{"id":"W2141012860","doi":"10.1016/j.isprsjprs.2014.05.011","title":"Remote spectral imaging with simultaneous extraction of 3D topography for historical wall paintings","year":2014,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Engineering and Physical Sciences Research Council; Ministry of Science and Technology of the People's Republic of China; Trent University; Nottingham Trent University","keywords":"Multispectral image; Spectral imaging; Remote sensing; Geology; Computer science; Optics; Physics","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":[0.0002378554,0.0004108818,0.0002409025,0.001190068,0.0001798009,0.0005116489,0.0004023694,0.0003360589,0.003510066],"category_scores_gemma":[0.0003971885,0.0003554298,0.0004257807,0.001066892,0.0002881484,0.0005731633,0.0006347706,0.0005100245,0.001267331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536159,"about_ca_system_score_gemma":0.0002543205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006419704,"about_ca_topic_score_gemma":0.00205684,"domain_scores_codex":[0.9997565,0.00002305207,0.000006547885,0.00004746318,0.0001433949,0.00002305018],"domain_scores_gemma":[0.9998509,0.00003352164,0.00001997435,0.00004560269,0.00004149599,0.000008429754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001172741,0.00004322006,0.002737354,0.000378518,0.00003371836,0.0005336734,0.000264314,0.007033244,0.8210479,0.001028731,0.001553351,0.1652288],"study_design_scores_gemma":[0.00004715921,0.0003066072,0.06983174,0.000103464,0.00009114587,0.00546755,0.0006285947,0.1371292,0.7533508,0.002790632,0.03008024,0.0001727452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5053658,0.001484094,0.4641974,0.0003441988,0.0001029596,0.0001946937,0.00203027,0.003710238,0.02257038],"genre_scores_gemma":[0.5753014,0.0008548661,0.4183773,0.00009171168,0.00005305648,0.00006934338,0.0009655359,0.0002938731,0.003992912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003510066,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006491033765996399,"score_gpt":0.2338001004544036,"score_spread":0.2273090666884071,"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."}}