{"meta":{"query_hash":"a466b75c2660","filters":{"venue":"E-Health Telecommunication Systems and Networks"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/a466b75c2660","api":"https://metacan.xera.ac/api/v1/cohort?venue=E-Health+Telecommunication+Systems+and+Networks"},"results":[{"id":"W2288915740","doi":"10.4236/etsn.2016.51001","title":"Mobile EMR Use for Epidemiological Surveillance on a Medical Service Trip in Honduras: A Pilot Study","year":2016,"lang":"en","type":"article","venue":"E-Health Telecommunication Systems and Networks","topic":"Data-Driven Disease Surveillance","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":"University of Toronto; Grand River Hospital","funders":"","keywords":"Epidemiology; Medicine; Medical diagnosis; Observational study; Medical record; Family medicine; Health care; Documentation; Pediatrics; Surgery; Pathology","score_opus":0.0919961369887413,"score_gpt":0.36944284018400286,"score_spread":0.27744670319526155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288915740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99629587,0.000053579486,0.00035456865,0.00008894239,0.000008178038,0.0019725168,0.00066899735,0.000018157705,0.0005391476],"genre_scores_gemma":[0.9911232,0.00020021597,0.0033562898,0.00030830008,0.00003785711,0.003708674,0.00094599236,0.000008449609,0.00031106407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749327,0.0012250779,0.0002853689,0.0003158493,0.00030694055,0.00037351254],"domain_scores_gemma":[0.9919613,0.0020022453,0.0025945671,0.0008226537,0.0015949004,0.0010244206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038819883,0.0006091575,0.00039668143,0.0014122912,0.0010770566,0.0010352993,0.0011416532,0.00081508636,0.0014816265],"category_scores_gemma":[0.00842284,0.00048850465,0.00076364336,0.001089003,0.0007188325,0.0012409076,0.0015018979,0.0007889122,0.0005217651],"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":[0.0003669884,0.003948369,0.9643842,0.00032540155,0.000061889026,0.00080726366,0.0071523967,0.00022930704,0.0012610368,0.000034607645,0.0006363174,0.020792266],"study_design_scores_gemma":[0.00013713125,0.0058044493,0.9849006,0.00009846299,0.000057138106,0.00033793325,0.006600486,0.0007887439,0.00028764197,0.000023924384,0.0009360351,0.00002739705],"about_ca_topic_score_codex":0.042708542,"about_ca_topic_score_gemma":0.05717184,"teacher_disagreement_score":0.042708542,"about_ca_system_score_codex":0.0022286186,"about_ca_system_score_gemma":0.0033330668,"threshold_uncertainty_score":0.08491993},"labels":[],"label_agreement":null},{"id":"W2626150824","doi":"10.4236/etsn.2017.62002","title":"Validation of a Wearable Biometric System’s Ability to Monitor Heart Rate in Two Different Climate Conditions under Variable Physical Activities","year":2017,"lang":"en","type":"article","venue":"E-Health Telecommunication Systems and Networks","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Biometrics; Relative humidity; Wearable computer; Heart rate; Clothing; Heart rate monitor; Environmental science; Biometric data; Computer science; Simulation; Artificial intelligence; Medicine; Meteorology; Geography; Embedded system; Internal medicine","score_opus":0.026013752935758517,"score_gpt":0.31388616953855636,"score_spread":0.28787241660279783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626150824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880903,0.0001070959,0.010627489,0.000031219395,0.000055504162,0.00008199136,0.00025694547,0.000046404442,0.0007030533],"genre_scores_gemma":[0.99211067,0.000073609364,0.0068187797,0.000042203515,0.000020647909,0.00010604328,0.00022106185,0.000009265561,0.0005976964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988059,0.0005189423,0.00008804784,0.00024901144,0.0002764026,0.00006176734],"domain_scores_gemma":[0.9985057,0.00053295365,0.00020306978,0.00022129374,0.00044542685,0.00009158573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013064276,0.00033948928,0.0002818161,0.0002783686,0.000167849,0.0003315279,0.00021601471,0.00042949925,0.001485015],"category_scores_gemma":[0.002776715,0.0001200831,0.0002012911,0.00024698596,0.00021692533,0.0002928363,0.0003680377,0.00019692554,0.00052985485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005533903,0.001041054,0.19042128,0.00042130516,0.0002818038,0.00024118973,0.000911514,0.001391036,0.69295055,0.00030828296,0.0006356618,0.10586245],"study_design_scores_gemma":[0.00026752485,0.0128277475,0.8304545,0.000055638273,0.00022931768,0.0017356944,0.00085535564,0.013333799,0.13796762,0.00017019483,0.0020311973,0.00007133958],"about_ca_topic_score_codex":0.00029973776,"about_ca_topic_score_gemma":0.0003646549,"teacher_disagreement_score":0.001485015,"about_ca_system_score_codex":0.000077441524,"about_ca_system_score_gemma":0.00013602414,"threshold_uncertainty_score":0.006909132},"labels":[],"label_agreement":null},{"id":"W4285202590","doi":"10.4236/etsn.2022.112005","title":"Consumer Risk Perceptions in Mobile Health Services Adoption: Do They Matter?","year":2022,"lang":"en","type":"article","venue":"E-Health Telecommunication Systems and Networks","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Risk perception; Business; Context (archaeology); Mobile service; Marketing; Perception; Service (business); Obstacle; Health promotion; Variance (accounting); Environmental health; Psychology; Public health; Medicine; Geography; Nursing","score_opus":0.04419359297994935,"score_gpt":0.36331234240255,"score_spread":0.31911874942260066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285202590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894582,0.0015244271,0.0011846672,0.0024763078,0.000027081998,0.00005240658,0.00004370365,0.000006587469,0.0052265488],"genre_scores_gemma":[0.99919134,0.00029100606,0.00021096185,0.00011715845,0.000018498396,0.000009590565,0.000014434028,0.0000023656457,0.00014476579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952306,0.002332588,0.00031589228,0.00031778018,0.0013779645,0.00042500577],"domain_scores_gemma":[0.9425187,0.043073136,0.008984981,0.0010013859,0.0025549002,0.001866937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067241327,0.00032849092,0.0005188801,0.0009547304,0.00059046864,0.003236991,0.0003813199,0.0013643756,0.0035267214],"category_scores_gemma":[0.045092404,0.00031461337,0.0009461666,0.00094344304,0.0017159334,0.0021593322,0.0010229426,0.002182354,0.00022689188],"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":[0.00048464182,0.00091486424,0.9422643,0.00026543293,0.00034879256,0.00030103233,0.013623255,0.0003260708,0.00046121568,0.0036913059,0.00028686627,0.037032265],"study_design_scores_gemma":[0.000030351815,0.00046262305,0.97648346,0.0002746621,0.00031928497,0.0003757492,0.013887424,0.0020980027,0.00031451634,0.004133212,0.0015552776,0.00006544542],"about_ca_topic_score_codex":0.0040814956,"about_ca_topic_score_gemma":0.0036664756,"teacher_disagreement_score":0.0067241327,"about_ca_system_score_codex":0.00080816797,"about_ca_system_score_gemma":0.0010927088,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4385559563","doi":"10.4236/etsn.2023.122002","title":"Automating the Competence Matrix of a Quality Control Laboratory with the Relational Database Management Framework—A Case Study with the Analytical Chemistry Unit of a National Regulatory Agency","year":2023,"lang":"en","type":"article","venue":"E-Health Telecommunication Systems and Networks","topic":"Spreadsheets and End-User Computing","field":"Computer Science","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":"Institute of Population and Public Health; Purdue University","keywords":"Relational database management system; Computer science; Relational database; Competence (human resources); Database; Software; Management system; Quality management system; Software engineering; Quality management; Operations management; Operating system; Engineering","score_opus":0.04314701485112316,"score_gpt":0.3344977276935186,"score_spread":0.29135071284239544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385559563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965252,0.00014221093,0.029509135,0.00048759367,0.000009870923,0.0003913153,0.000036695117,0.00012239315,0.004048783],"genre_scores_gemma":[0.95804286,0.000111883644,0.040246375,0.00005177636,0.000006660898,0.0000741696,0.000061731305,0.000019168494,0.0013854163],"study_design_codex":"design_other","study_design_gemma":"case_report","domain_scores_codex":[0.9942192,0.0032870236,0.00029536162,0.0005292753,0.0012290631,0.00044015553],"domain_scores_gemma":[0.9921888,0.004009521,0.0007643105,0.00072886306,0.0018181228,0.00049031485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008150815,0.00034383094,0.0002779451,0.00085993204,0.0016564763,0.0024879705,0.0014794834,0.0009123538,0.0011284406],"category_scores_gemma":[0.010026303,0.00031630267,0.00037423454,0.00065433356,0.0009856382,0.0017240503,0.0014368014,0.0008563869,0.00024005737],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011984899,0.011281401,0.16948953,0.0015390442,0.00012232889,0.010981526,0.11894983,0.04653117,0.061953474,0.018896513,0.0050100195,0.55404675],"study_design_scores_gemma":[0.00042772514,0.008289791,0.21174645,0.0007381215,0.00036006462,0.0072370204,0.20343016,0.35482687,0.104653575,0.007446672,0.10040806,0.00043557392],"about_ca_topic_score_codex":0.011619422,"about_ca_topic_score_gemma":0.011602331,"teacher_disagreement_score":0.011619422,"about_ca_system_score_codex":0.0026710848,"about_ca_system_score_gemma":0.0039008358,"threshold_uncertainty_score":0.04310614},"labels":[],"label_agreement":null}]}