{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"a2423ebda0cb","filters":{"venue":"Digital Medicine and Healthcare Technology"}},"results":[{"id":"W4320915639","doi":"10.5772/dmht.13","title":"The Feasibility of Human Identification from Multiple ECGs using Maximal Overlap Discrete Wavelet Transform (MODWT) and Weighted Majority Voting Method (WMVM)","year":2023,"lang":"en","type":"article","venue":"Digital Medicine and Healthcare Technology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Discriminative model; Pattern recognition (psychology); Computer science; Artificial intelligence; Wavelet; Wavelet transform; Identification (biology); Discrete wavelet transform; Biometrics","authors":[{"name":"Abdullah Biran","is_ca":false},{"name":"Aleksandar Jeremić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07930149156468512,"gpt":0.4027270488198266,"spread":0.3234255572551414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005635449,0.0001666595,0.0005374575,0.0003031111,0.0003413122,0.0000215543,0.00009947607,0.0002132996,0.000001896485],"category_scores_gemma":[0.0004525977,0.0001132679,0.00006140969,0.0006702304,0.000543537,0.0001041763,0.00007012733,0.0003537028,8.499086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006195565,"about_ca_system_score_gemma":0.00004111637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647409,"about_ca_topic_score_gemma":0.00021765,"domain_scores_codex":[0.9984127,0.0000427586,0.0005840813,0.0004088596,0.0002447078,0.0003068972],"domain_scores_gemma":[0.9988883,0.0002935997,0.00018663,0.0003454743,0.0001615411,0.0001244891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204747,0.00004402122,0.7504184,0.000438628,0.0001431667,0.00002298747,0.0006874424,2.335078e-7,0.02105561,0.002424964,0.00002694447,0.2246172],"study_design_scores_gemma":[0.007529485,0.002752403,0.7834297,0.002291407,0.0009882175,0.0001741933,0.03484479,0.05684042,0.01690149,0.09264471,0.0008632906,0.0007398836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766309,0.001069706,0.001490626,0.02007141,0.00008911946,0.0003228513,0.00007020809,0.0001963158,0.0000588336],"genre_scores_gemma":[0.998626,0.0002734482,0.000712623,0.00003689118,0.0001421164,0.00001110825,0.0001274214,0.00001752977,0.00005285454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2238773,"threshold_uncertainty_score":0.4618932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404376113","doi":"10.5772/dmht.20230045","title":"Effectiveness of the CoronaCheck Mobile Health Application: An Analytical Cross-sectional Study in Lower–Middle-Income Countries","year":2024,"lang":"en","type":"article","venue":"Digital Medicine and Healthcare Technology","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"International Development Research Centre; Aga Khan Foundation Canada; Aga Khan Foundation","keywords":"Cross-sectional study; Low and middle income countries; Middle income; Environmental health; Demographic economics; Economics; Developing country; Medicine; Economic growth; Statistics; Mathematics","authors":[{"name":"Tehniat Shaikh","is_ca":false},{"name":"Saira Samnani","is_ca":false},{"name":"Abdul Muqeet","is_ca":false},{"name":"Amna Khan","is_ca":false},{"name":"Usama Narejo","is_ca":false},{"name":"Saleem Sayani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05682182340445104,"gpt":0.3717064579476883,"spread":0.3148846345432372,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150522,0.0001371976,0.0005078475,0.0005045514,0.0000800639,0.00003728447,0.0002209769,0.0001748594,0.00001335976],"category_scores_gemma":[0.0002618299,0.0001113966,0.00003536337,0.0008329091,0.0004804886,0.000197042,0.0001008832,0.0003554811,0.00001282506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501312,"about_ca_system_score_gemma":0.0001831023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309522,"about_ca_topic_score_gemma":0.0002088139,"domain_scores_codex":[0.9984129,0.00003125743,0.0007328392,0.0004730892,0.00007916462,0.0002707404],"domain_scores_gemma":[0.9990333,0.0002875304,0.0001552971,0.000382611,0.0000517599,0.00008946091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003634273,0.00007964981,0.8711852,0.0006503244,0.000016931,0.000004210056,0.0002686704,0.000006623267,4.607844e-7,0.1260884,0.00000341689,0.001659783],"study_design_scores_gemma":[0.0006238957,0.00191153,0.9560256,0.0002857984,0.000002402381,0.00002836668,0.000348928,0.0007252184,0.000002089493,0.03804095,0.001903104,0.0001021075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868848,0.00709929,0.0002120685,0.003986267,0.0003150917,0.001102942,0.0001293577,0.00009722189,0.0001729417],"genre_scores_gemma":[0.9993603,0.0001283246,0.00000420744,0.0002367855,0.00005160368,0.0001710742,0.00001228681,0.00001536206,0.00002008739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08804747,"threshold_uncertainty_score":0.4542623,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}