{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"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":"9127a5946bb0","filters":{"venue":"IEEE data descriptions."}},"results":[{"id":"W4409992151","doi":"10.1109/ieeedata.2025.3566012","title":"Descriptor: Heart and Lung Sounds Dataset Recorded From a Clinical Manikin Using Digital Stethoscope (HLS-CMDS)","year":2025,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stethoscope; Medicine; Computer science; Speech recognition","authors":[{"name":"Yasaman Torabi","is_ca":true},{"name":"Shahram Shirani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.140388953294473,"gpt":0.4271420767324297,"spread":0.2867531234379567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005004687,0.001741721,0.001107282,0.001540409,0.0004830995,0.0009185213,0.001662388,0.001656684,0.01664914],"category_scores_gemma":[0.00218773,0.0002106036,0.0008883792,0.001210407,0.0002870182,0.0007693718,0.001463584,0.000867737,0.02243846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006737126,"about_ca_system_score_gemma":0.0008695952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002596,"about_ca_topic_score_gemma":0.02424713,"domain_scores_codex":[0.9993683,0.00008672862,0.0001072337,0.0001483641,0.0001960938,0.00009335518],"domain_scores_gemma":[0.9989801,0.0001779428,0.00006642536,0.000190309,0.0004458935,0.0001392986],"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":[0.0008930654,0.0004204028,0.01128353,0.002199139,0.0001419728,0.0005104105,0.000124816,0.001361176,0.005076087,0.0003873926,0.9026802,0.07492171],"study_design_scores_gemma":[0.0009470469,0.001232084,0.1940019,0.001601671,0.0002810894,0.002875465,0.001783561,0.0221686,0.01433349,0.002438164,0.7579299,0.0004069148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02136381,0.001114961,0.002690847,0.0005299028,0.0007349265,0.0003672669,0.9640434,0.003088357,0.006066565],"genre_scores_gemma":[0.02118791,0.0003518665,0.002608776,0.0001830878,0.0001218854,0.0004549523,0.9712229,0.00009177112,0.00377684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01664914,"threshold_uncertainty_score":0.0556969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403420770","doi":"10.1109/ieeedata.2024.3480012","title":"Descriptor: Comprehensive IEEE Research Data Collections (CIRDC)","year":2024,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science; Information retrieval","authors":[{"name":"Yuhang Zhang","is_ca":false},{"name":"Yongfu Li","is_ca":false},{"name":"Stephen Makonin","is_ca":true},{"name":"Rakesh Kumar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4116476010956684,"gpt":0.4084695560255233,"spread":0.003178045070145186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006567985,0.002182093,0.002536471,0.02055397,0.002043205,0.01019186,0.00424888,0.002123911,0.4344697],"category_scores_gemma":[0.02928302,0.001465014,0.001087512,0.03537121,0.0006556229,0.005098551,0.004168546,0.002677831,0.4487697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003702414,"about_ca_system_score_gemma":0.01294842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102541,"about_ca_topic_score_gemma":0.01995273,"domain_scores_codex":[0.9949428,0.0006408404,0.001143631,0.0007348203,0.002070867,0.0004670308],"domain_scores_gemma":[0.9722173,0.003793391,0.001907926,0.0074517,0.01183769,0.002792069],"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":[0.00002868743,0.00001503701,0.0001513269,0.000385076,0.000006075293,0.000007824211,0.00001575727,0.00006604018,0.0001153676,0.001093184,0.9875618,0.01055388],"study_design_scores_gemma":[0.00002946391,0.00001010689,0.0007955538,0.0001280903,0.000007069552,0.00002103218,0.0000364676,0.00009457296,0.0002898739,0.0007549549,0.9978139,0.00001887866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001654173,0.000211864,0.001918252,0.0005795088,0.0006333358,0.0003882028,0.9501371,0.00727164,0.03869468],"genre_scores_gemma":[0.0008555276,0.0003800094,0.004318086,0.0003029676,0.0001969478,0.00054159,0.9764663,0.001791378,0.0151472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4344697,"threshold_uncertainty_score":0.8066603,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414463030","doi":"10.1109/ieeedata.2025.3612373","title":"Collection: Datasets From Real-Time In-Situ Soil Monitoring for Agriculture 2025","year":2025,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Manitoba; Environment and Climate Change Canada; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Loam; Soil water; Water content; Soil quality; Hydrology (agriculture); Agriculture; Precision agriculture; Environmental monitoring; Soil map","authors":[{"name":"KAYLA R. MOORE","is_ca":true},{"name":"Taras E. Lychuk","is_ca":true},{"name":"Heather McNairn","is_ca":true},{"name":"Xiaoyuan Geng","is_ca":true},{"name":"Aston Chipanshi","is_ca":true},{"name":"E. RoTimi Ojo","is_ca":true},{"name":"David R. Lapen","is_ca":true},{"name":"Jarrett Powers","is_ca":true},{"name":"AMANDA HALSTEAD","is_ca":true},{"name":"Kurt Gottfried","is_ca":true},{"name":"Erica Tetlock","is_ca":true},{"name":"BELINDA BENCE","is_ca":true},{"name":"Catherine M. Champagne","is_ca":true},{"name":"Aaron J. Glenn","is_ca":true},{"name":"Stephen Crittenden","is_ca":true},{"name":"Patrick Rollin","is_ca":true},{"name":"John Fitzmaurice","is_ca":true},{"name":"Paul Bullock","is_ca":true},{"name":"Warren Helgason","is_ca":true},{"name":"Bruce Johnson","is_ca":true},{"name":"CLAYTON JACKSON","is_ca":true},{"name":"Arnie Waddell","is_ca":true},{"name":"ANDREW KOPEECHUK","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04507725774729743,"gpt":0.2686564452830543,"spread":0.2235791875357568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222561,0.002129813,0.001223443,0.002163376,0.0006469656,0.001270294,0.002780162,0.001781837,0.01360759],"category_scores_gemma":[0.003520441,0.0005075776,0.001193496,0.005314779,0.0003899624,0.001449594,0.001236865,0.001224081,0.02542411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625005,"about_ca_system_score_gemma":0.00185061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06092741,"about_ca_topic_score_gemma":0.08964975,"domain_scores_codex":[0.9988101,0.000147383,0.0001837138,0.0002985663,0.0004137041,0.0001465147],"domain_scores_gemma":[0.997631,0.000267463,0.0002305779,0.0004348049,0.001258637,0.0001775629],"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":[0.00009861759,0.00009909896,0.004893702,0.0005603186,0.00008779339,0.00006221619,0.00003562925,0.002947193,0.000635999,0.0004613145,0.983081,0.007037001],"study_design_scores_gemma":[0.0006300979,0.00008984328,0.0506721,0.0003736879,0.00008970955,0.0001245607,0.000364849,0.009754322,0.00246138,0.001756021,0.9335456,0.0001378844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008925619,0.00005619957,0.000243482,0.0001079375,0.00004061356,0.00002848514,0.9975042,0.0005554702,0.0005710298],"genre_scores_gemma":[0.001324526,0.00003593513,0.0007714382,0.00004316914,0.000008162941,0.000097832,0.9974266,0.00004148382,0.0002508085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06092741,"threshold_uncertainty_score":0.1211455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403059761","doi":"10.1109/ieeedata.2024.3471469","title":"Descriptor: Simon Fraser University Electric Vehicle Parking Dataset (SFU-EVP)","year":2024,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Aeronautics; Electric vehicle; Transport engineering; Computer science; Automotive engineering; Engineering; Physics","authors":[{"name":"Stephen Makonin","is_ca":true},{"name":"Isla Ziyat","is_ca":true},{"name":"Rylen Sampson","is_ca":true},{"name":"S An","is_ca":true},{"name":"Fred Popowich","is_ca":true},{"name":"Patrick Palmer","is_ca":true},{"name":"David Agosti","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04244847937209739,"gpt":0.2351234023102891,"spread":0.1926749229381917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000759921,0.002464687,0.001590242,0.003566484,0.001033198,0.002276817,0.002952699,0.002485309,0.0420526],"category_scores_gemma":[0.003842624,0.0004719903,0.001363761,0.006577886,0.0003899831,0.001988404,0.001814583,0.001807814,0.07185902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905928,"about_ca_system_score_gemma":0.00230248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05180724,"about_ca_topic_score_gemma":0.06332723,"domain_scores_codex":[0.9988637,0.0001342532,0.0001247738,0.0002962994,0.0003530579,0.0002279117],"domain_scores_gemma":[0.9984326,0.000245628,0.0001206764,0.000377375,0.0006232055,0.0002005721],"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":[0.0000383133,0.00001737042,0.0007982349,0.0001985947,0.00001709427,0.00002239218,0.00001032049,0.0004732761,0.00007430847,0.000279013,0.9957639,0.002307085],"study_design_scores_gemma":[0.0002217524,0.0000332519,0.008032968,0.0002284362,0.00002602411,0.00008861593,0.0001887168,0.003953186,0.0007098228,0.001553953,0.9849067,0.00005659436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003027238,0.00004269295,0.00007277221,0.00009576324,0.00004513207,0.00001200978,0.9980935,0.0005416016,0.0007936058],"genre_scores_gemma":[0.0005430182,0.00003040347,0.0001983276,0.00002516482,0.00000787028,0.0000283689,0.9988064,0.00003293236,0.0003274516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05180724,"threshold_uncertainty_score":0.14068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403210404","doi":"10.1109/ieeedata.2024.3475993","title":"Descriptor: BLDC Hall Sensor Displacement Dataset (BLDC-HSD)","year":2024,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Seoul National University of Science and Technology","keywords":"Displacement (psychology); Hall effect sensor; Computer science; Artificial intelligence; Psychology; Electrical engineering; Engineering; Magnet; Psychoanalysis","authors":[{"name":"YongKeun Lee","is_ca":false},{"name":"Stephen Makonin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1145692763006116,"gpt":0.3077509649175638,"spread":0.1931816886169522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007372828,0.003646089,0.00146032,0.002226548,0.0009194332,0.00149073,0.003847693,0.002666895,0.02660316],"category_scores_gemma":[0.002662458,0.0005512688,0.001482146,0.003513782,0.0004566405,0.001473285,0.001359745,0.002563886,0.04153108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593588,"about_ca_system_score_gemma":0.001780335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02489772,"about_ca_topic_score_gemma":0.03443063,"domain_scores_codex":[0.999115,0.00008330039,0.00009494732,0.0002536767,0.0003017794,0.0001512241],"domain_scores_gemma":[0.9985691,0.0001912587,0.00009377163,0.0004116307,0.0005983372,0.0001358565],"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":[0.0002000544,0.0001414919,0.000993665,0.0004610861,0.00004257992,0.00007504203,0.0000149366,0.002577444,0.00101677,0.0003257117,0.9841249,0.01002631],"study_design_scores_gemma":[0.001132428,0.0003134856,0.01529987,0.0003172403,0.00009499432,0.0003727654,0.0002616716,0.03666953,0.01186656,0.003328422,0.9301796,0.0001634687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001929473,0.0001288461,0.0008093928,0.0002158164,0.0001819952,0.000078692,0.9915779,0.003457302,0.001620586],"genre_scores_gemma":[0.001718373,0.00003954208,0.0008733423,0.00003779264,0.00001094741,0.00008739008,0.9965169,0.00006956304,0.0006460869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02660316,"threshold_uncertainty_score":0.08899647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408592422","doi":"10.1109/ieeedata.2025.3553097","title":"Descriptor: Multimodal Dataset for Player Engagement Analysis in Video Games (MultiPENG)","year":2025,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Digital Games and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Video game; Human–computer interaction; Multimedia; Artificial intelligence","authors":[{"name":"Ammar Rashed","is_ca":true},{"name":"Shervin Shirmohammadi","is_ca":true},{"name":"Mohamed Hefeeda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1007772799875307,"gpt":0.3837966642882122,"spread":0.2830193843006815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009832638,0.002989561,0.001432264,0.002843751,0.0009003857,0.001389817,0.002407887,0.00227756,0.0115662],"category_scores_gemma":[0.003037055,0.0003680033,0.00167415,0.002393431,0.000380236,0.001093063,0.002407826,0.001502482,0.01728074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145429,"about_ca_system_score_gemma":0.001003923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02675043,"about_ca_topic_score_gemma":0.03755806,"domain_scores_codex":[0.998903,0.0001767941,0.0001310403,0.0002966363,0.000317122,0.0001754082],"domain_scores_gemma":[0.998924,0.0001755116,0.0000827855,0.0003200555,0.0003529312,0.0001446825],"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":[0.001102649,0.0006541344,0.009031503,0.001589549,0.0002833517,0.0004300733,0.0002008578,0.0040018,0.007424447,0.0009950406,0.8905792,0.08370745],"study_design_scores_gemma":[0.001093538,0.001196789,0.1305761,0.0005891378,0.0003269441,0.001182018,0.0009062893,0.05103284,0.01887299,0.00373553,0.790046,0.0004418399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01714221,0.0006075343,0.003903573,0.0002605609,0.0002950034,0.000621578,0.967298,0.006597486,0.003273954],"genre_scores_gemma":[0.01126522,0.0001045977,0.003213225,0.00007457749,0.00003637148,0.0006716761,0.9827477,0.0001324591,0.001754092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02675043,"threshold_uncertainty_score":0.05318946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409561214","doi":"10.1109/ieeedata.2025.3562173","title":"Descriptor: Open-Domain Long-Form Context-Aware Question-Answering Dataset (DragonVerseQA)","year":2025,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Topic Modeling","field":"Computer Science","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 Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Open domain; Question answering; Computer science; Context (archaeology); Information retrieval; Domain (mathematical analysis); Closed-ended question; Artificial intelligence; Mathematics; Geography; Statistics","authors":[{"name":"Aritra Kumar Lahiri","is_ca":true},{"name":"Qinmin Hu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08150532100520148,"gpt":0.3335827149188032,"spread":0.2520773939136017,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001534035,0.002224923,0.000963596,0.002740552,0.001396283,0.00186119,0.002252205,0.003498199,0.02553018],"category_scores_gemma":[0.008327253,0.0003799568,0.00111719,0.002804485,0.0006975131,0.002474939,0.003264908,0.002124398,0.03170453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390311,"about_ca_system_score_gemma":0.001800389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211106,"about_ca_topic_score_gemma":0.04576639,"domain_scores_codex":[0.9982889,0.0004021543,0.000193049,0.0004922407,0.0004517068,0.0001718596],"domain_scores_gemma":[0.9969733,0.0008770967,0.0002244306,0.0006839153,0.0008565231,0.0003848161],"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":[0.0002739825,0.0001552152,0.001570054,0.001505711,0.00004675791,0.0001765724,0.0004145412,0.001096879,0.00227964,0.001314639,0.9711102,0.02005582],"study_design_scores_gemma":[0.0003256128,0.000178512,0.008798587,0.0003925289,0.00004891629,0.000303409,0.001154293,0.008429121,0.00373518,0.003425255,0.9731026,0.0001058961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007024798,0.0009675467,0.002641851,0.0007568296,0.0003305084,0.0004695394,0.9743667,0.00710024,0.006342126],"genre_scores_gemma":[0.00640512,0.0001050408,0.004774791,0.0002357332,0.00004240874,0.0003985284,0.985827,0.0001787695,0.002032588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02553018,"threshold_uncertainty_score":0.08540702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403296111","doi":"10.1109/ieeedata.2024.3478184","title":"Meta: Defining the Disaggregated Component Assignation Error Metric for Complex Time-Series Signal Data","year":2024,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Series (stratigraphy); Component (thermodynamics); Metric (unit); Computer science; SIGNAL (programming language); Algorithm; Statistics; Mathematics; Geology; Engineering; Operations management; Physics","authors":[{"name":"Stephen Makonin","is_ca":true},{"name":"Alejandro Rodriguez-Silva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3979679278001698,"gpt":0.3943644264628596,"spread":0.003603501337310189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009006246,0.00173922,0.001164988,0.00396087,0.0006950112,0.004383202,0.002204597,0.002147887,0.003064255],"category_scores_gemma":[0.0329573,0.0006401769,0.001296313,0.004948376,0.001841255,0.004922317,0.0032732,0.002383831,0.002144777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313678,"about_ca_system_score_gemma":0.00126026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002367217,"about_ca_topic_score_gemma":0.001432986,"domain_scores_codex":[0.9914659,0.002129638,0.001323616,0.001353189,0.003484985,0.0002425319],"domain_scores_gemma":[0.9854985,0.00483301,0.001879843,0.003658305,0.003858849,0.0002714864],"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":[0.0004938071,0.0002042656,0.01400804,0.001118061,0.000592159,0.0003276819,0.0006649796,0.2289915,0.02983712,0.18321,0.01804522,0.5225071],"study_design_scores_gemma":[0.00004221238,0.0003166409,0.01049717,0.0003307077,0.0001135536,0.0006961056,0.0002181284,0.7439446,0.03772818,0.152852,0.05306402,0.0001968137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003622352,0.0002855835,0.9929397,0.0002736276,0.00009174156,0.00008264818,0.0006032933,0.0008434763,0.0012576],"genre_scores_gemma":[0.1483857,0.0006234898,0.84149,0.0005931859,0.0003776845,0.0007498708,0.003365922,0.0009222667,0.003491979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009006246,"threshold_uncertainty_score":0.04763013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411203698","doi":"10.1109/ieeedata.2025.3576318","title":"Descriptor: Medium Resolution Digital Elevation Model From Natural Resources Canada’s CanElevation Series (MRDEM-30)","year":2025,"lang":"en","type":"article","venue":"IEEE data descriptions.","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Digital elevation model; Resolution (logic); Elevation (ballistics); Computer science; Natural (archaeology); Remote sensing; Geology; Geography; Artificial intelligence; Mathematics; Geometry; Archaeology","authors":[{"name":"Heather McGrath","is_ca":true},{"name":"C Papasodoro","is_ca":true},{"name":"JS. Moreau","is_ca":true},{"name":"Jean-François Bourgon","is_ca":true},{"name":"Maxim Fortin","is_ca":true},{"name":"C. Fuss","is_ca":true},{"name":"Pierre-Martin Tardif","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02208084101490541,"gpt":0.218805507450986,"spread":0.1967246664360806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894877,0.0009092782,0.0005626286,0.002474342,0.001024563,0.002185785,0.002053507,0.000618836,0.06324609],"category_scores_gemma":[0.002106793,0.0003572311,0.0004633359,0.007352537,0.0004262542,0.001203729,0.0009149815,0.001074609,0.04141904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006638811,"about_ca_system_score_gemma":0.01706617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8915755,"about_ca_topic_score_gemma":0.9348094,"domain_scores_codex":[0.9993283,0.00002350671,0.00003663576,0.00006744056,0.0004261053,0.0001180394],"domain_scores_gemma":[0.9972076,0.00007149476,0.00005749408,0.0002242121,0.002270151,0.0001689239],"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":[0.0001153968,0.00004916196,0.006654395,0.0001695351,0.00002413934,0.00008524946,0.0001089096,0.003865256,0.001282795,0.003077641,0.9368603,0.04770724],"study_design_scores_gemma":[0.00008022168,0.00001424368,0.02191034,0.0001237843,0.00002030997,0.00006259461,0.0003076138,0.01278869,0.002465262,0.001422179,0.9607215,0.00008330318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002743512,0.00008850037,0.006975647,0.0003103103,0.0001231331,0.0002173475,0.9480509,0.005286269,0.03620448],"genre_scores_gemma":[0.0194193,0.0002665951,0.01029189,0.0001233906,0.0000206799,0.0002023609,0.9512437,0.0008753402,0.01755669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1084245,"threshold_uncertainty_score":0.2181261,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402781705","doi":"10.1109/ieeedata.2024.3421108","title":"Editorial: Enhancing Reproducibility Through Understanding Datasets","year":2024,"lang":"en","type":"editorial","venue":"IEEE data descriptions.","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"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":"","keywords":"Reproducibility; Computer science; Data science; Chemistry; Chromatography","authors":[{"name":"Stephen Makonin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1065644236756734,"gpt":0.349820396448238,"spread":0.2432559727725646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02337115,0.003860993,0.005260166,0.006929944,0.005791797,0.01386366,0.005673651,0.01950332,0.02638402],"category_scores_gemma":[0.09659351,0.001769547,0.003847663,0.003281524,0.0048864,0.007765641,0.002888761,0.02465949,0.0246266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00432589,"about_ca_system_score_gemma":0.00634977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054404,"about_ca_topic_score_gemma":0.00625407,"domain_scores_codex":[0.9818935,0.003358539,0.002489687,0.001754338,0.009658025,0.0008459442],"domain_scores_gemma":[0.8840731,0.04895321,0.00497524,0.004087387,0.04909779,0.008813215],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000153537,0.000005463112,0.000009067835,0.0000782244,0.00001018685,0.00002988602,0.000004735962,0.00001323517,0.00002121847,0.0002212452,0.9971516,0.002439915],"study_design_scores_gemma":[0.0000733175,0.00002058303,0.0001775275,0.0003930141,0.00004004015,0.0001459612,0.00002325185,0.0002014668,0.0001193732,0.002178414,0.9966019,0.00002512835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002268778,0.001737377,0.000291377,0.04339508,0.9528349,0.00002906278,0.000121181,0.0001228147,0.001445588],"genre_scores_gemma":[0.000367217,0.00172034,0.0003150453,0.02666611,0.9606994,0.00005458255,0.0001135728,0.0001284119,0.009935299],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9766288,"threshold_uncertainty_score":0.1235999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}