{"id":"W4382931285","doi":"10.1016/j.culher.2023.06.018","title":"Defect detection: An improved YOLOX network applied to a replica of “The Birth of Venus” by Botticelli","year":2023,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Replica; Computer science; Upsampling; Artificial intelligence; Convolutional neural network; Computer vision; Feature (linguistics); Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003438809,0.00008504925,0.0002336885,0.00003137916,0.0001746179,0.00003335076,0.0001663609,0.00002987132,0.0000662684],"category_scores_gemma":[0.00004094397,0.00005109882,0.0001714907,0.0001460477,0.00008262889,0.00009782291,0.00004631482,0.0001400161,0.000002262183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001972059,"about_ca_system_score_gemma":0.00001363903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004782902,"about_ca_topic_score_gemma":0.0002997502,"domain_scores_codex":[0.9992024,0.000044744,0.0004004159,0.00007806328,0.0001544641,0.0001199577],"domain_scores_gemma":[0.9991658,0.00004964765,0.000369336,0.0001410671,0.0002350834,0.00003911206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001331818,0.0003689045,0.001297017,0.0004361155,0.0007405759,0.00001689132,0.09967785,0.0002011967,0.4547296,0.01170957,0.3805487,0.04894175],"study_design_scores_gemma":[0.0005761784,0.00128613,0.002958458,0.0001581497,0.00009438099,0.00001614433,0.01930854,0.0001143157,0.02090381,0.001641297,0.9526961,0.000246491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963205,0.0002840355,0.00004219363,0.0008758328,0.0003157629,0.00018987,0.00001932452,0.00003643786,0.00191599],"genre_scores_gemma":[0.9972087,0.00005626433,0.0001825802,0.0002882304,0.0002577007,0.000008599913,9.871699e-7,0.000008907074,0.001988059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5721474,"threshold_uncertainty_score":0.2083749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091280502940507,"score_gpt":0.2506221913758784,"score_spread":0.2197093863464733,"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."}}