{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":19,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":19,"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":"7a68a66ba3a4","filters":{"venue":"Displays"}},"results":[{"id":"W2883949839","doi":"10.1016/j.displa.2018.07.005","title":"The effect of visual motion stimulus characteristics on vection and visually induced motion sickness","year":2018,"lang":"en","type":"article","venue":"Displays","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University; Toronto Metropolitan University; University of Toronto; Toronto Rehabilitation Institute","funders":"","keywords":"Motion sickness; Stimulus (psychology); Psychology; Audiology; Simulator sickness; Cognitive psychology; Medicine","authors":[{"name":"Behrang Keshavarz","is_ca":true},{"name":"Aaron Emile Philipp-Muller","is_ca":true},{"name":"Wanja Hemmerich","is_ca":false},{"name":"Bernhard E. Riecke","is_ca":true},{"name":"Jennifer L. Campos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01078468572849286,"gpt":0.2939854039994396,"spread":0.2832007182709467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004092785,0.000319256,0.0002287425,0.0003017632,0.00011846,0.0004169046,0.0001342857,0.0003497624,0.004428973],"category_scores_gemma":[0.00944751,0.000194346,0.0001896183,0.0001930883,0.0002379078,0.0004042429,0.0002400764,0.0002752618,0.0002369362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487548,"about_ca_system_score_gemma":0.0002014078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004316235,"about_ca_topic_score_gemma":0.0004838486,"domain_scores_codex":[0.9997037,0.0001343018,0.00002390099,0.00002763614,0.00006641531,0.00004398882],"domain_scores_gemma":[0.9898019,0.008651217,0.0004724934,0.0001925354,0.0004849478,0.00039695],"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":[0.02946837,0.0004008494,0.008726859,0.0004127973,0.00007908945,0.0001808662,0.0002005563,0.002227076,0.9349425,0.0003402398,0.0001715103,0.02284916],"study_design_scores_gemma":[0.001022902,0.0334348,0.5532221,0.0001771001,0.000627893,0.002423547,0.0004849709,0.01789062,0.3877938,0.0008651447,0.001933871,0.0001231167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962302,0.0004243034,0.002136874,0.00002409327,0.00002474023,0.0000258751,0.0001270926,0.00002691367,0.0009799832],"genre_scores_gemma":[0.9987436,0.0001456123,0.0005902671,0.00002375737,0.00001705365,0.00001464191,0.00007597618,0.00002755562,0.0003615479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004428973,"threshold_uncertainty_score":0.0148164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062196104","doi":"10.1016/j.displa.2005.02.002","title":"Compressed file length predicts search time and errors on visual displays","year":2005,"lang":"en","type":"article","venue":"Displays","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada; McGill University","funders":"","keywords":"Computer science; Bitmap; Lossless compression; File size; Chart; Visual search; Overlay; Measure (data warehouse); Computer graphics (images); Algorithm; Artificial intelligence; Data compression; Mathematics; Data mining; Statistics","authors":[{"name":"D. C. Donderi","is_ca":true},{"name":"Sharon McFadden","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01548353346235564,"gpt":0.2892587492155791,"spread":0.2737752157532235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523075,0.0005531379,0.0005854554,0.002487309,0.0003397866,0.001923456,0.0006970515,0.00121422,0.006127539],"category_scores_gemma":[0.1100878,0.0004214816,0.0005332979,0.00241869,0.0003075395,0.003516979,0.0007518675,0.0007674818,0.00163677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005833277,"about_ca_system_score_gemma":0.0006192228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005259684,"about_ca_topic_score_gemma":0.003936633,"domain_scores_codex":[0.9982211,0.0003585621,0.0002268743,0.0002307224,0.0008080406,0.0001546549],"domain_scores_gemma":[0.7737365,0.1901576,0.01317105,0.007070072,0.01319025,0.002674481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02138529,0.001292175,0.5902313,0.001128063,0.0008392205,0.001487426,0.001528582,0.0360454,0.06568828,0.001615207,0.01619549,0.2625636],"study_design_scores_gemma":[0.0004486761,0.003497742,0.6495073,0.0003591354,0.0007470312,0.004075155,0.001199727,0.2811764,0.04677049,0.007383999,0.004534151,0.0003001269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858447,0.0009599288,0.007986747,0.0002501329,0.00006789155,0.00006151292,0.002056146,0.001564214,0.001208588],"genre_scores_gemma":[0.9873521,0.0003122085,0.007340327,0.00008104064,0.00006547617,0.00003570581,0.002633151,0.0007133376,0.001466658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006127539,"threshold_uncertainty_score":0.02049863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3198139586","doi":"10.1016/j.displa.2021.102080","title":"A brief survey on RGB-D semantic segmentation using deep learning","year":2021,"lang":"en","type":"article","venue":"Displays","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Chinese Academy of Sciences; Special Project for Research and Development in Key areas of Guangdong Province; National Natural Science Foundation of China","keywords":"RGB color model; Artificial intelligence; Segmentation; Computer science; Image segmentation; Computer vision; Scale-space segmentation; Segmentation-based object categorization; Pattern recognition (psychology)","authors":[{"name":"Changshuo Wang","is_ca":true},{"name":"Chen Wang","is_ca":true},{"name":"Weijun Li","is_ca":false},{"name":"Haining Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03463717292674742,"gpt":0.3031554227184883,"spread":0.2685182497917409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004208239,0.001053588,0.001063387,0.001660392,0.000303703,0.001739485,0.001622009,0.001122633,0.00919379],"category_scores_gemma":[0.0009647672,0.0007958455,0.0009839245,0.003627425,0.0003654426,0.001943267,0.0009764327,0.0008717523,0.003503558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008298379,"about_ca_system_score_gemma":0.0008853496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007654725,"about_ca_topic_score_gemma":0.009325361,"domain_scores_codex":[0.9995945,0.00004250079,0.00003511591,0.0001291796,0.000159162,0.00003945793],"domain_scores_gemma":[0.9997426,0.00008392798,0.00002092053,0.00004555797,0.00009170303,0.0000152899],"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":[0.00007892346,0.00007057106,0.0006981207,0.001241952,0.00007339945,0.00005450335,0.00005041726,0.01709646,0.008981372,0.009875769,0.01035881,0.9514198],"study_design_scores_gemma":[0.00002577762,0.0002337196,0.004192937,0.001102597,0.000203229,0.0008372999,0.0001545433,0.6145118,0.04770166,0.03273105,0.2981496,0.0001557232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.007886499,0.07425615,0.8916264,0.0006682339,0.0004214848,0.0001418436,0.001184855,0.002932064,0.02088258],"genre_scores_gemma":[0.1356433,0.1719179,0.6406999,0.001527896,0.0008238662,0.000287649,0.007164515,0.001159856,0.04077517],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00919379,"threshold_uncertainty_score":0.03075624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3175748231","doi":"10.1016/j.displa.2021.102032","title":"Using visual and auditory cues to locate out-of-view objects in head-mounted augmented reality","year":2021,"lang":"en","type":"article","venue":"Displays","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Horizon 2020; Horizon 2020 Framework Programme; H2020 European Research Council; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Augmented reality; Computer science; Computer vision; Head (geology); Optical head-mounted display; Head-up display; Artificial intelligence; Sensory cue; Human–computer interaction; Computer graphics (images); Geology","authors":[{"name":"Nicola Binetti","is_ca":false},{"name":"Luyan Wu","is_ca":false},{"name":"Shiping Chen","is_ca":false},{"name":"Ernst Kruijff","is_ca":true},{"name":"Simon Julier","is_ca":false},{"name":"Duncan P. Brumby","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1444894560051518,"gpt":0.4291480358776953,"spread":0.2846585798725435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002459633,0.0004607108,0.0002616649,0.0002814319,0.0002355687,0.001200577,0.0005496127,0.0005653815,0.001347755],"category_scores_gemma":[0.001922587,0.0003903383,0.0003027464,0.000236152,0.0004383325,0.001110937,0.001256564,0.0004217884,0.0002421379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000145547,"about_ca_system_score_gemma":0.0001790345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127782,"about_ca_topic_score_gemma":0.001928417,"domain_scores_codex":[0.9998031,0.00004858618,0.000009800326,0.00003963296,0.00006889524,0.00003000041],"domain_scores_gemma":[0.9993767,0.0003200977,0.00009725656,0.00005567378,0.0001047642,0.00004559684],"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":[0.001262879,0.00006898474,0.00139162,0.0002828074,0.00005735005,0.0004814255,0.001133648,0.002985036,0.9197593,0.001947449,0.0005238323,0.07010568],"study_design_scores_gemma":[0.000278877,0.002209014,0.09760115,0.0003480352,0.0006718465,0.004263182,0.003029499,0.1636301,0.704201,0.01225983,0.01107961,0.0004278025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.746733,0.001891184,0.2437329,0.0002821682,0.0001813134,0.00005773695,0.0002228933,0.0007702071,0.006128671],"genre_scores_gemma":[0.9607008,0.0006410182,0.03699866,0.00007787443,0.00003157817,0.00002065702,0.00006763397,0.0000532113,0.001408499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001347755,"threshold_uncertainty_score":0.004508674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306404970","doi":"10.1016/j.displa.2022.102321","title":"Generative image inpainting with enhanced gated convolution and Transformers","year":2022,"lang":"en","type":"article","venue":"Displays","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inpainting; Artificial intelligence; Transformer; Computer science; Convolution (computer science); Generative grammar; Computer vision; Image (mathematics); Engineering; Electrical engineering; Voltage","authors":[{"name":"Min Wang","is_ca":false},{"name":"Wanglong Lu","is_ca":true},{"name":"Jiankai Lyu","is_ca":false},{"name":"Kaijie Shi","is_ca":false},{"name":"Hanli Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00523032925395518,"gpt":0.1942598677055941,"spread":0.1890295384516389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003099866,0.0005033116,0.0004038525,0.0002314462,0.0001465099,0.0006374138,0.0006209636,0.0005147718,0.002965704],"category_scores_gemma":[0.0009620113,0.0003150357,0.0004261806,0.00025931,0.0005922368,0.000560613,0.0009230888,0.0009581763,0.0004525956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869059,"about_ca_system_score_gemma":0.0002065835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008139993,"about_ca_topic_score_gemma":0.001196303,"domain_scores_codex":[0.9998593,0.00003666662,0.000004443269,0.00002926202,0.00005332562,0.0000170793],"domain_scores_gemma":[0.999772,0.0001095829,0.00002328132,0.00005444641,0.00002489341,0.00001587563],"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":[0.0002822842,0.00009101342,0.0004881138,0.0001454623,0.00006646661,0.0003263135,0.0001609387,0.6039407,0.1428065,0.06290074,0.002725355,0.1860662],"study_design_scores_gemma":[0.000006737905,0.00002073021,0.00009872296,0.000006226055,0.000008347191,0.0001000671,0.000005508204,0.9758305,0.01795239,0.00510122,0.0008634439,0.000006107443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01220705,0.0001171073,0.9850449,0.00008930782,0.0000225941,0.0000164768,0.00003015612,0.0003385683,0.00213384],"genre_scores_gemma":[0.6956657,0.0004379356,0.2938742,0.0001680147,0.00005998516,0.00003847073,0.0001077037,0.000227689,0.009420334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002965704,"threshold_uncertainty_score":0.009921312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220959191","doi":"10.1016/j.displa.2022.102188","title":"Quality assessment of multi-exposure image fusion by synthesizing local and global intermediate references","year":2022,"lang":"en","type":"article","venue":"Displays","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Image quality; Domain (mathematical analysis); Artificial intelligence; Computer science; Perception; Image fusion; Human visual system model; Image (mathematics); Quality (philosophy); Fuse (electrical); Consistency (knowledge bases); Quality Score; Property (philosophy); Perspective (graphical); Computer vision; Pattern recognition (psychology); Fusion; Scale (ratio); Mathematics; Psychology; Engineering; Geography","authors":[{"name":"Jiawu Xu","is_ca":false},{"name":"Wei Zhou","is_ca":true},{"name":"Hong Li","is_ca":false},{"name":"Fucui Li","is_ca":false},{"name":"Qiuping Jiang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520701213942007,"gpt":0.3088511164267696,"spread":0.2936441042873495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135562,0.0004163335,0.0003219039,0.00124607,0.0002852741,0.001117286,0.0003640982,0.0006503292,0.00327393],"category_scores_gemma":[0.003503715,0.0002348096,0.0005282583,0.0006932545,0.0003296297,0.0009009835,0.000755276,0.0004290646,0.0003535181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003611291,"about_ca_system_score_gemma":0.0002728613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166951,"about_ca_topic_score_gemma":0.001168129,"domain_scores_codex":[0.9993662,0.0001091604,0.0000328002,0.00006669662,0.0003771579,0.00004803102],"domain_scores_gemma":[0.9983682,0.0004287525,0.0001730606,0.0001776607,0.000800436,0.00005183418],"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":[0.003340878,0.0001938505,0.01139933,0.0005648311,0.0002801989,0.0003368222,0.0004933961,0.05620117,0.5909256,0.004776772,0.001777336,0.3297099],"study_design_scores_gemma":[0.00009725597,0.0007781513,0.04265778,0.00007823245,0.0004659338,0.001245386,0.0002199927,0.381755,0.5670869,0.001942632,0.003550682,0.0001220723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3793247,0.001367251,0.6111611,0.0002714356,0.0001183086,0.0001186293,0.0003881663,0.001205268,0.006045127],"genre_scores_gemma":[0.8740497,0.0004898045,0.122937,0.00006655457,0.00003149139,0.00002791856,0.0003455899,0.0002071737,0.001844821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00327393,"threshold_uncertainty_score":0.01095241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401549566","doi":"10.1016/j.displa.2024.102807","title":"Towards benchmarking VR sickness: A novel methodological framework for assessing contributing factors and mitigation strategies through rapid VR sickness induction and recovery","year":2024,"lang":"en","type":"article","venue":"Displays","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Rehabilitation Institute; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmarking; Motion sickness; Simulator sickness; Medicine; Business; Marketing; Psychiatry","authors":[{"name":"Rose Rouhani","is_ca":true},{"name":"Narmada Umatheva","is_ca":true},{"name":"Jannik Brockerhoff","is_ca":false},{"name":"Behrang Keshavarz","is_ca":true},{"name":"Ernst Kruijff","is_ca":false},{"name":"Jan Gugenheimer","is_ca":false},{"name":"Bernhard E. Riecke","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1157023895399078,"gpt":0.3872631558999711,"spread":0.2715607663600633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05672375,0.001705733,0.00139487,0.004509827,0.001310002,0.004425583,0.002660975,0.00146799,0.002629343],"category_scores_gemma":[0.101154,0.0005553222,0.002230262,0.002356528,0.002468098,0.002975422,0.005383337,0.00190755,0.0007006997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193937,"about_ca_system_score_gemma":0.005686913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002903347,"about_ca_topic_score_gemma":0.003352168,"domain_scores_codex":[0.9481426,0.0352044,0.005043842,0.003855152,0.007134909,0.0006191563],"domain_scores_gemma":[0.9513984,0.02129249,0.008345989,0.007494207,0.01047769,0.0009911821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002161573,0.001842325,0.06476549,0.01072474,0.001616537,0.000211142,0.008564387,0.0265701,0.05809859,0.0649561,0.009723213,0.7507658],"study_design_scores_gemma":[0.001895939,0.03195738,0.2828471,0.009404925,0.003556838,0.001383011,0.0160195,0.1976523,0.1080616,0.1785396,0.1666694,0.002012569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03777553,0.001464586,0.9428316,0.0009049675,0.0002740531,0.008850419,0.001576345,0.0008808342,0.005441681],"genre_scores_gemma":[0.1937163,0.0008644927,0.785135,0.0006515154,0.0001049379,0.01707163,0.001446675,0.000181636,0.0008278189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05672375,"threshold_uncertainty_score":0.2999874,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289443952","doi":"10.1016/j.displa.2022.102277","title":"Improving adversarial robustness of traffic sign image recognition networks","year":2022,"lang":"en","type":"article","venue":"Displays","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Softmax function; Convolutional neural network; Computer science; Robustness (evolution); Adversarial system; Artificial intelligence; Traffic sign recognition; Deep neural networks; MNIST database; Classifier (UML); Pattern recognition (psychology); Deep learning; Machine learning; Sign (mathematics); Traffic sign; Mathematics","authors":[{"name":"Atiye Sadat Hashemi","is_ca":false},{"name":"Saeed Mozaffari","is_ca":true},{"name":"Shahpour Alirezaee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01043817596945718,"gpt":0.2258677392718978,"spread":0.2154295633024406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001310601,0.0009722734,0.0008605435,0.0006575581,0.0003341855,0.0009016258,0.001208005,0.001283271,0.00267188],"category_scores_gemma":[0.006652047,0.0004223807,0.0005547768,0.000425367,0.0009969538,0.001720043,0.001896505,0.001802327,0.0007516748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007620219,"about_ca_system_score_gemma":0.0004070131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974458,"about_ca_topic_score_gemma":0.001311502,"domain_scores_codex":[0.9992138,0.0002348057,0.00002674115,0.0001603528,0.0002530035,0.00011138],"domain_scores_gemma":[0.9980401,0.0009748032,0.0002066114,0.0003848211,0.0003126781,0.00008088465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001973268,0.00005133321,0.0004671119,0.00003683515,0.000046775,0.00008148274,0.00003359301,0.8916008,0.02181644,0.01295923,0.001671953,0.07103707],"study_design_scores_gemma":[0.000001403031,0.00001478462,0.00008925558,0.000002399487,0.000003753323,0.00001325193,0.000002298763,0.9947188,0.00305243,0.001924694,0.0001735408,0.000003348785],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04995888,0.0002043679,0.9451637,0.000398808,0.00007850326,0.00002734628,0.00006884951,0.0009334206,0.003166087],"genre_scores_gemma":[0.9303655,0.0002167629,0.06390994,0.0002008114,0.00009028752,0.00002872736,0.0001623482,0.0001925539,0.004833056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00267188,"threshold_uncertainty_score":0.008938313,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883514708","doi":"10.1016/j.displa.2018.07.004","title":"Design and implementation of haptic virtual fixtures for preoperative surgical planning","year":2018,"lang":"en","type":"article","venue":"Displays","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Qatar University","keywords":"Haptic technology; Task (project management); Computer science; Motion planning; Path (computing); Surgical planning; Simulation; Human–computer interaction; Robot; Artificial intelligence; Engineering; Surgery; Systems engineering; Medicine","authors":[{"name":"Osama Halabi","is_ca":false},{"name":"Yasmin Halwani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02054246523501647,"gpt":0.2981487325661893,"spread":0.2776062673311728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025951,0.0004098639,0.0002314127,0.0003342407,0.0001888113,0.0007710948,0.001687227,0.0007642461,0.003703092],"category_scores_gemma":[0.001455521,0.0004549879,0.0002646541,0.0001434188,0.0002814415,0.0004558285,0.0006925279,0.0003687311,0.0004306936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000262806,"about_ca_system_score_gemma":0.0003251121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000444628,"about_ca_topic_score_gemma":0.0004133029,"domain_scores_codex":[0.9995747,0.00007633127,0.00002563367,0.00005034533,0.0002234232,0.00004960769],"domain_scores_gemma":[0.9994593,0.0001783985,0.00009174037,0.00009044736,0.0001414744,0.00003871056],"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":[0.0007974069,0.0002121758,0.001673335,0.0004364841,0.0001223249,0.0005840376,0.0004886285,0.1313533,0.6291734,0.02044138,0.002467265,0.2122503],"study_design_scores_gemma":[0.0002002297,0.001867864,0.004062526,0.00008552311,0.0001131577,0.001207685,0.0001401535,0.5970477,0.3647706,0.002323025,0.02805991,0.0001216641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06519026,0.000228478,0.930666,0.0000978247,0.00009190595,0.000084275,0.00005293618,0.0009928455,0.002595468],"genre_scores_gemma":[0.679371,0.0001753387,0.3160893,0.00006689594,0.00001981733,0.0001160413,0.0000623911,0.0001199875,0.003979264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003703092,"threshold_uncertainty_score":0.01238805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310072716","doi":"10.1016/j.displa.2022.102340","title":"Character-level arabic text generation from sign language video using encoder–decoder model","year":2022,"lang":"en","type":"article","venue":"Displays","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; RGB color model; Artificial intelligence; Encoder; Sign language; Decoding methods; Character (mathematics); Feature extraction; Encoding (memory); Feature (linguistics); Sign (mathematics); Speech recognition; Natural language processing; Pattern recognition (psychology); Computer vision; Algorithm","authors":[{"name":"Abdelbasset Boukdir","is_ca":false},{"name":"Mohamed Benaddy","is_ca":false},{"name":"Othmane El Meslouhi","is_ca":false},{"name":"Mustapha Kardouchi","is_ca":true},{"name":"Moulay A. Akhloufi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07411832322335266,"gpt":0.2764915578010916,"spread":0.202373234577739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184821,0.0007008407,0.0004705929,0.0003919902,0.0002354438,0.0005112182,0.0004738747,0.0005638975,0.005728859],"category_scores_gemma":[0.0008902632,0.000213755,0.0003662584,0.0003005619,0.0001517432,0.0004955584,0.0003565552,0.0006842751,0.003308283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714138,"about_ca_system_score_gemma":0.0005837465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337135,"about_ca_topic_score_gemma":0.003656894,"domain_scores_codex":[0.9998345,0.00002114758,0.00001169787,0.00005185296,0.00005835337,0.00002235191],"domain_scores_gemma":[0.9996773,0.0001019345,0.00002056139,0.00003757415,0.000139974,0.00002261477],"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":[0.0008261872,0.0001545668,0.0009042749,0.0002230656,0.00005265223,0.0004228382,0.00008364248,0.07067863,0.240062,0.003702517,0.006920096,0.6759695],"study_design_scores_gemma":[0.00002061923,0.0001050221,0.0005116294,0.00001259263,0.00002433508,0.0001744006,0.00001557903,0.8718272,0.1236802,0.0008545694,0.002755551,0.00001831802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03129866,0.0002411676,0.9557546,0.0001251181,0.0001480471,0.0001147264,0.0004189088,0.009050555,0.002848206],"genre_scores_gemma":[0.5231076,0.000408391,0.4579149,0.0001509752,0.00009983819,0.0002195315,0.001904085,0.0007634644,0.01543129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005728859,"threshold_uncertainty_score":0.01916498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004702229","doi":"10.1016/j.displa.2004.01.002","title":"A single marine overlay display is more efficient than separate chart and radar displays","year":2003,"lang":"en","type":"article","venue":"Displays","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada; McGill University","funders":"","keywords":"Chart; Overlay; Computer science; Radar; Radar chart; Display device; Computer graphics (images); Computer hardware; Telecommunications; Mathematics; Operating system","authors":[{"name":"D. C. Donderi","is_ca":true},{"name":"Sharon McFadden","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01798459766190796,"gpt":0.3192251863523309,"spread":0.3012405886904229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005317402,0.0005896164,0.0005777715,0.00106535,0.0005014244,0.0012975,0.0004561219,0.0006892466,0.02469804],"category_scores_gemma":[0.007773266,0.0002521064,0.0004042851,0.0008177863,0.0001810766,0.002699154,0.0007932323,0.0004334125,0.002635147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222982,"about_ca_system_score_gemma":0.000580574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002769929,"about_ca_topic_score_gemma":0.003609364,"domain_scores_codex":[0.9993024,0.0001508814,0.00004241946,0.00009412209,0.0003109448,0.00009931382],"domain_scores_gemma":[0.994278,0.00332893,0.000455908,0.0004755117,0.001147555,0.0003141426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006127098,0.001511891,0.02096985,0.0009859044,0.0002517079,0.0002423751,0.0006624647,0.006632397,0.3857721,0.002612217,0.008192854,0.5660391],"study_design_scores_gemma":[0.0006052847,0.009652468,0.5475716,0.0004133789,0.001453733,0.003112198,0.003250689,0.07343975,0.3171346,0.005361526,0.03771131,0.0002935296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122808,0.000986262,0.05905081,0.0003251722,0.0001872371,0.0001165256,0.0002171993,0.002146798,0.0246892],"genre_scores_gemma":[0.9683903,0.0003891754,0.02220554,0.0001108162,0.00005797817,0.0000398877,0.0002701454,0.0002654663,0.00827077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02469804,"threshold_uncertainty_score":0.08262318,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4304688412","doi":"10.1016/j.displa.2022.102308","title":"Preterm infant general movements assessment via representation learning","year":2022,"lang":"en","type":"article","venue":"Displays","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":9,"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":"Movement assessment; Movement (music); Computer science; Medicine; Pediatrics; Artificial intelligence; Psychology; Developmental psychology; Motor skill","authors":[{"name":"Xiaohui Gong","is_ca":false},{"name":"Xiao Li","is_ca":false},{"name":"Li Ma","is_ca":false},{"name":"Weilin Tong","is_ca":false},{"name":"Fangyu Shi","is_ca":false},{"name":"Menghan Hu","is_ca":false},{"name":"Xiao–Ping Zhang","is_ca":true},{"name":"Guangjun Yu","is_ca":false},{"name":"Cheng Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01477344182872817,"gpt":0.305551024846325,"spread":0.2907775830175968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007183189,0.0004275434,0.0002349176,0.0007075823,0.0001416933,0.000698937,0.0004126403,0.0004901726,0.005467776],"category_scores_gemma":[0.005710692,0.0001273959,0.0002771375,0.0003311293,0.0002115198,0.001028255,0.001022498,0.0004736739,0.0007242424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003072084,"about_ca_system_score_gemma":0.0004650823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116343,"about_ca_topic_score_gemma":0.001376278,"domain_scores_codex":[0.9995209,0.0001872665,0.00002816225,0.00008534568,0.0001278835,0.00005049601],"domain_scores_gemma":[0.9987765,0.0006157949,0.0001154154,0.0001252391,0.0002814344,0.00008558398],"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":[0.001375393,0.000535199,0.02453664,0.0003266576,0.00005777485,0.0002916963,0.0008463654,0.01182033,0.06736441,0.004854017,0.003553402,0.8844381],"study_design_scores_gemma":[0.0003147513,0.004922909,0.2120309,0.0005766218,0.0003640522,0.002965265,0.001987292,0.6218555,0.1162076,0.01881483,0.01968726,0.0002729333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5196168,0.000498798,0.4523298,0.0004286985,0.00009595325,0.0007428412,0.0008643962,0.002315922,0.02310657],"genre_scores_gemma":[0.8569313,0.0003582857,0.1368736,0.00007859834,0.0000314107,0.0004108447,0.0003775367,0.0001073096,0.004831219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005467776,"threshold_uncertainty_score":0.01829153,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3180807819","doi":"10.1016/j.displa.2021.102049","title":"Measuring circular vection speed in a virtual reality headset","year":2021,"lang":"en","type":"article","venue":"Displays","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Defence Research and Development Canada","funders":"Carleton University","keywords":"Virtual reality; Headset; Rotational speed; Simulation; Drum; Illusion; Computer science; Computer vision; Acoustics; Artificial intelligence; Engineering; Physics; Psychology; Mechanical engineering","authors":[{"name":"Ramy Kirollos","is_ca":true},{"name":"Chris M. Herdman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1365808206236288,"gpt":0.3354333331886842,"spread":0.1988525125650555,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003496149,0.0004035946,0.0002490596,0.0006304877,0.0002252958,0.0008081537,0.0004159077,0.0006338925,0.003722939],"category_scores_gemma":[0.002330041,0.0003114381,0.0002237462,0.0003799329,0.0003100596,0.0006318803,0.0008048702,0.0004008334,0.0005105712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096213,"about_ca_system_score_gemma":0.0003129608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009930477,"about_ca_topic_score_gemma":0.0009377465,"domain_scores_codex":[0.9995671,0.0001242564,0.0000275203,0.00008258646,0.000117998,0.00008053036],"domain_scores_gemma":[0.9984237,0.0007994368,0.0001241013,0.0001023991,0.0003399984,0.0002103118],"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":[0.002461861,0.0002112602,0.009906085,0.0001882576,0.00007024637,0.0001970416,0.0003709875,0.002061754,0.9571117,0.0005214398,0.0004777475,0.02642156],"study_design_scores_gemma":[0.0003577349,0.00783773,0.2447274,0.000125876,0.0003803296,0.003362788,0.000760062,0.0695848,0.668459,0.001132536,0.003017121,0.0002546977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956782,0.00009700803,0.04078995,0.00006200969,0.00004235042,0.0001071306,0.0004417341,0.0002951548,0.001382709],"genre_scores_gemma":[0.9804671,0.000153975,0.01767473,0.0001027286,0.00002986072,0.00005675433,0.0002561446,0.00005741232,0.001201248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003722939,"threshold_uncertainty_score":0.01245445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2925859951","doi":"10.1016/j.displa.2019.03.004","title":"Higher-order cognitive processes moderate body tilt effects in vection","year":2019,"lang":"en","type":"article","venue":"Displays","topic":"Multisensory perception and integration","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Canadian Space Agency; York University","keywords":"Supine position; Orientation (vector space); Geodesy; Observer (physics); Motion perception; Psychology; Motion sickness; Physics; Perception; Communication; Audiology; Computer vision; Physical medicine and rehabilitation; Geology; Computer science; Mathematics; Geometry; Medicine; Neuroscience","authors":[{"name":"Pearl S. Guterman","is_ca":true},{"name":"Robert S. Allison","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02137991206841246,"gpt":0.3315742852489839,"spread":0.3101943731805714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000256161,0.0004430007,0.0003398202,0.0002771911,0.0002097413,0.001686384,0.0001984915,0.0004145696,0.008861587],"category_scores_gemma":[0.004971611,0.0003088435,0.0001973733,0.0002044712,0.0003319973,0.0007970431,0.0008757568,0.0004997596,0.0004195327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058226,"about_ca_system_score_gemma":0.0002995138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212045,"about_ca_topic_score_gemma":0.001633738,"domain_scores_codex":[0.9997049,0.00004448678,0.00002458706,0.00005942971,0.00007879023,0.0000878439],"domain_scores_gemma":[0.9984524,0.0008866361,0.0003024052,0.000111474,0.0001049467,0.0001420629],"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":[0.004341248,0.0002491062,0.01199851,0.0002317607,0.0000592621,0.00007232912,0.0005913993,0.0006934407,0.9647357,0.001382159,0.0002892064,0.01535584],"study_design_scores_gemma":[0.0002989373,0.0007869478,0.9104945,0.00006126789,0.0001407315,0.0001730565,0.0003828292,0.008360666,0.07503881,0.003287204,0.0009203449,0.00005468155],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948757,0.0001357312,0.001608983,0.00005269051,0.00003770364,0.00002300454,0.0001437173,0.00003736288,0.003085107],"genre_scores_gemma":[0.9976686,0.00009927719,0.0006933283,0.00005069127,0.00002987957,0.00002577761,0.0001196919,0.00007264445,0.001240115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008861587,"threshold_uncertainty_score":0.02964503,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396566553","doi":"10.1016/j.displa.2024.102735","title":"Enhancing chest X-ray diagnosis with text-to-image generation: A data augmentation case study","year":2024,"lang":"en","type":"article","venue":"Displays","topic":"AI in cancer detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Computer science; Text generation; Image (mathematics); Artificial intelligence; Natural language processing; Medicine; Computer vision; Radiology","authors":[{"name":"Mourad Bahani","is_ca":false},{"name":"Aziza El Ouaazizi","is_ca":false},{"name":"Robert Avram","is_ca":true},{"name":"Khalil Maalmi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04809545205826209,"gpt":0.3229706963746805,"spread":0.2748752443164184,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008434553,0.000634108,0.0003740423,0.0005988959,0.0002954198,0.001124947,0.001003057,0.001963116,0.002545513],"category_scores_gemma":[0.004489714,0.0003527176,0.0005413043,0.000468667,0.0004896606,0.0005726131,0.000556303,0.0008974723,0.0009888841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003027765,"about_ca_system_score_gemma":0.0002725722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188578,"about_ca_topic_score_gemma":0.001514804,"domain_scores_codex":[0.9995033,0.0001803584,0.00005031351,0.00006644146,0.0001536613,0.00004592177],"domain_scores_gemma":[0.9965882,0.002444078,0.0001431817,0.0004004738,0.0002764981,0.0001475637],"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":[0.004158896,0.003830423,0.06588637,0.001686518,0.0003034717,0.1638,0.002385471,0.06677338,0.1675235,0.005221421,0.01407008,0.5043604],"study_design_scores_gemma":[0.0003472169,0.001915856,0.02127719,0.0002211548,0.0003186915,0.210943,0.0007570547,0.4745686,0.2637112,0.004750466,0.02100994,0.0001796096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7771328,0.001526789,0.2039936,0.003501773,0.0001683514,0.0005324359,0.001015617,0.002409992,0.009718639],"genre_scores_gemma":[0.888157,0.0005459721,0.1070375,0.0004129708,0.0001248914,0.00007362474,0.00037981,0.0002969254,0.002971177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002545513,"threshold_uncertainty_score":0.008515537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411371963","doi":"10.1016/j.displa.2025.103106","title":"Improved image display by identifying the RGB family color space","year":2025,"lang":"en","type":"article","venue":"Displays","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"RGB color model; Color space; Computer vision; Artificial intelligence; Computer science; RGB color space; Computer graphics (images); Color image; Space (punctuation); Image (mathematics); Image processing","authors":[{"name":"Elvis Togban","is_ca":true},{"name":"Djemel Ziou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006561655664118439,"gpt":0.2766455788870623,"spread":0.2700839232229438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007898908,0.0007140267,0.0005168114,0.0007471026,0.0002320955,0.001484341,0.001082018,0.0005122501,0.005480995],"category_scores_gemma":[0.00332481,0.0002865515,0.0004714554,0.0007500891,0.0003166448,0.002214615,0.001599821,0.001015577,0.003703599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987922,"about_ca_system_score_gemma":0.00025969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108138,"about_ca_topic_score_gemma":0.0008719744,"domain_scores_codex":[0.9993912,0.0001389143,0.00002370036,0.0001014063,0.0002742967,0.00007054094],"domain_scores_gemma":[0.9979368,0.0004580887,0.0001040269,0.0008762488,0.0005541786,0.00007068808],"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":[0.0008812,0.000269184,0.003592761,0.0003363636,0.0001014162,0.0003796657,0.0004456935,0.02333178,0.3519479,0.01966968,0.01520837,0.5838361],"study_design_scores_gemma":[0.00004359323,0.000309472,0.006148564,0.00007398766,0.00009781808,0.001997791,0.0001919945,0.5400844,0.4044022,0.007769663,0.03874435,0.0001362675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05265702,0.0004632518,0.9303482,0.0002077068,0.00009269904,0.00004796489,0.0002174753,0.0105988,0.005366893],"genre_scores_gemma":[0.4010206,0.0006177826,0.5866666,0.0002211049,0.00008624689,0.0000637191,0.0007034816,0.0009348009,0.009685602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005480995,"threshold_uncertainty_score":0.01833576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4398165772","doi":"10.1016/j.displa.2024.102748","title":"Tri-wavelength blending method for speckle reduction and color space enhancement in laser projection systems","year":2024,"lang":"en","type":"article","venue":"Displays","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Speckle pattern; Reduction (mathematics); Optics; Wavelength; Materials science; Laser; Projection (relational algebra); Space (punctuation); Computer science; Physics; Mathematics; Algorithm; Geometry","authors":[{"name":"Bin Zhang","is_ca":false},{"name":"Qianli Ma","is_ca":true},{"name":"Liam Flannigan","is_ca":true},{"name":"Chang‐Qing Xu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.015709460023355,"gpt":0.2928998326907133,"spread":0.2771903726673583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003004656,0.0004357957,0.0003210748,0.0007146724,0.0003626198,0.0006595253,0.0004866393,0.0003500304,0.003057001],"category_scores_gemma":[0.0003949286,0.0003482855,0.0003951856,0.001155021,0.0003874516,0.0007839268,0.0005678902,0.0008332478,0.000770744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029478,"about_ca_system_score_gemma":0.00040424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004030569,"about_ca_topic_score_gemma":0.001021586,"domain_scores_codex":[0.9996903,0.00004683604,0.00001632952,0.00005172543,0.0001687428,0.00002609713],"domain_scores_gemma":[0.9996775,0.00008253723,0.00005042095,0.0000584479,0.0001095008,0.00002161797],"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":[0.000191612,0.0001586996,0.0005915732,0.000184514,0.00003132494,0.00007533758,0.0001627048,0.004655802,0.7848999,0.009525372,0.0008517224,0.1986715],"study_design_scores_gemma":[0.00001606941,0.0001424357,0.001391277,0.00001750828,0.00003918996,0.0004037213,0.00004520129,0.1461176,0.843126,0.001302781,0.007354225,0.0000439225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0964944,0.001084447,0.8950537,0.000120323,0.00008757708,0.00006726696,0.00007206553,0.0008440744,0.006176108],"genre_scores_gemma":[0.2933449,0.001155241,0.6958695,0.00006392468,0.00004963806,0.00007998156,0.0001403598,0.0003201926,0.008976295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003057001,"threshold_uncertainty_score":0.01022667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403898191","doi":"10.1016/j.displa.2024.102868","title":"The role of image realism and expectation in illusory self-motion (vection) perception in younger and older adults","year":2024,"lang":"en","type":"article","venue":"Displays","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Psychology; Realism; Motion (physics); Cognitive psychology; Computer vision; Computer science; Art; Neuroscience; Visual arts","authors":[{"name":"Brandy Murovec","is_ca":true},{"name":"Julia Spaniol","is_ca":true},{"name":"Behrang Keshavarz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00821130961597291,"gpt":0.2703926170979239,"spread":0.262181307481951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004277097,0.0002175606,0.0001992576,0.0002741186,0.0001852273,0.0005197483,0.00007999359,0.0003526681,0.002111515],"category_scores_gemma":[0.002174656,0.0001320818,0.0002570748,0.00008729672,0.0001782591,0.0003403104,0.0002946176,0.0002987871,0.0002641746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138094,"about_ca_system_score_gemma":0.0001150657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680934,"about_ca_topic_score_gemma":0.002866143,"domain_scores_codex":[0.9998989,0.00001494318,0.00001390747,0.00001982604,0.00003221088,0.00002023131],"domain_scores_gemma":[0.9987973,0.0002727279,0.00045409,0.00003995213,0.0001768948,0.000258989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001939124,0.0006377902,0.9499392,0.0001222168,0.00007308943,0.000339346,0.006256472,0.00007895274,0.02244383,0.00009005136,0.0002092419,0.01787073],"study_design_scores_gemma":[0.00001208779,0.0008602082,0.9969284,0.000006657254,0.00002055715,0.000246545,0.0009865012,0.00009917223,0.0006244525,0.00004216608,0.0001667722,0.000006497844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995999,0.00007243704,0.00004305186,0.00001021659,0.000001773494,0.000005918228,0.00002403019,0.000001111203,0.0002415082],"genre_scores_gemma":[0.9995899,0.0000508892,0.00008698179,0.0000142943,0.000003806999,0.000004609,0.00003740812,5.190567e-7,0.0002116267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002111515,"threshold_uncertainty_score":0.007063746,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413186450","doi":"10.1016/j.displa.2025.103182","title":"Improving quality of life for institutionalized individuals with advanced dementia: A pilot study on efficacy of a semi-immersive virtual reality driving simulator for individuals with advanced dementia","year":2025,"lang":"en","type":"article","venue":"Displays","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; Riverview Hospital","funders":"Mitacs; University of Manitoba","keywords":"Virtual reality; Dementia; Quality of life (healthcare); Driving simulator; Simulation; Driving simulation; Psychology; Computer science; Human–computer interaction; Physical medicine and rehabilitation; Medicine; Psychotherapist","authors":[{"name":"Seyedsaber Mirmiran","is_ca":true},{"name":"Zahra Moussavi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05410807355738407,"gpt":0.4115015081257999,"spread":0.3573934345684159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712436,0.000503456,0.0005865918,0.0002680222,0.0005162243,0.0003385251,0.0003976657,0.0004042635,0.001073516],"category_scores_gemma":[0.002006983,0.0002074724,0.001024717,0.0001549042,0.0002476705,0.0003665792,0.0003963152,0.0005712531,0.0001806334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024481,"about_ca_system_score_gemma":0.0005377659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203069,"about_ca_topic_score_gemma":0.002280805,"domain_scores_codex":[0.9995535,0.0002086318,0.00005614445,0.00005092517,0.00005369586,0.00007704858],"domain_scores_gemma":[0.998943,0.0002795045,0.000123112,0.00007852556,0.0002101705,0.0003656006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.04074552,0.3796808,0.1806465,0.002462061,0.001448682,0.001631952,0.02066066,0.001513565,0.03521867,0.0001765503,0.00146901,0.3343459],"study_design_scores_gemma":[0.005355994,0.6460097,0.3352867,0.00008881624,0.0005564569,0.0004110948,0.004971169,0.001028147,0.004222654,0.00007365373,0.001924366,0.00007124372],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996157,0.00003901781,0.00005258388,0.00001050671,0.00000324439,0.0001505438,0.00002448521,0.00000287562,0.0001010866],"genre_scores_gemma":[0.9978018,0.0001603178,0.001107464,0.00004024994,0.000008741446,0.0004646018,0.0001126017,0.000001287399,0.0003029206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001712436,"threshold_uncertainty_score":0.009056389,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}