{"meta":{"query_hash":"a2423ebda0cb","filters":{"venue":"Digital Medicine and Healthcare Technology"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/a2423ebda0cb","api":"https://metacan.xera.ac/api/v1/cohort?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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07930149156468512,"score_gpt":0.40272704881982657,"score_spread":0.32342555725514144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320915639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766309,0.0010697056,0.001490626,0.020071408,0.00008911946,0.0003228513,0.000070208094,0.00019631577,0.000058833604],"genre_scores_gemma":[0.998626,0.0002734482,0.000712623,0.000036891182,0.00014211639,0.000011108253,0.00012742142,0.00001752977,0.000052854542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841267,0.0000427586,0.00058408134,0.00040885963,0.0002447078,0.00030689724],"domain_scores_gemma":[0.99888825,0.00029359967,0.00018663003,0.00034547428,0.00016154107,0.00012448906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005635449,0.00016665953,0.00053745747,0.0003031111,0.00034131223,0.000021554295,0.00009947607,0.0002132996,0.0000018964852],"category_scores_gemma":[0.00045259765,0.00011326794,0.000061409686,0.0006702304,0.000543537,0.000104176295,0.00007012733,0.00035370275,8.499086e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120474695,0.000044021217,0.75041837,0.00043862802,0.00014316672,0.000022987466,0.00068744237,2.3350782e-7,0.02105561,0.002424964,0.000026944466,0.22461718],"study_design_scores_gemma":[0.0075294846,0.0027524028,0.78342974,0.0022914065,0.0009882175,0.00017419326,0.034844793,0.05684042,0.016901486,0.09264471,0.0008632906,0.0007398836],"about_ca_topic_score_codex":0.0016474093,"about_ca_topic_score_gemma":0.00021765,"teacher_disagreement_score":0.2238773,"about_ca_system_score_codex":0.00006195565,"about_ca_system_score_gemma":0.00004111637,"threshold_uncertainty_score":0.46189323},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.056821823404451036,"score_gpt":0.37170645794768825,"score_spread":0.31488463454323723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404376113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98688483,0.00709929,0.00021206854,0.0039862674,0.00031509166,0.0011029417,0.0001293577,0.00009722189,0.0001729417],"genre_scores_gemma":[0.99936026,0.00012832462,0.0000042074403,0.00023678552,0.00005160368,0.0001710742,0.0000122868105,0.000015362057,0.000020087393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984129,0.000031257434,0.0007328392,0.00047308923,0.000079164616,0.00027074036],"domain_scores_gemma":[0.99903333,0.00028753036,0.00015529714,0.000382611,0.000051759896,0.00008946091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011505216,0.00013719763,0.0005078475,0.0005045514,0.000080063895,0.00003728447,0.0002209769,0.00017485938,0.0000133597605],"category_scores_gemma":[0.0002618299,0.000111396635,0.000035363366,0.00083290914,0.00048048858,0.00019704195,0.00010088325,0.00035548108,0.000012825058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036342728,0.00007964981,0.8711852,0.0006503244,0.000016931002,0.000004210056,0.00026867035,0.000006623267,4.607844e-7,0.12608843,0.00000341689,0.0016597831],"study_design_scores_gemma":[0.00062389567,0.0019115302,0.9560256,0.00028579842,0.0000024023811,0.000028366683,0.00034892798,0.00072521844,0.0000020894927,0.038040955,0.0019031039,0.00010210752],"about_ca_topic_score_codex":0.0013095216,"about_ca_topic_score_gemma":0.00020881393,"teacher_disagreement_score":0.088047475,"about_ca_system_score_codex":0.00035013122,"about_ca_system_score_gemma":0.0001831023,"threshold_uncertainty_score":0.45426232},"labels":[],"label_agreement":null}]}