{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"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":"20dfb475cd3d","filters":{"topic":"Applied Advanced Technologies"}},"results":[{"id":"W4407695417","doi":"10.48175/ijarsct-23304","title":"AI-Driven Smart Cities: Improving Urban Infrastructure and Services","year":2025,"lang":"en","type":"article","venue":"International Journal of Advanced Research in Science Communication and Technology","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Urban infrastructure; Smart city; Business; Environmental planning; Critical infrastructure; Urban planning; Computer science; Regional science; Geography; Computer security; Internet of Things; Engineering; Civil engineering","authors":[{"name":"Rajat Kumar Singh","is_ca":false},{"name":"Prof. Mirza Shahab Shah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01090386617750784,"gpt":0.3468771852852855,"spread":0.3359733191077777,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00221972,0.0006069792,0.0002614479,0.001392102,0.001949536,0.006975558,0.001385528,0.002434173,0.008098762],"category_scores_gemma":[0.004822467,0.0002802481,0.0004789173,0.00247361,0.004353688,0.0103933,0.007008828,0.002204473,0.002055279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003753306,"about_ca_system_score_gemma":0.00697112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00840687,"about_ca_topic_score_gemma":0.01242288,"domain_scores_codex":[0.9980166,0.000879768,0.00007860926,0.0001854476,0.0005695658,0.0002700456],"domain_scores_gemma":[0.9977092,0.0006584019,0.0002597429,0.0004232092,0.0005801031,0.0003694477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003784033,0.00008817451,0.003297069,0.0006344068,0.00004961164,0.0001978487,0.002458705,0.01637126,0.001823969,0.7732359,0.04077132,0.1610339],"study_design_scores_gemma":[0.00001731676,0.00007445199,0.001932699,0.0004657517,0.00003151465,0.0001646384,0.004322506,0.02735526,0.002648933,0.3913111,0.571624,0.00005175507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05582175,0.01378656,0.2980843,0.1463991,0.001863554,0.0003547366,0.0009132386,0.002549373,0.4802273],"genre_scores_gemma":[0.8396807,0.01757529,0.1012367,0.007324858,0.000647846,0.0002886018,0.001024394,0.000360838,0.03186077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00840687,"threshold_uncertainty_score":0.02723223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283328335","doi":"10.1155/2022/4105169","title":"Effects of Obstructive Sleep Apnea-Hypopnea Syndrome and Cognitive Function in Ischemic Stroke Based on Linear Regression Equation","year":2022,"lang":"en","type":"article","venue":"Scanning","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":3,"is_retracted":true,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Obstructive sleep apnea; Ischemic stroke; Cognition; Linear regression; Cardiology; Medicine; Hypopnea; Stroke (engine); Sleep apnea; Internal medicine; Audiology; Polysomnography; Apnea; Mathematics; Psychiatry; Statistics; Ischemia; Physics; Thermodynamics","authors":[{"name":"Peng Ji","is_ca":false},{"name":"Qixing Kou","is_ca":false},{"name":"Xueping Qu","is_ca":false},{"name":"Gen Sun","is_ca":false},{"name":"Songcan Liu","is_ca":false},{"name":"Jiewen Zhang","is_ca":false}],"retraction":{"nature":"Retraction","openalex_flagged":true},"screen_n_in":null,"score":{"opus":0.007411604424420236,"gpt":0.2119434454483014,"spread":0.2045318410238812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007970855,0.001352336,0.001035067,0.001427489,0.0003576154,0.001259583,0.001217314,0.0008509374,0.006372964],"category_scores_gemma":[0.02738488,0.0004864165,0.003554674,0.001265122,0.0003742647,0.001126516,0.0009131078,0.002073511,0.001266276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005912833,"about_ca_system_score_gemma":0.002345467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.017401,"about_ca_topic_score_gemma":0.007550464,"domain_scores_codex":[0.9948149,0.003138297,0.0003133467,0.0006742227,0.0007054142,0.0003538539],"domain_scores_gemma":[0.9794016,0.01677787,0.001323419,0.0007165594,0.00137404,0.000406529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006216661,0.0003673449,0.9654682,0.0001170917,0.001732047,0.0004106355,0.0002607502,0.005945224,0.0004039595,0.000825383,0.001651882,0.02219577],"study_design_scores_gemma":[0.0002048955,0.001398787,0.6531055,0.0003113994,0.003582221,0.001274776,0.0006849791,0.3324585,0.000876596,0.002145484,0.003856596,0.0001002252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396239,0.004323388,0.04414818,0.002179414,0.0005326952,0.0002584319,0.002055999,0.0008315278,0.006046399],"genre_scores_gemma":[0.985585,0.0009285121,0.008346414,0.0001370457,0.0001153407,0.0002218122,0.001061438,0.00008742672,0.003516954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.017401,"threshold_uncertainty_score":0.04215443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220666336","doi":"10.12200/j.issn.1003-0034.2022.03.018","title":"[Clinical effects of arthroscopy-assisted anterior cruciate ligament tibial eminence avulsion fracture compared with traditional open surgery:a Meta-analysis].","year":2022,"lang":"en","type":"review","venue":"PubMed","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Medicine; Surgery; Anterior cruciate ligament; Randomized controlled trial; Arthroscopy; Cochrane Library; Avulsion fracture; Meta-analysis; Avulsion; Internal medicine","authors":[{"name":"Wenjie Niu","is_ca":false},{"name":"Lingan Huang","is_ca":false},{"name":"Xin Zhou","is_ca":false},{"name":"Yanfei Yang","is_ca":false},{"name":"Haoran Liang","is_ca":false},{"name":"Wenjie Song","is_ca":false},{"name":"Yang Liu","is_ca":false},{"name":"Wangping Duan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2074134469363349,"gpt":0.3395150113556936,"spread":0.1321015644193586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008703363,0.001967215,0.01275525,0.003416065,0.0006586441,0.002363918,0.001682163,0.002789323,0.004064988],"category_scores_gemma":[0.01801356,0.001253706,0.03499909,0.003393173,0.0005892189,0.001274864,0.0009556485,0.001932746,0.0003355802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333091,"about_ca_system_score_gemma":0.001694018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004812615,"about_ca_topic_score_gemma":0.008530523,"domain_scores_codex":[0.9941182,0.002833606,0.001350833,0.0008970737,0.0005707559,0.0002295249],"domain_scores_gemma":[0.9905936,0.005970125,0.002135581,0.0003775113,0.000619641,0.0003035601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.02382445,0.00009581749,0.006849204,0.103668,0.8576421,0.000142304,0.00007808858,0.0002717959,0.0003873378,0.00008367645,0.0004496703,0.006507578],"study_design_scores_gemma":[0.007507704,0.001329705,0.006754514,0.004084475,0.9791067,0.0000951412,0.00005238146,0.0001943316,0.0001127616,0.00008951798,0.000647819,0.00002503148],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06243429,0.9321523,0.001268991,0.0004494811,0.000998769,0.0009712285,0.001055603,0.00008279354,0.0005866087],"genre_scores_gemma":[0.7483432,0.2412953,0.003255284,0.001503311,0.0008965467,0.002520587,0.00108625,0.0000602099,0.00103941],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01275525,"threshold_uncertainty_score":0.04602838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7066054922","doi":"","title":"2024 04 06 FAWP SHOW.mp 3 20240409 T 200840 Z 001","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Financial plan; Advice (programming); Portfolio; Health care; Investment (military); Miller; Hearing aid; Musical; Financial services","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.004567266006360995,"gpt":0.1756783290815782,"spread":0.1711110630752172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002777138,0.0006690405,0.0003660116,0.0006884079,0.002023354,0.003484598,0.00078248,0.002028459,0.9679405],"category_scores_gemma":[0.0009191639,0.0003979385,0.0005461122,0.0005856189,0.0002843121,0.001616387,0.002259355,0.001306705,0.9352572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008500115,"about_ca_system_score_gemma":0.0007298548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008049939,"about_ca_topic_score_gemma":0.01424053,"domain_scores_codex":[0.9998004,0.00002021395,0.000005864674,0.00004264853,0.00006867745,0.00006230058],"domain_scores_gemma":[0.9995508,0.00004820924,0.00001371942,0.00004775723,0.0001608457,0.0001786968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000324755,0.00003734728,0.0001144264,0.00004273329,0.00000137798,0.0000398296,0.00003118662,0.00002184573,0.000219147,0.0007447401,0.9449978,0.05371699],"study_design_scores_gemma":[0.000007950321,0.00001449012,0.0004182764,0.00004639573,0.000001067793,0.00003456731,0.00008228786,0.00003659653,0.00008105609,0.0001283686,0.9991449,0.000004058075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002818478,0.00005656298,0.0002101519,0.0003390794,0.0003019912,0.00005546546,0.001200232,0.001171743,0.996383],"genre_scores_gemma":[0.0005416978,0.00003796793,0.0001143865,0.0001707237,0.00001999668,0.0000260045,0.0005133201,0.0002296357,0.9983462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03205949,"threshold_uncertainty_score":0.04572898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6927406741","doi":"10.3389/fneur.2024.1364125.s001","title":"Image_1_Serial ASPECTS to predict stroke-associated pneumonia after thrombolysis in patients with acute ischemic stroke.JPEG","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Receiver operating characteristic; Thrombolysis; Logistic regression; Stroke (engine); Area under the curve; Swallowing; Cohort; Pneumonia","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.003980608281895047,"gpt":0.1911930463429077,"spread":0.1872124380610126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004345526,0.0003087652,0.0003109708,0.001942198,0.0001239218,0.0006299654,0.0003614115,0.0004737773,0.04652603],"category_scores_gemma":[0.002725711,0.0001452124,0.0003121444,0.0006736375,0.0001283048,0.000463203,0.000327495,0.0002749195,0.006661771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787373,"about_ca_system_score_gemma":0.0003606078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881077,"about_ca_topic_score_gemma":0.004141765,"domain_scores_codex":[0.9998852,0.00002670532,0.00001567835,0.00001820679,0.00003794679,0.00001621488],"domain_scores_gemma":[0.9992443,0.0002729996,0.0001535474,0.00003221374,0.0001963784,0.0001005043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002277076,0.0004000913,0.6452272,0.001047822,0.000147078,0.0005177265,0.00006305443,0.0007395594,0.002107023,0.000386803,0.1528909,0.1941957],"study_design_scores_gemma":[0.0007820168,0.0007869238,0.9423552,0.0003540408,0.0001645656,0.002268078,0.00008430507,0.01179259,0.001671008,0.0005673316,0.03912746,0.00004657732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.677442,0.008853812,0.008255107,0.006428661,0.001227874,0.003275968,0.1841207,0.005264142,0.1051318],"genre_scores_gemma":[0.8889939,0.003101983,0.01682679,0.001461069,0.001549758,0.0008900113,0.06213956,0.00034645,0.02469037],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04652603,"threshold_uncertainty_score":0.1556451,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411070712","doi":"10.1038/s41598-025-04381-x","title":"Multi sensor based monitoring of paralyzed using Emperor Penguin Optimizer and Deep Maxout Network","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Emperor; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Biology; Ecology","authors":[{"name":"Vijaya Gunturu","is_ca":false},{"name":"J. Kavitha","is_ca":false},{"name":"Swapna Thouti","is_ca":false},{"name":"N. K. Senthil Kumar","is_ca":false},{"name":"Kamal Poon","is_ca":false},{"name":"Ayman Alharbi","is_ca":false},{"name":"Amar Y. Jaffar","is_ca":false},{"name":"V. Saravanan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01720592323541581,"gpt":0.2584726854208391,"spread":0.2412667621854233,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001875807,0.0007745831,0.0005281959,0.0004621728,0.0001961402,0.0002930567,0.0006101761,0.0003043605,0.001488881],"category_scores_gemma":[0.000370442,0.0002089821,0.0002445572,0.0002405906,0.0001373214,0.0002738136,0.0003584021,0.000229319,0.0003088306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004585637,"about_ca_system_score_gemma":0.0003143582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315935,"about_ca_topic_score_gemma":0.02167626,"domain_scores_codex":[0.999859,0.00001562925,0.000006080709,0.00005515177,0.00003862387,0.00002551799],"domain_scores_gemma":[0.9999076,0.00001709335,0.00001335162,0.000007789467,0.00004039055,0.00001368602],"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":[0.001594958,0.0004398185,0.03475706,0.0003256195,0.0002751393,0.001044333,0.0001977191,0.3195577,0.08873983,0.0008311031,0.008194217,0.5440425],"study_design_scores_gemma":[0.00001877199,0.0002304497,0.01375981,0.00001046684,0.00003910647,0.000122975,0.00002693573,0.9741658,0.01018832,0.0002607746,0.001154422,0.00002214974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5300876,0.001248551,0.4505851,0.000263487,0.0002413036,0.0001686122,0.001185006,0.007153934,0.009066295],"genre_scores_gemma":[0.9624155,0.0001481885,0.03272779,0.00007496656,0.00001684496,0.00006318624,0.0005031222,0.00005440318,0.00399597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01315935,"threshold_uncertainty_score":0.02616549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6927230316","doi":"10.25921/rnn8-jh57","title":"GHRSST NOAA/STAR Metop-A AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)","year":2021,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Advanced very-high-resolution radiometer; Pixel; Satellite; Sea surface temperature; Mode (computer interface); Image resolution; Radiometry; Radiometer","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.007690767269076512,"gpt":0.2267079715993303,"spread":0.2190172043302537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006418762,0.001503114,0.001009631,0.001583241,0.0005798347,0.001138838,0.002237334,0.001243014,0.03578125],"category_scores_gemma":[0.001589366,0.0005452842,0.001107055,0.003570751,0.0002865222,0.0008982603,0.0008299296,0.001229668,0.04611541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009056682,"about_ca_system_score_gemma":0.00189351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0782757,"about_ca_topic_score_gemma":0.08944686,"domain_scores_codex":[0.9993861,0.00006559197,0.00006343239,0.0001753114,0.0002004702,0.0001090875],"domain_scores_gemma":[0.9989202,0.00007719888,0.00007919037,0.0002932665,0.0005397372,0.00009033445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009494072,0.0000347981,0.001962445,0.0002404009,0.00004265509,0.00004222848,0.00003123744,0.002220867,0.0008122651,0.0004138332,0.9897974,0.00430687],"study_design_scores_gemma":[0.0004347791,0.00004609406,0.02157447,0.0001652599,0.00004994401,0.00006785431,0.0002049949,0.008091559,0.00260946,0.001439305,0.9652315,0.00008462317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007625236,0.00001762232,0.0002359834,0.00003496438,0.0000354788,0.00001841843,0.9972784,0.0006726709,0.0009440451],"genre_scores_gemma":[0.001056827,0.00001204429,0.0006374799,0.00002279157,0.000006181125,0.00004651295,0.997645,0.000114975,0.0004581963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0782757,"threshold_uncertainty_score":0.1556402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6980540811","doi":"","title":"China Recycling Energy Corporation Reports Third Quarter and Nine Months of 2019 Unaudited Financial Results","year":2019,"lang":"en","type":"other","venue":"","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Corporation; China; Energy (signal processing); Work (physics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.003660922807648306,"gpt":0.1841150353412277,"spread":0.1804541125335794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003513862,0.001207298,0.0006979909,0.003417984,0.002317264,0.005859367,0.001252742,0.004012113,0.0874751],"category_scores_gemma":[0.006813124,0.0004177383,0.0008823327,0.0018023,0.0008285634,0.001583889,0.001289917,0.002668642,0.07048677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003912411,"about_ca_system_score_gemma":0.01084119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02931812,"about_ca_topic_score_gemma":0.04217502,"domain_scores_codex":[0.996466,0.0001198817,0.0001470015,0.0001459799,0.002554263,0.0005667037],"domain_scores_gemma":[0.9938267,0.0003628178,0.0003611067,0.0003751785,0.004517335,0.0005568078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003175673,0.0001145289,0.002034421,0.0001324964,0.00001923084,0.0002992384,0.00003847392,0.000122624,0.001299863,0.005283525,0.9594703,0.03086779],"study_design_scores_gemma":[0.00006958349,0.0001338256,0.01078982,0.0000944172,0.00002904544,0.0001114631,0.000123162,0.0007218577,0.0037475,0.001328381,0.9828029,0.00004816438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02812887,0.005437841,0.001815105,0.02941,0.02745774,0.001137404,0.07006003,0.003106285,0.8334466],"genre_scores_gemma":[0.02191434,0.0009256779,0.0004264466,0.002778026,0.0008097927,0.0001381581,0.01454217,0.0001802472,0.9582851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0874751,"threshold_uncertainty_score":0.2926334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6924915762","doi":"10.15468/dl.xc8cxf","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Nova scotia; Range (aeronautics); Data set","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.009607936205672499,"gpt":0.1936646100568504,"spread":0.1840566738511779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009047722,0.00190453,0.001493095,0.005112272,0.001203863,0.002722773,0.00304848,0.002102791,0.1284489],"category_scores_gemma":[0.005978732,0.0009086555,0.001211439,0.0107308,0.0004490303,0.002364354,0.002406724,0.0020727,0.1834933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326954,"about_ca_system_score_gemma":0.003226372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0471778,"about_ca_topic_score_gemma":0.08156822,"domain_scores_codex":[0.9989728,0.0001315904,0.0001314989,0.0003511762,0.0002390398,0.0001739538],"domain_scores_gemma":[0.9975848,0.0005941172,0.000182944,0.0006263182,0.0007478725,0.0002639446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002671524,0.00001091597,0.0003544442,0.0004414835,0.00001277131,0.00001495548,0.00002111051,0.0001126771,0.00009397874,0.0003795504,0.9970956,0.00143574],"study_design_scores_gemma":[0.0000587599,0.000005897342,0.001528407,0.0001787768,0.00001174305,0.00003300192,0.00007111311,0.0001565924,0.0001614616,0.0006279545,0.997151,0.0000154671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004266675,0.00003139862,0.00004531547,0.0000426084,0.00001168883,0.000006183322,0.9986966,0.0003832983,0.0007401668],"genre_scores_gemma":[0.0001455957,0.00003926467,0.0002056927,0.00004772432,0.000003236954,0.00003821752,0.9988915,0.0001306473,0.0004981297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8715511,"threshold_uncertainty_score":0.4297044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7122660472","doi":"10.1145/3777730.3777830","title":"Metal Solid Waste Recycling and Detection Method Based on Convolutional Attention and SCN","year":2025,"lang":"","type":"article","venue":"","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Feature (linguistics); Constant false alarm rate; False alarm; Support vector machine; Pattern recognition (psychology); Feature extraction; Convolutional neural network","authors":[{"name":"Hongyang Zhong","is_ca":true},{"name":"Ben Ding","is_ca":false},{"name":"Cheng Yang","is_ca":false},{"name":"Zihao Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008643817149311133,"gpt":0.2704265623664914,"spread":0.2617827452171803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005826037,0.0008045937,0.000847958,0.001238947,0.0004291927,0.0007221922,0.001346007,0.0008675688,0.001337463],"category_scores_gemma":[0.0008438766,0.0004236601,0.0009510299,0.0008125756,0.0003934208,0.001239904,0.000819954,0.0006334661,0.0004479085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008320739,"about_ca_system_score_gemma":0.001169373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007646658,"about_ca_topic_score_gemma":0.007563294,"domain_scores_codex":[0.9995021,0.00003720798,0.00002635787,0.0001294798,0.0002088062,0.00009611914],"domain_scores_gemma":[0.9996679,0.00005786008,0.00004399937,0.00004005103,0.0001654885,0.00002469744],"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":[0.0006031882,0.0002184753,0.007302877,0.0002996087,0.0001647734,0.0004599369,0.000153207,0.07504566,0.1389706,0.005333283,0.004311275,0.7671371],"study_design_scores_gemma":[0.00002387154,0.0001095516,0.002351079,0.00001436123,0.00009652643,0.0003118055,0.0000269668,0.9223478,0.07094427,0.001297455,0.002436021,0.00004027225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07289095,0.0006898665,0.916848,0.0003169854,0.0001717923,0.00009665242,0.00009859633,0.003447162,0.005439979],"genre_scores_gemma":[0.7884872,0.0006706712,0.1995286,0.0004136596,0.00008619175,0.0001132149,0.0003400326,0.0001390507,0.01022143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007646658,"threshold_uncertainty_score":0.01520431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6931562498","doi":"10.5281/zenodo.7169215","title":"Trassedia yanegai Miko and Trietsch 2018, sp. nov.","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Applied Advanced Technologies","field":"Engineering","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 Nutrition Society","funders":"","keywords":"Seta; Pedicel; Dorsum; Sulcus; Head (geology); Holotype; Dragonfly","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02087707678059829,"gpt":0.2169302679922832,"spread":0.196053191211685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002504815,0.001387235,0.0007424477,0.002818557,0.002453748,0.001055601,0.0007970417,0.0008445309,0.01374083],"category_scores_gemma":[0.0005393596,0.000385586,0.0004291017,0.003020108,0.0008431484,0.001848217,0.001132241,0.001106275,0.005782275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084883,"about_ca_system_score_gemma":0.001292779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03078618,"about_ca_topic_score_gemma":0.05346352,"domain_scores_codex":[0.9996983,0.00001493286,0.00004787957,0.0001096821,0.00007147218,0.00005776733],"domain_scores_gemma":[0.9997595,0.00002063722,0.00007234684,0.00003423434,0.00006834692,0.00004504669],"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":[0.001810029,0.0003549904,0.0968089,0.004516874,0.0005566115,0.009022641,0.005153515,0.002687113,0.09735738,0.005571348,0.05979793,0.7163626],"study_design_scores_gemma":[0.0004000443,0.0003358321,0.4333886,0.001270081,0.0007874275,0.01597548,0.007009138,0.00101109,0.004553844,0.001167457,0.5339437,0.0001573854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5811359,0.04088883,0.01201253,0.001602083,0.003612029,0.002255403,0.04689372,0.001862574,0.309737],"genre_scores_gemma":[0.8468063,0.01504701,0.01725354,0.001227101,0.0003349713,0.001917627,0.0565615,0.0002037525,0.06064825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03078618,"threshold_uncertainty_score":0.06121397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7038643086","doi":"","title":"The host immune response of MOLF/Ei mice to salmonella typhimurium infection: studying the Ity2 and Ity3 loci","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Congenic; Salmonella; Typhoid fever; Allele; Immune system; Locus (genetics); Salmonella infection; Salmonella typhi; Phenotype","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.009886385099453918,"gpt":0.2243943816240561,"spread":0.2145079965246022,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002132687,0.000653269,0.0003575021,0.0007848129,0.0002974839,0.000365321,0.0002470503,0.0005525424,0.001868731],"category_scores_gemma":[0.000138377,0.0002877333,0.0004967171,0.0002791042,0.0004128448,0.0002237865,0.0002785064,0.001420471,0.0003971974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003418529,"about_ca_system_score_gemma":0.0001738993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005964618,"about_ca_topic_score_gemma":0.001537287,"domain_scores_codex":[0.999639,0.00003597403,0.00002980825,0.0001121586,0.00006353436,0.0001195565],"domain_scores_gemma":[0.9995684,0.0000401508,0.0001620387,0.00002760811,0.00002787356,0.0001739219],"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":[0.0002107871,0.00006016394,0.0007868161,0.00001477838,0.000003806806,0.00003630813,0.00002724456,0.00002941558,0.998399,0.00003164716,0.00001313349,0.0003869592],"study_design_scores_gemma":[0.00009558575,0.002023167,0.1268544,0.00004067988,0.00006847394,0.00100747,0.0003873719,0.001383149,0.8655109,0.0001413741,0.002451658,0.00003581356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968581,0.0001430302,0.001257787,0.0000575941,0.000009399253,0.00002429291,0.001145389,0.00003671427,0.0004675629],"genre_scores_gemma":[0.9870803,0.0003863049,0.005241388,0.0002226799,0.00001618803,0.0001562274,0.00271421,0.0001249072,0.004057754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001868731,"threshold_uncertainty_score":0.006251514,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}