{"meta":{"query_hash":"daafbefb70c7","filters":{"venue":"Computational Visual Media"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/daafbefb70c7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Computational+Visual+Media"},"results":[{"id":"W2887105258","doi":"10.1007/s41095-018-0117-9","title":"Spatially adaptive long-term semi-Lagrangian method for accurate velocity advection","year":2018,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Advection; Term (time); Vector field; Trajectory; Vorticity; Pressure gradient; Lagrangian; Mechanics; Streamlines, streaklines, and pathlines; Computer science; Applied mathematics; Physics; Mathematics; Vortex","score_opus":0.042014541369944876,"score_gpt":0.3712539267584839,"score_spread":0.32923938538853903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887105258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008331471,0.000039003335,0.9891542,0.00023051439,0.001113124,0.0005081947,0.000018802415,0.000514911,0.000089773646],"genre_scores_gemma":[0.6032265,0.0000058834357,0.39526847,0.0005714064,0.0007085639,0.000070625756,0.000108465516,0.000021381496,0.000018717881],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979746,0.00016193402,0.00043334102,0.0006290533,0.00047390847,0.00032716067],"domain_scores_gemma":[0.997434,0.00078921794,0.00024899587,0.00024258696,0.0011105145,0.00017467057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005887391,0.0002483764,0.00025907825,0.00034367593,0.00034945022,0.00023286916,0.00063764164,0.00012613261,0.00002091387],"category_scores_gemma":[0.00013152638,0.00025312026,0.00014366154,0.00078942324,0.00011130423,0.0005337465,0.00024586704,0.00012945155,0.000026171123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011390528,0.00036841634,0.0011207827,0.00005920448,0.00013539071,0.000008928363,0.002911523,0.00091552065,0.0002685747,0.67786664,0.0023674958,0.31386364],"study_design_scores_gemma":[0.00050761906,0.00058157026,0.033345815,0.00004500799,0.0000140459615,0.000013650837,0.000006803807,0.91254044,0.0022332803,0.05008165,0.00032250123,0.0003076216],"about_ca_topic_score_codex":0.00001861887,"about_ca_topic_score_gemma":0.00004999405,"teacher_disagreement_score":0.9116249,"about_ca_system_score_codex":0.00007147371,"about_ca_system_score_gemma":0.0002027722,"threshold_uncertainty_score":0.99999213},"labels":[],"label_agreement":null},{"id":"W2905722916","doi":"10.1007/s41095-018-0127-7","title":"Deforming generalized cylinders without self-intersection by means of a parametric center curve","year":2018,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; Stony Brook University; McGill University","keywords":"Intersection (aeronautics); Center (category theory); Parametric equation; Geometry; Parametric statistics; Mathematics; Computer graphics (images); Computer science; Engineering; Statistics; Chemistry","score_opus":0.010481318288841149,"score_gpt":0.2816372800699554,"score_spread":0.2711559617811143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905722916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43719622,0.000050521685,0.5618829,0.000010504735,0.00014078994,0.000082074446,0.000010135203,0.00043425566,0.00019256082],"genre_scores_gemma":[0.9200031,0.000011842149,0.07968639,0.00004754366,0.000119018914,0.000013102903,0.00008924727,0.000025449168,0.0000042734455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990316,0.000031286174,0.0003130972,0.0001673679,0.00028268428,0.00017393465],"domain_scores_gemma":[0.99947846,0.000139916,0.00007810391,0.000070921444,0.00015506253,0.00007753342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008685274,0.00014115623,0.00022511084,0.00022887428,0.00003830152,0.000011018222,0.000098245815,0.000060646373,0.000041373958],"category_scores_gemma":[0.000058113943,0.0001351871,0.000079653364,0.0005515456,0.000078349556,0.00013914192,0.000024188475,0.00010307966,0.000020873349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005761248,0.002572485,0.10031614,0.00068563886,0.00337642,0.000018763794,0.013115743,0.61102,0.032782894,0.0034755452,0.02705014,0.20501006],"study_design_scores_gemma":[0.00047928194,0.0001216558,0.0014839005,0.00002557559,0.000032623862,0.0000054471525,0.000065328546,0.9856221,0.009145717,0.0021914253,0.00063290674,0.00019404263],"about_ca_topic_score_codex":0.000009858199,"about_ca_topic_score_gemma":0.0000068956892,"teacher_disagreement_score":0.48280692,"about_ca_system_score_codex":0.00012078766,"about_ca_system_score_gemma":0.000012001301,"threshold_uncertainty_score":0.551277},"labels":[],"label_agreement":null},{"id":"W2905904780","doi":"10.1007/s41095-018-0128-6","title":"DeepPrimitive: Image decomposition by layered primitive detection","year":2018,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Nvidia; National Science Foundation","keywords":"Computer science; Artificial intelligence; Deep learning; Pipeline (software); Image (mathematics); Decomposition; Function (biology); Computer graphics; Computer vision; Pattern recognition (psychology); Machine learning","score_opus":0.00833283412647936,"score_gpt":0.30121260892223206,"score_spread":0.2928797747957527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905904780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1307343,0.000059658003,0.8666314,0.000054235185,0.00013874493,0.00012998328,0.000028707997,0.000623709,0.0015992756],"genre_scores_gemma":[0.9495101,0.000006652186,0.0498435,0.00009758926,0.00024424345,0.00006289689,0.00019814826,0.000028059387,0.000008795164],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933577,0.000016684678,0.00016662275,0.0001665189,0.00015802072,0.00015639114],"domain_scores_gemma":[0.9995174,0.000104586165,0.000034564313,0.000061121646,0.00021641742,0.00006594361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006432448,0.00012000847,0.00009235554,0.00007219782,0.00014620517,0.000057486774,0.0000849506,0.000061691586,0.000049796283],"category_scores_gemma":[0.000027909327,0.000134967,0.000030142992,0.00019571248,0.00011434852,0.00019072236,0.000021672702,0.000107079395,0.00014366128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004447032,0.00023787325,0.000057205292,0.000078041216,0.00007295283,0.0000041377166,0.0011550793,0.0018918022,0.7313334,0.0017216769,0.017651249,0.24575211],"study_design_scores_gemma":[0.0003590915,0.00010328216,0.004948736,0.00003747674,0.00001856048,0.000017528206,0.000055228167,0.5485101,0.43414152,0.009717178,0.0017720973,0.00031925458],"about_ca_topic_score_codex":0.0000023880725,"about_ca_topic_score_gemma":0.0000021980952,"teacher_disagreement_score":0.81877583,"about_ca_system_score_codex":0.00007819785,"about_ca_system_score_gemma":0.00001618764,"threshold_uncertainty_score":0.5503795},"labels":[],"label_agreement":null},{"id":"W2918954580","doi":"10.1007/s41095-019-0129-0","title":"Automated pebble mosaic stylization of images","year":2019,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Pebble; Geometry; Computer graphics (images); Computer science; Field (mathematics); Computer graphics; Artificial intelligence; Computer vision; Mathematics; Geology","score_opus":0.013054527306098306,"score_gpt":0.3053282411495621,"score_spread":0.2922737138434638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918954580","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071120806,0.00007928867,0.92687947,0.00009859794,0.00041040438,0.0002149396,0.000010132347,0.00091975444,0.00026661967],"genre_scores_gemma":[0.9566957,0.000010462019,0.04292304,0.00015040829,0.000038879876,0.000008141062,0.00013425748,0.000012449481,0.000026695476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985713,0.00007467807,0.00037542387,0.00032118952,0.0004932579,0.00016415963],"domain_scores_gemma":[0.99878633,0.00029259463,0.00019643437,0.00022892759,0.00042196945,0.000073714895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022451708,0.00013721494,0.00020609776,0.00032095824,0.000049810373,0.00008761449,0.0004912739,0.00006267334,0.000042638894],"category_scores_gemma":[0.000046615787,0.00013894857,0.00006731643,0.0008519125,0.000044805634,0.00042224108,0.00020951958,0.000072219125,0.000051765997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008198323,0.00027615772,0.008642853,0.00009005141,0.00003682177,0.000003339637,0.0008625497,0.009299352,0.0010821552,0.9677346,0.0049534566,0.007010485],"study_design_scores_gemma":[0.0003050496,0.00012849866,0.02313377,0.00003986908,0.0000033579197,0.000004496819,0.000010968481,0.95193887,0.0033177577,0.02063442,0.00032498987,0.00015798192],"about_ca_topic_score_codex":0.000008350909,"about_ca_topic_score_gemma":5.58854e-7,"teacher_disagreement_score":0.94710016,"about_ca_system_score_codex":0.000022040182,"about_ca_system_score_gemma":0.00011183476,"threshold_uncertainty_score":0.5666158},"labels":[],"label_agreement":null},{"id":"W2938214914","doi":"10.1007/s41095-019-0130-7","title":"Discernible image mosaic with edge-aware adaptive tiles","year":2019,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer vision; Artificial intelligence; Computer science; Image (mathematics); Enhanced Data Rates for GSM Evolution; Feature detection (computer vision); Image texture; Image processing; Computer graphics","score_opus":0.014083055702578397,"score_gpt":0.28772691842794146,"score_spread":0.27364386272536306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938214914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01762499,0.000099130164,0.9803423,0.0001842425,0.00019093636,0.0002747452,0.000015656442,0.00036684136,0.00090111914],"genre_scores_gemma":[0.78312975,0.000008265513,0.21619307,0.00026472332,0.0001039173,0.000020085325,0.000063512874,0.00002037937,0.00019632565],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985273,0.000045048346,0.00019608962,0.00045290025,0.0005115377,0.00026711187],"domain_scores_gemma":[0.9988664,0.00038955046,0.00010797397,0.0002397101,0.00027353276,0.00012286376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103339415,0.0001929542,0.00020930337,0.00012329564,0.00008374151,0.00011750802,0.00049895415,0.00004899669,0.00007012636],"category_scores_gemma":[0.00003917318,0.00015464117,0.000051395265,0.0004578428,0.00009758691,0.0010071577,0.00020962293,0.0001742328,0.0004032711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007172993,0.001567176,0.011524756,0.00031232717,0.00034454928,0.00049308944,0.00644786,0.015445158,0.0062197912,0.28207284,0.023658993,0.6511962],"study_design_scores_gemma":[0.00286551,0.002902896,0.039461475,0.00043898128,0.00003409795,0.00014642591,0.0005081437,0.7694708,0.035714533,0.13910939,0.0075588175,0.0017889332],"about_ca_topic_score_codex":0.000004767643,"about_ca_topic_score_gemma":0.0000018196376,"teacher_disagreement_score":0.7655047,"about_ca_system_score_codex":0.000056913872,"about_ca_system_score_gemma":0.00014451108,"threshold_uncertainty_score":0.6306084},"labels":[],"label_agreement":null},{"id":"W2991178846","doi":"10.1007/s41095-023-0362-4","title":"Class-conditional domain adaptation for semantic segmentation","year":2024,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"York University","keywords":"Segmentation; Adaptation (eye); Class (philosophy); Computer science; Domain adaptation; Artificial intelligence; Domain (mathematical analysis); Natural language processing; Mathematics; Psychology","score_opus":0.03321349796197684,"score_gpt":0.3203442916150301,"score_spread":0.2871307936530533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991178846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009558556,0.00022924013,0.9859845,0.0017189842,0.0013559985,0.00034395876,0.000024861889,0.00041249665,0.0003713882],"genre_scores_gemma":[0.7565594,0.0000037725472,0.241427,0.00058887334,0.00036103418,0.00011138375,0.0008030239,0.000020236672,0.000125307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982386,0.000087022585,0.0003633438,0.00046928486,0.0005922463,0.00024945213],"domain_scores_gemma":[0.99808794,0.0013983377,0.00008523266,0.000100423844,0.00020506071,0.00012302815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043235443,0.0001708507,0.00014390204,0.00031267302,0.00021434766,0.00044644455,0.00024898894,0.00006931933,0.00005767162],"category_scores_gemma":[0.00012746186,0.00017699786,0.000111036155,0.0004898453,0.00006032568,0.0008516624,0.000050216193,0.00014151439,0.0003001333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019802008,0.00007388473,0.0000480816,0.00008844442,0.000060545786,0.000018426907,0.0046366686,0.09621116,0.00076866325,0.83034766,0.002273039,0.06545361],"study_design_scores_gemma":[0.0004510266,0.00007973271,0.0028949915,0.000040056035,0.000009515125,0.000020274816,0.00031775876,0.79880935,0.00007273355,0.19133075,0.0057963906,0.00017742754],"about_ca_topic_score_codex":0.0000022365514,"about_ca_topic_score_gemma":0.0000035405005,"teacher_disagreement_score":0.7470008,"about_ca_system_score_codex":0.000113005735,"about_ca_system_score_gemma":0.00025972494,"threshold_uncertainty_score":0.7217763},"labels":[],"label_agreement":null},{"id":"W3134283717","doi":"10.1007/s41095-021-0206-z","title":"Prime gradient noise","year":2021,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aperiodic graph; Parameterized complexity; Gradient noise; Mathematics; Noise (video); Value noise; Gaussian noise; Lattice (music); Algorithm; Topology (electrical circuits); Geometry; Computer science; Combinatorics; Noise measurement; Physics; Noise reduction; Artificial intelligence; Noise floor; Acoustics","score_opus":0.014153932975701836,"score_gpt":0.24920229738078686,"score_spread":0.23504836440508503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134283717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6545111,0.0007860889,0.34299994,0.0001004203,0.0004627156,0.000023527275,0.0000093601775,0.00023334996,0.0008734942],"genre_scores_gemma":[0.99494696,0.000014611115,0.00454728,0.00007534951,0.00017616691,0.0000036682118,0.0001635992,0.000014191567,0.000058159043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994407,0.000013130571,0.0001324022,0.000114329334,0.00018479722,0.000114621645],"domain_scores_gemma":[0.9996732,0.00009686339,0.00000997787,0.00005670278,0.0000860403,0.00007723232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042778058,0.000074945565,0.00010189028,0.00005176237,0.000033509565,0.00002307774,0.000045225395,0.000028397888,0.000110605084],"category_scores_gemma":[0.000041780204,0.00007958037,0.000056612203,0.00018203756,0.000013085916,0.00003540305,0.000016101001,0.000072810624,0.00017518747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.0610894e-7,0.000031906475,0.0002774654,0.000011907247,0.000045737866,0.00002219444,0.00025793095,0.9874098,0.00050532067,0.00032105378,0.0007131045,0.0104027],"study_design_scores_gemma":[0.00012886837,0.0000049432,0.0032883387,0.000013224744,0.000016530093,0.0000061355872,0.00003378456,0.99349177,0.00075755443,0.001868937,0.00028784623,0.000102079546],"about_ca_topic_score_codex":0.0000010107415,"about_ca_topic_score_gemma":0.0000021850747,"teacher_disagreement_score":0.34043586,"about_ca_system_score_codex":0.000027930488,"about_ca_system_score_gemma":0.000030937124,"threshold_uncertainty_score":0.32451934},"labels":[],"label_agreement":null},{"id":"W4393074218","doi":"10.1007/s41095-022-0311-7","title":"Active self-training for weakly supervised 3D scene semantic segmentation","year":2024,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Shenzhen Science and Technology Innovation Program; Department of Education of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Training (meteorology); Computer science; Segmentation; Artificial intelligence; Computer graphics; Computer vision; Natural language processing; Computer graphics (images); Pattern recognition (psychology); Geography","score_opus":0.030395787380912098,"score_gpt":0.29738530971702426,"score_spread":0.2669895223361122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393074218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28446296,0.00038456995,0.71346945,0.000098058146,0.0006074614,0.0001451544,0.000041000654,0.0006557142,0.00013562683],"genre_scores_gemma":[0.9606847,0.000015828155,0.038301814,0.000045297114,0.00039427757,0.00004657555,0.0004546448,0.000039919418,0.000016918624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918705,0.000015413956,0.00020178186,0.00019667142,0.00021762658,0.00018144227],"domain_scores_gemma":[0.9993519,0.00044535304,0.00001315255,0.00004275577,0.00007677041,0.00007007826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001140517,0.00013380683,0.00015162106,0.0001755569,0.00006934779,0.00008114349,0.00006127937,0.000050736227,0.000038113896],"category_scores_gemma":[0.00003203149,0.00013843914,0.00008923848,0.00023788863,0.000013268047,0.00014730383,0.000010243095,0.00009605107,0.00005998269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009328498,0.000027609225,0.000020686508,0.00024956168,0.00030543996,0.0000061161304,0.0062868767,0.8744728,0.0017889845,0.00026554771,0.0004457921,0.11612125],"study_design_scores_gemma":[0.0002187546,0.000025574149,0.0002473143,0.00007994285,0.00009148236,0.0000030150152,0.0004060263,0.9963963,0.00048075922,0.0018082359,0.00008656694,0.0001560391],"about_ca_topic_score_codex":0.0000019801037,"about_ca_topic_score_gemma":0.0000028243837,"teacher_disagreement_score":0.6762218,"about_ca_system_score_codex":0.00007974618,"about_ca_system_score_gemma":0.000057377605,"threshold_uncertainty_score":0.5645384},"labels":[],"label_agreement":null},{"id":"W4416177895","doi":"10.26599/cvm.2025.9450408","title":"GRIG: Data-Efficient Generative Residual Image Inpainting","year":2025,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Inpainting; Generative grammar; Residual; Pattern recognition (psychology); Image (mathematics); Computer graphics; Convolutional neural network; Feature (linguistics)","score_opus":0.029204268568780566,"score_gpt":0.3178622097112278,"score_spread":0.28865794114244725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416177895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005988532,0.00019697576,0.9887702,0.0021823451,0.0011697263,0.00017060392,0.000023813654,0.00012279753,0.0013750164],"genre_scores_gemma":[0.61441815,0.0000041083254,0.3837645,0.0009965757,0.0005186994,0.0000121443245,0.00017839688,0.0000090038,0.00009839528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793535,0.0002550125,0.00037017866,0.00068688055,0.00044215814,0.0003103992],"domain_scores_gemma":[0.9979684,0.0010365818,0.00011291788,0.00045885853,0.00032778268,0.00009546252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064187805,0.00019661683,0.00022740429,0.00019127231,0.00032353617,0.00032306713,0.0011211568,0.00005777971,0.00002998469],"category_scores_gemma":[0.00065463374,0.00018222482,0.000047685422,0.00066750956,0.00013098538,0.0004576921,0.0010682559,0.00017346398,0.00007558609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002989619,0.00044166748,0.00027742863,0.000033455584,0.00020603927,0.000057790054,0.0019545697,0.67183113,0.0024037396,0.13953522,0.061610542,0.121618524],"study_design_scores_gemma":[0.00032758914,0.000024216743,0.0042736623,0.000031584783,0.000012843211,0.0000024427839,0.00006962358,0.98640037,0.0012819289,0.006062368,0.0013277351,0.00018562571],"about_ca_topic_score_codex":0.000014549487,"about_ca_topic_score_gemma":0.000008717029,"teacher_disagreement_score":0.6084296,"about_ca_system_score_codex":0.000056032983,"about_ca_system_score_gemma":0.0002642129,"threshold_uncertainty_score":0.7430912},"labels":[],"label_agreement":null}]}