{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":16,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":16,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"9dea9bea0dcb","filters":{"venue":"Journal of Cultural Heritage"}},"results":[{"id":"W2047174744","doi":"10.1016/s1296-2074(03)00024-4","title":"Near-infrared spectroscopic imaging in art conservation: investigation of drawing constituents","year":2003,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":93,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Remote sensing; Instrumentation (computer programming); Conservation; Principal component analysis; Hyperspectral imaging; Imaging spectroscopy; Spectral resolution; Near-infrared spectroscopy; Computer science; Materials science; Optics; Computer graphics (images); Archaeology; Geology; Artificial intelligence; Environmental science; Physics; Geography; Spectral line","authors":[{"name":"Michael Attas","is_ca":true},{"name":"E. A. Cloutis","is_ca":true},{"name":"Catherine Collins","is_ca":false},{"name":"Douglas M. Goltz","is_ca":true},{"name":"Claudine Majzels","is_ca":true},{"name":"James Mansfield","is_ca":true},{"name":"Henry H. Mantsch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03101469721108078,"gpt":0.2465126244801482,"spread":0.2154979272690674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002070957,0.0001774429,0.000143709,0.0007613744,0.0005016917,0.0005491286,0.0003335311,0.0005201701,0.002705527],"category_scores_gemma":[0.0004504865,0.0002301922,0.0001162794,0.0006275258,0.0003501729,0.0008580151,0.0002191025,0.0004299767,0.0003521216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000964373,"about_ca_system_score_gemma":0.0001327006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005805499,"about_ca_topic_score_gemma":0.001352441,"domain_scores_codex":[0.9999129,0.00001849106,0.000002275384,0.00002163911,0.0000309439,0.0000137988],"domain_scores_gemma":[0.9997781,0.00008912814,0.00002929608,0.00001910003,0.00006459288,0.00001978995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003921423,0.0001391486,0.005261153,0.0001181849,0.0000139533,0.0001441937,0.0002078864,0.0008555836,0.9421897,0.001018567,0.0002522358,0.04940732],"study_design_scores_gemma":[0.00002631003,0.0002462018,0.06379083,0.00003464515,0.0001000278,0.001225422,0.0007825042,0.02155397,0.9066213,0.001218103,0.004372874,0.00002782365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496676,0.001392151,0.03435295,0.0001800118,0.00002676283,0.00003136669,0.00009094013,0.00008187348,0.01417632],"genre_scores_gemma":[0.9802575,0.0008670315,0.01570132,0.00004927623,0.00001560489,0.00001347865,0.00004285033,0.0000411826,0.003011724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002705527,"threshold_uncertainty_score":0.009050846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2777073510","doi":"10.1016/j.culher.2017.11.008","title":"Predicting and grouping digitized paintings by style using unsupervised feature learning","year":2017,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ontario Institute of Technology","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Style (visual arts); Painting; Feature (linguistics); Artificial intelligence; Computer science; Pattern recognition (psychology); Art; Visual arts; Linguistics","authors":[{"name":"Eren Gultepe","is_ca":true},{"name":"Thomas E. Conturo","is_ca":false},{"name":"Masoud Makrehchi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03598847124931009,"gpt":0.2952830541051492,"spread":0.2592945828558391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002910547,0.000660511,0.0006407394,0.002148056,0.0003301294,0.001005784,0.0005562861,0.0005149365,0.002096023],"category_scores_gemma":[0.0007477511,0.000293726,0.0009949072,0.00154038,0.0003497639,0.0008005507,0.0006767626,0.0006123678,0.0009373276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230109,"about_ca_system_score_gemma":0.0003033624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766103,"about_ca_topic_score_gemma":0.00620091,"domain_scores_codex":[0.9998128,0.00001488716,0.000006939816,0.00007842352,0.00004178202,0.00004521446],"domain_scores_gemma":[0.9996995,0.00007959792,0.00003241036,0.000057244,0.00009649699,0.00003476597],"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":[0.0005206557,0.0004039571,0.01999195,0.0001499845,0.0001593697,0.000170372,0.0001968172,0.02820176,0.1196479,0.00114338,0.004905274,0.8245085],"study_design_scores_gemma":[0.0000286384,0.0001757252,0.05423457,0.00003088433,0.00009775598,0.0003906143,0.0002463677,0.9151713,0.02334294,0.004038714,0.002202136,0.00004037341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6103685,0.000678783,0.3799976,0.000194262,0.0001325323,0.000173716,0.00104711,0.003030192,0.004377287],"genre_scores_gemma":[0.846153,0.0003566526,0.1487136,0.00004312183,0.00006984986,0.00006716121,0.001394238,0.0001521266,0.00305026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002766103,"threshold_uncertainty_score":0.00701189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2240012835","doi":"10.1016/j.culher.2015.12.004","title":"Virtual reconstruction of the historical acoustics of the Odeon of Pompeii","year":2016,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Ancient Mediterranean Archaeology and History","field":"Arts and Humanities","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architecture; Visual arts; Art; Archaeology; History; Engineering","authors":[{"name":"Umberto Berardi","is_ca":true},{"name":"Gino Iannace","is_ca":false},{"name":"Luigi Maffei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02969819471802097,"gpt":0.2085988838035468,"spread":0.1789006890855259,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002159013,0.000308291,0.0002265296,0.001093741,0.0006642736,0.001284036,0.0004109937,0.0005405889,0.006924492],"category_scores_gemma":[0.0007502456,0.0002292648,0.0001842123,0.0009987806,0.0008310319,0.000638704,0.001566937,0.0005084104,0.0007502128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750243,"about_ca_system_score_gemma":0.0005799198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006950618,"about_ca_topic_score_gemma":0.01394674,"domain_scores_codex":[0.9999062,0.00001132996,0.000002952385,0.00002754521,0.00003006414,0.00002189548],"domain_scores_gemma":[0.9999224,0.00002466908,0.000008212277,0.00001617748,0.00001438896,0.00001408425],"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":[0.00265147,0.0002290352,0.06747309,0.001500303,0.0002977725,0.01566552,0.0625954,0.0428405,0.1293369,0.03103037,0.01538259,0.630997],"study_design_scores_gemma":[0.0001734014,0.0003179738,0.6382918,0.0009712586,0.0002536307,0.004235306,0.03469271,0.02458837,0.008278614,0.00683153,0.2812124,0.0001530713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088032,0.001835807,0.01239856,0.0005458172,0.0004505703,0.00009026651,0.001913331,0.0003786685,0.07358375],"genre_scores_gemma":[0.9894237,0.0004150322,0.004439137,0.00003650398,0.00005763457,0.00002114538,0.0003659661,0.00008264869,0.005158214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006950618,"threshold_uncertainty_score":0.02316469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1153754363","doi":"10.1016/j.culher.2015.07.011","title":"Diagnostics of wall paintings: A smart and reliable approach","year":2015,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Fourier transform infrared spectroscopy; Nondestructive testing; Materials science; Optics; Scanning electron microscope; Painting; Raman spectroscopy; Interferometry; Infrared; Art; Physics; Composite material; Art history","authors":[{"name":"Стефано Сфарра","is_ca":false},{"name":"Clemente Ibarra‐Castanedo","is_ca":true},{"name":"Mariagrazia Tortora","is_ca":false},{"name":"Lorenzo Arrizza","is_ca":false},{"name":"Giorgio Cerichelli","is_ca":false},{"name":"Iole Nardi","is_ca":false},{"name":"Xavier Maldague","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07231983615783416,"gpt":0.2542826960698866,"spread":0.1819628599120525,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00236032,0.001333651,0.001058124,0.007680427,0.0007309758,0.003075263,0.001668387,0.002521653,0.009342853],"category_scores_gemma":[0.006306273,0.0008419245,0.0008200551,0.001647462,0.0008991949,0.002498279,0.002577228,0.001361787,0.006510373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853125,"about_ca_system_score_gemma":0.0006973682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000923668,"about_ca_topic_score_gemma":0.002079405,"domain_scores_codex":[0.9972307,0.0006391914,0.0001762737,0.0004670091,0.001274402,0.0002124256],"domain_scores_gemma":[0.9945927,0.001649231,0.0005200885,0.001019039,0.001861075,0.0003577105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001216009,0.000381228,0.08547891,0.0009487204,0.0002581573,0.001023949,0.001046877,0.005136713,0.3095292,0.004875341,0.01051879,0.579586],"study_design_scores_gemma":[0.0002467918,0.001732022,0.2553861,0.0009344695,0.0007268875,0.00831509,0.006818881,0.2661735,0.3311481,0.03163927,0.0961921,0.000686769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1994252,0.004837941,0.7546176,0.0008848387,0.0005957489,0.0009015371,0.003297802,0.006644397,0.02879501],"genre_scores_gemma":[0.6008096,0.001817457,0.382406,0.0003859035,0.0003531308,0.0004732651,0.001588226,0.0007927263,0.01137373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009342853,"threshold_uncertainty_score":0.03125495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401459093","doi":"10.1016/j.culher.2024.07.008","title":"Bridging the past and present: AI-driven 3D restoration of degraded artefacts for museum digital display","year":2024,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ontario Ministry of Research, Innovation and Science","keywords":"Bridging (networking); Computer graphics (images); Computer science; Art; Visual arts; Engineering; Computer security","authors":[{"name":"Ruxandra Stoean","is_ca":false},{"name":"Nebojša Bačanin","is_ca":false},{"name":"Cătălin Stoean","is_ca":false},{"name":"Leonard Ionescu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02539663508044507,"gpt":0.25427537047447,"spread":0.2288787353940249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005672119,0.0004056939,0.0003276383,0.0005024083,0.0004642163,0.001744565,0.001033603,0.0007974667,0.003539579],"category_scores_gemma":[0.001407117,0.0002928762,0.0005081343,0.0003293018,0.0009062008,0.0007342033,0.001575841,0.0007618012,0.0007565251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003633898,"about_ca_system_score_gemma":0.0006030328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762992,"about_ca_topic_score_gemma":0.006629349,"domain_scores_codex":[0.9997205,0.00003303271,0.000008991015,0.00004288097,0.0001558597,0.00003869151],"domain_scores_gemma":[0.9995583,0.0001419786,0.0000357999,0.0001033171,0.0001160119,0.00004461679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005885307,0.0002386715,0.003915762,0.0005456612,0.0001140353,0.0007947597,0.002411387,0.1938334,0.3667093,0.008035521,0.01120596,0.411607],"study_design_scores_gemma":[0.00002291083,0.0001676542,0.00335168,0.00005157352,0.00005181716,0.0004121825,0.0006175798,0.9188655,0.05058885,0.00606106,0.01973305,0.00007617995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1710541,0.00101607,0.8032523,0.0009367394,0.0004067705,0.0001328722,0.0003817584,0.005859789,0.01695962],"genre_scores_gemma":[0.7145975,0.0003224691,0.2781813,0.0001801013,0.0000508455,0.00004595721,0.000309617,0.0005677421,0.005744397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003539579,"threshold_uncertainty_score":0.01184112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790044330","doi":"10.1016/j.culher.2018.03.007","title":"Characterization of membrane metal threads by proteomics and analysis of a 14th c. thread from an Italian textile","year":2018,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Generalitat de Catalunya","keywords":"Proteome; Biology; Ovotransferrin; Chemistry; Chromatography; Biochemistry; Egg white","authors":[{"name":"Aleksandra Popowich","is_ca":true},{"name":"Timothy P. Cleland","is_ca":false},{"name":"Caroline Solazzo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01733193253216182,"gpt":0.2872186146011837,"spread":0.2698866820690219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001538519,0.0005387505,0.0005507651,0.0006712769,0.0007348046,0.000916027,0.0002513173,0.0006542163,0.0006312955],"category_scores_gemma":[0.0002204928,0.0001869297,0.0007399516,0.0005021491,0.0003408741,0.0003433277,0.0004617242,0.0004218535,0.0003564583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409076,"about_ca_system_score_gemma":0.0002452058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967564,"about_ca_topic_score_gemma":0.00203033,"domain_scores_codex":[0.9998986,0.000005909651,0.000006699706,0.00003901873,0.00002200496,0.0000277396],"domain_scores_gemma":[0.9998558,0.00002552036,0.00003250969,0.00001588702,0.00003967423,0.00003055628],"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":[0.0001115775,0.00001558191,0.001984337,0.0000245696,0.000008406497,0.000280268,0.0001361742,0.00004585497,0.9956328,0.0000236,0.00001598446,0.001720754],"study_design_scores_gemma":[0.000025339,0.0008567764,0.4332534,0.00009887195,0.0003461996,0.005243414,0.001830255,0.003137359,0.5378612,0.0003141584,0.0169737,0.00005940716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978897,0.0003073909,0.001104213,0.00003651129,0.00001911779,0.000007888127,0.0001637612,0.0000155948,0.0004558585],"genre_scores_gemma":[0.992007,0.0004083057,0.003370068,0.00004351619,0.00002539642,0.00001694943,0.0008489325,0.00004671474,0.003232978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001967564,"threshold_uncertainty_score":0.00391221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2767619925","doi":"10.1016/j.culher.2017.10.001","title":"Subjective and objective quality assessment of degraded document images","year":2017,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Metric (unit); Segmentation; Artificial intelligence; Quality (philosophy); Image quality; Contrast (vision); Pattern recognition (psychology); Sensitivity (control systems); Image (mathematics)","authors":[{"name":"Atena Shahkolaei","is_ca":true},{"name":"Hossein Ziaei Nafchi","is_ca":true},{"name":"Somaya Al-Máadeed","is_ca":true},{"name":"Mohamed Cheriet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05468794357798049,"gpt":0.3998824347132061,"spread":0.3451944911352255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213235,0.0003460246,0.0003188107,0.001452149,0.0002398702,0.0008702704,0.0002598746,0.0006060405,0.003516133],"category_scores_gemma":[0.004676992,0.0001759907,0.0002857192,0.0006057636,0.0004022574,0.0008074513,0.0005355229,0.0003714814,0.000413777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220151,"about_ca_system_score_gemma":0.0001928421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340807,"about_ca_topic_score_gemma":0.001748169,"domain_scores_codex":[0.999051,0.0001844399,0.00007546037,0.0001161539,0.00050906,0.00006386801],"domain_scores_gemma":[0.9956107,0.001191806,0.0004072667,0.0002303801,0.002310161,0.0002498037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004336263,0.000379248,0.02854545,0.001348574,0.0002249504,0.0003914214,0.0007920325,0.006186105,0.7819803,0.0007518203,0.001148919,0.173915],"study_design_scores_gemma":[0.0002201896,0.004240272,0.3913747,0.0002637642,0.0007781602,0.004258421,0.002066607,0.08137786,0.5076798,0.001474435,0.005978148,0.0002876286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320652,0.001499779,0.06101656,0.00007968331,0.00006696219,0.0001092888,0.0005577067,0.0001658467,0.004438836],"genre_scores_gemma":[0.9769131,0.000704694,0.01875024,0.00005592919,0.00005224163,0.00003326525,0.0005378973,0.00007073336,0.002881952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003516133,"threshold_uncertainty_score":0.01176268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402483999","doi":"10.1016/j.culher.2024.08.014","title":"Machine learning in analytical chemistry for cultural heritage: A comprehensive review","year":2024,"lang":"en","type":"review","venue":"Journal of Cultural Heritage","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Narodowe Centrum Nauki","keywords":"Cultural heritage; Engineering; Engineering ethics; Management science; Archaeology; History","authors":[{"name":"Aleksandra Towarek","is_ca":false},{"name":"Ludwik Halicz","is_ca":false},{"name":"Stan Matwin","is_ca":true},{"name":"Barbara Wagner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1170935972842597,"gpt":0.3627437917913747,"spread":0.245650194507115,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001665599,0.001026961,0.001925744,0.002695227,0.0002885368,0.001428888,0.001178919,0.001482182,0.003232913],"category_scores_gemma":[0.002590075,0.0003976329,0.001043037,0.003234396,0.0005762005,0.002115734,0.00100133,0.00180531,0.001292313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936159,"about_ca_system_score_gemma":0.002083737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702341,"about_ca_topic_score_gemma":0.002953191,"domain_scores_codex":[0.9996274,0.00008008824,0.00004830733,0.00007801634,0.0001338774,0.00003245992],"domain_scores_gemma":[0.9983438,0.001086742,0.0001519047,0.00003679383,0.0003142316,0.00006656226],"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":[0.00005314422,0.00009248773,0.0002633399,0.03277531,0.0002577197,0.0000903712,0.00004957471,0.0007003209,0.001232673,0.003119665,0.02476888,0.9365966],"study_design_scores_gemma":[0.00004237974,0.0001883976,0.001351476,0.01289716,0.0008402484,0.0006648249,0.00008700469,0.000813284,0.001666751,0.004088252,0.9772878,0.00007247625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008073487,0.9988785,0.0003721854,0.0002054469,0.000122621,0.000004722835,0.00001932013,0.000008537924,0.0003078244],"genre_scores_gemma":[0.0005481002,0.9984999,0.0004169046,0.0001672545,0.0001535394,0.000005090646,0.00002788756,0.000001980294,0.0001793806],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003232913,"threshold_uncertainty_score":0.0108152,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144159519","doi":"10.1016/j.culher.2008.09.003","title":"Comparing cultural heritage values in South East Asia – Possibilities and difficulties in cross-country transfers of economic values","year":2009,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Alberta","keywords":"Purchasing power parity; Contingent valuation; Valuation (finance); Economics; Cultural heritage; Public economics; Income elasticity of demand; Willingness to pay; Geography; Demographic economics; Development economics; Econometrics; Macroeconomics; Exchange rate; Finance","authors":[{"name":"Trần Hữu Tuấn","is_ca":false},{"name":"Udomsak Seenprachawong","is_ca":false},{"name":"Ståle Navrud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06053667684996084,"gpt":0.253435393026503,"spread":0.1928987161765422,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002843112,0.0002197991,0.0002555906,0.002123104,0.0008826223,0.00222058,0.0007137239,0.0003393838,0.002882443],"category_scores_gemma":[0.01038614,0.000177324,0.0002222932,0.005003127,0.00157983,0.00350142,0.002637241,0.0006366146,0.0001323475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596714,"about_ca_system_score_gemma":0.0009331786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03557904,"about_ca_topic_score_gemma":0.04274397,"domain_scores_codex":[0.9988235,0.0007312563,0.00006230206,0.00008157142,0.000126841,0.000174656],"domain_scores_gemma":[0.9933373,0.003791179,0.00124402,0.0004531758,0.0008127799,0.0003615183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004712244,0.0001701249,0.9011283,0.0001455542,0.0003612696,0.0006858325,0.02696295,0.001830327,0.0006388527,0.01936121,0.0005659224,0.04767844],"study_design_scores_gemma":[0.00002198155,0.00008937048,0.9127269,0.0001703183,0.000155756,0.0001685028,0.07246656,0.002317608,0.000544595,0.009641373,0.001676155,0.00002090104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961628,0.0001171916,0.0001628411,0.0001211248,0.000001696462,0.000004442948,0.00005165663,8.248662e-7,0.003377542],"genre_scores_gemma":[0.9997063,0.00006735628,0.00008005409,0.000005839473,8.987214e-7,0.000002726311,0.00004003695,5.184765e-7,0.0000961418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03557904,"threshold_uncertainty_score":0.07074392,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3117827434","doi":"10.1016/j.culher.2020.12.004","title":"Predictive model of geographical origin discrimination of paper mulberry and handmade paper using ICP-AES/MS and multivariate statistical analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fanshawe College","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Statistics; Engineering; Mathematics","authors":[{"name":"In Hee Go","is_ca":false},{"name":"Ah Hyeon Jo","is_ca":false},{"name":"Sir Lin Jeong","is_ca":true},{"name":"Tae‐Young Heo","is_ca":false},{"name":"Kun Cho","is_ca":false},{"name":"Tea Ho Choi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06330982832827875,"gpt":0.2801605145232392,"spread":0.2168506861949605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327181,0.0008373807,0.0004480251,0.001564462,0.0004416845,0.001325336,0.0009772228,0.000497914,0.001799731],"category_scores_gemma":[0.002088889,0.0002990054,0.001275819,0.001139945,0.0003889517,0.0007108607,0.0005786672,0.0007820171,0.0008534482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005373993,"about_ca_system_score_gemma":0.001024134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228205,"about_ca_topic_score_gemma":0.006497103,"domain_scores_codex":[0.9996426,0.00005926245,0.00002040838,0.0001397959,0.00008313591,0.00005476575],"domain_scores_gemma":[0.9987972,0.0006048903,0.0001465156,0.00009140294,0.0003107192,0.00004915986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001183073,0.0008028416,0.646564,0.0002083912,0.0006899105,0.0008806767,0.0004718097,0.188989,0.03430529,0.002692202,0.002286483,0.1209264],"study_design_scores_gemma":[0.0000229841,0.0001084055,0.147084,0.00002057034,0.0001695068,0.0002075873,0.0002486227,0.8435923,0.006402862,0.001428434,0.0006675161,0.00004718136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575639,0.0002021396,0.03980391,0.0001053501,0.00004364984,0.00005196873,0.0007418228,0.0002536412,0.001233746],"genre_scores_gemma":[0.99492,0.00007828303,0.00358984,0.00001282625,0.00001162504,0.0000181961,0.0006037452,0.00002057512,0.0007449421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01228205,"threshold_uncertainty_score":0.0244211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":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)","authors":[{"name":"Zhiyang Zhang","is_ca":true},{"name":"Hai Zhang","is_ca":true},{"name":"Jue Hu","is_ca":true},{"name":"Стефано Сфарра","is_ca":false},{"name":"Miranda Mostacci","is_ca":false},{"name":"Yang Wang","is_ca":false},{"name":"Dazhi Yang","is_ca":false},{"name":"Xavier Maldague","is_ca":true},{"name":"Dongmei Niu","is_ca":true},{"name":"Yu-Xia Duan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03091280502940507,"gpt":0.2506221913758784,"spread":0.2197093863464733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005430598,0.0003948637,0.0003810125,0.00115614,0.0004773583,0.0005748423,0.00102064,0.0007303057,0.00337025],"category_scores_gemma":[0.00222117,0.0001513583,0.0003205955,0.0005319029,0.0002289166,0.0007571927,0.0007807416,0.0005104836,0.0005611077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892068,"about_ca_system_score_gemma":0.0004171678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431516,"about_ca_topic_score_gemma":0.02036752,"domain_scores_codex":[0.9997745,0.00003818166,0.00001116512,0.00007291723,0.00006629769,0.00003692701],"domain_scores_gemma":[0.9992133,0.0003135828,0.00006565103,0.0001226609,0.0002306055,0.00005413729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002040418,0.0006853211,0.04386913,0.0005446558,0.0002895386,0.001665036,0.0008879715,0.2677454,0.03686263,0.008192222,0.03311244,0.6041053],"study_design_scores_gemma":[0.00003303613,0.0001184174,0.00441374,0.00002215083,0.00002828229,0.0001195648,0.0001783469,0.9848444,0.004907267,0.002011402,0.003308033,0.00001529634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5500164,0.0005326452,0.4226883,0.0009379446,0.0004299378,0.000450676,0.004715465,0.01042159,0.009807079],"genre_scores_gemma":[0.7543625,0.0001667448,0.2324376,0.0001583785,0.00005710333,0.0001510171,0.004826694,0.0003447873,0.007495126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01431516,"threshold_uncertainty_score":0.02846366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2155680766","doi":"10.1016/s1296-2074(99)00116-8","title":"Copper-based implements of a newly identified culture in Yemen","year":2000,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Archaeology and Historical Studies","field":"Arts and Humanities","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Copper; Ancient history; Metallurgy; Engineering; History; Materials science","authors":[{"name":"Alessandra Giumlía-Mair","is_ca":false},{"name":"Edward J. Keall","is_ca":true},{"name":"Susan Stock","is_ca":true},{"name":"Aaron Shugar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03881368981982002,"gpt":0.2768124126912632,"spread":0.2379987228714432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660689,0.0004915948,0.0003181463,0.001220778,0.0068766,0.001804216,0.001027973,0.001033361,0.005828889],"category_scores_gemma":[0.0003976735,0.0004107371,0.0002133995,0.002823842,0.002768764,0.0009543393,0.001488969,0.0006389292,0.0003622688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078779,"about_ca_system_score_gemma":0.00160455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724067,"about_ca_topic_score_gemma":0.1035613,"domain_scores_codex":[0.9997745,0.00004477796,0.00001216399,0.00004122646,0.00002514438,0.0001021568],"domain_scores_gemma":[0.9998193,0.0000397699,0.00005002656,0.00002531678,0.00003557965,0.00002992352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005867155,0.0002157699,0.2846533,0.0006883502,0.0001130874,0.06445437,0.5363187,0.0004461692,0.02524719,0.01493319,0.003270699,0.06907253],"study_design_scores_gemma":[0.000009213254,0.0001935091,0.2831555,0.0002525684,0.00005750957,0.006659039,0.6802917,0.0002782582,0.002141054,0.0004875887,0.02644394,0.00003005696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950007,0.0001553476,0.0001192749,0.0001193156,0.000009647688,0.00000735783,0.00002951109,0.000002940294,0.004556035],"genre_scores_gemma":[0.9944639,0.0001629074,0.0003168874,0.00004216916,0.000006530188,0.000008428156,0.00004282874,0.000003608012,0.004952902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01724067,"threshold_uncertainty_score":0.03428066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402604180","doi":"10.1016/j.culher.2024.08.015","title":"Attention-enhanced U-Net for automatic crack detection in ancient murals using optical pulsed thermography","year":2024,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Materials science; Forensic engineering; Composite material; Optoelectronics; Computer graphics (images); Optics; Infrared; Engineering; Computer science; Physics","authors":[{"name":"Jingwen Cui","is_ca":false},{"name":"Tao Ning","is_ca":false},{"name":"Akam M. Omer","is_ca":false},{"name":"Cunlin Zhang","is_ca":false},{"name":"Qunxi Zhang","is_ca":false},{"name":"Yirong Ma","is_ca":false},{"name":"Zhiyang Zhang","is_ca":false},{"name":"Dazhi Yang","is_ca":false},{"name":"Hai Zhang","is_ca":false},{"name":"Qiang Fang","is_ca":true},{"name":"Xavier Maldague","is_ca":true},{"name":"Стефано Сфарра","is_ca":false},{"name":"Xiaoyu Chen","is_ca":false},{"name":"Jian-Qiao Meng","is_ca":false},{"name":"Yu-Xia Duan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01554267644790997,"gpt":0.2673411849497373,"spread":0.2517985085018273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001670228,0.0003614947,0.0003512433,0.0007033467,0.0002225733,0.0002883328,0.000410405,0.0004438524,0.002096953],"category_scores_gemma":[0.0003882408,0.0001435807,0.0002316325,0.0003413692,0.0001501529,0.0004875893,0.000504731,0.0003052785,0.0005176258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420851,"about_ca_system_score_gemma":0.0002212252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638369,"about_ca_topic_score_gemma":0.004316878,"domain_scores_codex":[0.9998958,0.00001214866,0.000004255637,0.00002786002,0.00003844412,0.00002135404],"domain_scores_gemma":[0.9998385,0.00005006102,0.00001714268,0.00001301544,0.00006729582,0.0000139565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001190545,0.0001345284,0.003792287,0.0002583426,0.00004586273,0.0002916003,0.0001058131,0.005121984,0.3808417,0.0005536563,0.002749944,0.6049137],"study_design_scores_gemma":[0.00004703266,0.0004947283,0.03027202,0.00005137632,0.0001783522,0.001065941,0.0002201634,0.694573,0.2662107,0.0009548625,0.005874509,0.00005733705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6382571,0.002481008,0.3479233,0.0002834022,0.000400115,0.0000939857,0.0004501238,0.002987042,0.007123885],"genre_scores_gemma":[0.8978677,0.000387183,0.09601253,0.0001361857,0.0000865172,0.00002856688,0.0002437163,0.00008589764,0.005151746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002096953,"threshold_uncertainty_score":0.00701499,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388043400","doi":"10.1016/j.culher.2023.10.007","title":"Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning","year":2023,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ontario Ministry of Research, Innovation and Science","keywords":"Asset (computer security); Corrosion; Artificial intelligence; Object (grammar); Computer science; Composition (language); Base metal; Engineering; Metallurgy; Materials science; Computer security; Art","authors":[{"name":"Ruxandra Stoean","is_ca":false},{"name":"Nebojša Bačanin","is_ca":false},{"name":"Cătălin Stoean","is_ca":false},{"name":"Leonard Ionescu","is_ca":false},{"name":"Miguel Atencia","is_ca":false},{"name":"Gonzalo Joya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07977103712031668,"gpt":0.3270678913792531,"spread":0.2472968542589364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007412445,0.0006961361,0.0006350033,0.001026442,0.0003385606,0.001080292,0.00154089,0.001375097,0.002364546],"category_scores_gemma":[0.001830604,0.0003546011,0.0005186111,0.0005974675,0.0005432474,0.0008749662,0.0009393382,0.001063334,0.0003367972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000912189,"about_ca_system_score_gemma":0.0009741241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467332,"about_ca_topic_score_gemma":0.01843355,"domain_scores_codex":[0.9998229,0.00003401323,0.000009050524,0.00005850855,0.00003755652,0.0000379411],"domain_scores_gemma":[0.9994946,0.0002504855,0.00006203268,0.00004243672,0.0001008839,0.00004946733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002645154,0.0002367901,0.006198859,0.0000695902,0.000084457,0.0001003937,0.0000369142,0.895701,0.004224901,0.00327205,0.001915779,0.08789473],"study_design_scores_gemma":[0.000002031924,0.000007254731,0.0001770634,0.000002213623,0.000002675385,0.000003455061,0.000003470351,0.9987667,0.0003220687,0.0006628649,0.00004911351,0.000001273764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3716199,0.0006867045,0.6191117,0.000847197,0.00009906101,0.0001129235,0.001356131,0.002126809,0.004039451],"genre_scores_gemma":[0.9505717,0.00009799662,0.04665171,0.00009516735,0.0000307948,0.00006367294,0.0008178306,0.00004942838,0.00162172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01467332,"threshold_uncertainty_score":0.02917582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402921587","doi":"10.1016/j.culher.2024.08.019","title":"Application of microscopic imaging, multispectral techniques, and SEM/EDS analysis to the study of 19th century colour engravings","year":2024,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Library of Parliament","funders":"","keywords":"Multispectral image; Late 19th century; Art; Materials science; Geology; Remote sensing; Aesthetics; Period (music)","authors":[{"name":"Eustathia Tsioufi","is_ca":false},{"name":"Vassiliki Kokla","is_ca":false},{"name":"A. Revithi","is_ca":true},{"name":"A. Karabotsos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01100947701952629,"gpt":0.2658017135800708,"spread":0.2547922365605444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003015421,0.000175264,0.0001046377,0.001903799,0.0006992898,0.0008073277,0.0002299559,0.0002236365,0.001777224],"category_scores_gemma":[0.0003422801,0.0001545442,0.0001733384,0.0007350711,0.0009803744,0.000334182,0.0004402935,0.0004396451,0.0001634568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00053416,"about_ca_system_score_gemma":0.0005246896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005080509,"about_ca_topic_score_gemma":0.01473539,"domain_scores_codex":[0.9998808,0.00001379265,0.000005726932,0.00002085864,0.00006450022,0.00001430081],"domain_scores_gemma":[0.9998611,0.00003851022,0.00001902981,0.00001768138,0.00005390883,0.000009776324],"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":[0.0001344497,0.00007832175,0.01529606,0.0003310491,0.00004076086,0.0009961828,0.001789707,0.002718399,0.7819906,0.01335052,0.0005644062,0.1827095],"study_design_scores_gemma":[0.00001638486,0.0002968878,0.2555127,0.000132448,0.0001334812,0.008147187,0.004445329,0.01342311,0.6279798,0.009180093,0.08066769,0.0000647925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913997,0.004525948,0.05683816,0.0006132231,0.000154366,0.00006741393,0.0001495158,0.0001253143,0.04612634],"genre_scores_gemma":[0.9410812,0.003606382,0.04136119,0.0000785383,0.00003538854,0.00001560343,0.00004826995,0.00003500068,0.01373834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005080509,"threshold_uncertainty_score":0.01010191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117486411","doi":"10.1016/j.culher.2025.10.017","title":"Thematic analysis and characterisation to support climate vulnerability assessments of cultural World Heritage","year":2025,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Heritage","funders":"","keywords":"Cultural heritage; Vulnerability (computing); Thematic map; Climate change; Variety (cybernetics); Thematic analysis; Vulnerability assessment","authors":[{"name":"T. Venkatachalam","is_ca":false},{"name":"J.C. Day","is_ca":false},{"name":"S. Jain","is_ca":false},{"name":"W. Megarry","is_ca":false},{"name":"C. Cameron","is_ca":true},{"name":"SF Heron","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05744387824538549,"gpt":0.3502018485080728,"spread":0.2927579702626873,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0185619,0.0008224209,0.0006253443,0.01125901,0.002721221,0.006155074,0.00220907,0.001075534,0.006972368],"category_scores_gemma":[0.02397728,0.0005512071,0.001620446,0.01060099,0.002662533,0.005645989,0.004745675,0.001725358,0.001339848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00463145,"about_ca_system_score_gemma":0.007011845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007637199,"about_ca_topic_score_gemma":0.01960763,"domain_scores_codex":[0.9919926,0.004574217,0.0007956555,0.0005762371,0.001752176,0.0003090945],"domain_scores_gemma":[0.9803996,0.0105479,0.002005426,0.002119833,0.004471028,0.0004561466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001471825,0.0002361546,0.01819997,0.003852398,0.0002173273,0.001497105,0.1288586,0.01651261,0.01228639,0.252777,0.04671475,0.5187005],"study_design_scores_gemma":[0.00005747223,0.0001538565,0.02941433,0.003545242,0.0001692858,0.00166253,0.1659361,0.06886388,0.005199381,0.2551495,0.4696065,0.0002419378],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03809807,0.0006817792,0.8873234,0.004297756,0.0002393468,0.005523759,0.005177374,0.001317129,0.05734146],"genre_scores_gemma":[0.1174829,0.0005350294,0.8694119,0.0002172932,0.00005839905,0.003506975,0.003808159,0.0003246199,0.004654734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0185619,"threshold_uncertainty_score":0.09816587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}