,0.01470007,0.8871247,0.002015677,0.0005165152,0.0001046578,0.0003033652,0.002772545,0.07659119],"genre_scores_gemma":[0.3542122,0.01788437,0.5938465,0.0008756412,0.0005167549,0.0001653113,0.000661901,0.0003402612,0.03149712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007917724,"threshold_uncertainty_score":0.02648747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333491950586092,"score_gpt":0.224449098192885,"score_spread":0.2011141786870241,"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."}}