{"meta":{"query_hash":"33bcc7bee891","filters":{"venue":"Frontiers in Digital Health"},"cohort_total":128,"direct_labels_cover":1,"predictions_cover":128,"exported":128,"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/33bcc7bee891","api":"https://metacan.xera.ac/api/v1/cohort?venue=Frontiers+in+Digital+Health"},"results":[{"id":"W3048275268","doi":"10.3389/fdgth.2020.00012","title":"Uncovering the Value of a Historical Paper-Based Collaborative Artifact: The Nursing Unit's Kardex System","year":2020,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"Ohio State University","keywords":"Artifact (error); Usability; Narrative; Unit (ring theory); Nursing; Value (mathematics); Cognition; Psychology; Computer science; Medicine; Human–computer interaction; Artificial intelligence","score_opus":0.016718556949412065,"score_gpt":0.2767201338056469,"score_spread":0.2600015768562349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048275268","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":[0.9140014,0.0009183773,0.063482635,0.0018892898,0.0001650525,0.0002611287,0.00021968153,0.00044041962,0.018622017],"genre_scores_gemma":[0.94949865,0.00043814807,0.04685569,0.00016553135,0.000044711822,0.00012544812,0.00014056532,0.00008681138,0.0026444043],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98734957,0.008964384,0.00080289965,0.0007022175,0.0018462632,0.00033455284],"domain_scores_gemma":[0.9433628,0.041941606,0.0039336793,0.006827817,0.0031339545,0.0008002203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011277771,0.00052044285,0.00028747393,0.0034108171,0.0023998523,0.007161826,0.0010762336,0.00077184284,0.0014191625],"category_scores_gemma":[0.036629096,0.00034708763,0.00046776322,0.002395426,0.0047373422,0.0052892556,0.003670095,0.00070367835,0.0003677443],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000312951,0.00015195992,0.053216815,0.0013474207,0.00007336356,0.0021853491,0.6718764,0.0010288347,0.00966258,0.015703088,0.0022260097,0.24221532],"study_design_scores_gemma":[0.00010230825,0.002171682,0.08620014,0.0037833503,0.00036570444,0.007879785,0.5398537,0.0087286765,0.023898778,0.01840134,0.30822673,0.0003878877],"about_ca_topic_score_codex":0.0012718114,"about_ca_topic_score_gemma":0.0023360003,"teacher_disagreement_score":0.011277771,"about_ca_system_score_codex":0.0019306109,"about_ca_system_score_gemma":0.0024659904,"threshold_uncertainty_score":0.05964321},"labels":[],"label_agreement":null},{"id":"W3092437860","doi":"10.3389/fdgth.2020.547324","title":"A Computable Phenotype Model for Classification of Men Who Have Sex With Men Within a Large Linked Database of Laboratory, Surveillance, and Administrative Healthcare Records","year":2020,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"George & Fay Yee Centre for Healthcare Innovation; University of Manitoba; Simon Fraser University; University of Waterloo; University of British Columbia; BC Centre for Disease Control","funders":"Canadian Institutes of Health Research; British Columbia Centre for Disease Control; Provincial Health Services Authority","keywords":"Men who have sex with men; Medicine; Cohort; Database; Public health; Sexual orientation; Health care; Demography; Psychological intervention; Public health surveillance; Family medicine; Gerontology; Syphilis; Human immunodeficiency virus (HIV); Computer science; Psychology; Pathology","score_opus":0.05266772936289411,"score_gpt":0.35695179712027475,"score_spread":0.30428406775738065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092437860","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":[0.72935104,0.0006957388,0.25383484,0.0049524726,0.00018197371,0.00058969576,0.007097013,0.000565114,0.002731956],"genre_scores_gemma":[0.96338564,0.00017738644,0.029536257,0.00035079703,0.00008379239,0.0005383445,0.004311897,0.000037567308,0.0015783443],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968515,0.0018795164,0.00012258827,0.0006996272,0.00018920522,0.00025752973],"domain_scores_gemma":[0.9880816,0.008741385,0.0013960643,0.0005430176,0.00087755604,0.00036053144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008973887,0.0011461704,0.0011102854,0.0024096877,0.00068251265,0.0021428955,0.0023488833,0.0011775515,0.0031451478],"category_scores_gemma":[0.021856803,0.0004916935,0.0017460404,0.0011866303,0.0013163403,0.001176441,0.0016452615,0.002112609,0.0005014156],"study_design_candidate":"simulation_or_modeling","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":[0.0008020296,0.0005437561,0.59034145,0.00017487715,0.000802408,0.00051985553,0.0007385702,0.331418,0.0004971028,0.019573841,0.0065891296,0.047998924],"study_design_scores_gemma":[0.000082188286,0.00014633508,0.028502362,0.00007536887,0.00012602497,0.00016722288,0.0001884363,0.9571143,0.000101527134,0.01241459,0.0010554933,0.000026150077],"about_ca_topic_score_codex":0.029120792,"about_ca_topic_score_gemma":0.020039987,"teacher_disagreement_score":0.029120792,"about_ca_system_score_codex":0.0021156813,"about_ca_system_score_gemma":0.0019339988,"threshold_uncertainty_score":0.057902575},"labels":[],"label_agreement":null},{"id":"W3097289530","doi":"10.3389/fdgth.2020.619692","title":"Advancing PPG Signal Quality and Know-How Through Knowledge Translation—From Experts to Student and Researcher","year":2020,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":31,"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 British Columbia","funders":"National Institute for Health and Care Research","keywords":"Artifact (error); Quality (philosophy); Photoplethysmogram; Computer science; Pulse (music); TRACE (psycholinguistics); Wearable computer; Noise (video); SIGNAL (programming language); Medical physics; Medicine; Artificial intelligence; Computer vision; Telecommunications; Physics","score_opus":0.07941163916410199,"score_gpt":0.3581418880593734,"score_spread":0.2787302488952714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097289530","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11279058,0.020455245,0.1549206,0.6218159,0.008870691,0.0016617167,0.0003253145,0.0015527795,0.077607065],"genre_scores_gemma":[0.7538597,0.016712204,0.14509387,0.06999506,0.003710703,0.0014840588,0.00030405875,0.000516033,0.0083243],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.8669583,0.08530711,0.011305174,0.0066743037,0.025789909,0.0039651133],"domain_scores_gemma":[0.5149831,0.31270298,0.02370549,0.03120482,0.092465945,0.024937736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.15558806,0.00068678346,0.0009994732,0.0038748002,0.0029599285,0.016564328,0.003632642,0.004505806,0.009574436],"category_scores_gemma":[0.29616356,0.00064521685,0.0008720808,0.0022014324,0.011329665,0.017963821,0.018319337,0.008141603,0.0035189246],"study_design_candidate":"not_applicable","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":[0.00019167532,0.0005919988,0.013340054,0.003278737,0.00007048416,0.00092490733,0.10476671,0.00033336473,0.0032344335,0.016871005,0.047950074,0.8084465],"study_design_scores_gemma":[0.0002488887,0.0016766777,0.029976174,0.026731975,0.00018090382,0.002776197,0.31685585,0.0038302985,0.0068777846,0.14466484,0.46573168,0.0004487741],"about_ca_topic_score_codex":0.001218694,"about_ca_topic_score_gemma":0.00087179913,"teacher_disagreement_score":0.15558806,"about_ca_system_score_codex":0.0059929118,"about_ca_system_score_gemma":0.023795104,"threshold_uncertainty_score":0.8228381},"labels":[],"label_agreement":null},{"id":"W3107960981","doi":"10.3389/fdgth.2020.575951","title":"Ready for Prime Time? Using Normalization Process Theory to Evaluate Implementation Success of Personal Health Records Designed for Decision Making","year":2020,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research; College of Engineering, Michigan State University; Michigan State University; Diabetes Action Research and Education Foundation","keywords":"Psychology; Normalization (sociology); Applied psychology; Health care; Psychological intervention; Inter-rater reliability; Cognition; Qualitative property; Qualitative research; Social psychology; Knowledge management; Computer science; Sociology; Developmental psychology; Rating scale; Political science","score_opus":0.22880751985301376,"score_gpt":0.5089242897726448,"score_spread":0.2801167699196311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107960981","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":[0.98553956,0.00019571156,0.004826017,0.0006978128,0.00005212372,0.0012330649,0.00010690483,0.000042229916,0.0073065464],"genre_scores_gemma":[0.992607,0.00013733593,0.0052179163,0.00015344661,0.000016771433,0.00091413234,0.00008117337,0.000023726496,0.00084855733],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9615652,0.02450517,0.0024492014,0.0017666686,0.0076412433,0.002072494],"domain_scores_gemma":[0.88233894,0.08007678,0.016377946,0.0053374707,0.012171039,0.0036978947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05690124,0.00045733334,0.0007271684,0.002191641,0.0013628737,0.0050828867,0.0012567939,0.0011598245,0.0044214185],"category_scores_gemma":[0.16178656,0.00047505661,0.0015073265,0.0017293469,0.0030767939,0.006558033,0.0032166003,0.002457716,0.0011065206],"study_design_candidate":"qualitative","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":[0.002644409,0.0063550062,0.5648758,0.001067426,0.00044034809,0.00023392019,0.08327347,0.0012754574,0.0016605975,0.0098081045,0.002355498,0.32600993],"study_design_scores_gemma":[0.0007476824,0.028237088,0.77138966,0.0016272467,0.0006407097,0.0005386204,0.13171555,0.017439993,0.012750354,0.012231809,0.0223771,0.00030422813],"about_ca_topic_score_codex":0.0022836982,"about_ca_topic_score_gemma":0.0015416772,"teacher_disagreement_score":0.05690124,"about_ca_system_score_codex":0.002863464,"about_ca_system_score_gemma":0.004359765,"threshold_uncertainty_score":0.3009261},"labels":[],"label_agreement":null},{"id":"W3117069067","doi":"10.3389/fdgth.2020.600604","title":"Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women","year":2020,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Medicine; Pelvic pain; Pain catastrophizing; Physical therapy; Endometriosis; Anxiety; Body mass index; Irritable bowel syndrome; Chronic pain; Patient Health Questionnaire; Internal medicine; Psychiatry; Surgery","score_opus":0.01579215085690175,"score_gpt":0.2843779450275585,"score_spread":0.26858579417065676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117069067","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":[0.99041206,0.00064845814,0.006604862,0.0004320738,0.0000370116,0.000043092547,0.0003912268,0.00004951849,0.0013817317],"genre_scores_gemma":[0.9967109,0.0001287885,0.002455341,0.00006545846,0.00003522702,0.000026681666,0.00038409015,0.0000065277327,0.0001870994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988807,0.00046295102,0.00006860912,0.00025299395,0.0001778372,0.00015704887],"domain_scores_gemma":[0.9975126,0.0014973741,0.00035119566,0.00023389055,0.00027949768,0.0001255229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017715936,0.00036162333,0.0005442268,0.0010580135,0.00047820882,0.00092848437,0.0003458033,0.0003663595,0.0010446636],"category_scores_gemma":[0.007798182,0.00019985125,0.00084479694,0.0014562946,0.00030739093,0.0005648524,0.00070800894,0.00083957834,0.00017125627],"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":[0.0003031138,0.00014332154,0.9407957,0.000055780707,0.00028141798,0.00024361965,0.0006679149,0.0018632407,0.0017904374,0.0004220555,0.00074219564,0.05269121],"study_design_scores_gemma":[0.000015604954,0.0002297161,0.96523327,0.00002528573,0.00023653162,0.00036785766,0.0005608488,0.029608442,0.00056158664,0.0016237082,0.0015154411,0.000021732112],"about_ca_topic_score_codex":0.0028691483,"about_ca_topic_score_gemma":0.0044949367,"teacher_disagreement_score":0.0028691483,"about_ca_system_score_codex":0.00030208705,"about_ca_system_score_gemma":0.00063294894,"threshold_uncertainty_score":0.0093691945},"labels":[],"label_agreement":null},{"id":"W3118015621","doi":"10.3389/fdgth.2020.610956","title":"Impact of Data Transformation: An ECG Heartbeat Classification Approach","year":2020,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Qatar National Research Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Heartbeat; Transformation (genetics); Artificial intelligence; Pattern recognition (psychology); Computer science; Feature (linguistics); SIGNAL (programming language)","score_opus":0.12358157354457235,"score_gpt":0.3825734407484306,"score_spread":0.25899186720385825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118015621","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14318424,0.0006214386,0.8474718,0.0008945532,0.00024960842,0.0004155091,0.0006067854,0.0024531188,0.004102913],"genre_scores_gemma":[0.6712881,0.0004960804,0.32341203,0.0001943053,0.000112966394,0.00020859597,0.0016294883,0.00016727159,0.0024911219],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985611,0.00039815067,0.00014246682,0.00027760852,0.0005373853,0.00008333436],"domain_scores_gemma":[0.99786973,0.00083444687,0.00015378646,0.00035814237,0.0007294129,0.000054416556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017364499,0.00070364476,0.0004823299,0.0011647863,0.00024766556,0.0013307141,0.0006231136,0.00044555828,0.0016472137],"category_scores_gemma":[0.0066237403,0.00013472118,0.0007607435,0.0014825375,0.00043780764,0.0011416924,0.0008231508,0.00094859325,0.0010609946],"study_design_candidate":"simulation_or_modeling","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":[0.0008907172,0.0004663283,0.009176841,0.00020740945,0.000116679614,0.0002018594,0.0001907008,0.02395685,0.036469348,0.003561004,0.002472009,0.9222904],"study_design_scores_gemma":[0.00011337431,0.0013554816,0.025350748,0.00007951761,0.00020557214,0.00073831674,0.000568484,0.8566403,0.08582143,0.011861385,0.017171804,0.00009364345],"about_ca_topic_score_codex":0.001403014,"about_ca_topic_score_gemma":0.0009917043,"teacher_disagreement_score":0.0017364499,"about_ca_system_score_codex":0.0003662413,"about_ca_system_score_gemma":0.0008448947,"threshold_uncertainty_score":0.009183347},"labels":[],"label_agreement":null},{"id":"W3122800929","doi":"10.3389/fdgth.2020.610837","title":"Telemedicine in Arab Countries: Innovation, Research Trends, and Way Forward","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":34,"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":"National Natural Science Foundation of China; King Abdullah University of Science and Technology; King Saud University; Natural Sciences and Engineering Research Council of Canada; European Commission; National Institutes of Health; National Science Foundation","keywords":"Telemedicine; Context (archaeology); Health care; Digital health; Developing country; Scientometrics; Diversification (marketing strategy); Digital library; Geography; Political science; Library science; Economic growth; Business; Computer science; Marketing","score_opus":0.04652273640043002,"score_gpt":0.4015732505906983,"score_spread":0.3550505141902683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122800929","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40126452,0.49591866,0.0023578035,0.05245234,0.0011247265,0.00023980724,0.003833127,0.00007079845,0.042738236],"genre_scores_gemma":[0.7800277,0.20921308,0.005026908,0.0021317773,0.00075329625,0.00015446534,0.0014071789,0.000013854154,0.0012717478],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99269205,0.003071438,0.0011672737,0.00062390143,0.0018902723,0.0005551828],"domain_scores_gemma":[0.9426883,0.038096484,0.008688547,0.0008347597,0.0079922695,0.0016996064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016078582,0.0003501015,0.0006175705,0.021651888,0.0012178342,0.0072732954,0.0005286935,0.0012378821,0.005276854],"category_scores_gemma":[0.029571882,0.00017656577,0.0005984115,0.04311613,0.0015281207,0.0056763235,0.0014897337,0.00079246814,0.0006332057],"study_design_candidate":"not_applicable","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":[0.00043542986,0.00023888319,0.23359664,0.026314257,0.0005200679,0.0010697255,0.021666804,0.0008584452,0.0010504227,0.028693542,0.011700591,0.6738551],"study_design_scores_gemma":[0.00009562166,0.00062317424,0.6029174,0.05147526,0.0008047173,0.0038075703,0.13194275,0.0022026126,0.0019216256,0.017333591,0.18669774,0.00017802708],"about_ca_topic_score_codex":0.0040003634,"about_ca_topic_score_gemma":0.00528668,"teacher_disagreement_score":0.021651888,"about_ca_system_score_codex":0.003162619,"about_ca_system_score_gemma":0.008186404,"threshold_uncertainty_score":0.08503264},"labels":[],"label_agreement":null},{"id":"W3135515316","doi":"10.3389/fdgth.2021.639444","title":"Trends in Heart-Rate Variability Signal Analysis","year":2021,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Heart rate variability; Photoplethysmogram; Heartbeat; Heart rate; Autonomic nervous system; Medicine; Pupillary response; Physical medicine and rehabilitation; Audiology; Psychology; Blood pressure; Computer science; Neuroscience; Internal medicine; Computer vision; Pupil","score_opus":0.03307004266673504,"score_gpt":0.3439598072826647,"score_spread":0.31088976461592965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135515316","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29412797,0.4616955,0.11519903,0.016549405,0.007895435,0.0005669943,0.03723778,0.0025665455,0.064161435],"genre_scores_gemma":[0.7277284,0.16861957,0.051567566,0.0033651916,0.0071599986,0.0007835263,0.027977392,0.00055367005,0.012244572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975007,0.0003958487,0.00038179764,0.0006405207,0.0009850349,0.00009601133],"domain_scores_gemma":[0.99155265,0.0028290146,0.0017719787,0.00044415164,0.0032636046,0.00013858761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003139987,0.00048268453,0.0006052693,0.0044364454,0.00023254311,0.001969371,0.0005840426,0.00061581837,0.0034204635],"category_scores_gemma":[0.01328948,0.00013045009,0.0007938354,0.006264676,0.00034040824,0.001540743,0.00053589314,0.0012117479,0.0018215585],"study_design_candidate":"not_applicable","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":[0.00042427826,0.00010213216,0.11773897,0.005381612,0.0012507333,0.00037868074,0.0011408954,0.0014994892,0.009509053,0.006954143,0.0317576,0.8238624],"study_design_scores_gemma":[0.000036933834,0.0008426167,0.6347012,0.0028914115,0.0008428844,0.003085305,0.0015316718,0.005809151,0.0072442507,0.010484389,0.33235386,0.00017624113],"about_ca_topic_score_codex":0.0019546184,"about_ca_topic_score_gemma":0.0016938355,"teacher_disagreement_score":0.0044364454,"about_ca_system_score_codex":0.00058835273,"about_ca_system_score_gemma":0.00066875876,"threshold_uncertainty_score":0.016606033},"labels":[],"label_agreement":null},{"id":"W3158800491","doi":"10.3389/fdgth.2021.645805","title":"Psychometric Properties of a Chatbot Version of the PHQ-9 With Adults and Older Adults","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Patient Health Questionnaire; Medicine; Depression (economics); Psychometrics; Clinical psychology; Internal consistency; Sample (material); Depressive symptoms; Psychiatry; Artificial intelligence; Computer science; Anxiety","score_opus":0.01448323253308452,"score_gpt":0.2863711842142765,"score_spread":0.27188795168119195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158800491","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":[0.99698883,0.00009861198,0.00042216887,0.00015152586,0.000028275392,0.00037636614,0.0004706096,0.000021635316,0.0014420444],"genre_scores_gemma":[0.9962908,0.00013109087,0.0015543506,0.00013136784,0.000023990415,0.0004791053,0.0007821664,0.000007989453,0.0005991307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693406,0.0011299602,0.00037232437,0.00030384026,0.0011168213,0.0001430228],"domain_scores_gemma":[0.9844359,0.0074837413,0.0028891463,0.0008403411,0.0033568088,0.0009940354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010231209,0.0003365924,0.00042690034,0.00076639175,0.0005903946,0.0007774345,0.00058455573,0.00065347075,0.0023978848],"category_scores_gemma":[0.03243337,0.00031270165,0.00089982146,0.00065111584,0.00039600077,0.0009891032,0.0011666034,0.0009049566,0.0005456876],"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":[0.00066098355,0.00083801226,0.96381485,0.00009595545,0.00018439029,0.00007263414,0.0018431989,0.0003433845,0.00049030076,0.000068289315,0.0012699238,0.030318124],"study_design_scores_gemma":[0.00007786807,0.0009006306,0.99581796,0.000048535057,0.00004449064,0.00013293375,0.0008108826,0.0010834547,0.00017283631,0.000069690344,0.00082722446,0.000013474794],"about_ca_topic_score_codex":0.0044840383,"about_ca_topic_score_gemma":0.0058175432,"teacher_disagreement_score":0.010231209,"about_ca_system_score_codex":0.0005720793,"about_ca_system_score_gemma":0.00068133185,"threshold_uncertainty_score":0.05410844},"labels":[],"label_agreement":null},{"id":"W3165983068","doi":"10.3389/fdgth.2021.667016","title":"The Impact of Digital Therapeutics on Current Health Technology Assessment Frameworks","year":2021,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reimbursement; Nice; Health technology; Excellence; Health care; Agency (philosophy); Government (linguistics); Business; Public relations; Medicine; Political science; Economic growth; Economics","score_opus":0.3686635750540574,"score_gpt":0.5368717441085361,"score_spread":0.16820816905447872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165983068","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019315964,0.79289997,0.02287074,0.13999413,0.0035820366,0.0013533724,0.001876146,0.0003162232,0.03517586],"genre_scores_gemma":[0.08477072,0.6621209,0.14131528,0.09422015,0.0050994135,0.006276808,0.0029321893,0.0004769716,0.002787541],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.58525294,0.22645336,0.0792514,0.010898967,0.09383842,0.004304863],"domain_scores_gemma":[0.21807069,0.6446366,0.034769874,0.015633618,0.0840554,0.0028339103],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.26058912,0.0018611061,0.0040943064,0.024757775,0.0024851689,0.023790104,0.0075890543,0.009028309,0.0048517366],"category_scores_gemma":[0.55365336,0.0018815427,0.0066308123,0.02503454,0.009418656,0.023427732,0.008802481,0.011800208,0.0016252085],"study_design_candidate":"theoretical_or_conceptual","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":[0.00013737561,0.000112746,0.00204236,0.08925675,0.0009690248,0.0002565117,0.0030992797,0.0029093293,0.00024961866,0.2376337,0.0994948,0.5638385],"study_design_scores_gemma":[0.00012334342,0.00015634358,0.0027135527,0.2454367,0.0014574296,0.00046254732,0.0015241974,0.0019944455,0.0005702526,0.11412367,0.63125646,0.0001810617],"about_ca_topic_score_codex":0.013396883,"about_ca_topic_score_gemma":0.014037765,"teacher_disagreement_score":0.7394109,"about_ca_system_score_codex":0.022583002,"about_ca_system_score_gemma":0.067007534,"threshold_uncertainty_score":0.91182524},"labels":[],"label_agreement":null},{"id":"W3195712307","doi":"10.3389/fdgth.2021.714813","title":"The Internet-Based Conversational Engagement Clinical Trial (I-CONECT) in Socially Isolated Adults 75+ Years Old: Randomized Controlled Trial Protocol and COVID-19 Related Study Modifications","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Randomized controlled trial; Montreal Cognitive Assessment; Cognition; Clinical trial; Psychology; Intervention (counseling); Medicine; Clinical psychology; Physical therapy; Psychiatry; Cognitive impairment; Internal medicine","score_opus":0.07644932485234429,"score_gpt":0.45351077552198876,"score_spread":0.37706145066964447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195712307","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017078787,0.00083545235,0.0021237317,0.000731119,0.00070105266,0.97368544,0.002331284,0.00024446647,0.0022685651],"genre_scores_gemma":[0.013575088,0.00024309644,0.003145588,0.00044568916,0.00010812635,0.9812081,0.0003011222,0.0000115142875,0.00096164574],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.98900294,0.0075763334,0.0009469915,0.00088073313,0.0007850835,0.0008079518],"domain_scores_gemma":[0.9948118,0.0017203636,0.0010972067,0.0005543708,0.0008983128,0.0009180156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016757771,0.0043082866,0.0048148246,0.0014936563,0.0020827607,0.0023618268,0.0024772142,0.0053438568,0.0357267],"category_scores_gemma":[0.016561337,0.0017222253,0.0027251847,0.001630746,0.0022839883,0.0026820912,0.0012855307,0.0050126906,0.0052983854],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.944845,0.012443048,0.0006536992,0.008114393,0.0013410011,0.00011831157,0.00023512689,0.00060776575,0.0015113035,0.0017068749,0.011259982,0.017163439],"study_design_scores_gemma":[0.97442573,0.017412912,0.00091740163,0.00042717796,0.00041540194,0.00002482607,0.000038446968,0.00056213746,0.00022175972,0.000768135,0.004759844,0.000026311836],"about_ca_topic_score_codex":0.0014904736,"about_ca_topic_score_gemma":0.0037529205,"teacher_disagreement_score":0.0357267,"about_ca_system_score_codex":0.0019554547,"about_ca_system_score_gemma":0.0064777904,"threshold_uncertainty_score":0.119517684},"labels":[],"label_agreement":null},{"id":"W3201596425","doi":"10.3389/fdgth.2021.724997","title":"Validation of SHOEBOX QuickTest Hearing Loss Screening Tool in Individuals With Cognitive Impairment","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agricultural Research Institute of Ontario; University of Ottawa; Bruyère","funders":"Government of Canada","keywords":"Audiology; Hearing loss; Pure tone audiometry; Cognitive impairment; Audiometry; Dementia; Cognition; Psychology; Medicine; Psychiatry; Internal medicine","score_opus":0.030864733822487493,"score_gpt":0.2961931789109865,"score_spread":0.265328445088499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201596425","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":[0.9969085,0.0002485123,0.0009725703,0.000052999556,0.00003092056,0.00027951252,0.0005719259,0.000023245588,0.00091191643],"genre_scores_gemma":[0.9941896,0.00014761975,0.0037250048,0.00012079159,0.000019688676,0.00021771142,0.0009603854,0.0000038041815,0.00061538833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811804,0.00051331514,0.00023574055,0.00022170498,0.0007543255,0.00015687809],"domain_scores_gemma":[0.9959579,0.00088435446,0.0006230473,0.00022224251,0.0021102459,0.0002021861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004015708,0.000464743,0.00031948308,0.0010044795,0.00033962022,0.00056948053,0.00075250363,0.0005402165,0.0009339592],"category_scores_gemma":[0.008329954,0.00019359637,0.00046514723,0.00036708108,0.00031935336,0.000351484,0.00063450244,0.00028926067,0.00042795303],"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":[0.0004131183,0.00024383792,0.9800909,0.00008173563,0.00006622512,0.00008006045,0.00038971784,0.00018012225,0.001904983,0.000029245191,0.00042027017,0.016099758],"study_design_scores_gemma":[0.0000683695,0.0010244326,0.99465585,0.000064652595,0.000055530978,0.00038017196,0.00036223524,0.0009373445,0.0013740681,0.000021534377,0.0010417557,0.000014081839],"about_ca_topic_score_codex":0.015258147,"about_ca_topic_score_gemma":0.030034166,"teacher_disagreement_score":0.015258147,"about_ca_system_score_codex":0.0004897558,"about_ca_system_score_gemma":0.0010401292,"threshold_uncertainty_score":0.030338645},"labels":[],"label_agreement":null},{"id":"W3203140867","doi":"10.3389/fdgth.2021.725088","title":"The Sociotechnical Ethics of Digital Health: A Critique and Extension of Approaches From Bioethics","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Sociotechnical system; Bioethics; Engineering ethics; Digital health; Health care; Perspective (graphical); Government (linguistics); Sociology; Knowledge management; Public relations; Political science; Engineering; Computer science","score_opus":0.15405257127706118,"score_gpt":0.43132045453699536,"score_spread":0.2772678832599342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203140867","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009976082,0.028209886,0.122593366,0.64490646,0.0023899602,0.00014283632,0.000059480833,0.000078732446,0.1916432],"genre_scores_gemma":[0.7954129,0.028324604,0.05311619,0.09261464,0.010501071,0.001344401,0.00006186858,0.00022588731,0.018398449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.919428,0.055159308,0.0028356637,0.004040942,0.016583867,0.0019521647],"domain_scores_gemma":[0.8590798,0.123230696,0.0037882905,0.005750551,0.0063644485,0.0017862605],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.054220438,0.0013343863,0.0016607224,0.0071237856,0.008655029,0.021044496,0.003919579,0.017155357,0.0027437755],"category_scores_gemma":[0.055340506,0.0007161106,0.0014295073,0.004890058,0.18024462,0.020083375,0.014950223,0.017298207,0.0007194576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022183954,0.0000058160367,0.00003725163,0.000052545343,0.0000019396302,0.00002295444,0.003211313,0.00011712901,0.000015803627,0.9935835,0.0008525287,0.0020969955],"study_design_scores_gemma":[0.000009184103,0.000009050499,0.00009909253,0.00033157927,0.000003143696,0.00007403118,0.0022888726,0.00043010022,0.000064432854,0.9508704,0.045810107,0.00001003633],"about_ca_topic_score_codex":0.0040056603,"about_ca_topic_score_gemma":0.0026206705,"teacher_disagreement_score":0.991345,"about_ca_system_score_codex":0.014660845,"about_ca_system_score_gemma":0.016534874,"threshold_uncertainty_score":0.28674853},"labels":[],"label_agreement":null},{"id":"W3203370192","doi":"10.3389/fdgth.2021.721898","title":"A “Not So Quiet” Revolution: Systemic Benefits and Challenges of Telehealth in the Context of COVID-19 in Quebec (Canada)","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cégep de Lévis; Université Laval; Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Telehealth; Context (archaeology); Software deployment; Business; Public relations; Coronavirus disease 2019 (COVID-19); Equity (law); Service delivery framework; Pandemic; Health care; Political science; Remuneration; Service (business); Telemedicine; Medicine; Marketing; Engineering; Geography; Finance","score_opus":0.040767153879007596,"score_gpt":0.31363308875324825,"score_spread":0.27286593487424066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203370192","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":[0.6633227,0.009762771,0.002478289,0.19437155,0.0004623199,0.00012750176,0.00065170485,0.000065641914,0.12875755],"genre_scores_gemma":[0.9817089,0.0023845027,0.00048329827,0.0061636367,0.000038767444,0.000023479719,0.000065539745,0.000019587045,0.009112336],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9976513,0.000906859,0.0000378852,0.00015437281,0.00035851702,0.00089100224],"domain_scores_gemma":[0.9968009,0.0010943585,0.00023666554,0.000069636495,0.0007886317,0.0010097108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022567282,0.00026363565,0.000219151,0.00062594085,0.01891178,0.0109595675,0.0013672893,0.0021214949,0.0041736793],"category_scores_gemma":[0.0036773626,0.00017432179,0.00023894438,0.0017681943,0.0137533,0.0030145696,0.0037417926,0.0030262535,0.00017165778],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016504615,0.00015036856,0.047556497,0.00061422226,0.000034833123,0.0055180825,0.59888977,0.0016976253,0.0019315376,0.18099788,0.07458806,0.08785615],"study_design_scores_gemma":[0.000014199372,0.00005689116,0.042674158,0.0006310904,0.000025778743,0.00044102612,0.7360159,0.00084855704,0.0004286398,0.0038448428,0.21492937,0.00008963604],"about_ca_topic_score_codex":0.9900193,"about_ca_topic_score_gemma":0.9939931,"teacher_disagreement_score":0.88156545,"about_ca_system_score_codex":0.11843457,"about_ca_system_score_gemma":0.106918946,"threshold_uncertainty_score":0.859307},"labels":[],"label_agreement":null},{"id":"W3206941524","doi":"10.3389/fdgth.2021.730951","title":"Developing Medical Technologies for Low-Resource Settings: Lessons From a Wireless Wearable Vital Signs Monitor–neoGuard","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"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":"Grand Challenges Canada","keywords":"Vital signs; Wearable computer; Commercialization; Health technology; Wireless; Resource (disambiguation); Health care; Wearable technology; Computer science; Key (lock); Business; Risk analysis (engineering); Medicine; Computer security; Telecommunications; Marketing; Political science; Embedded system","score_opus":0.032637011776016946,"score_gpt":0.38928536509620715,"score_spread":0.3566483533201902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206941524","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10257186,0.030953677,0.057682734,0.67334074,0.0040781246,0.00046495648,0.00011034484,0.00043415406,0.13036348],"genre_scores_gemma":[0.5864169,0.073064424,0.18185572,0.08313637,0.0026768392,0.0004596381,0.00014713695,0.0005875988,0.07165536],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9950546,0.0032704973,0.00014788084,0.00020730608,0.00093674153,0.0003829023],"domain_scores_gemma":[0.98376346,0.011881613,0.00033715638,0.0004830991,0.0012041078,0.0023305714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013130419,0.0004837029,0.00026891247,0.0006302077,0.0022789682,0.0059653763,0.0015470963,0.0035664232,0.0031792042],"category_scores_gemma":[0.016249105,0.00028578783,0.0004925247,0.0004337727,0.006718676,0.009469741,0.0053206705,0.006654196,0.0016400979],"study_design_candidate":"bench_or_experimental","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":[0.00015112828,0.0010605662,0.008041894,0.0022149128,0.000037641446,0.004300976,0.12323251,0.001176688,0.0057556797,0.11955563,0.16334462,0.57112765],"study_design_scores_gemma":[0.000057887082,0.0009098213,0.0027480545,0.0017095323,0.000029693603,0.004212801,0.08658853,0.0010686335,0.00368697,0.050495744,0.8483968,0.00009547271],"about_ca_topic_score_codex":0.0015181683,"about_ca_topic_score_gemma":0.0038293079,"teacher_disagreement_score":0.013130419,"about_ca_system_score_codex":0.0015619047,"about_ca_system_score_gemma":0.004459931,"threshold_uncertainty_score":0.06944108},"labels":[],"label_agreement":null},{"id":"W3207578200","doi":"10.3389/fdgth.2021.688982","title":"An Integrative Review on the Feasibility and Acceptability of Delivering an Online Training and Mentoring Module to Volunteers Working in Community Organizations","year":2021,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of British Columbia, Okanagan Campus; University of British Columbia; Dalhousie University","funders":"Canadian Institutes of Health Research; Cancer Research Institute","keywords":"Thematic analysis; Medical education; Training (meteorology); Psychology; Health care; Medicine; Nursing; Qualitative research; Political science","score_opus":0.15063433097232348,"score_gpt":0.48911092837653297,"score_spread":0.3384765974042095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207578200","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028057199,0.99393046,0.0003908641,0.00063509966,0.00016773988,0.0004407499,0.00013782809,0.000009469665,0.0014820192],"genre_scores_gemma":[0.0135873,0.9835384,0.0015280866,0.00041964473,0.000062333114,0.00064868067,0.00009672635,0.0000051184047,0.00011358997],"study_design_codex":"systematic_review","study_design_gemma":"qualitative","domain_scores_codex":[0.9858468,0.0063866936,0.004022749,0.0006513448,0.002799016,0.00029328608],"domain_scores_gemma":[0.9050117,0.078615606,0.007197183,0.0009810517,0.007559924,0.00063459243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015912648,0.0008931865,0.0037121028,0.010905871,0.0010438926,0.00452246,0.0022747458,0.0018210523,0.0028485574],"category_scores_gemma":[0.07519328,0.0007746528,0.0038646797,0.011876142,0.0010847176,0.0034332713,0.0018280073,0.0014059426,0.00031180232],"study_design_candidate":"qualitative","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":[0.00012083921,0.000067273766,0.0009492864,0.81686914,0.0016887996,0.00016119772,0.0022110557,0.00011469383,0.0002990548,0.0007780889,0.0019781187,0.17476234],"study_design_scores_gemma":[0.000051254436,0.0003010076,0.0050086686,0.93697095,0.011403701,0.0004373134,0.0025242025,0.000089557165,0.00032158024,0.00032901042,0.042526785,0.000035969984],"about_ca_topic_score_codex":0.009797467,"about_ca_topic_score_gemma":0.024334276,"teacher_disagreement_score":0.015912648,"about_ca_system_score_codex":0.004571446,"about_ca_system_score_gemma":0.01920907,"threshold_uncertainty_score":0.08415514},"labels":[],"label_agreement":null},{"id":"W3209554038","doi":"10.3389/fdgth.2021.749758","title":"Using Digital Speech Assessments to Detect Early Signs of Cognitive Impairment","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Ontario Centre of Innovation; Ontario Brain Institute","keywords":"Cognition; Cognitive decline; Medical diagnosis; Audiology; Montreal Cognitive Assessment; Cognitive impairment; Disease; Psychology; Medicine; Dementia; Psychiatry; Internal medicine; Pathology","score_opus":0.03782719814449125,"score_gpt":0.38415903287818004,"score_spread":0.3463318347336888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209554038","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":[0.9939633,0.0011513021,0.0017409578,0.000056009318,0.000015858444,0.00011916687,0.00035926147,0.000028294195,0.00256582],"genre_scores_gemma":[0.9940492,0.0009250709,0.003663162,0.00009681295,0.0000405122,0.00009553806,0.00023869613,0.0000038496255,0.00088724523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939287,0.00021775452,0.00007844622,0.00010995395,0.0001554354,0.000045503744],"domain_scores_gemma":[0.9982601,0.000605293,0.0005785323,0.00008825354,0.0003640584,0.00010380855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010490353,0.0004445687,0.00033092822,0.0015864605,0.00022032847,0.0007426268,0.00024984946,0.00040008288,0.001193368],"category_scores_gemma":[0.003821772,0.000111035784,0.00019746028,0.0005105931,0.0002767578,0.0005658104,0.00052047236,0.00023310697,0.00034890466],"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":[0.00096918,0.0008391387,0.76739204,0.000417103,0.00019442372,0.00021900669,0.0021921631,0.00033849408,0.015681911,0.00014098811,0.00071793987,0.21089765],"study_design_scores_gemma":[0.0000361815,0.001639604,0.99155444,0.00007009587,0.000070411974,0.0006067264,0.0006869642,0.000641327,0.0035278199,0.00018865986,0.0009539163,0.000023887114],"about_ca_topic_score_codex":0.0018135847,"about_ca_topic_score_gemma":0.004481536,"teacher_disagreement_score":0.0018135847,"about_ca_system_score_codex":0.0001843156,"about_ca_system_score_gemma":0.0001929499,"threshold_uncertainty_score":0.0055479407},"labels":[],"label_agreement":null},{"id":"W3211354811","doi":"10.3389/fdgth.2021.770096","title":"Smartphones and Video Cameras: Future Methods for Blood Pressure Measurement","year":2021,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Blood pressure; Artificial intelligence; Video camera; Computer vision; Cardiovascular health; Medicine; Disease; Internal medicine","score_opus":0.03738855119585756,"score_gpt":0.33332871433159095,"score_spread":0.2959401631357334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211354811","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019686944,0.995333,0.00097013504,0.0007051205,0.0005367506,0.00002041308,0.00004945709,0.000029562612,0.0021586544],"genre_scores_gemma":[0.0012142836,0.9944239,0.0016886392,0.0004919589,0.0004630345,0.000029070578,0.00007521309,0.0000058760734,0.001608021],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916005,0.0001769553,0.000099489625,0.00012616177,0.0003875139,0.000049899398],"domain_scores_gemma":[0.998276,0.0009594481,0.00015672286,0.000039167975,0.0005028891,0.00006578671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511296,0.001180363,0.00132054,0.0032116706,0.0003002168,0.0015615186,0.001192368,0.0021257123,0.007931238],"category_scores_gemma":[0.0019987442,0.0004624466,0.0010791693,0.002140802,0.00065350125,0.0033985062,0.0010170552,0.002557908,0.00396275],"study_design_candidate":"not_applicable","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":[0.00006332306,0.00006131496,0.00022414289,0.01777965,0.00007148695,0.00013757989,0.00008870059,0.00016997567,0.002917388,0.005008985,0.020558499,0.9529191],"study_design_scores_gemma":[0.000019025505,0.00024936715,0.0012203025,0.006795382,0.00013264723,0.0014069513,0.00015339786,0.00028316697,0.0016134707,0.003985286,0.9840815,0.00005939874],"about_ca_topic_score_codex":0.0010524151,"about_ca_topic_score_gemma":0.0013341709,"teacher_disagreement_score":0.007931238,"about_ca_system_score_codex":0.0006237024,"about_ca_system_score_gemma":0.0009683066,"threshold_uncertainty_score":0.02653259},"labels":[],"label_agreement":null},{"id":"W3214377684","doi":"10.3389/fdgth.2021.721044","title":"Remote Patient Monitoring Program for COVID-19 Patients Following Hospital Discharge: A Cross-Sectional Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institutes of Health Research; McGill University Health Centre; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Ministère de la Santé; Fonds de Recherche du Québec - Santé; Ministère de la Santé et des Services sociaux","keywords":"Telecare; Telemedicine; Phone; Descriptive statistics; Health care; Quality (philosophy); Coronavirus disease 2019 (COVID-19); Cross-sectional study; Medicine; Medical emergency; Pandemic","score_opus":0.03293233542678848,"score_gpt":0.40784270750104096,"score_spread":0.3749103720742525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214377684","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":[0.9992995,0.00009232168,0.000055420882,0.000054404947,0.0000037344844,0.000100507015,0.00010401787,0.0000020230339,0.0002881721],"genre_scores_gemma":[0.99899477,0.00017626536,0.00019309748,0.00018385348,0.000008252,0.00016709059,0.00013105063,0.0000021869357,0.00014353619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987544,0.0004423911,0.00014838285,0.0001725941,0.00021870645,0.0002635317],"domain_scores_gemma":[0.9965663,0.0009162159,0.0014088893,0.00011791457,0.00037090183,0.0006198199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018394872,0.0002461629,0.0004556728,0.0008257043,0.0011472721,0.0009244032,0.0004937443,0.00080014305,0.0024877351],"category_scores_gemma":[0.0047701485,0.0004379663,0.0005196052,0.0008783562,0.00035795345,0.0010999123,0.00081320107,0.0010752641,0.00040179765],"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":[0.0001314087,0.0010447955,0.9900378,0.00013592145,0.0000287649,0.00036216903,0.004328352,0.00001698721,0.00022574353,0.000023873537,0.00026178642,0.0034023947],"study_design_scores_gemma":[0.00003058751,0.002874117,0.9792954,0.00009637596,0.000041294104,0.00069270754,0.016072452,0.00017028338,0.00010470165,0.00001735958,0.0005858828,0.00001871836],"about_ca_topic_score_codex":0.003594453,"about_ca_topic_score_gemma":0.005050841,"teacher_disagreement_score":0.003594453,"about_ca_system_score_codex":0.0006850643,"about_ca_system_score_gemma":0.0010534016,"threshold_uncertainty_score":0.009728253},"labels":[],"label_agreement":null},{"id":"W3217806006","doi":"10.3389/fdgth.2021.782145","title":"A Scoping Review on Access and Use of Technology in Youth Experiencing Homelessness: Implications for Healthcare","year":2021,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"PsycINFO; CINAHL; Health care; Social media; Mental health; Psychology; Population; MEDLINE; Medicine; Nursing; Gerontology; Public relations; Political science; Psychiatry; Environmental health; Psychological intervention","score_opus":0.22245374812608384,"score_gpt":0.5209836174036877,"score_spread":0.29852986927760383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217806006","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004786744,0.99780124,0.00009758961,0.0005630524,0.00017029543,0.00017513674,0.00014797399,0.000004200138,0.00056187203],"genre_scores_gemma":[0.0027786277,0.9961331,0.00027261564,0.00032644192,0.000057024226,0.00026145353,0.000095651834,0.0000019516674,0.00007314824],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98891675,0.00345257,0.004641627,0.0006125686,0.0020007722,0.00037575566],"domain_scores_gemma":[0.9373197,0.04963667,0.006902416,0.000566648,0.0050541023,0.0005204732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013150503,0.0014979239,0.0052636852,0.020702535,0.0014028997,0.005699967,0.0021295696,0.0035658132,0.0049846764],"category_scores_gemma":[0.06108276,0.0012896887,0.0056792307,0.02417774,0.0016142012,0.0045265662,0.0025529808,0.0020332895,0.00053999486],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006784365,0.000027387976,0.00086995115,0.8827536,0.0014569447,0.00020646113,0.001153767,0.000110340916,0.00013132683,0.0008236489,0.0041714944,0.10822723],"study_design_scores_gemma":[0.000013987104,0.0000355448,0.0013255725,0.97699624,0.0033048564,0.00016366255,0.00053431705,0.000024500114,0.00003995697,0.00021516894,0.017335804,0.000010420216],"about_ca_topic_score_codex":0.014329397,"about_ca_topic_score_gemma":0.031311274,"teacher_disagreement_score":0.020702535,"about_ca_system_score_codex":0.005993582,"about_ca_system_score_gemma":0.023169124,"threshold_uncertainty_score":0.069547296},"labels":[],"label_agreement":null},{"id":"W4200056214","doi":"10.3389/fdgth.2021.801204","title":"Developing a Quality Benchmark for Determining the Credibility of Web Health Information- a Protocol of a Gold Standard Approach","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Credibility; Quality (philosophy); Misinformation; Knowledge management; Protocol (science); Data science; Medicine; Computer security","score_opus":0.06915478684436611,"score_gpt":0.4106840072210206,"score_spread":0.3415292203766545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200056214","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004501344,0.00067165424,0.06586089,0.0022269841,0.00052930735,0.9188157,0.0017774601,0.0002847051,0.0053319917],"genre_scores_gemma":[0.0051402296,0.00022038909,0.11056295,0.00046522458,0.000031976873,0.8825471,0.00061071344,0.000039437095,0.0003819967],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.5443624,0.27662057,0.102163635,0.01124311,0.058030967,0.0075793588],"domain_scores_gemma":[0.43360487,0.19259323,0.039059468,0.061522588,0.2652554,0.007964505],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.47568554,0.0032427977,0.0050499975,0.016648747,0.008302545,0.00938341,0.007969704,0.008169158,0.011680404],"category_scores_gemma":[0.5306717,0.003380991,0.011284546,0.013755052,0.008030506,0.007343883,0.012391315,0.011199576,0.004883343],"study_design_candidate":"not_applicable","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":[0.009703905,0.00592206,0.027215373,0.07808359,0.0019240734,0.0009634336,0.039578814,0.007845425,0.0064269872,0.091493554,0.072592154,0.65825063],"study_design_scores_gemma":[0.017436035,0.017737217,0.059853736,0.1442001,0.00403847,0.000935395,0.029161239,0.026013153,0.04078955,0.08653395,0.57152057,0.0017806645],"about_ca_topic_score_codex":0.005215787,"about_ca_topic_score_gemma":0.0059871483,"teacher_disagreement_score":0.47568554,"about_ca_system_score_codex":0.027305085,"about_ca_system_score_gemma":0.120538406,"threshold_uncertainty_score":0.6465731},"labels":[],"label_agreement":null},{"id":"W4200168485","doi":"10.3389/fdgth.2021.738996","title":"Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial intelligence; Hilbert–Huang transform; Pattern recognition (psychology); Electroencephalography; Classifier (UML); Support vector machine; Discrete wavelet transform; Feature extraction; Wavelet; Dictionary learning; Machine learning; Speech recognition; Wavelet transform; Sparse approximation; Computer vision","score_opus":0.09250322928029131,"score_gpt":0.36688882913654713,"score_spread":0.2743855998562558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200168485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3396731,0.01118004,0.639892,0.0006325657,0.00032385724,0.00028133288,0.00050361303,0.0016971884,0.005816286],"genre_scores_gemma":[0.69674087,0.0050955033,0.29365233,0.00019461186,0.00012882662,0.00016127812,0.0017913119,0.00017367619,0.0020616006],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988172,0.0003189616,0.00013508103,0.00017120605,0.00047429057,0.00008342373],"domain_scores_gemma":[0.9981548,0.0009209609,0.00015873105,0.0001950486,0.0004759144,0.000094518524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287157,0.00090375065,0.0010523144,0.0024196464,0.0001823082,0.00090311543,0.0005425445,0.0006934716,0.00073152955],"category_scores_gemma":[0.004989056,0.00017117203,0.0007710316,0.0013746271,0.00023843028,0.0013016522,0.00075853226,0.0006635127,0.00042959876],"study_design_candidate":"simulation_or_modeling","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":[0.0013730171,0.00045862744,0.011586357,0.0006314415,0.00055147836,0.00018538143,0.00017369594,0.13014713,0.014819161,0.00327233,0.0037424143,0.8330591],"study_design_scores_gemma":[0.000068575784,0.0007985794,0.011890422,0.00007603877,0.00014198004,0.0003529045,0.00019840735,0.9737853,0.008527024,0.001588814,0.0025223375,0.000049711227],"about_ca_topic_score_codex":0.0014717389,"about_ca_topic_score_gemma":0.0014976093,"teacher_disagreement_score":0.0024196464,"about_ca_system_score_codex":0.00026841604,"about_ca_system_score_gemma":0.0005168774,"threshold_uncertainty_score":0.012095809},"labels":[],"label_agreement":null},{"id":"W4205891098","doi":"10.3389/fdgth.2021.841477","title":"Editorial: Responsible Digital Health","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":17,"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","funders":"","keywords":"Digital health; Political science; Health care; Law","score_opus":0.00774616312590984,"score_gpt":0.26681250080454744,"score_spread":0.25906633767863757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205891098","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028900948,0.001253224,0.0000652738,0.029148852,0.96474695,0.00004471769,0.0001013036,0.00010256267,0.004508282],"genre_scores_gemma":[0.0006115189,0.0017620221,0.00009432382,0.020264544,0.9469997,0.00004735709,0.00011061562,0.00006804181,0.03004192],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99591464,0.0005424816,0.00045446577,0.000443773,0.0023061286,0.00033840156],"domain_scores_gemma":[0.9807804,0.0043327385,0.00091835717,0.000716714,0.009581812,0.0036699693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048789885,0.003477175,0.0022630221,0.004103367,0.0033462355,0.007625287,0.003044439,0.011747491,0.07216201],"category_scores_gemma":[0.032273315,0.00092084956,0.0018076529,0.0014328511,0.0020612853,0.0045661335,0.0017151478,0.01070107,0.043951146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010114595,0.000004430364,0.000009466553,0.000048799746,0.0000023501027,0.00003989515,0.0000028198704,0.0000052902938,0.000012282038,0.00008396396,0.9980531,0.001727395],"study_design_scores_gemma":[0.00004198377,0.00001155078,0.00015775183,0.00023876925,0.000016862201,0.00014370633,0.000030668856,0.00006744205,0.00006390207,0.0004648603,0.998754,0.000008444156],"about_ca_topic_score_codex":0.0025172038,"about_ca_topic_score_gemma":0.0070591816,"teacher_disagreement_score":0.07216201,"about_ca_system_score_codex":0.0032790736,"about_ca_system_score_gemma":0.003987999,"threshold_uncertainty_score":0.24140596},"labels":[],"label_agreement":null},{"id":"W4213058841","doi":"10.3389/fdgth.2022.765993","title":"Evidence of User-Expert Gaps in Health App Ratings and Implications for Practice","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Montréal","funders":"","keywords":"Metric (unit); Mental health; Computer science; Health care; Mobile apps; Internet privacy; Cover (algebra); Applied psychology; Psychology; World Wide Web; Data science; Business; Engineering; Psychiatry; Marketing","score_opus":0.05722401710776776,"score_gpt":0.4515460293713041,"score_spread":0.39432201226353636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213058841","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":[0.94330484,0.009370643,0.011914474,0.010660604,0.00031315436,0.00041338938,0.0008757598,0.000103400875,0.023043787],"genre_scores_gemma":[0.99659497,0.00043500584,0.0019247781,0.00056255754,0.000029344574,0.00011817938,0.00010671731,0.000013813242,0.00021452442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.8123238,0.097168215,0.027883181,0.014526591,0.044534683,0.0035635538],"domain_scores_gemma":[0.25578278,0.6400541,0.046087638,0.016879782,0.037038542,0.004157141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.14497289,0.0002745248,0.0008302879,0.0038991058,0.0015068889,0.0042706183,0.0018243002,0.0014739275,0.003991285],"category_scores_gemma":[0.5123666,0.0006250023,0.0005743637,0.0030547567,0.0037288105,0.0054072514,0.0071287216,0.0014329295,0.0005454978],"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":[0.00080558285,0.00032373087,0.63645685,0.004452115,0.00035160378,0.00037313896,0.14735723,0.00030425278,0.0006017002,0.0059014275,0.0057941037,0.19727835],"study_design_scores_gemma":[0.00009366776,0.0008360555,0.8428046,0.0058040177,0.00017715515,0.0013739072,0.1177243,0.0034520414,0.0008121834,0.011184118,0.0155207515,0.00021729403],"about_ca_topic_score_codex":0.003942462,"about_ca_topic_score_gemma":0.0050160545,"teacher_disagreement_score":0.14497289,"about_ca_system_score_codex":0.0024777988,"about_ca_system_score_gemma":0.004187898,"threshold_uncertainty_score":0.7666991},"labels":[],"label_agreement":null},{"id":"W4213315310","doi":"10.3389/fdgth.2022.849652","title":"Editorial: Health Technologies and Innovations to Effectively Respond to the Covid-19 Pandemic","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":5,"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":"University of Alberta","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Front (military); Virology; Engineering; Medicine; Mechanical engineering","score_opus":0.026985755866369802,"score_gpt":0.3690505023734464,"score_spread":0.3420647465070766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213315310","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001685356,0.0027065715,0.00010252912,0.031528637,0.9630647,0.000026686215,0.000044940683,0.000058852318,0.0024502256],"genre_scores_gemma":[0.0002240258,0.0023417876,0.00007809755,0.016539404,0.9729638,0.000025507501,0.000024067751,0.00003609846,0.007767258],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99137866,0.0016718699,0.0007542416,0.00082977896,0.0048981644,0.00046730298],"domain_scores_gemma":[0.9611598,0.020857135,0.0015827164,0.00088969537,0.011182754,0.004327913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009908756,0.0049165045,0.004354391,0.004840496,0.005990656,0.013032501,0.004670859,0.02537499,0.024387168],"category_scores_gemma":[0.043235388,0.0013551564,0.0031225486,0.0021665432,0.0039714626,0.0075528896,0.0026030354,0.025671745,0.021936122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011189756,0.00001090513,0.000011568212,0.00012463193,0.0000066053385,0.0000542403,0.000014373017,0.000019846095,0.000019084857,0.00025242576,0.996797,0.0026782076],"study_design_scores_gemma":[0.000056041263,0.000020614816,0.00014245306,0.0006462603,0.000035620462,0.00020316022,0.00004986448,0.00017617315,0.00006706091,0.0018009274,0.99678063,0.000021056157],"about_ca_topic_score_codex":0.0027406772,"about_ca_topic_score_gemma":0.006486745,"teacher_disagreement_score":0.02537499,"about_ca_system_score_codex":0.004723038,"about_ca_system_score_gemma":0.0059133195,"threshold_uncertainty_score":0.08158326},"labels":[],"label_agreement":null},{"id":"W4220925367","doi":"10.3389/fdgth.2022.842661","title":"COVID Alert: Factors Influencing the Adoption of Exposure Notification Apps Among Canadian Residents","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Business; Path analysis (statistics); Contact tracing; Internet privacy; Marketing; Computer science; Medicine","score_opus":0.01912647566389339,"score_gpt":0.2516775121153186,"score_spread":0.2325510364514252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220925367","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":[0.9930924,0.00031196463,0.000337704,0.0012292019,0.000013319589,0.00007611267,0.00059143716,0.000023072773,0.0043246956],"genre_scores_gemma":[0.99652255,0.00049937196,0.0006963469,0.00020476659,0.000005630085,0.000029268183,0.00025822,0.000009949986,0.0017740873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883145,0.00012372337,0.00006403142,0.000115458766,0.00056657026,0.00029880882],"domain_scores_gemma":[0.99415356,0.0011918229,0.0009738519,0.0001616239,0.0024789684,0.001040243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014952979,0.00029559815,0.00025101035,0.0009638352,0.0027137476,0.0018035277,0.0008425215,0.00041368426,0.0036533321],"category_scores_gemma":[0.010264183,0.00021879523,0.0004467881,0.0017364193,0.00091623294,0.0006706113,0.0010058561,0.00078128633,0.00023290301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098285396,0.00014073175,0.9409744,0.0001636498,0.000028369594,0.0002172045,0.021143047,0.00016823478,0.00056224567,0.00045813413,0.002956281,0.033089474],"study_design_scores_gemma":[0.000008432897,0.00010004504,0.95771515,0.00019802799,0.000060708167,0.00013019383,0.033421244,0.0010026788,0.00029679565,0.000108558204,0.0069110324,0.000047074947],"about_ca_topic_score_codex":0.98242515,"about_ca_topic_score_gemma":0.9884272,"teacher_disagreement_score":0.017574847,"about_ca_system_score_codex":0.016674107,"about_ca_system_score_gemma":0.040749524,"threshold_uncertainty_score":0.12097967},"labels":[],"label_agreement":null},{"id":"W4220987270","doi":"10.3389/fdgth.2022.847002","title":"Development of an Offline, Open-Source, Electronic Health Record System for Refugee Care","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"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","funders":"Harvard Business School; Robert Wood Johnson Foundation","keywords":"Usability; Open source; sync; Python (programming language); Health care; Electronic health record; Cloud computing; Health informatics; World Wide Web; Computer science; Medicine; Nursing; Public health; Operating system","score_opus":0.029670961725771723,"score_gpt":0.3888162829408709,"score_spread":0.3591453212150992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220987270","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096460454,0.00030267108,0.6859087,0.0028275845,0.0010216825,0.006848702,0.01153661,0.17706072,0.018032884],"genre_scores_gemma":[0.21167329,0.00040935248,0.73030365,0.0017830434,0.00023245902,0.003021338,0.018366514,0.011162242,0.023048187],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99750805,0.00062507484,0.00033353004,0.00053373096,0.0007840531,0.00021550259],"domain_scores_gemma":[0.9937388,0.001683263,0.00036051904,0.0014157648,0.0017469162,0.0010547019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047723474,0.00057643314,0.00056420045,0.0010607435,0.0007749072,0.0025421446,0.0023198603,0.00085312617,0.016577546],"category_scores_gemma":[0.01212343,0.00052945904,0.0008612563,0.0006314534,0.00054958346,0.0028004583,0.003560282,0.0015634624,0.010239165],"study_design_candidate":"not_applicable","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":[0.002038677,0.002731484,0.02529891,0.0018422144,0.0002837064,0.0032611927,0.006770362,0.004076489,0.08101898,0.010381939,0.13487464,0.72742146],"study_design_scores_gemma":[0.0013214911,0.0031331,0.061519902,0.0015846244,0.00040079036,0.004446078,0.003917812,0.089260265,0.12462701,0.010621964,0.69833493,0.00083211064],"about_ca_topic_score_codex":0.0018865213,"about_ca_topic_score_gemma":0.0017136852,"teacher_disagreement_score":0.016577546,"about_ca_system_score_codex":0.00077157037,"about_ca_system_score_gemma":0.0034361277,"threshold_uncertainty_score":0.055457413},"labels":[],"label_agreement":null},{"id":"W4225326679","doi":"10.3389/fdgth.2022.862466","title":"Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations","year":2022,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute for Aging; University Health Network; University of Toronto; University of Waterloo","funders":"","keywords":"Scopus; CINAHL; Contact tracing; Grey literature; Digital library; Systematic review; Web of science; Coronavirus disease 2019 (COVID-19); World Wide Web; Computer science; Business; Political science; MEDLINE; Medicine","score_opus":0.06314918933934106,"score_gpt":0.34570267230669316,"score_spread":0.2825534829673521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225326679","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024035107,0.9836348,0.0010280281,0.005552477,0.00065749825,0.004255052,0.0014320919,0.000037694685,0.0009988375],"genre_scores_gemma":[0.026241068,0.95726687,0.004390273,0.003029008,0.00017250267,0.007955377,0.0005738481,0.000017596514,0.00035340255],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.94788426,0.022008752,0.019043798,0.002471012,0.007086174,0.0015061086],"domain_scores_gemma":[0.8035444,0.1434023,0.026181439,0.0022239243,0.022633063,0.0020149401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.062442042,0.0027147674,0.011235292,0.02381685,0.0019431369,0.006871463,0.0041302834,0.0039565214,0.007897505],"category_scores_gemma":[0.22040772,0.002607475,0.011322809,0.02128246,0.002251315,0.010297612,0.0039115935,0.0034613966,0.0008224193],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009212925,0.000018795577,0.0011332281,0.96368325,0.0035949112,0.00009803723,0.0009985265,0.000091598355,0.000070336995,0.00038475686,0.002132395,0.027702132],"study_design_scores_gemma":[0.00010204161,0.000054710534,0.001670969,0.9730986,0.01458938,0.0000941258,0.0012977801,0.00006590312,0.00007465531,0.00039900187,0.0085198395,0.000032996202],"about_ca_topic_score_codex":0.021919044,"about_ca_topic_score_gemma":0.053910047,"teacher_disagreement_score":0.062442042,"about_ca_system_score_codex":0.013303562,"about_ca_system_score_gemma":0.07178597,"threshold_uncertainty_score":0.33022904},"labels":[],"label_agreement":null},{"id":"W4226092559","doi":"10.3389/fdgth.2022.814248","title":"Gaming My Way to Recovery: A Systematic Scoping Review of Digital Game Interventions for Young People's Mental Health Treatment and Promotion","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre on Substance Use and Addiction; Centre for Addiction and Mental Health; Université de Montréal; McMaster University; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Mental health; Psychological intervention; Promotion (chess); Mental illness; Psychology; Health promotion; Applied psychology; Medicine; Medical education; Psychiatry; Nursing; Public health; Political science","score_opus":0.05023331573815461,"score_gpt":0.4000191092729522,"score_spread":0.3497857935347976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226092559","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013049284,0.9958918,0.00036354747,0.00029282106,0.00012792429,0.0012866413,0.00024356743,0.000012941709,0.00047571154],"genre_scores_gemma":[0.010357786,0.9858407,0.0011776207,0.00037780407,0.00004596071,0.0018634461,0.0001757578,0.000006842293,0.00015409812],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9915236,0.0032626174,0.003078033,0.00046003368,0.0014003693,0.00027531496],"domain_scores_gemma":[0.9737346,0.02029702,0.0032029229,0.00039273995,0.002070381,0.00030228312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014029445,0.0016592985,0.006624562,0.017060326,0.0012505548,0.0042982427,0.0020221486,0.002099708,0.004114575],"category_scores_gemma":[0.049889527,0.0011907672,0.007258767,0.015027257,0.0012490412,0.0032800168,0.002757865,0.0016466179,0.0003578291],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011454245,0.000026008302,0.00033156507,0.93232465,0.0026088678,0.000083916435,0.00066412217,0.00011167831,0.0001361923,0.00043214922,0.0011318164,0.062034447],"study_design_scores_gemma":[0.000047370813,0.000080820515,0.00088685576,0.9773178,0.011259215,0.00010790717,0.00042398385,0.000053719647,0.000083750165,0.00021063224,0.009513027,0.000014899891],"about_ca_topic_score_codex":0.013292275,"about_ca_topic_score_gemma":0.041773148,"teacher_disagreement_score":0.017060326,"about_ca_system_score_codex":0.0060989,"about_ca_system_score_gemma":0.021231215,"threshold_uncertainty_score":0.07419568},"labels":[],"label_agreement":null},{"id":"W4281753916","doi":"10.3389/fdgth.2022.891634","title":"Evaluating Challenges and Adoption Factors for Active Assisted Living Smart Environments","year":2022,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute for Aging; University Health Network; Public Health Ontario; University of Toronto; University of Waterloo","funders":"","keywords":"Interoperability; Sustainability; Business; Globe; Key (lock); Assisted living; The Internet; Population; Internet of Things; Population ageing; Internet privacy; Process management; Knowledge management; Computer science; Computer security; World Wide Web; Medicine","score_opus":0.16195861733296435,"score_gpt":0.40429259467215,"score_spread":0.24233397733918566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281753916","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039444678,0.9920421,0.00050979696,0.0010104758,0.00013799577,0.00018371409,0.00015361837,0.000006088415,0.002011759],"genre_scores_gemma":[0.025178224,0.9720643,0.0014939834,0.00043653412,0.00006659646,0.00025210035,0.00017758497,0.0000047460876,0.0003258817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99659365,0.0014131117,0.0005610301,0.00026313995,0.0010291769,0.00013987177],"domain_scores_gemma":[0.9863008,0.009655393,0.0012075208,0.0001347829,0.0025406515,0.00016081726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009082432,0.00084065745,0.0018722196,0.0051819496,0.00057011785,0.0026627178,0.00081919174,0.0010349143,0.002330976],"category_scores_gemma":[0.02085058,0.0003100927,0.0023044772,0.005443768,0.0004952807,0.0029034489,0.001278805,0.0011579572,0.00040319143],"study_design_candidate":"not_applicable","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":[0.00010148068,0.00011848137,0.00817739,0.12700477,0.0011868854,0.00010058759,0.0021108387,0.00022811846,0.00020170992,0.006512111,0.0063562132,0.8479014],"study_design_scores_gemma":[0.00010208215,0.00086733425,0.06967869,0.42823982,0.011824342,0.0011353273,0.012129767,0.0010487126,0.001084371,0.0067760297,0.4669136,0.00019993959],"about_ca_topic_score_codex":0.009346588,"about_ca_topic_score_gemma":0.022365896,"teacher_disagreement_score":0.009346588,"about_ca_system_score_codex":0.002492212,"about_ca_system_score_gemma":0.007936661,"threshold_uncertainty_score":0.04803312},"labels":[],"label_agreement":null},{"id":"W4283799797","doi":"10.3389/fdgth.2022.800367","title":"Wearable Biosensors in the Workplace: Perceptions and Perspectives","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"WorkSafe Victoria; WorkSafeBC","keywords":"Wearable computer; Wearable technology; Perception; Biosensor; Nanotechnology; Psychology; Engineering; Materials science; Neuroscience; Embedded system","score_opus":0.0483234133281771,"score_gpt":0.31562130896562335,"score_spread":0.26729789563744627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283799797","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":[0.9838584,0.0018695088,0.0009190845,0.007840439,0.00009934943,0.000026856867,0.000041342868,0.000009400077,0.005335623],"genre_scores_gemma":[0.99628264,0.0013207638,0.0002993701,0.0012705211,0.000036868852,0.000014917872,0.00001400421,0.0000040441582,0.00075686094],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99173135,0.0051153996,0.0003252478,0.0003918888,0.0015194613,0.00091675716],"domain_scores_gemma":[0.9869604,0.005601382,0.0020616287,0.00022499503,0.0023561062,0.0027953992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009109947,0.0003620661,0.00038367673,0.0011950885,0.0041140164,0.0048257145,0.00072889525,0.001668412,0.0019066319],"category_scores_gemma":[0.010265438,0.00036155473,0.00039968436,0.00089040236,0.0046587414,0.0025947776,0.0036490145,0.0020968525,0.00026459963],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006712148,0.00015134038,0.090303116,0.00028464626,0.000023741015,0.0011522366,0.88375986,0.00007535762,0.0024927289,0.0013242572,0.0015083989,0.01885719],"study_design_scores_gemma":[0.000005028678,0.00015695688,0.024153447,0.00022190371,0.000011833301,0.0004688339,0.9661143,0.00011448603,0.00025184944,0.00032382394,0.008146241,0.000031259304],"about_ca_topic_score_codex":0.014224318,"about_ca_topic_score_gemma":0.0107977,"teacher_disagreement_score":0.014224318,"about_ca_system_score_codex":0.0018436849,"about_ca_system_score_gemma":0.0026164649,"threshold_uncertainty_score":0.048178554},"labels":[],"label_agreement":null},{"id":"W4285389684","doi":"10.3389/fdgth.2022.921506","title":"Wearable Sensor Systems for Fall Risk Assessment: A Review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Wearable computer; Inertial measurement unit; Accelerometer; Gyroscope; Computer science; Center of pressure (fluid mechanics); Gait; Cadence; Units of measurement; Gait analysis; Wearable technology; Motion capture; Simulation; Physical medicine and rehabilitation; Engineering; Artificial intelligence; Motion (physics); Medicine; Embedded system","score_opus":0.06502698500957908,"score_gpt":0.4293457519908396,"score_spread":0.3643187669812605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285389684","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038229383,0.9947025,0.0023848587,0.00028160002,0.00052628433,0.00003611861,0.00006299654,0.000048849426,0.0015743325],"genre_scores_gemma":[0.0018488148,0.9937052,0.0025980119,0.00023553376,0.00037198447,0.000046524918,0.00012722232,0.000009439399,0.0010571979],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990809,0.00013136475,0.00016764403,0.00015848198,0.00041487074,0.000046749577],"domain_scores_gemma":[0.9983499,0.0008599929,0.00016256639,0.000051225543,0.00053424126,0.000042035517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013241601,0.0014188733,0.0017479215,0.0030785028,0.0003497317,0.0014434721,0.0015668918,0.0016455624,0.0041868715],"category_scores_gemma":[0.0025168771,0.0005984862,0.0011418386,0.0038194077,0.00052046916,0.0028094184,0.0009574084,0.001302326,0.0028655163],"study_design_candidate":"not_applicable","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":[0.000084654275,0.000093644776,0.00040161476,0.025286872,0.00011313106,0.00016291758,0.00008823125,0.00054986286,0.0034006094,0.00263887,0.018933795,0.9482459],"study_design_scores_gemma":[0.000020215928,0.00048635298,0.0022448439,0.011204841,0.00039097972,0.0017860838,0.00019154236,0.0012462479,0.0027153457,0.0029136061,0.9766957,0.00010436348],"about_ca_topic_score_codex":0.00108749,"about_ca_topic_score_gemma":0.00093044597,"teacher_disagreement_score":0.0041868715,"about_ca_system_score_codex":0.00038066995,"about_ca_system_score_gemma":0.0010417134,"threshold_uncertainty_score":0.0140064955},"labels":[],"label_agreement":null},{"id":"W4289730999","doi":"10.3389/fdgth.2022.932411","title":"An integration engineering framework for machine learning in healthcare","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; Canadian Institute for Advanced Research; University of Toronto; Centre for Global Health Research; Hospital for Sick Children; Public Health Ontario","funders":"","keywords":"System integration; Computer science; Health care; Domain (mathematical analysis); Artificial intelligence; Software engineering; Systems engineering; Engineering","score_opus":0.05817850833940544,"score_gpt":0.3868554759883091,"score_spread":0.32867696764890364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289730999","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00049825653,0.00038691112,0.99387157,0.00084270013,0.00004588058,0.00012083912,0.000031548967,0.00022464577,0.0039776675],"genre_scores_gemma":[0.028508121,0.00068225607,0.9675657,0.00024562833,0.00011961942,0.00058150396,0.00018275095,0.00011302303,0.0020014104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9913401,0.0040226746,0.0009439844,0.000759666,0.0025656694,0.00036793182],"domain_scores_gemma":[0.9939459,0.003245806,0.00040104115,0.0007253733,0.0014044344,0.00027737682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013331884,0.0013749518,0.00079183443,0.0035565794,0.0014104472,0.004728169,0.003300731,0.0022473019,0.0039455607],"category_scores_gemma":[0.010572824,0.0008594237,0.0026056836,0.00239415,0.0039823325,0.005515383,0.005320112,0.0042293635,0.0012062748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010810979,0.00003674725,0.00035156118,0.00020608574,0.000032338474,0.00014839553,0.000608133,0.026577901,0.0005577855,0.9322747,0.0018867834,0.037308708],"study_design_scores_gemma":[0.000024720473,0.00007295274,0.0002839748,0.00040418774,0.000057684232,0.00026132632,0.00026852754,0.20714419,0.0011840299,0.6855735,0.1046817,0.00004321697],"about_ca_topic_score_codex":0.0048012943,"about_ca_topic_score_gemma":0.0034610066,"teacher_disagreement_score":0.013331884,"about_ca_system_score_codex":0.003036475,"about_ca_system_score_gemma":0.005925162,"threshold_uncertainty_score":0.07050663},"labels":[],"label_agreement":null},{"id":"W4291825997","doi":"10.3389/fdgth.2022.929508","title":"The silent trial - the bridge between bench-to-bedside clinical AI applications","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"","keywords":"Clinical trial; Computer science; Artificial intelligence; Standardization; Reliability (semiconductor); Bridge (graph theory); Health care; Medicine; Medical physics; Machine learning; Surgery; Pathology","score_opus":0.17987960062614702,"score_gpt":0.48652184567264983,"score_spread":0.30664224504650284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291825997","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15652749,0.010257534,0.68610567,0.053340644,0.007544103,0.016252156,0.01544279,0.012554155,0.041975424],"genre_scores_gemma":[0.44763216,0.0030505434,0.48013172,0.020033875,0.002038793,0.022992108,0.015294654,0.002738101,0.0060880445],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9044287,0.08147206,0.003844254,0.003813203,0.005685292,0.00075648195],"domain_scores_gemma":[0.7409911,0.1896516,0.009780783,0.03402969,0.018252786,0.0072940276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.14065184,0.0017188486,0.0021614137,0.0012016749,0.0009638274,0.006227867,0.0059711756,0.0036347397,0.011131698],"category_scores_gemma":[0.28141716,0.0011090223,0.0031795716,0.0011316631,0.002651416,0.0059410324,0.0073772874,0.007564859,0.0045085857],"study_design_candidate":"theoretical_or_conceptual","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":[0.025653236,0.004454545,0.07586779,0.006337933,0.0044462346,0.0010657696,0.003207026,0.06959051,0.0076827016,0.0544639,0.17929289,0.5679375],"study_design_scores_gemma":[0.013096624,0.03387087,0.035758726,0.008724311,0.0028050416,0.002109124,0.0020824927,0.32460403,0.02477166,0.21442111,0.33672485,0.0010311888],"about_ca_topic_score_codex":0.0018455489,"about_ca_topic_score_gemma":0.0030875793,"teacher_disagreement_score":0.14065184,"about_ca_system_score_codex":0.0017694666,"about_ca_system_score_gemma":0.008681684,"threshold_uncertainty_score":0.7438469},"labels":[],"label_agreement":null},{"id":"W4292412072","doi":"10.3389/fdgth.2022.932599","title":"Timing errors and temporal uncertainty in clinical databases—A narrative review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":19,"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; Hospital for Sick Children","funders":"","keywords":"Timestamp; Generalizability theory; Computer science; Focus (optics); Data mining; Flexibility (engineering); Causality (physics); Data science; Artificial intelligence; Machine learning; Real-time computing; Psychology; Statistics","score_opus":0.21413378859806906,"score_gpt":0.48307343912785655,"score_spread":0.2689396505297875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292412072","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009643431,0.9988024,0.00026528837,0.00042034202,0.0001060732,0.000018246388,0.0000395897,0.0000036683114,0.000247957],"genre_scores_gemma":[0.002046397,0.9969592,0.00044129346,0.00029724554,0.00012314534,0.000037755442,0.000046178975,0.0000026664563,0.000045987978],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936947,0.0023600378,0.00195884,0.0005214033,0.0013394282,0.00012557594],"domain_scores_gemma":[0.9418827,0.048820812,0.0052028373,0.00075089803,0.0030962604,0.00024642152],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009958467,0.00087868184,0.0022121335,0.0052995943,0.00044308812,0.0031948115,0.0019445857,0.0016618075,0.0025923501],"category_scores_gemma":[0.05477837,0.00067656045,0.0021386438,0.0063979714,0.0010956237,0.0037847564,0.0016244696,0.0017446232,0.0004602122],"study_design_candidate":"not_applicable","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":[0.00016536571,0.00003077747,0.00076409074,0.31427726,0.0014064183,0.0001973023,0.00050453126,0.0011467714,0.00017632288,0.01020719,0.015099916,0.6560241],"study_design_scores_gemma":[0.000058012334,0.00020102966,0.0022885483,0.4914887,0.004951299,0.0017891779,0.0005532987,0.0006136836,0.00041904376,0.007693089,0.48984203,0.00010218212],"about_ca_topic_score_codex":0.0039588637,"about_ca_topic_score_gemma":0.0051743467,"teacher_disagreement_score":0.99004155,"about_ca_system_score_codex":0.0022396583,"about_ca_system_score_gemma":0.009268254,"threshold_uncertainty_score":0.05266601},"labels":[],"label_agreement":null},{"id":"W4292858608","doi":"10.3389/fdgth.2022.946734","title":"Designs, facilitators, barriers, and lessons learned during the implementation of emergency department led virtual urgent care programs in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Hospital for Sick Children; Lakeridge Health; Queen's University; Schwartz/Reisman Emergency Medicine Institute; University of Toronto; Western University; Sunnybrook Health Science Centre; St. Michael's Hospital; Mount Sinai Hospital; Health Sciences Centre; University Health Network; North York General Hospital","funders":"","keywords":"Staffing; Triage; Workflow; Telemedicine; Medicine; Psychological intervention; Medical emergency; Health care; Business; Nursing; Computer science; Political science","score_opus":0.03466284993249551,"score_gpt":0.32733479981267566,"score_spread":0.29267194988018014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292858608","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":[0.9828604,0.0006599791,0.0014431707,0.003525975,0.000056928788,0.0038934369,0.00032352412,0.00008274792,0.00715382],"genre_scores_gemma":[0.98432565,0.0008680543,0.008557083,0.00091387564,0.000017196246,0.0023576198,0.0002955037,0.000026366934,0.0026386909],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.98355156,0.006532742,0.0006771825,0.0008497073,0.0030263981,0.0053623472],"domain_scores_gemma":[0.9612396,0.008143677,0.0023074136,0.0011125891,0.016333403,0.010863471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018180408,0.0005148638,0.00048792057,0.0009589618,0.010030465,0.0030813592,0.0031218897,0.000615556,0.0020890455],"category_scores_gemma":[0.026862044,0.00068844564,0.00055678975,0.0016663572,0.0031968625,0.0013659728,0.0038660234,0.0012453841,0.00013198558],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015970581,0.004461181,0.34243974,0.0039456612,0.00019974833,0.0014416376,0.30197945,0.003822762,0.004913753,0.0029022594,0.014429681,0.31786713],"study_design_scores_gemma":[0.0006195695,0.0044110212,0.61209536,0.0024237747,0.0002771388,0.00015317542,0.31798157,0.0036842339,0.0028466715,0.0007476361,0.054520715,0.00023915274],"about_ca_topic_score_codex":0.9604471,"about_ca_topic_score_gemma":0.9859488,"teacher_disagreement_score":0.86513084,"about_ca_system_score_codex":0.13486914,"about_ca_system_score_gemma":0.32207248,"threshold_uncertainty_score":0.9785487},"labels":[],"label_agreement":null},{"id":"W4294627351","doi":"10.3389/fdgth.2022.932123","title":"From compute to care: Lessons learned from deploying an early warning system into clinical practice","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"Vector Institute","keywords":"Software deployment; Workflow; Computer science; Warning system; Process (computing); Downtime; Health care; Artificial intelligence; Software engineering; Database; Telecommunications","score_opus":0.14911082955341404,"score_gpt":0.4411626072029187,"score_spread":0.2920517776495047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294627351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06873605,0.00689766,0.59641105,0.2562255,0.0026618398,0.0008177819,0.00084896164,0.0046787392,0.06272235],"genre_scores_gemma":[0.45582303,0.008792285,0.5075243,0.015563252,0.0010810246,0.0006552658,0.0010598978,0.00146401,0.008036897],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99069244,0.005803515,0.00044128482,0.0011137612,0.0015213826,0.00042757497],"domain_scores_gemma":[0.94740766,0.035928827,0.0010807606,0.005756873,0.007242385,0.0025835664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016844053,0.0010485847,0.0005297667,0.0011088591,0.00113327,0.006411283,0.0030171745,0.0022424113,0.0046949238],"category_scores_gemma":[0.07096587,0.0008488512,0.00079288887,0.001336175,0.0034215187,0.009760279,0.0031845672,0.006652743,0.0020206913],"study_design_candidate":"observational","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":[0.00039565985,0.00073059765,0.04269765,0.0011565594,0.00016300888,0.00044979274,0.0052606845,0.09586006,0.0015807155,0.1629913,0.07637567,0.61233836],"study_design_scores_gemma":[0.00019791462,0.00093636004,0.012102588,0.0027944753,0.0001449067,0.00056884205,0.0053388434,0.41964975,0.0043661306,0.3141546,0.23943883,0.00030678094],"about_ca_topic_score_codex":0.028066503,"about_ca_topic_score_gemma":0.01734287,"teacher_disagreement_score":0.028066503,"about_ca_system_score_codex":0.0052482407,"about_ca_system_score_gemma":0.007536206,"threshold_uncertainty_score":0.08908093},"labels":[],"label_agreement":null},{"id":"W4304890991","doi":"10.3389/fdgth.2022.877762","title":"Digital phenotyping for classification of anxiety severity during COVID-19","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anxiety; Support vector machine; Coronavirus disease 2019 (COVID-19); Proxy (statistics); Artificial intelligence; Survey data collection; Psychology; Computer science; Generalized anxiety disorder; Population; Psychological intervention; Machine learning; Medicine; Clinical psychology; Psychiatry; Statistics; Mathematics; Environmental health; Disease","score_opus":0.04258044208638447,"score_gpt":0.3707336661209212,"score_spread":0.32815322403453673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304890991","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":[0.9169904,0.0004998601,0.013785767,0.00058436504,0.00008694284,0.0007000519,0.056020636,0.0011286634,0.010203303],"genre_scores_gemma":[0.9408579,0.0003222095,0.01808671,0.00013394875,0.000033846238,0.00043225952,0.03698848,0.000051522256,0.0030931067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922955,0.00009518559,0.000050169616,0.00012972762,0.00030244957,0.00019298268],"domain_scores_gemma":[0.99754333,0.00036278344,0.0003995191,0.00020912243,0.0012327915,0.00025238743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007007662,0.00036440208,0.0003039136,0.0029789389,0.00054117944,0.0008330283,0.00060430495,0.00041242797,0.0024226073],"category_scores_gemma":[0.0049997503,0.00013366897,0.00039543022,0.0021023613,0.00024100106,0.00025321383,0.00076019956,0.0004302535,0.0011294268],"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":[0.00043420115,0.00014034823,0.85608464,0.00016905383,0.00007308895,0.00020982065,0.00084216736,0.0017956095,0.0041647293,0.00046146652,0.014418094,0.121206865],"study_design_scores_gemma":[0.00000825554,0.000053976924,0.98239374,0.00003785731,0.00002475919,0.00013427754,0.00074747857,0.009204326,0.0014698752,0.00015216465,0.0057516475,0.000021656893],"about_ca_topic_score_codex":0.2879314,"about_ca_topic_score_gemma":0.37784663,"teacher_disagreement_score":0.2879314,"about_ca_system_score_codex":0.0018828076,"about_ca_system_score_gemma":0.0018006123,"threshold_uncertainty_score":0.57251096},"labels":[],"label_agreement":null},{"id":"W4308122709","doi":"10.3389/fdgth.2022.999250","title":"Test-Retest reliability and preliminary reliable change estimates for Sway Balance tests administered remotely in community-dwelling adults","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Intraclass correlation; Balance (ability); Physical medicine and rehabilitation; Physical therapy; Reliability (semiconductor); Medicine; Confidence interval; Test (biology); Interquartile range; Psychology; Psychometrics; Surgery","score_opus":0.04156498145678705,"score_gpt":0.34977806668715505,"score_spread":0.308213085230368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308122709","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":[0.99740905,0.00025246563,0.0010914303,0.000026464897,0.000022055026,0.00014321503,0.00018503855,0.000020445066,0.0008498747],"genre_scores_gemma":[0.9976908,0.00007223901,0.0014204256,0.000025619587,0.00001768383,0.0001785966,0.0003211065,0.0000072734906,0.0002662031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995952,0.0014195433,0.00059428334,0.0006408123,0.0012453763,0.00014810993],"domain_scores_gemma":[0.988442,0.0043333494,0.0023571115,0.0009166477,0.0036433174,0.0003075232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069464096,0.0006366094,0.00046434402,0.0009116946,0.0005733723,0.00057722675,0.00039159355,0.0005986822,0.0009195931],"category_scores_gemma":[0.017356217,0.00037494124,0.000756688,0.00047718154,0.0004966032,0.00055964314,0.0007927816,0.00051627745,0.0004522792],"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":[0.0007033808,0.00044205395,0.97566015,0.00009827946,0.00054165296,0.00008566195,0.0016706776,0.00024319506,0.002849396,0.00003588828,0.00040312565,0.017266557],"study_design_scores_gemma":[0.000040153434,0.0011125453,0.9968913,0.000016590848,0.00009343765,0.00013258944,0.00031003755,0.00042205772,0.00064168643,0.00003199022,0.00029691166,0.0000107573005],"about_ca_topic_score_codex":0.0014767409,"about_ca_topic_score_gemma":0.0041739293,"teacher_disagreement_score":0.0069464096,"about_ca_system_score_codex":0.000221221,"about_ca_system_score_gemma":0.00024032989,"threshold_uncertainty_score":0.036736608},"labels":[],"label_agreement":null},{"id":"W4308444873","doi":"10.3389/fdgth.2022.989003","title":"Editorial: Digital health adoption: Looking beyond the role of technology","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Digital health; Front (military); Health technology; Political science; Public relations; Telecommunications; Engineering; Health care; Mechanical engineering","score_opus":0.008165592657540232,"score_gpt":0.3369190343303699,"score_spread":0.32875344167282966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308444873","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002482275,0.0017580936,0.0000785927,0.020645825,0.97511715,0.000031173447,0.00008010559,0.00007707001,0.002187188],"genre_scores_gemma":[0.0003463814,0.0025289643,0.00009720497,0.013073569,0.9690991,0.00004088361,0.000054373813,0.000044778488,0.014714866],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932475,0.00093122444,0.00066971063,0.00077982474,0.003878219,0.00049348595],"domain_scores_gemma":[0.9751379,0.008589949,0.0015037899,0.0006481254,0.009711734,0.0044085784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008465492,0.005754621,0.0043765255,0.005549275,0.0044262907,0.0106198955,0.0043975925,0.018752474,0.047751814],"category_scores_gemma":[0.033067066,0.0013709109,0.0032121956,0.0021530718,0.0024395057,0.0063265264,0.0020688658,0.015856244,0.02862501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029250972,0.000012540235,0.000015129728,0.00015600973,0.000008880103,0.00005927919,0.000007199513,0.00001925762,0.000029013292,0.00015834189,0.9958501,0.0036550155],"study_design_scores_gemma":[0.00010284979,0.00003574283,0.00024232815,0.0006570395,0.000044422297,0.00017927865,0.000048908958,0.00018384859,0.000112434354,0.0011542009,0.9972121,0.000026878708],"about_ca_topic_score_codex":0.001989953,"about_ca_topic_score_gemma":0.0056270277,"teacher_disagreement_score":0.047751814,"about_ca_system_score_codex":0.0034717182,"about_ca_system_score_gemma":0.004456862,"threshold_uncertainty_score":0.15974575},"labels":[],"label_agreement":null},{"id":"W4308935928","doi":"10.3389/fdgth.2022.928602","title":"Mobile phone access and preferences among medical inpatients at an urban Canadian hospital for post-discharge planning: A pre-COVID-19 cross-sectional survey","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Vancouver Coastal Health Research Institute","keywords":"Mobile phone; Psychological intervention; mHealth; Phone; Internet access; The Internet; Medicine; Internet privacy; Family medicine; Medical emergency; Business; Nursing; Telecommunications; Computer science; World Wide Web","score_opus":0.059295816533210845,"score_gpt":0.4384464273799401,"score_spread":0.37915061084672924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308935928","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":[0.99173474,0.00015291183,0.000047481448,0.00028836678,0.0000056951258,0.00021061077,0.005747925,0.0000073665265,0.0018049747],"genre_scores_gemma":[0.99521,0.00032811417,0.0002446273,0.00043202573,0.000008649094,0.00013037087,0.0026436031,0.0000039823803,0.0009985896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988464,0.00006679684,0.00010899435,0.00012250344,0.0004625428,0.00039272537],"domain_scores_gemma":[0.99833256,0.0000836898,0.00041104056,0.000042030937,0.00055784074,0.0005729008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000771359,0.00029913854,0.00033902228,0.0012869113,0.0019197544,0.0010110866,0.0009355569,0.0005201678,0.002402301],"category_scores_gemma":[0.001784835,0.00041414713,0.0004081966,0.0026818055,0.00050964084,0.00048261916,0.0009520561,0.0008080412,0.0005481983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036241883,0.00011310537,0.9948881,0.00005739603,0.000014752742,0.00008501389,0.0014732595,0.000020745656,0.00019611394,0.000018706409,0.0010085743,0.0020879577],"study_design_scores_gemma":[0.000002700429,0.000043705462,0.99762136,0.000015177758,0.0000033109013,0.00002737839,0.0018770032,0.000036539226,0.000020478536,0.0000026613,0.00034517283,0.0000045672573],"about_ca_topic_score_codex":0.92677784,"about_ca_topic_score_gemma":0.9609852,"teacher_disagreement_score":0.07322216,"about_ca_system_score_codex":0.010586664,"about_ca_system_score_gemma":0.010424943,"threshold_uncertainty_score":0.14730668},"labels":[],"label_agreement":null},{"id":"W4309044101","doi":"10.3389/fdgth.2022.1016522","title":"Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"North York General Hospital; Vector Institute; Canadian Institute for Advanced Research; Canadian Heart Research Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children","keywords":"Clinical decision support system; Decision support system; Medical diagnosis; Psychological intervention; Sketch; R-CAST; Decision aids; Decision analysis; Intervention (counseling); Medicine; Disease; Computer science; Key (lock); Medical emergency; Business decision mapping; Risk analysis (engineering); Intensive care medicine; Artificial intelligence; Pathology; Nursing; Alternative medicine","score_opus":0.08658987314135261,"score_gpt":0.4552290089701841,"score_spread":0.36863913582883145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309044101","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18810192,0.00058047834,0.77816063,0.0038347996,0.0002848239,0.008859383,0.00075353996,0.0032143972,0.016210033],"genre_scores_gemma":[0.3329432,0.00018248786,0.66166335,0.00039751126,0.000030782234,0.002366701,0.0004685981,0.00007416802,0.0018731416],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9896841,0.006719919,0.0009785219,0.0010203094,0.0011419739,0.00045523114],"domain_scores_gemma":[0.9812595,0.012562012,0.0011657072,0.00085589045,0.0026055842,0.0015513612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011817541,0.0009509157,0.00047181934,0.001033984,0.001636219,0.0040839366,0.002270201,0.001539122,0.005924365],"category_scores_gemma":[0.023517106,0.0006164085,0.00087210996,0.00054087676,0.0016542822,0.0023533907,0.0027385904,0.0015423556,0.00082023407],"study_design_candidate":"bench_or_experimental","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":[0.00390659,0.0041776714,0.030808298,0.007398665,0.00043363418,0.0045548957,0.077043995,0.13845524,0.058607653,0.10822054,0.021535603,0.5448571],"study_design_scores_gemma":[0.0026089705,0.006018522,0.012652537,0.0037111125,0.0006389857,0.0027176803,0.029532148,0.61264503,0.04420206,0.07561163,0.20910975,0.0005515803],"about_ca_topic_score_codex":0.0015593146,"about_ca_topic_score_gemma":0.002010721,"teacher_disagreement_score":0.011817541,"about_ca_system_score_codex":0.0024363664,"about_ca_system_score_gemma":0.0066645797,"threshold_uncertainty_score":0.062497914},"labels":[],"label_agreement":null},{"id":"W4309447715","doi":"10.3389/fdgth.2022.1017231","title":"Adoption of electronic medical records in developing countries—A multi-state study of the Nigerian healthcare system","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Health care; Developing country; Medical record; Stratified sampling; Business; Situational ethics; Healthcare delivery; Data collection; Knowledge management; Medicine; Nursing; Medical emergency; Family medicine; Psychology; Computer science","score_opus":0.03316640157017445,"score_gpt":0.3720089429827449,"score_spread":0.3388425414125704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309447715","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":[0.9997905,0.00003053253,0.0000112598755,0.000028477556,6.5724794e-7,0.0000062628164,0.000017125516,1.851902e-7,0.00011501777],"genre_scores_gemma":[0.99979347,0.00008388408,0.000035332807,0.000017147253,6.494738e-7,0.000008544848,0.000020418598,2.950981e-7,0.00004022707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991879,0.00036419558,0.00013013136,0.00008240135,0.00008649476,0.00014890081],"domain_scores_gemma":[0.997399,0.0008094868,0.0010848537,0.00010661818,0.00027842273,0.00032163464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002245581,0.00019281528,0.00030255804,0.00087752054,0.0012401402,0.0012090402,0.0002480115,0.0003681289,0.00069798087],"category_scores_gemma":[0.00335554,0.00043337196,0.00028802647,0.0012839613,0.000719314,0.0011167289,0.00090692984,0.0006190886,0.00012620617],"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":[0.000044978493,0.00017096456,0.9810286,0.000033430053,0.000014965395,0.00022431265,0.015840359,0.00003298215,0.00024016628,0.000090454865,0.000054713793,0.0022240938],"study_design_scores_gemma":[0.000004596787,0.00019437143,0.9584335,0.000061353414,0.000013364362,0.00023916442,0.040421516,0.0001906094,0.000087601125,0.000028356104,0.00031612845,0.0000094013885],"about_ca_topic_score_codex":0.016073762,"about_ca_topic_score_gemma":0.025378982,"teacher_disagreement_score":0.016073762,"about_ca_system_score_codex":0.00092560623,"about_ca_system_score_gemma":0.0009738787,"threshold_uncertainty_score":0.031960428},"labels":[],"label_agreement":null},{"id":"W4309609821","doi":"10.3389/fdgth.2022.901419","title":"Spontaneous speech feature analysis for alzheimer's disease screening using a random forest classifier","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Random forest; Classifier (UML); Computer science; Artificial intelligence; Speech recognition; Machine learning; Pattern recognition (psychology)","score_opus":0.04822512551743606,"score_gpt":0.3299832017300856,"score_spread":0.28175807621264953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309609821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20071267,0.00061264465,0.79275584,0.00018998006,0.00014422189,0.00032761466,0.0007481591,0.0034532247,0.0010556043],"genre_scores_gemma":[0.65608406,0.00034516907,0.3394695,0.0000831227,0.00008912399,0.00040194995,0.0017952645,0.00009063573,0.0016411722],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951375,0.00012454245,0.000049047376,0.00012470243,0.00012630265,0.00006156151],"domain_scores_gemma":[0.9989998,0.00049194647,0.000050347335,0.00007140658,0.00035774423,0.000028757306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019245179,0.0006829993,0.0005886466,0.0011104055,0.00033773464,0.00052182475,0.0005093378,0.000596091,0.0015760957],"category_scores_gemma":[0.0031488007,0.00015954624,0.0008815314,0.0005792091,0.000142468,0.00054442184,0.00022489423,0.00061552646,0.0011336759],"study_design_candidate":"simulation_or_modeling","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":[0.000794461,0.0007692639,0.017518004,0.00014365045,0.00017024086,0.00020929542,0.00011244113,0.046751663,0.053848438,0.000894979,0.0038211704,0.8749664],"study_design_scores_gemma":[0.00005274584,0.0005024519,0.01572371,0.000032074546,0.000105543455,0.00028920217,0.0000657198,0.96290714,0.017757155,0.0009237029,0.0016070595,0.000033423094],"about_ca_topic_score_codex":0.004380069,"about_ca_topic_score_gemma":0.005688234,"teacher_disagreement_score":0.004380069,"about_ca_system_score_codex":0.00024820145,"about_ca_system_score_gemma":0.00073650153,"threshold_uncertainty_score":0.01017791},"labels":[],"label_agreement":null},{"id":"W4310266395","doi":"10.3389/fdgth.2022.1014375","title":"Barriers and facilitators for the sustainability of digital health interventions in low and middle-income countries: A systematic review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Psychological intervention; Sustainability; Digital health; Business; Health care; Public relations; Nursing; Medicine; Economic growth; Political science; Economics","score_opus":0.05018735252338909,"score_gpt":0.43037834461318164,"score_spread":0.38019099208979257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310266395","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005554031,0.99028325,0.0005289751,0.00076246075,0.0001471424,0.0017140298,0.0004281684,0.000018378763,0.00056363235],"genre_scores_gemma":[0.06638687,0.9246544,0.0028357347,0.001049324,0.00008700134,0.0043625664,0.00043201476,0.000012316231,0.0001798609],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.96866524,0.012946198,0.010863132,0.0014891947,0.0051860455,0.0008502303],"domain_scores_gemma":[0.8526054,0.11383986,0.02088392,0.0016411114,0.009806756,0.0012228524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036202382,0.0017470464,0.009135003,0.012072965,0.0012636262,0.0044154907,0.0026274133,0.0024562003,0.0033071043],"category_scores_gemma":[0.12611328,0.0015482605,0.009682312,0.011856651,0.0016032181,0.004537572,0.0029055579,0.0016157642,0.00024623613],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018367462,0.000047007674,0.0019371483,0.9515594,0.00683854,0.00007943118,0.0007664859,0.00008636475,0.00007342191,0.00029014263,0.0006935422,0.037444934],"study_design_scores_gemma":[0.00020840876,0.0002226724,0.0045898557,0.9436155,0.041027762,0.00014936778,0.0010750451,0.00010075693,0.0001920175,0.00026197842,0.008520693,0.000035904854],"about_ca_topic_score_codex":0.008992085,"about_ca_topic_score_gemma":0.025151877,"teacher_disagreement_score":0.036202382,"about_ca_system_score_codex":0.007342204,"about_ca_system_score_gemma":0.0355151,"threshold_uncertainty_score":0.19145882},"labels":[],"label_agreement":null},{"id":"W4311964438","doi":"10.3389/fdgth.2022.1058826","title":"Using apple watch ECG data for heart rate variability monitoring and stress prediction: A pilot study","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute for Aging; University Health Network; Public Health Ontario; University of Toronto; University of Waterloo","funders":"","keywords":"Support vector machine; Stress (linguistics); Wearable computer; Data collection; Smartwatch; Mental health; Psychological intervention; Wearable technology; Predictive modelling; Computer science; Machine learning; Artificial intelligence; Medicine; Statistics; Embedded system; Nursing","score_opus":0.07602742396197423,"score_gpt":0.3369067089851246,"score_spread":0.2608792850231504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311964438","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":[0.9946374,0.00005192741,0.0036460767,0.00010025912,0.000028273022,0.0006900172,0.0003427848,0.000051556533,0.000451788],"genre_scores_gemma":[0.9885865,0.0001431557,0.00894507,0.00013424682,0.00007345414,0.0010796221,0.00061425084,0.000016882212,0.00040695097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988456,0.0007348918,0.000070578855,0.0001253306,0.00012956244,0.00009401028],"domain_scores_gemma":[0.9955194,0.0026121547,0.0002130637,0.00046495913,0.0007598495,0.00043057295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031488787,0.0005129647,0.0004956805,0.00037909264,0.00032309903,0.0004041055,0.0004210885,0.00062891166,0.0016623749],"category_scores_gemma":[0.0059074946,0.00020790253,0.0004943732,0.00029315616,0.0003465685,0.0007208927,0.0004670067,0.0005683513,0.0005715087],"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":[0.014324052,0.04496321,0.6198128,0.00079955364,0.00063390116,0.0024215363,0.00678289,0.0039279778,0.056366466,0.0005839771,0.003062355,0.24632132],"study_design_scores_gemma":[0.0031016336,0.1698254,0.7758254,0.00010343206,0.0006388694,0.0018973553,0.004048311,0.025547694,0.012639125,0.0006079788,0.0056180903,0.00014673221],"about_ca_topic_score_codex":0.0029227147,"about_ca_topic_score_gemma":0.0031468512,"teacher_disagreement_score":0.0031488787,"about_ca_system_score_codex":0.00015854852,"about_ca_system_score_gemma":0.0005377269,"threshold_uncertainty_score":0.01665306},"labels":[],"label_agreement":null},{"id":"W4313909975","doi":"10.3389/fdgth.2022.1071790","title":"SMS-based digital health intervention in Rwanda's home-based care program for remote management of COVID-19 cases and contacts: A qualitative study of sustainability and scalability","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Rwanda Biomedical Centre; London School of Hygiene and Tropical Medicine","keywords":"Thematic analysis; mHealth; Nursing; Qualitative research; Intervention (counseling); Telemedicine; Medicine; Isolation (microbiology); Health care; Pandemic; Medical education; Coronavirus disease 2019 (COVID-19); Psychological intervention; Political science; Sociology","score_opus":0.04948715289713529,"score_gpt":0.4888752128713806,"score_spread":0.4393880599742453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313909975","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":[0.99000543,0.0006363759,0.0012621031,0.0020485695,0.000056436722,0.00073102565,0.0001226976,0.00001741429,0.005119966],"genre_scores_gemma":[0.992458,0.00091453566,0.0016189088,0.0007587738,0.000022620354,0.00089903106,0.000053725562,0.000025269,0.0032491868],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9941759,0.004504214,0.00012504865,0.00021053484,0.00018905854,0.00079525524],"domain_scores_gemma":[0.99363554,0.005130677,0.00036301158,0.00013096226,0.0002830728,0.0004566762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079236515,0.0005387176,0.00064341543,0.0008849132,0.0056747873,0.0020725688,0.0013337586,0.001179197,0.003784992],"category_scores_gemma":[0.008428266,0.00056731055,0.00045627542,0.0008288753,0.005558,0.002584737,0.0032828848,0.0018164183,0.0004273723],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005402195,0.00015561075,0.0021093667,0.00038085773,0.000004660464,0.0017710305,0.984525,0.000043727996,0.0014771147,0.0008849205,0.00063443364,0.007959303],"study_design_scores_gemma":[0.0000106606685,0.0002059191,0.0020946749,0.00032026783,0.000007750869,0.00027288045,0.98922145,0.00007893939,0.0005423849,0.00014082885,0.0070948997,0.000009223321],"about_ca_topic_score_codex":0.0045931134,"about_ca_topic_score_gemma":0.0077609876,"teacher_disagreement_score":0.0079236515,"about_ca_system_score_codex":0.0038691557,"about_ca_system_score_gemma":0.0039185905,"threshold_uncertainty_score":0.041904747},"labels":[],"label_agreement":null},{"id":"W4315433973","doi":"10.3389/fdgth.2022.1063324","title":"Disagreements in physical activity monitor validation study guidelines create challenges in conducting validity studies","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Physical Activity and Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"Canadian Institutes of Health Research; Dalhousie University","keywords":"Physical activity; Front (military); Volume (thermodynamics); Human health; Psychology; Applied psychology; Medicine; Engineering; Environmental health; Physical medicine and rehabilitation; Mechanical engineering; Physics","score_opus":0.5643309751386505,"score_gpt":0.5022096013238003,"score_spread":0.06212137381485017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315433973","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027448833,0.030354222,0.24329077,0.5441924,0.052983366,0.032843158,0.005677456,0.0013838095,0.06182612],"genre_scores_gemma":[0.2257513,0.0074125333,0.35633442,0.30493197,0.016117385,0.07632679,0.0043789954,0.0022136099,0.0065330616],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.12505159,0.6278147,0.16382155,0.015335578,0.06419863,0.0037779904],"domain_scores_gemma":[0.025464287,0.8326951,0.015438661,0.039595667,0.08392686,0.0028793998],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.822094,0.0013540353,0.0035282096,0.0092694275,0.0073861307,0.012828512,0.011234821,0.014693027,0.006109911],"category_scores_gemma":[0.9165921,0.003197397,0.0059574842,0.006567795,0.013304444,0.012063072,0.0121106105,0.016224358,0.0039435164],"study_design_candidate":"observational","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":[0.0014086124,0.0005677457,0.029662566,0.02459328,0.0023416388,0.0009396477,0.058302492,0.0013589523,0.002546663,0.118742965,0.37158647,0.3879489],"study_design_scores_gemma":[0.0014948633,0.00077701214,0.03486978,0.08100638,0.0014162977,0.0012377345,0.018867495,0.0071447087,0.0060552796,0.19005272,0.65639836,0.000679436],"about_ca_topic_score_codex":0.005784701,"about_ca_topic_score_gemma":0.0075890333,"teacher_disagreement_score":0.17790598,"about_ca_system_score_codex":0.00795132,"about_ca_system_score_gemma":0.029307496,"threshold_uncertainty_score":0.2193898},"labels":[],"label_agreement":null},{"id":"W4317627242","doi":"10.3389/fdgth.2023.1064115","title":"Developing a music-based digital therapeutic to help manage the neuropsychiatric symptoms of dementia","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Music Therapy and Health","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sheridan College; Toronto Rehabilitation Institute; Toronto Metropolitan University; University Health Network","funders":"","keywords":"Dementia; Anxiety; Music therapy; Modalities; Psychiatry; Medicine; Randomized controlled trial; Psychological intervention; Therapeutic modalities; Psychology; Psychotherapist; Physical therapy; Disease","score_opus":0.03661353738399598,"score_gpt":0.320933939751098,"score_spread":0.28432040236710204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317627242","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":[0.36118612,0.06737204,0.14121631,0.15187486,0.003170554,0.005076092,0.00049332064,0.0006909034,0.26891991],"genre_scores_gemma":[0.5957913,0.050104942,0.30061796,0.028950855,0.0012822127,0.0019951111,0.0002939242,0.00009458253,0.020869233],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892896,0.0005790761,0.00009393952,0.000076850556,0.00021951707,0.00010166015],"domain_scores_gemma":[0.9985343,0.0007045335,0.00017554074,0.000091487615,0.00018798356,0.0003061088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038960364,0.00027909223,0.00020800483,0.0006701704,0.0011909656,0.0014931565,0.0007505804,0.0012001022,0.0077849585],"category_scores_gemma":[0.0039830133,0.00010249768,0.00063283916,0.00024233262,0.0013854925,0.0018134725,0.001842905,0.0014726495,0.001082177],"study_design_candidate":"bench_or_experimental","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":[0.00034778702,0.0019555215,0.0049254843,0.0030756532,0.00006621629,0.00051567383,0.004407929,0.00036178375,0.010403437,0.02518525,0.011259648,0.9374955],"study_design_scores_gemma":[0.0015702648,0.010715206,0.038003,0.011791866,0.000541732,0.005245032,0.01999286,0.0033420483,0.02266072,0.04985647,0.8361088,0.00017191621],"about_ca_topic_score_codex":0.0005622981,"about_ca_topic_score_gemma":0.0022259557,"teacher_disagreement_score":0.0077849585,"about_ca_system_score_codex":0.0009655139,"about_ca_system_score_gemma":0.0023896282,"threshold_uncertainty_score":0.026043296},"labels":[],"label_agreement":null},{"id":"W4317911198","doi":"10.3389/fdgth.2022.970112","title":"Virtual care and COVID-19: A survey study of adoption, satisfaction and continuing education preferences of healthcare providers in Newfoundland and Labrador, Canada","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Videoconferencing; Health care; Thematic analysis; Phone; Nursing; Telemedicine; Work (physics); Quality (philosophy); Psychology; Medical education; Medicine; Qualitative research; Multimedia; Computer science; Political science","score_opus":0.02665762722746094,"score_gpt":0.33895790818674093,"score_spread":0.31230028095928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317911198","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":[0.9973008,0.00018229219,0.00004198482,0.00045981386,0.0000053964427,0.00008840651,0.00065444066,0.0000034488653,0.0012633859],"genre_scores_gemma":[0.9961803,0.0004575018,0.00022189034,0.0005176591,0.0000054714865,0.00009751009,0.0005377528,0.0000069465264,0.0019750022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783343,0.00034215266,0.0001628206,0.00017104427,0.0005710188,0.00091951626],"domain_scores_gemma":[0.9925857,0.0008756216,0.0011586299,0.00009684695,0.0022950075,0.0029881229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097049,0.00022438983,0.00041921667,0.0012614531,0.0048301937,0.0022520435,0.001076153,0.00050461415,0.0027428558],"category_scores_gemma":[0.0044404655,0.00045920894,0.00039324313,0.0030180083,0.0015322391,0.00083749613,0.0020366819,0.0013844933,0.00027192637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010263548,0.00040473635,0.87568134,0.00016324702,0.00003085643,0.00048351404,0.104400374,0.000101707585,0.00044109288,0.00019401025,0.003781974,0.014214455],"study_design_scores_gemma":[0.000008017469,0.000137087,0.84178644,0.00009862271,0.000007835681,0.00009292513,0.15320101,0.0001927004,0.00008533717,0.000010236441,0.004350992,0.000028770752],"about_ca_topic_score_codex":0.97807217,"about_ca_topic_score_gemma":0.9870881,"teacher_disagreement_score":0.040046953,"about_ca_system_score_codex":0.040046953,"about_ca_system_score_gemma":0.03655635,"threshold_uncertainty_score":0.29056233},"labels":[],"label_agreement":null},{"id":"W4353088286","doi":"10.3389/fdgth.2023.1040739","title":"Facilitating engagement of universal school-based digital mental health solutions through user experience: A qualitative exploration","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mental health; Thematic analysis; Psychology; Medical education; Intervention (counseling); Digital health; Perception; Applied psychology; Qualitative research; Health care; Medicine; Psychiatry; Political science","score_opus":0.12678417970425454,"score_gpt":0.44742153845387816,"score_spread":0.3206373587496236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353088286","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":[0.98975205,0.00038847368,0.004694952,0.0010838043,0.000027604383,0.00020283111,0.00010626672,0.000019539915,0.0037244284],"genre_scores_gemma":[0.99588215,0.00043719963,0.0020378774,0.0003545531,0.000008795381,0.00023201677,0.000042740903,0.000022001617,0.000982606],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9881414,0.009629593,0.00027351503,0.0004336713,0.00065316533,0.0008686812],"domain_scores_gemma":[0.9818065,0.015817551,0.0005484412,0.0003414096,0.00071411824,0.000772003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013748417,0.00058721914,0.0005618695,0.0015526052,0.0049058385,0.004132608,0.0014721068,0.0015400493,0.0022443978],"category_scores_gemma":[0.014537498,0.00059130613,0.0005082328,0.0012686326,0.0074775647,0.005239262,0.0071020923,0.0021125134,0.00024053575],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018544522,0.000023755409,0.0021731907,0.000095414005,0.0000031292805,0.00032659378,0.9926231,0.000020098927,0.00046927552,0.0011735223,0.00014874825,0.0029245494],"study_design_scores_gemma":[0.0000054210186,0.00006143004,0.0014921643,0.00016122285,0.0000066489483,0.0002578482,0.9903502,0.0001734889,0.00049280626,0.00040336166,0.006583355,0.000012146183],"about_ca_topic_score_codex":0.0029317022,"about_ca_topic_score_gemma":0.0049555986,"teacher_disagreement_score":0.013748417,"about_ca_system_score_codex":0.0029851724,"about_ca_system_score_gemma":0.0028818056,"threshold_uncertainty_score":0.0727095},"labels":[],"label_agreement":null},{"id":"W4360866748","doi":"10.3389/fdgth.2023.1146806","title":"Taking modern psychiatry into the metaverse: Integrating augmented, virtual, and mixed reality technologies into psychiatric care","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Metaverse; Augmented reality; Neurostimulation; Computer science; Virtual reality; Modalities; Human–computer interaction; Neuromodulation; Data science; Psychology; Neuroscience; Sociology","score_opus":0.018931848057124757,"score_gpt":0.2989866681634899,"score_spread":0.2800548201063651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360866748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06503648,0.057047337,0.5533971,0.10723274,0.0067246435,0.00053898257,0.0004119133,0.0030584475,0.2065524],"genre_scores_gemma":[0.5634487,0.045951344,0.34206936,0.017249808,0.004168914,0.00062479544,0.00037594762,0.00056112057,0.025550013],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964755,0.0021865375,0.00017446473,0.00023224825,0.0007005208,0.00023074039],"domain_scores_gemma":[0.99635315,0.0017672286,0.00027278872,0.0007121734,0.0003392276,0.00055538403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004741994,0.00081017,0.0003924802,0.0015872009,0.0020498927,0.0101727545,0.0016435345,0.002952721,0.009079635],"category_scores_gemma":[0.0070979004,0.00046121926,0.0010387453,0.0010338662,0.004544584,0.009590923,0.01418779,0.0033289017,0.0017082903],"study_design_candidate":"theoretical_or_conceptual","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":[0.00022576089,0.00018669333,0.003590489,0.0013807748,0.00015684719,0.0013191638,0.025651455,0.0014639809,0.0060345894,0.1940437,0.030443205,0.7355033],"study_design_scores_gemma":[0.00010985868,0.00092338177,0.0047968584,0.0033324654,0.00023133826,0.005923222,0.02295018,0.005332776,0.0050861035,0.17991054,0.77114123,0.00026205732],"about_ca_topic_score_codex":0.0009224636,"about_ca_topic_score_gemma":0.0018091738,"teacher_disagreement_score":0.0101727545,"about_ca_system_score_codex":0.0012491673,"about_ca_system_score_gemma":0.0025236763,"threshold_uncertainty_score":0.030374408},"labels":[],"label_agreement":null},{"id":"W4360999314","doi":"10.3389/fdgth.2023.1165504","title":"Editorial: Education and learning for digital health","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Digital learning; Data science; Mathematics education; Psychology; Multimedia","score_opus":0.016785730941947494,"score_gpt":0.38628436199241617,"score_spread":0.36949863105046865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360999314","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000023933157,0.001233873,0.000057774894,0.01631236,0.98148704,0.000021053467,0.000037111768,0.000046764875,0.00078007346],"genre_scores_gemma":[0.000276371,0.0015583432,0.000059848644,0.013775137,0.97959477,0.000024077257,0.000029059283,0.000031364918,0.004651067],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98809636,0.0015522721,0.0013670356,0.0017729996,0.006273768,0.0009376154],"domain_scores_gemma":[0.9560408,0.018685738,0.002550767,0.0014274712,0.015803447,0.0054918285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009723387,0.0054732524,0.0049667936,0.005340682,0.0048501207,0.013845204,0.006918497,0.024991367,0.0316114],"category_scores_gemma":[0.045517594,0.0014642962,0.0050458256,0.002209994,0.004812602,0.0074769394,0.0023934485,0.02423514,0.024408948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043214433,0.00002326491,0.000027697703,0.00035364905,0.000021556905,0.00010251049,0.00001965472,0.000029671659,0.000048543017,0.00033140753,0.9948042,0.004194511],"study_design_scores_gemma":[0.00008366091,0.000058239257,0.00033756497,0.000940681,0.000056120694,0.00027642495,0.000078258876,0.00019032085,0.00016685898,0.0011235877,0.9966563,0.000031995645],"about_ca_topic_score_codex":0.0016332072,"about_ca_topic_score_gemma":0.0027364437,"teacher_disagreement_score":0.0316114,"about_ca_system_score_codex":0.0051915497,"about_ca_system_score_gemma":0.0052363523,"threshold_uncertainty_score":0.10575074},"labels":[],"label_agreement":null},{"id":"W4361212721","doi":"10.3389/fdgth.2023.1166088","title":"Editorial: Continued opportunities in wearable technologies and physiological assessment","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Physical Activity and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Front (military); Wearable technology; Volume (thermodynamics); Medicine; Aeronautics; Engineering; Mechanical engineering; Physics; Embedded system","score_opus":0.057466922461918805,"score_gpt":0.3534194142515985,"score_spread":0.2959524917896797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361212721","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000023583278,0.001495213,0.00008416519,0.018437797,0.9793353,0.000008292186,0.000021470709,0.000040426323,0.00055374135],"genre_scores_gemma":[0.00027496336,0.0016642639,0.00009099763,0.012125864,0.9824386,0.000013030986,0.000019497495,0.000050360075,0.0033224865],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98859894,0.0019344466,0.0013619802,0.0015064868,0.0058853705,0.0007127716],"domain_scores_gemma":[0.93665266,0.023772752,0.0031819711,0.0018080019,0.02844248,0.00614212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010920349,0.003429532,0.0032574884,0.004123473,0.004048889,0.013186567,0.0036574302,0.012215466,0.024514938],"category_scores_gemma":[0.05788906,0.0011081436,0.003070666,0.0013772846,0.0036995623,0.007403389,0.0020319286,0.018645816,0.01884109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033743057,0.00001125881,0.000031578613,0.00024640484,0.000012881701,0.0000933613,0.000041485637,0.000019490508,0.000060417748,0.00046853835,0.9936725,0.005308306],"study_design_scores_gemma":[0.000034249333,0.000044701173,0.00020908075,0.0008595736,0.00003327918,0.00035520786,0.000120815705,0.00010407269,0.00012420522,0.0012405666,0.9968501,0.000024281506],"about_ca_topic_score_codex":0.0009350539,"about_ca_topic_score_gemma":0.0017187471,"teacher_disagreement_score":0.024514938,"about_ca_system_score_codex":0.0031186545,"about_ca_system_score_gemma":0.0041494323,"threshold_uncertainty_score":0.08201063},"labels":[],"label_agreement":null},{"id":"W4364357694","doi":"10.3389/fdgth.2023.1142822","title":"Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Centre Intégré de Santé et de Services Sociaux des Laurentides; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Fondation de l'Association des radiologistes du Québec; Réseau en Bio-Imagerie du Quebec","keywords":"Hierarchical clustering; Cluster analysis; Cluster (spacecraft); Medicine; Hypoxemia; Comorbidity; Data mining; Computer science; Internal medicine; Artificial intelligence","score_opus":0.049169755989960075,"score_gpt":0.44185132125691845,"score_spread":0.39268156526695835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364357694","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":[0.9700754,0.00020658142,0.026906092,0.00040219584,0.000024246168,0.0002408022,0.0014716637,0.00013797836,0.00053491414],"genre_scores_gemma":[0.9832792,0.000050706276,0.014889553,0.00003614364,0.000010311797,0.000088447225,0.001560754,0.000014324666,0.00007043784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805295,0.0007637868,0.0002093069,0.00047321364,0.00031664886,0.00018421783],"domain_scores_gemma":[0.99395627,0.0029138213,0.0012209248,0.00043460756,0.0011833732,0.00029110617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036763162,0.0008333002,0.0007221118,0.0029500017,0.0006315338,0.0016832295,0.00080870336,0.00061309076,0.0007269872],"category_scores_gemma":[0.0132761365,0.00020610409,0.001067259,0.0015044234,0.00058450026,0.0005598657,0.0010889574,0.0007747533,0.00015833684],"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":[0.0007368654,0.000102795995,0.9573221,0.000077863726,0.00028083718,0.00017025857,0.0007202979,0.01771539,0.00122028,0.00040167233,0.0012701919,0.0199814],"study_design_scores_gemma":[0.00008854445,0.00034118706,0.6180263,0.00010745787,0.00019298213,0.0004302268,0.002029204,0.37113065,0.0019182771,0.0044444934,0.001181393,0.000109385684],"about_ca_topic_score_codex":0.029565169,"about_ca_topic_score_gemma":0.02302874,"teacher_disagreement_score":0.029565169,"about_ca_system_score_codex":0.0021021583,"about_ca_system_score_gemma":0.0019550687,"threshold_uncertainty_score":0.058786154},"labels":[],"label_agreement":null},{"id":"W4376645799","doi":"10.3389/fdgth.2023.1208116","title":"Editorial: Understanding public discourse for digital mental health promotion","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mental health; Promotion (chess); Public relations; Health promotion; Public health; Front (military); Political science; Digital health; Psychology; Medicine; Psychiatry; Engineering; Nursing; Health care; Politics; Law","score_opus":0.06786606636823594,"score_gpt":0.4154283809222619,"score_spread":0.347562314554026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376645799","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007332944,0.0027250128,0.00009213559,0.1026311,0.8929808,0.000019809742,0.000034108834,0.000036622172,0.0014070492],"genre_scores_gemma":[0.0014993983,0.0025973404,0.00009581004,0.037964728,0.953523,0.000032300526,0.000022454486,0.000035831556,0.0042291884],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9880657,0.003079735,0.0010678906,0.0014577303,0.0052864696,0.0010424538],"domain_scores_gemma":[0.92990834,0.040760994,0.0032529356,0.001512659,0.018559078,0.006006069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01168657,0.0031026748,0.0025754266,0.0043135695,0.0057477257,0.016215457,0.004599846,0.022146095,0.01940777],"category_scores_gemma":[0.07017378,0.00091528497,0.0029139498,0.001851195,0.00678754,0.008383703,0.0029438382,0.020226426,0.0073450785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029712475,0.000014495916,0.000040771207,0.00022338616,0.000013980088,0.000096248325,0.00010119612,0.000019807674,0.000035056124,0.00081138965,0.9950912,0.003522755],"study_design_scores_gemma":[0.0000720334,0.000043180182,0.00038942465,0.0012576628,0.00006447034,0.0002451934,0.00041958448,0.00023219491,0.00016071161,0.002525942,0.99455607,0.000033488926],"about_ca_topic_score_codex":0.0014556354,"about_ca_topic_score_gemma":0.0020289074,"teacher_disagreement_score":0.022146095,"about_ca_system_score_codex":0.005850216,"about_ca_system_score_gemma":0.0069036516,"threshold_uncertainty_score":0.06492549},"labels":[],"label_agreement":null},{"id":"W4378221229","doi":"10.3389/fdgth.2023.1165692","title":"Personal data governance and privacy in digital reproductive, maternal, newborn, and child health initiatives in Palestine and Jordan: a mapping exercise","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"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","keywords":"Palestine; Corporate governance; Political science; Internet privacy; Medicine; History; Business; Computer science; Ancient history","score_opus":0.05012140932006288,"score_gpt":0.3682388846809509,"score_spread":0.318117475360888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378221229","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":[0.98147225,0.0008348648,0.001249507,0.0010448189,0.0000074802406,0.0002904929,0.00018756631,0.0000062896775,0.014906656],"genre_scores_gemma":[0.9930258,0.0012085874,0.0040320577,0.00012810595,0.0000044444723,0.00021484523,0.00015066926,0.0000034195223,0.0012319501],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99690646,0.0019445173,0.00017831908,0.00019638121,0.0003971802,0.00037715747],"domain_scores_gemma":[0.99379635,0.0035694817,0.001153148,0.00023890093,0.0009609114,0.00028114798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008139493,0.00023250122,0.00019331378,0.004716623,0.0029446378,0.004173511,0.0006692516,0.0006130204,0.0024306977],"category_scores_gemma":[0.007832524,0.000206064,0.00022886996,0.008881012,0.00266393,0.0038584012,0.0044063255,0.0006532908,0.00012142048],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013554307,0.00027854662,0.22143388,0.0012647711,0.00004919876,0.00245326,0.591619,0.0011588938,0.0010460127,0.032217965,0.0016642368,0.1466787],"study_design_scores_gemma":[0.000009923927,0.00008014747,0.07173804,0.0008052031,0.000021021298,0.0002950113,0.8955956,0.00094465906,0.0005524198,0.0025027595,0.027441463,0.000013799232],"about_ca_topic_score_codex":0.012096019,"about_ca_topic_score_gemma":0.017561253,"teacher_disagreement_score":0.012096019,"about_ca_system_score_codex":0.0047347937,"about_ca_system_score_gemma":0.008286346,"threshold_uncertainty_score":0.043046236},"labels":[],"label_agreement":null},{"id":"W4378471993","doi":"10.3389/fdgth.2023.1181059","title":"Examining perceptions of a telemedicine network for pediatric emergency medicine: a mixed-methods pilot study","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Niagara Health System; McMaster Children's Hospital; Brock University","funders":"","keywords":"Telemedicine; Thematic analysis; Emergency department; Medicine; Descriptive statistics; Health care; Medical emergency; Perception; Nursing; Family medicine; Qualitative research; Psychology","score_opus":0.08193088415563969,"score_gpt":0.4353750789810976,"score_spread":0.3534441948254579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378471993","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":[0.9986486,0.00005146203,0.00027296282,0.00008461302,0.000005345295,0.0005232753,0.000046553785,0.0000028213321,0.0003643908],"genre_scores_gemma":[0.99419665,0.0003626031,0.00221758,0.00025150544,0.0000145832855,0.002308155,0.0000640539,0.0000046263467,0.00058030384],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9953453,0.0031400258,0.00027311174,0.00027734195,0.0004182596,0.0005459081],"domain_scores_gemma":[0.985103,0.009606398,0.0016809487,0.00049521774,0.0015855109,0.0015289595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015513811,0.00045316518,0.0006854779,0.00094970514,0.002379312,0.0022505447,0.0008882699,0.0009785565,0.0028583328],"category_scores_gemma":[0.015922112,0.0006922573,0.0005530037,0.0008464403,0.0011632196,0.0020273032,0.0014874734,0.0012690019,0.00032053288],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010360371,0.019778768,0.3090581,0.0014862189,0.000104853,0.0021806494,0.5920734,0.000228202,0.0044213794,0.000737163,0.001025406,0.06786992],"study_design_scores_gemma":[0.00033662343,0.020273538,0.18817586,0.00048006154,0.000091647096,0.00071894575,0.7833089,0.0007823827,0.0013236665,0.00025434108,0.0041918987,0.00006206027],"about_ca_topic_score_codex":0.0025761852,"about_ca_topic_score_gemma":0.0067452993,"teacher_disagreement_score":0.015513811,"about_ca_system_score_codex":0.0017851747,"about_ca_system_score_gemma":0.004068555,"threshold_uncertainty_score":0.08204585},"labels":[],"label_agreement":null},{"id":"W4381433555","doi":"10.3389/fdgth.2023.1174845","title":"Opioid-related harms and care impacts of conventional and AI-based prescription management strategies: insights from leveraging agent-based modeling and machine learning","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medical prescription; Medicine; Opioid; Health care; Psychiatry; Medical emergency; Nursing","score_opus":0.017881746021124703,"score_gpt":0.26913371592757707,"score_spread":0.2512519699064524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381433555","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":[0.91314995,0.0009560387,0.06553179,0.0033482846,0.00006701729,0.00023661798,0.00042478633,0.00008816987,0.016197294],"genre_scores_gemma":[0.9935748,0.00035249625,0.004698879,0.000092870294,0.000016052098,0.00006181755,0.000063983556,0.0000047520593,0.0011343749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992053,0.00042649114,0.00003199846,0.000087963934,0.00013049328,0.00011764163],"domain_scores_gemma":[0.9916186,0.0069233784,0.00075440324,0.0001316405,0.00040879537,0.00016320235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020548727,0.0006363613,0.00058397907,0.0006826957,0.00048469752,0.0014224463,0.0009383618,0.0010540662,0.0018554529],"category_scores_gemma":[0.0064216405,0.00031790012,0.000750132,0.00038627544,0.000868048,0.0010778712,0.00094748446,0.001277885,0.000086583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000732366,0.00017664225,0.015016461,0.0000512143,0.00006785705,0.00009902837,0.000074895535,0.97006285,0.0001787287,0.008371412,0.00028010702,0.005547484],"study_design_scores_gemma":[0.000010860064,0.000101669124,0.0022587664,0.00001402347,0.00002382894,0.000014054597,0.00007502841,0.99409497,0.0001013573,0.0030377323,0.00025962145,0.000008092078],"about_ca_topic_score_codex":0.029553939,"about_ca_topic_score_gemma":0.022570739,"teacher_disagreement_score":0.029553939,"about_ca_system_score_codex":0.0023352937,"about_ca_system_score_gemma":0.0026741705,"threshold_uncertainty_score":0.05876386},"labels":[],"label_agreement":null},{"id":"W4382400095","doi":"10.3389/fdgth.2023.1201392","title":"Successes and challenges of artificial intelligence in cardiology","year":2023,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Big data; Health care; Data science; Personalized medicine; Clinical Practice; Computer science; Applications of artificial intelligence; Knowledge management; Artificial intelligence; Medicine; Political science; Bioinformatics; Data mining; Nursing","score_opus":0.3212145173725774,"score_gpt":0.47270513525202196,"score_spread":0.15149061787944457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382400095","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011525721,0.9963825,0.00022561467,0.0018127188,0.00020185912,0.000003356075,0.0000064155097,0.0000043147547,0.0012479932],"genre_scores_gemma":[0.0016875709,0.9965168,0.00034682016,0.0008016378,0.00043914525,0.000006714755,0.000009265548,0.0000018748248,0.00019007438],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987632,0.00044365192,0.00017633375,0.00011926834,0.00043746203,0.000060145838],"domain_scores_gemma":[0.9956754,0.003358091,0.00018698043,0.000084689105,0.00059118134,0.00010361177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036560004,0.0004599504,0.001069676,0.0019673822,0.0004441248,0.0023452144,0.00085082103,0.0018397805,0.0021877997],"category_scores_gemma":[0.0044347923,0.00026577353,0.0005807154,0.00219285,0.0016973086,0.002727224,0.0012522503,0.0029070033,0.0009076275],"study_design_candidate":"not_applicable","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":[0.000047343034,0.000050808525,0.00028509926,0.019107604,0.00008282206,0.00014700476,0.00026421616,0.0004740669,0.00035894508,0.02606791,0.015883656,0.9372305],"study_design_scores_gemma":[0.00001803081,0.00012396503,0.002070212,0.02841516,0.000111303845,0.0010185681,0.00040547206,0.00032360098,0.00030387472,0.023145277,0.94401586,0.000048694244],"about_ca_topic_score_codex":0.0014720508,"about_ca_topic_score_gemma":0.0022347176,"teacher_disagreement_score":0.0036560004,"about_ca_system_score_codex":0.001111188,"about_ca_system_score_gemma":0.002613694,"threshold_uncertainty_score":0.019335032},"labels":[],"label_agreement":null},{"id":"W4382583924","doi":"10.3389/fdgth.2023.1203874","title":"Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social media; Coronavirus disease 2019 (COVID-19); Computer science; Transformer; Artificial intelligence; Context (archaeology); Language model; Outbreak; Natural language processing; Machine learning; Medicine; Geography; World Wide Web; Virology; Infectious disease (medical specialty); Disease; Internal medicine","score_opus":0.1175481210410137,"score_gpt":0.39133407715466934,"score_spread":0.27378595611365564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382583924","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":[0.92603046,0.0035445984,0.035879035,0.0027642585,0.0005195954,0.0003759583,0.017260008,0.004510663,0.009115505],"genre_scores_gemma":[0.9415723,0.0009706334,0.016518466,0.0004863817,0.00005662262,0.00014640516,0.033078,0.00016904279,0.0070022033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991041,0.0002313184,0.00006740769,0.00028999246,0.00012672556,0.00018045046],"domain_scores_gemma":[0.99683017,0.0015323987,0.0000818022,0.00018588812,0.0012293117,0.00014051201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022032955,0.001983538,0.0007106237,0.0010888319,0.0009648399,0.0012124417,0.001734345,0.0008670597,0.0019681912],"category_scores_gemma":[0.006864623,0.00045833888,0.0009660996,0.0009971714,0.00059647,0.001153114,0.00095676736,0.0015898069,0.0012925984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002735843,0.00080913794,0.107373364,0.00055781205,0.00078802794,0.00050046266,0.000516895,0.5500696,0.0059719956,0.0023104192,0.043519784,0.2848466],"study_design_scores_gemma":[0.000059732476,0.0000865549,0.010308202,0.000036205194,0.00008534369,0.000033262146,0.00033105953,0.98479503,0.0015075683,0.00068502536,0.0020366309,0.000035355606],"about_ca_topic_score_codex":0.85922796,"about_ca_topic_score_gemma":0.85988957,"teacher_disagreement_score":0.14077204,"about_ca_system_score_codex":0.009341675,"about_ca_system_score_gemma":0.0102272695,"threshold_uncertainty_score":0.2832021},"labels":[],"label_agreement":null},{"id":"W4383369630","doi":"10.3389/fdgth.2023.1224582","title":"Use of technology in evidence-based programs for child maltreatment and its impact on parent and child outcomes","year":2023,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Child Abuse and Trauma","field":"Psychology","cited_by":8,"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":"Health Resources and Services Administration; Substance Abuse and Mental Health Services Administration; U.S. Department of Health and Human Services","keywords":"Context (archaeology); Grey literature; Psychology; Inclusion (mineral); Child abuse; Poison control; Suicide prevention; Human factors and ergonomics; Medical education; Medicine; MEDLINE; Social psychology; Medical emergency; Political science","score_opus":0.14254138220078486,"score_gpt":0.42023381195052184,"score_spread":0.27769242974973696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383369630","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012449619,0.9715977,0.0017118913,0.0031309102,0.00031702674,0.0014415749,0.0014124917,0.000024273102,0.0079146745],"genre_scores_gemma":[0.10959217,0.87531155,0.00950753,0.0012332955,0.00015232732,0.0030413633,0.00075014326,0.0000142379995,0.00039737014],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9557105,0.023291357,0.011140211,0.0021271543,0.007029923,0.0007008779],"domain_scores_gemma":[0.80505586,0.16256657,0.021124136,0.0021309608,0.008532684,0.000589754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03547046,0.00077439705,0.0026056627,0.0195478,0.0010794444,0.0072117406,0.0019086611,0.0021245354,0.0054372065],"category_scores_gemma":[0.13854429,0.00073487987,0.0037850295,0.022656472,0.0019304401,0.004564391,0.0045282682,0.0015846685,0.00031769593],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046236019,0.00017780867,0.017591843,0.57535,0.0041029877,0.00019417965,0.0033455098,0.00045313052,0.00022114409,0.006283342,0.0028574076,0.3889602],"study_design_scores_gemma":[0.00014549364,0.00044749255,0.025214158,0.9194435,0.009858962,0.00029999737,0.0024186133,0.00018380073,0.0005558528,0.0023506565,0.03902377,0.00005773798],"about_ca_topic_score_codex":0.009846229,"about_ca_topic_score_gemma":0.015663583,"teacher_disagreement_score":0.03547046,"about_ca_system_score_codex":0.0061237994,"about_ca_system_score_gemma":0.01726375,"threshold_uncertainty_score":0.18758792},"labels":[],"label_agreement":null},{"id":"W4383879223","doi":"10.3389/fdgth.2023.1217694","title":"Trends in computerized provider order entry: 20-year bibliometric overview","year":2023,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Order entry; Data science; Computer science; Geography; Business; Medicine; Medical emergency","score_opus":0.16758088817749725,"score_gpt":0.49019988367319334,"score_spread":0.32261899549569606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383879223","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32986423,0.4167435,0.0021845927,0.0030167024,0.00038210207,0.0006533546,0.23337866,0.00061287615,0.013163944],"genre_scores_gemma":[0.5777306,0.2616091,0.0068392665,0.0006435772,0.0008340947,0.0012920221,0.14877693,0.00021294632,0.0020614965],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9870236,0.0019318908,0.005087101,0.0015605879,0.0037988818,0.00059788965],"domain_scores_gemma":[0.9090972,0.05302977,0.02247446,0.00234314,0.0117701115,0.001285244],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00933306,0.0009996673,0.002872905,0.20122696,0.00086002506,0.0043513305,0.001148621,0.001069193,0.0042729937],"category_scores_gemma":[0.041193567,0.0005225943,0.0042295665,0.26386732,0.0008298687,0.0048916917,0.001922147,0.0007491516,0.0012533404],"study_design_candidate":"not_applicable","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":[0.00071886764,0.00021356528,0.6423913,0.095797285,0.008468901,0.0013194022,0.0027105545,0.0017999907,0.0017969813,0.002681693,0.02845649,0.213645],"study_design_scores_gemma":[0.000076911325,0.0002981226,0.88972646,0.014480078,0.0054118107,0.0025428915,0.002622736,0.0019551227,0.0012255994,0.0010814336,0.08046112,0.00011767213],"about_ca_topic_score_codex":0.005319875,"about_ca_topic_score_gemma":0.007082019,"teacher_disagreement_score":0.9906669,"about_ca_system_score_codex":0.0022567057,"about_ca_system_score_gemma":0.004546703,"threshold_uncertainty_score":0.049358547},"labels":[],"label_agreement":null},{"id":"W4385248145","doi":"10.3389/fdgth.2023.1215685","title":"An investigation of media reports of digital surveillance within the first year of the COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fanshawe College; Queen's University; Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Outbreak; Infectious disease (medical specialty)","score_opus":0.03662545423530582,"score_gpt":0.29164387062742264,"score_spread":0.2550184163921168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385248145","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":[0.9837511,0.0009955337,0.00030848634,0.0008649346,0.00013666601,0.0002435283,0.0041509676,0.000024153327,0.009524635],"genre_scores_gemma":[0.9901244,0.0022881893,0.0011819553,0.0004897618,0.00039278774,0.0005388875,0.0032991804,0.000031976644,0.0016529225],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9957659,0.0017827848,0.000610722,0.00027275618,0.0011889143,0.00037888275],"domain_scores_gemma":[0.91495997,0.03984075,0.029939875,0.0021820546,0.011324324,0.0017530057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005348116,0.00033665643,0.0002713385,0.010627995,0.0012309232,0.0037161277,0.0006282754,0.000869488,0.0018183802],"category_scores_gemma":[0.043544542,0.00034835227,0.00033107563,0.0070385756,0.0009908811,0.0028743383,0.0022804553,0.00097010407,0.00048213595],"study_design_candidate":"qualitative","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":[0.00033725635,0.00021055045,0.7962019,0.0014579447,0.000104571336,0.0016908179,0.13560818,0.00014319213,0.0015548228,0.0012050336,0.0070895758,0.054396156],"study_design_scores_gemma":[0.000008041274,0.00018664997,0.82915694,0.0008549913,0.000055519984,0.00077307137,0.1495473,0.00026127466,0.0007322682,0.00011130806,0.018265821,0.000046847716],"about_ca_topic_score_codex":0.0076698726,"about_ca_topic_score_gemma":0.009944842,"teacher_disagreement_score":0.010627995,"about_ca_system_score_codex":0.0013529777,"about_ca_system_score_gemma":0.0012701772,"threshold_uncertainty_score":0.028283894},"labels":[],"label_agreement":null},{"id":"W4385248178","doi":"10.3389/fdgth.2023.1183319","title":"“The library is so much more than books”: considerations for the design and implementation of teen digital mental health services in public libraries","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":28,"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":"National Institute of Mental Health; Canadian Centre for Applied Research in Cancer Control; Eurostars; Jacobs Foundation; Northwestern University","keywords":"Mental health; General partnership; Population; Public relations; Public health; Psychology; Medicine; Medical education; Business; Nursing; Political science; Environmental health; Psychiatry","score_opus":0.046407740405601396,"score_gpt":0.3675359948428714,"score_spread":0.32112825443727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385248178","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":[0.48186475,0.006837665,0.023252906,0.3994297,0.0010632537,0.0032720035,0.00017272618,0.0007239784,0.08338302],"genre_scores_gemma":[0.93590176,0.0039151683,0.031903766,0.019754991,0.00025862546,0.0017109389,0.0000949089,0.00015659431,0.006303215],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.93936,0.045244362,0.0024005496,0.0012230164,0.004824411,0.0069476347],"domain_scores_gemma":[0.9306169,0.031696767,0.0037516125,0.0026396771,0.01046563,0.020829387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08088719,0.00046739823,0.00069138204,0.0023431357,0.018937925,0.025045382,0.0059735873,0.005293703,0.0075245136],"category_scores_gemma":[0.09405263,0.001102504,0.0011272723,0.0020875698,0.011985868,0.01682515,0.015163804,0.006562291,0.0013126546],"study_design_candidate":"observational","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":[0.00027349297,0.0020217618,0.09517768,0.003063645,0.00015683184,0.002814782,0.4406923,0.0013946205,0.0020183492,0.062463146,0.04602479,0.34389853],"study_design_scores_gemma":[0.000100851394,0.000718741,0.028413098,0.00429491,0.00014960382,0.0009822197,0.8097953,0.0012207368,0.0016633462,0.013471292,0.13904642,0.00014355133],"about_ca_topic_score_codex":0.026565626,"about_ca_topic_score_gemma":0.045636915,"teacher_disagreement_score":0.08088719,"about_ca_system_score_codex":0.02020425,"about_ca_system_score_gemma":0.10430422,"threshold_uncertainty_score":0.42777747},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W4385982119","doi":"10.3389/fdgth.2023.1218641","title":"Community participation for reproductive, maternal, newborn and child health: insights from the design and implementation of the BornFyne-prenatal management system digital platform in Cameroon","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Grand Challenges Canada","keywords":"mHealth; Stakeholder; Stakeholder engagement; Community-based participatory research; Reproductive health; Participatory action research; Digital health; Focus group; Public relations; Implementation research; Medicine; Business; Knowledge management; Nursing; Environmental health; Health care; Computer science; Marketing; Political science; Sociology; Psychological intervention; Population","score_opus":0.05040911098599873,"score_gpt":0.38184805439716085,"score_spread":0.33143894341116215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385982119","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":[0.9844074,0.00029289082,0.0032354735,0.0035558487,0.000050231538,0.00089607795,0.000057787263,0.000025979676,0.0074783983],"genre_scores_gemma":[0.9917888,0.00028263914,0.0046717427,0.00054336985,0.000010300069,0.00056707865,0.000029855215,0.000018436924,0.0020878627],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.987823,0.009812411,0.00010278346,0.00032821833,0.00030141737,0.0016320713],"domain_scores_gemma":[0.99442756,0.0036272416,0.0003286012,0.00015669728,0.00031312314,0.0011468773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013322145,0.00074373937,0.0002873517,0.0011526752,0.009003373,0.0035616274,0.0014892961,0.0014846425,0.0046103355],"category_scores_gemma":[0.009490199,0.00044492036,0.0002838057,0.00078019087,0.006383567,0.0022663395,0.005567815,0.0015829342,0.00027095174],"study_design_candidate":"observational","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":[0.00017637522,0.0008057147,0.015491262,0.0005634483,0.0000117652635,0.0049843257,0.91241914,0.00047675797,0.004610865,0.0066056,0.0019587216,0.051896106],"study_design_scores_gemma":[0.00006381985,0.001089789,0.015901895,0.0006046115,0.000024771743,0.00068510807,0.938587,0.0006670634,0.0016833514,0.0017345413,0.038912207,0.00004590126],"about_ca_topic_score_codex":0.013038666,"about_ca_topic_score_gemma":0.029252164,"teacher_disagreement_score":0.013322145,"about_ca_system_score_codex":0.0065199938,"about_ca_system_score_gemma":0.010918084,"threshold_uncertainty_score":0.070455074},"labels":[],"label_agreement":null},{"id":"W4386033111","doi":"10.3389/fdgth.2023.1129536","title":"It's time to address fear of cancer recurrence in family caregivers: usability study of an virtual version of the Family Caregiver—Fear Of Recurrence Therapy (FC-FORT)","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; St Mary's Hospital Centre; McGill University; Ontario Institute for Cancer Research; University of Toronto; University Health Network; Princess Margaret Cancer Centre; University of Ottawa","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Usability; Psychological intervention; Session (web analytics); Family caregivers; Descriptive statistics; Psychology; Focus group; Adaptation (eye); Medicine; Family medicine; Physical therapy; Nursing; Computer science; World Wide Web","score_opus":0.026569723210919154,"score_gpt":0.32077913086911347,"score_spread":0.2942094076581943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386033111","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":[0.9964199,0.00019636589,0.0018229921,0.000201386,0.000037525006,0.0005814058,0.00005502721,0.00005400479,0.00063129177],"genre_scores_gemma":[0.9848114,0.00047021935,0.011878468,0.00025282,0.000029643428,0.0016582531,0.00008221817,0.00004288664,0.000773965],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9963642,0.0027862638,0.00023999471,0.00015803972,0.00026548983,0.00018601718],"domain_scores_gemma":[0.98965657,0.008242442,0.0005617206,0.00050955947,0.00056440814,0.00046541786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009742506,0.00058520684,0.000610309,0.00042475804,0.0010039337,0.0012127085,0.00067360385,0.00051353755,0.0017873803],"category_scores_gemma":[0.024085004,0.00032998878,0.0007024435,0.0002593414,0.0006985835,0.00082250976,0.00088656275,0.0005875312,0.00017952146],"study_design_candidate":"observational","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":[0.0037613374,0.012815596,0.07137262,0.006150433,0.00046435467,0.0021443402,0.34585854,0.002209417,0.019135704,0.00057655113,0.007976907,0.5275342],"study_design_scores_gemma":[0.0039670733,0.092006356,0.35003328,0.0037343407,0.002118136,0.0069469865,0.40147397,0.011759493,0.029396908,0.0015395221,0.095919564,0.0011044935],"about_ca_topic_score_codex":0.0014849197,"about_ca_topic_score_gemma":0.0033778835,"teacher_disagreement_score":0.009742506,"about_ca_system_score_codex":0.00070396473,"about_ca_system_score_gemma":0.0011608409,"threshold_uncertainty_score":0.051523924},"labels":[],"label_agreement":null},{"id":"W4386547124","doi":"10.3389/fdgth.2023.1198314","title":"Conducting a child injury prevention RCT in the wake of COVID-19: lessons learned for virtual human subjects research","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"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 Guelph","funders":"Western Michigan University","keywords":"Psychological intervention; Randomized controlled trial; Intervention (counseling); Data collection; Coronavirus disease 2019 (COVID-19); Psychology; Medicine; Medical education; Medical emergency; Nursing","score_opus":0.2954012440645295,"score_gpt":0.5221743799337594,"score_spread":0.22677313586922987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386547124","genre_codex":"protocol","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28335652,0.05005108,0.0688587,0.1542769,0.025590887,0.39343232,0.0021800827,0.001862518,0.020391034],"genre_scores_gemma":[0.27739805,0.01741414,0.344439,0.029899972,0.002710028,0.32478413,0.00073116634,0.00019042134,0.0024331072],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.7839663,0.18953016,0.010443958,0.0024999934,0.008972578,0.004586929],"domain_scores_gemma":[0.6817388,0.25267848,0.011878474,0.018952068,0.017529065,0.01722313],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.23575221,0.0014910124,0.0035578841,0.0020254056,0.0032905,0.0064152456,0.005923685,0.0044828486,0.005419647],"category_scores_gemma":[0.29686,0.0013064357,0.004702566,0.002279377,0.0029783156,0.00863085,0.0065380908,0.010185197,0.0006853692],"study_design_candidate":"not_applicable","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":[0.022943504,0.045385126,0.008910663,0.056472022,0.0035093063,0.0011017959,0.020379618,0.0030839192,0.0012147875,0.021681279,0.054716013,0.76060194],"study_design_scores_gemma":[0.18645418,0.1885066,0.048105806,0.19654217,0.010314458,0.00094469264,0.040145077,0.010991344,0.0077821584,0.053724483,0.25550625,0.0009828496],"about_ca_topic_score_codex":0.0058881096,"about_ca_topic_score_gemma":0.02279886,"teacher_disagreement_score":0.7642478,"about_ca_system_score_codex":0.0072987587,"about_ca_system_score_gemma":0.040043693,"threshold_uncertainty_score":0.94245356},"labels":[],"label_agreement":null},{"id":"W4386917747","doi":"10.3389/fdgth.2023.1144075","title":"Telehealth nursing interventions for phenotypes of older adults with COPD: an exploratory study","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Telehealth; Psychological intervention; COPD; Medicine; Exploratory research; Nursing Interventions Classification; Physical therapy; Telemedicine; Nursing; Internal medicine; Health care","score_opus":0.033505548069680195,"score_gpt":0.36328590939822414,"score_spread":0.32978036132854394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386917747","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":[0.99737656,0.00042330625,0.00021989759,0.000076563876,0.000005662816,0.001209723,0.00021980953,0.00000304547,0.00046542758],"genre_scores_gemma":[0.9944951,0.00043897505,0.0010543255,0.00021179968,0.000020746542,0.0033457878,0.00021650744,0.0000017755808,0.0002149152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973152,0.0015927894,0.00032423052,0.00017090295,0.00031433982,0.00028250398],"domain_scores_gemma":[0.99576277,0.0020924655,0.0010407489,0.00032922006,0.00047080856,0.00030399076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048152334,0.0005621079,0.00090433133,0.00094748096,0.0008904519,0.0008563097,0.0005963368,0.0007792335,0.0027914469],"category_scores_gemma":[0.008392484,0.0002792844,0.0017332383,0.0010255729,0.0005077987,0.0009938731,0.0009347502,0.0006056677,0.0003417341],"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":[0.013236256,0.03429583,0.80488724,0.0042986716,0.0017332444,0.00060926215,0.027592573,0.00039489806,0.0022294505,0.0004822458,0.0008394686,0.109400876],"study_design_scores_gemma":[0.00401029,0.066518135,0.9004895,0.0015491256,0.0010166013,0.0005216488,0.020989234,0.0006493461,0.00095415884,0.0005208304,0.0027177918,0.00006341004],"about_ca_topic_score_codex":0.0025201137,"about_ca_topic_score_gemma":0.0038808822,"teacher_disagreement_score":0.0048152334,"about_ca_system_score_codex":0.0007285241,"about_ca_system_score_gemma":0.0018686712,"threshold_uncertainty_score":0.025465727},"labels":[],"label_agreement":null},{"id":"W4386957605","doi":"10.3389/fdgth.2023.1242214","title":"Leveraging machine learning and prescriptive analytics to improve operating room throughput","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Carleton University; University of Ottawa","funders":"","keywords":"Overtime; Staffing; Computer science; Schedule; Throughput; Operations management; Medicine; Engineering","score_opus":0.04776962174622436,"score_gpt":0.3844907099652903,"score_spread":0.33672108821906593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386957605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39389834,0.0028711844,0.5731135,0.0042009,0.0006313408,0.0003955063,0.0055089057,0.01017406,0.009206257],"genre_scores_gemma":[0.87387604,0.00050936255,0.12000265,0.00024881115,0.00021905302,0.00012223652,0.003394556,0.00022515288,0.0014020309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981706,0.0005594833,0.00017202404,0.0004095401,0.00045788896,0.00023036818],"domain_scores_gemma":[0.9906054,0.005762941,0.0010589244,0.00087029184,0.0012054193,0.00049700314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029200383,0.0018900279,0.001156061,0.0018971909,0.0003946614,0.0019700797,0.0013563696,0.00069383485,0.0021400882],"category_scores_gemma":[0.01807556,0.0004987039,0.0008519941,0.0022721642,0.00040837916,0.0023446598,0.000973202,0.0017306553,0.0010743681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069722626,0.0010400799,0.049866278,0.00031250995,0.00015343328,0.000119346485,0.00016743987,0.69004774,0.0029055595,0.0021725202,0.0063006743,0.24621725],"study_design_scores_gemma":[0.000015509146,0.00010741123,0.0029290984,0.000024559033,0.00001627466,0.000018828268,0.000045743553,0.99180424,0.0012407717,0.0029137721,0.0008658105,0.000018029396],"about_ca_topic_score_codex":0.010461462,"about_ca_topic_score_gemma":0.012291359,"teacher_disagreement_score":0.010461462,"about_ca_system_score_codex":0.0011385465,"about_ca_system_score_gemma":0.00294667,"threshold_uncertainty_score":0.020801127},"labels":[],"label_agreement":null},{"id":"W4387136560","doi":"10.3389/fdgth.2023.1197362","title":"Female youth and mental health service providers' perspectives on the JoyPop™ app: a qualitative study","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Alberta; Thunder Bay Regional Health Sciences Centre; Lakehead University","funders":"Canadian Institutes of Health Research; Lakehead University; McMaster University","keywords":"Mental health; Feeling; Service provider; mHealth; Psychology; Clinical psychology; Applied psychology; Nursing; Medical education; Service (business); Psychological intervention; Medicine; Psychiatry; Social psychology","score_opus":0.06351785703257803,"score_gpt":0.4238276511654425,"score_spread":0.36030979413286446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387136560","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":[0.9903032,0.0007881526,0.0015820266,0.0019317192,0.00009045518,0.00055335055,0.0002976273,0.000014083898,0.004439392],"genre_scores_gemma":[0.99197453,0.0014370396,0.001269514,0.0011616965,0.0000406684,0.0009956746,0.00013713942,0.0000231745,0.0029605834],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995424,0.002730367,0.00015187204,0.00029085815,0.00034188843,0.001061062],"domain_scores_gemma":[0.99322456,0.0045498805,0.00054061704,0.00010052945,0.00065303035,0.00093143655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075628143,0.0006328914,0.00077035447,0.0016832943,0.008400755,0.0038605935,0.0012384971,0.0014947398,0.004351535],"category_scores_gemma":[0.008967015,0.0006502818,0.0005829803,0.0019120278,0.0049460186,0.0024048372,0.0046342555,0.0024280723,0.00044731755],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002474041,0.000058981157,0.004054029,0.00013736016,0.0000031181278,0.0009508148,0.98974776,0.000016995584,0.0005550956,0.00058916875,0.00040080494,0.0034611193],"study_design_scores_gemma":[0.0000025205443,0.000032006737,0.0017018075,0.00014491245,0.0000030562967,0.00022026995,0.9942379,0.000032578802,0.00012859424,0.000073215124,0.0034179273,0.00000527351],"about_ca_topic_score_codex":0.012324375,"about_ca_topic_score_gemma":0.019984962,"teacher_disagreement_score":0.012324375,"about_ca_system_score_codex":0.00558335,"about_ca_system_score_gemma":0.005032648,"threshold_uncertainty_score":0.040510178},"labels":[],"label_agreement":null},{"id":"W4387340734","doi":"10.3389/fdgth.2023.1257009","title":"Understanding acceptance of contactless monitoring technology in home-based dementia care: a cross-sectional survey study among informal caregivers","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":8,"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":"ZonMw; Deutsche Alzheimer Gesellschaft; Alzheimer Society","keywords":"Dementia; Cross-sectional study; Applied psychology; Psychology; Medicine","score_opus":0.06768280842537532,"score_gpt":0.36386912799609444,"score_spread":0.2961863195707191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387340734","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":[0.99968493,0.00007716431,0.000033254993,0.000027797782,0.0000016092824,0.0000097991115,0.000033482273,6.8487384e-7,0.00013124701],"genre_scores_gemma":[0.9996018,0.00013786637,0.00006343555,0.00004658893,0.0000018862507,0.000022451035,0.00004830186,6.425496e-7,0.00007694178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998909,0.00040903693,0.00017087025,0.000109840155,0.00023580431,0.00016547434],"domain_scores_gemma":[0.99636924,0.0012472824,0.00121693,0.000106697,0.00061821786,0.0004415228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003076911,0.00024914937,0.00048951333,0.0008417869,0.0006051415,0.0011480345,0.00034526043,0.00059296447,0.0010641321],"category_scores_gemma":[0.006827685,0.00035404527,0.0004135914,0.0007813184,0.00055989873,0.0009921673,0.00078598416,0.00065161375,0.00017969169],"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":[0.00004311717,0.00014461554,0.9805777,0.00008469132,0.000029804392,0.0001797416,0.014892729,0.00002580418,0.00024073885,0.000025255129,0.00010652364,0.0036492653],"study_design_scores_gemma":[0.000007915941,0.0004013521,0.93891484,0.00009579061,0.00002904054,0.00044505522,0.05914634,0.0002108655,0.00011926338,0.00003449156,0.00058056216,0.000014450502],"about_ca_topic_score_codex":0.0077052517,"about_ca_topic_score_gemma":0.0075248512,"teacher_disagreement_score":0.0077052517,"about_ca_system_score_codex":0.00043689233,"about_ca_system_score_gemma":0.00044171335,"threshold_uncertainty_score":0.016272426},"labels":[],"label_agreement":null},{"id":"W4387406923","doi":"10.3389/fdgth.2023.1252227","title":"Effect of electronic health records on doctor-patient relationship in Arabian gulf countries: a systematic review","year":2023,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"PsycINFO; MEDLINE; Medicine; Family medicine; Systematic review; Developing country; Health care; Electronic health record; Health records; Medical record; Scale (ratio); Medical education; Geography; Political science","score_opus":0.05685699748583032,"score_gpt":0.45163919945529396,"score_spread":0.3947822019694636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387406923","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005142466,0.9933003,0.00012056632,0.00032262452,0.00008599075,0.00035748404,0.00034038542,0.000004756214,0.00032534287],"genre_scores_gemma":[0.06571782,0.9313437,0.0008811697,0.0006894118,0.00008382647,0.0009041145,0.00026677776,0.000005521457,0.00010770709],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98061955,0.008651605,0.0063721733,0.0010084248,0.002959492,0.0003886656],"domain_scores_gemma":[0.918024,0.060368255,0.014951882,0.0008048277,0.0053393706,0.00051176915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01563779,0.0010478557,0.005837215,0.007937829,0.0007692288,0.0025623974,0.0015650548,0.0018121274,0.003077461],"category_scores_gemma":[0.06449418,0.00082200405,0.005981016,0.010061412,0.0010861891,0.0026872095,0.0016222997,0.0010105165,0.00017717981],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036478942,0.000032988144,0.0030034818,0.95636255,0.008708343,0.000096602394,0.0004186857,0.00006833067,0.00008181932,0.00014402762,0.0005828468,0.03013551],"study_design_scores_gemma":[0.00041226638,0.0004122725,0.011228559,0.9176898,0.060107082,0.0003691978,0.00086248474,0.00008997751,0.00022191291,0.00015918679,0.008411755,0.000035504945],"about_ca_topic_score_codex":0.0068899384,"about_ca_topic_score_gemma":0.01758516,"teacher_disagreement_score":0.01563779,"about_ca_system_score_codex":0.0037643227,"about_ca_system_score_gemma":0.012762485,"threshold_uncertainty_score":0.082701504},"labels":[],"label_agreement":null},{"id":"W4388458047","doi":"10.3389/fdgth.2023.1263488","title":"Gender transformative approaches in mHealth for maternal healthcare in sub-Saharan Africa: a systematic review","year":2023,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"CINAHL; Transformative learning; PsycINFO; mHealth; Psychological intervention; Digital health; Health care; Systematic review; MEDLINE; Medicine; Psychology; Nursing; Political science; Developmental psychology","score_opus":0.26556668353868157,"score_gpt":0.45791937629485774,"score_spread":0.19235269275617617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388458047","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007453106,0.9978688,0.00015469508,0.00029335005,0.00011250174,0.00041350166,0.00009803259,0.0000051362317,0.00030873003],"genre_scores_gemma":[0.010921206,0.98675656,0.00082338654,0.00043783875,0.00006989974,0.0008467401,0.000062019346,0.0000029923845,0.00007934786],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9869385,0.0066285627,0.0031549437,0.00069696305,0.0021697655,0.00041127822],"domain_scores_gemma":[0.96616703,0.026428267,0.004492949,0.00040681835,0.0021592756,0.00034569716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0152751515,0.0015709448,0.005726621,0.011557893,0.0011044292,0.00351374,0.0017054977,0.001993387,0.0049828133],"category_scores_gemma":[0.056018025,0.0008915722,0.006645597,0.010483867,0.0013601423,0.003580029,0.002223918,0.0015344884,0.00028011962],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017881714,0.000038703056,0.0005092404,0.90489465,0.0033861697,0.00007802091,0.0006728508,0.00008362076,0.000106647945,0.00052811386,0.0009978918,0.08852521],"study_design_scores_gemma":[0.00013992525,0.00018687514,0.0018854516,0.9600374,0.018185303,0.0001715823,0.0008046603,0.0000546875,0.00014189864,0.00034019887,0.018026128,0.000025813732],"about_ca_topic_score_codex":0.008015955,"about_ca_topic_score_gemma":0.022307344,"teacher_disagreement_score":0.0152751515,"about_ca_system_score_codex":0.005222855,"about_ca_system_score_gemma":0.024003869,"threshold_uncertainty_score":0.080783665},"labels":[],"label_agreement":null},{"id":"W4388524014","doi":"10.3389/fdgth.2023.1278186","title":"Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chatbot; Ignorance; Mental health; Internet privacy; Psychology; Health care; Psychotherapist; Computer science; Artificial intelligence; Political science","score_opus":0.07168531214064612,"score_gpt":0.3881667087742972,"score_spread":0.3164813966336511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388524014","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":[0.3761837,0.0140654845,0.07579269,0.19140328,0.0014346833,0.00035841131,0.00017819549,0.0004920203,0.34009162],"genre_scores_gemma":[0.9648737,0.0031885921,0.009642237,0.008485997,0.00021277045,0.00014604935,0.000053370914,0.000109855086,0.0132872965],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99016166,0.0075801914,0.00016315913,0.0005302543,0.0006539648,0.0009108812],"domain_scores_gemma":[0.97669446,0.016771719,0.0019846458,0.0005147328,0.0014883779,0.0025461225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012021964,0.0005474537,0.0003633373,0.0016248024,0.006988216,0.014272344,0.0028108722,0.0062002228,0.006047562],"category_scores_gemma":[0.024979658,0.00062551774,0.0005287361,0.0005861544,0.014319877,0.020753488,0.006533113,0.0055592833,0.0016349879],"study_design_candidate":"not_applicable","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":[0.00014227128,0.00021121938,0.0121624945,0.0005591558,0.000021269509,0.0013971718,0.68186396,0.0008626306,0.0009801218,0.24385114,0.01105316,0.046895437],"study_design_scores_gemma":[0.000048325397,0.00020357824,0.008275607,0.0020969056,0.00006322132,0.0017115441,0.65141165,0.017154288,0.00084164325,0.09119212,0.22687942,0.000121697725],"about_ca_topic_score_codex":0.014484101,"about_ca_topic_score_gemma":0.014282336,"teacher_disagreement_score":0.014484101,"about_ca_system_score_codex":0.0072913417,"about_ca_system_score_gemma":0.0053483243,"threshold_uncertainty_score":0.06357896},"labels":[],"label_agreement":null},{"id":"W4388973500","doi":"10.3389/fdgth.2023.1265120","title":"Building resilience through daily smartphone app use: results of a pilot study of the JoyPop app with social work students","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Lakehead University; McGill University","keywords":"Psychological intervention; Affect (linguistics); Gee; Psychology; Generalized estimating equation; Stressor; Social support; Psychological resilience; Neurocognitive; Social cognitive theory; Clinical psychology; Gerontology; Developmental psychology; Cognition; Medicine; Psychiatry; Social psychology","score_opus":0.05516697067095424,"score_gpt":0.38985076439717653,"score_spread":0.3346837937262223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388973500","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":[0.99872106,0.000024759524,0.00015928799,0.000044989225,0.000009146472,0.0005911875,0.00006837327,0.000011952969,0.000369162],"genre_scores_gemma":[0.9929363,0.0002699026,0.0024406272,0.00022040746,0.00003054889,0.0022858111,0.00017168476,0.00002186894,0.0016227791],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9975744,0.0011261381,0.00017861204,0.00029235735,0.0003394627,0.00048897456],"domain_scores_gemma":[0.99295396,0.0031103045,0.0005769595,0.0005498109,0.0013881928,0.0014207552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005736376,0.0010366979,0.000964919,0.00095876714,0.0021878548,0.0017967066,0.0009566972,0.000921061,0.002549867],"category_scores_gemma":[0.010577273,0.0007411696,0.0010705822,0.0004227369,0.0012333444,0.0015054984,0.0019819848,0.0016377852,0.0010346397],"study_design_candidate":"observational","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":[0.0071758083,0.25232953,0.25084224,0.0027282203,0.00087455165,0.0036738522,0.21777295,0.000791051,0.015635675,0.00032576395,0.0037997074,0.24405067],"study_design_scores_gemma":[0.0020861542,0.18180452,0.6336834,0.00059306767,0.00091371563,0.0016295734,0.15774968,0.0020774286,0.008037451,0.0005242796,0.010579661,0.0003211153],"about_ca_topic_score_codex":0.0039705965,"about_ca_topic_score_gemma":0.009002047,"teacher_disagreement_score":0.005736376,"about_ca_system_score_codex":0.000685787,"about_ca_system_score_gemma":0.001606661,"threshold_uncertainty_score":0.030337214},"labels":[],"label_agreement":null},{"id":"W4390111293","doi":"10.3389/fdgth.2023.1289373","title":"Power of narrative: a case study about documenting private insightful experiences while dealing with pain and associated disability","year":2023,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Thematic analysis; Narrative; Chronic pain; Coding (social sciences); Qualitative research; Psychology; Medicine; Applied psychology; Psychiatry; Sociology","score_opus":0.016805803238164684,"score_gpt":0.30268049810168507,"score_spread":0.2858746948635204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390111293","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":[0.92885125,0.0050542485,0.012231598,0.016609648,0.00049425586,0.0006065557,0.00029816752,0.00011577258,0.035738423],"genre_scores_gemma":[0.98112464,0.0027803085,0.0048438464,0.0016151683,0.00011612216,0.00026041342,0.000090212154,0.00010894258,0.009060343],"study_design_codex":"qualitative","study_design_gemma":"case_report","domain_scores_codex":[0.9867257,0.009753889,0.00042773935,0.0006840596,0.0012743527,0.0011342437],"domain_scores_gemma":[0.97553945,0.018216636,0.002445275,0.0008110185,0.00090515614,0.002082549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010198685,0.0013190736,0.00086175173,0.003465633,0.014182257,0.0075993002,0.0033018575,0.0045453585,0.004314999],"category_scores_gemma":[0.03177496,0.0009821198,0.0010325738,0.0023026317,0.014382958,0.010138802,0.009518258,0.0050934083,0.0007370794],"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":[0.000030213296,0.00004416806,0.0014651002,0.0002050073,0.000008220752,0.020180544,0.96889883,0.00005124953,0.00044812358,0.0031054204,0.0010675015,0.0044955947],"study_design_scores_gemma":[0.000008234853,0.000055012722,0.001124749,0.00044688725,0.000012459885,0.026886296,0.9318636,0.00020522816,0.00045425643,0.0014074255,0.037506364,0.000029572464],"about_ca_topic_score_codex":0.0053371927,"about_ca_topic_score_gemma":0.013046886,"teacher_disagreement_score":0.014182257,"about_ca_system_score_codex":0.005243433,"about_ca_system_score_gemma":0.0039682533,"threshold_uncertainty_score":0.053936422},"labels":[],"label_agreement":null},{"id":"W4391228184","doi":"10.3389/fdgth.2023.1212694","title":"An investigation of mHealth and digital health literacy among new parents during COVID-19","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fanshawe College; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Digital health; Digital literacy; mHealth; Psychology; Health literacy; Pandemic; Digital media; Literacy; Health care; Medical education; Coronavirus disease 2019 (COVID-19); Medicine; Political science; Pedagogy; Psychological intervention; Psychiatry","score_opus":0.0405318173950402,"score_gpt":0.43114405422977925,"score_spread":0.39061223683473906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391228184","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":[0.99866176,0.00013097521,0.0000389112,0.00018547355,0.000009056219,0.00006423612,0.00017240274,0.0000012267976,0.000735967],"genre_scores_gemma":[0.99863356,0.00036480048,0.00013148061,0.00019741681,0.000008498095,0.00009210657,0.0001513516,0.0000014769107,0.00041927115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994143,0.00015359852,0.000057384572,0.000055771474,0.0001593215,0.00015965583],"domain_scores_gemma":[0.9972077,0.0006457312,0.000858595,0.000090695175,0.0006793179,0.0005179499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014116883,0.00014709111,0.00022034463,0.00070464093,0.0019198633,0.0010702569,0.0003158236,0.00049448066,0.0014814825],"category_scores_gemma":[0.005561907,0.0003665698,0.00024438516,0.0006746466,0.00051738956,0.00075757114,0.0008820225,0.0010578024,0.0001428595],"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":[0.00003761674,0.00014679677,0.9580806,0.000047062604,0.000007516119,0.00056159135,0.034126393,0.000007918605,0.00024016341,0.000047026395,0.000553418,0.006143872],"study_design_scores_gemma":[0.0000035430826,0.00027396818,0.9177119,0.0000934697,0.000008963807,0.00037615286,0.079632565,0.00005107338,0.00011760131,0.00001767471,0.0017026806,0.000010473377],"about_ca_topic_score_codex":0.12618832,"about_ca_topic_score_gemma":0.16687897,"teacher_disagreement_score":0.12618832,"about_ca_system_score_codex":0.0018451842,"about_ca_system_score_gemma":0.0025936116,"threshold_uncertainty_score":0.25090766},"labels":[],"label_agreement":null},{"id":"W4391320577","doi":"10.3389/fdgth.2024.1329630","title":"INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Research Data Management Practices","field":"Computer Science","cited_by":10,"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; Wellcome Trust; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Cloud computing; Computer science; Metadata; Data integration; Data science; Interoperability; Population; World Wide Web; Database","score_opus":0.1937148485629657,"score_gpt":0.420932886635147,"score_spread":0.2272180380721813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391320577","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011689574,0.0017842917,0.6224988,0.009202453,0.0005258731,0.0027817888,0.08199838,0.23707007,0.03244871],"genre_scores_gemma":[0.08955439,0.0018213573,0.7365083,0.0035487257,0.00032856938,0.0042360513,0.13452372,0.02097269,0.008506092],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98922217,0.0032858562,0.0012360164,0.0023605146,0.0031365014,0.00075897545],"domain_scores_gemma":[0.96716577,0.0100875925,0.002505279,0.013492616,0.0036039322,0.003144845],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.030043453,0.0015551249,0.0013894804,0.0072305286,0.0018018485,0.006049973,0.005393603,0.0018291267,0.014883386],"category_scores_gemma":[0.05190809,0.001746225,0.002112951,0.0075086085,0.0018818831,0.009351476,0.017080659,0.0030490132,0.008334986],"study_design_candidate":"bench_or_experimental","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":[0.0022350645,0.00056511635,0.027059324,0.0030650054,0.00067977194,0.0012307097,0.008064265,0.010102754,0.021641271,0.105719656,0.40663183,0.41300526],"study_design_scores_gemma":[0.0004207591,0.00019014394,0.0134668145,0.0012460452,0.00012777242,0.0005626976,0.0013768998,0.0318306,0.015696254,0.061759945,0.87297934,0.00034265817],"about_ca_topic_score_codex":0.011378314,"about_ca_topic_score_gemma":0.006473746,"teacher_disagreement_score":0.9946064,"about_ca_system_score_codex":0.0023160593,"about_ca_system_score_gemma":0.009110055,"threshold_uncertainty_score":0.15888685},"labels":[],"label_agreement":null},{"id":"W4391783769","doi":"10.3389/fdgth.2024.1346039","title":"The paradoxes of telehealth platforms: what did we learn from the use of telehealth platforms?","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Université de Montréal; Ministère de la Santé; Fonds de Recherche du Québec - Santé; Ministère de la Santé et des Services sociaux","keywords":"Telehealth; Context (archaeology); General partnership; Health professionals; Telemedicine; Telecare; Coronavirus disease 2019 (COVID-19); Health care; Nursing; Business; Medicine; Psychology; Political science","score_opus":0.050541765341569816,"score_gpt":0.3296646173472714,"score_spread":0.27912285200570164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391783769","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36759958,0.08133234,0.026403911,0.49158344,0.0031236035,0.0005566736,0.0001971702,0.00009570311,0.029107573],"genre_scores_gemma":[0.91400796,0.03992938,0.010991376,0.0317911,0.0008935601,0.0004508804,0.00007248506,0.0000986297,0.001764659],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.8936585,0.08023002,0.00364502,0.0040318808,0.014704001,0.0037305946],"domain_scores_gemma":[0.6604314,0.30450946,0.009459885,0.005347519,0.017023215,0.003228535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.12084556,0.00086071325,0.0017113506,0.0038030418,0.007318929,0.021775097,0.0035268054,0.0060189897,0.0014421125],"category_scores_gemma":[0.16771147,0.0009397415,0.0010352194,0.0042913915,0.029706288,0.04330764,0.012026446,0.012519788,0.00025807184],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100464036,0.00020093775,0.008122631,0.005072064,0.00008144738,0.0011194606,0.7831465,0.00021141967,0.0005319684,0.06584741,0.0055233887,0.13004228],"study_design_scores_gemma":[0.000021958915,0.00025665486,0.0048878356,0.006553478,0.000056929613,0.000821218,0.8996093,0.00035097828,0.0008706004,0.031025,0.05546104,0.00008485822],"about_ca_topic_score_codex":0.004747443,"about_ca_topic_score_gemma":0.0065176343,"teacher_disagreement_score":0.12084556,"about_ca_system_score_codex":0.011475801,"about_ca_system_score_gemma":0.018109698,"threshold_uncertainty_score":0.6391001},"labels":[],"label_agreement":null},{"id":"W4391991259","doi":"10.3389/fdgth.2024.1365726","title":"Editorial: Technology innovations for violence prevention, mental wellness and resilience among youth","year":2024,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Resilience and Mental Health","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Resilience (materials science); Mental health; Psychology; Psychological resilience; Psychiatry; Social psychology","score_opus":0.009653305463854199,"score_gpt":0.3517246679257593,"score_spread":0.3420713624619051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391991259","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022938462,0.0057582525,0.00006214311,0.037879586,0.9549441,0.000034880744,0.00006188999,0.000032342246,0.0012037462],"genre_scores_gemma":[0.00024940603,0.004123507,0.0000631621,0.03026241,0.95918596,0.000051664752,0.000028589267,0.00003103596,0.0060042576],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9909849,0.0019115919,0.0011433496,0.000945813,0.0044240025,0.0005903923],"domain_scores_gemma":[0.96108913,0.019662088,0.0026129256,0.00071747537,0.011256668,0.0046617608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011953757,0.0051049013,0.005716451,0.0051644742,0.005095934,0.010943607,0.0046356153,0.032238375,0.026086695],"category_scores_gemma":[0.051850766,0.0016718499,0.004505062,0.0023703205,0.0028801484,0.005772735,0.0031072854,0.02418273,0.013141193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025849284,0.000014888754,0.000013183889,0.0002340029,0.000018231265,0.000051863135,0.000010437652,0.000012209323,0.00002133698,0.0001026753,0.99678755,0.0027077084],"study_design_scores_gemma":[0.0002849685,0.00005974005,0.00036124038,0.001771751,0.00018991686,0.00020791536,0.00009635695,0.00018070324,0.00008413368,0.0013294349,0.9953967,0.00003723624],"about_ca_topic_score_codex":0.0038050418,"about_ca_topic_score_gemma":0.009987883,"teacher_disagreement_score":0.032238375,"about_ca_system_score_codex":0.0047212406,"about_ca_system_score_gemma":0.0067960094,"threshold_uncertainty_score":0.08726865},"labels":[],"label_agreement":null},{"id":"W4392507767","doi":"10.3389/fdgth.2024.1265846","title":"Multidimensional digital biomarker phenotypes for mild cognitive impairment: considerations for early identification, diagnosis and monitoring","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Government of Alberta","keywords":"Biomarker; Identification (biology); Population; Computer science; Cognition; Medicine; Psychiatry; Biology","score_opus":0.04010375472802818,"score_gpt":0.3575258662311606,"score_spread":0.31742211150313243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392507767","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05480081,0.29800662,0.1752978,0.42932826,0.004892432,0.0009929938,0.0030132118,0.0010463559,0.032621466],"genre_scores_gemma":[0.43068078,0.12749225,0.39807644,0.029018791,0.0053036353,0.0021633457,0.0022118872,0.00019629563,0.0048565087],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949384,0.002686305,0.00063676556,0.00043384562,0.001122398,0.00018230698],"domain_scores_gemma":[0.9647616,0.019292336,0.0026913504,0.0020544638,0.0091106845,0.0020895973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015732914,0.0014071581,0.0021752198,0.003732183,0.0012189286,0.0057018106,0.0023858265,0.0027965326,0.006170942],"category_scores_gemma":[0.05523129,0.00060090906,0.0014118192,0.0017984204,0.0033876416,0.008091506,0.0035611365,0.0055156574,0.0016184656],"study_design_candidate":"theoretical_or_conceptual","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":[0.0007382189,0.00035858268,0.09756247,0.0027738193,0.00032333945,0.0008978509,0.0015604966,0.0023007856,0.0030583357,0.056314904,0.060776062,0.7733353],"study_design_scores_gemma":[0.00027150603,0.0016302174,0.17338164,0.021774491,0.0013565571,0.0116375275,0.009565498,0.027894275,0.0053913277,0.49706292,0.24921635,0.0008176566],"about_ca_topic_score_codex":0.0050319913,"about_ca_topic_score_gemma":0.009987793,"teacher_disagreement_score":0.015732914,"about_ca_system_score_codex":0.0021655364,"about_ca_system_score_gemma":0.0058645685,"threshold_uncertainty_score":0.08320463},"labels":[],"label_agreement":null},{"id":"W4392516007","doi":"10.3389/fdgth.2024.1341475","title":"Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Deutsche Forschungsgemeinschaft","keywords":"Interoperability; Raw data; Computer science; Interface (matter); Data integration; Database; Hospital information system; System integration; Data collection; User interface; Medical record; Information system; Medicine; World Wide Web; Engineering","score_opus":0.05199498848772456,"score_gpt":0.3943907104538513,"score_spread":0.3423957219661268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392516007","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1066374,0.0019375347,0.86358684,0.003157497,0.00019950686,0.001066098,0.0041866135,0.01141722,0.0078113554],"genre_scores_gemma":[0.47947904,0.0011086375,0.5008388,0.000978839,0.00031833272,0.0009401233,0.013640051,0.00092409627,0.0017720715],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9793118,0.007641277,0.003537677,0.0032661208,0.0052912496,0.0009518233],"domain_scores_gemma":[0.9772569,0.0075024543,0.0022761328,0.007562772,0.004464849,0.0009368195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024175812,0.00084473053,0.00097403646,0.00468463,0.0005606156,0.0054540215,0.0024975687,0.0014417034,0.0019107561],"category_scores_gemma":[0.03242339,0.0006230682,0.0009002773,0.004466641,0.0011829822,0.0065703094,0.0072721867,0.0010635848,0.0021154447],"study_design_candidate":"not_applicable","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":[0.0014052439,0.0006351085,0.085323505,0.001108027,0.0003392767,0.0007300119,0.0026461643,0.008553734,0.022601472,0.022615751,0.015748398,0.8382934],"study_design_scores_gemma":[0.0010244208,0.0031594222,0.23623836,0.0025824276,0.000995533,0.004832819,0.006709965,0.2182642,0.1517523,0.1016591,0.272211,0.00057059596],"about_ca_topic_score_codex":0.0013806603,"about_ca_topic_score_gemma":0.00074091856,"teacher_disagreement_score":0.024175812,"about_ca_system_score_codex":0.0008901708,"about_ca_system_score_gemma":0.0029844858,"threshold_uncertainty_score":0.12785542},"labels":[],"label_agreement":null},{"id":"W4396554472","doi":"10.3389/fdgth.2024.1346085","title":"Sustaining e-health innovations in a complex hospital environment: learning through evidence","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Sustainability; Health care; Value proposition; Business; Process management; Scale (ratio); Knowledge management; Adaptation (eye); Resource (disambiguation); Process (computing); Key (lock); Marketing; Computer science; Psychology; Political science","score_opus":0.051143772335168605,"score_gpt":0.37254651947504536,"score_spread":0.32140274713987677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396554472","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18834779,0.44577464,0.05641516,0.20887135,0.0030537497,0.018862976,0.0023574042,0.0004131189,0.0759038],"genre_scores_gemma":[0.60832685,0.26066586,0.11137771,0.011467927,0.00068660174,0.004990548,0.0009756498,0.00010758213,0.0014012834],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9231853,0.044555534,0.01341543,0.003037693,0.013751523,0.0020544995],"domain_scores_gemma":[0.48662215,0.40037173,0.027748277,0.019070335,0.06152916,0.004658281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.13313635,0.001243942,0.0018989225,0.005405185,0.0019021626,0.01268783,0.005647998,0.0048319567,0.006312043],"category_scores_gemma":[0.3638519,0.00091299467,0.0018995444,0.005783851,0.0046352874,0.014725528,0.0066492306,0.0041637127,0.0010725954],"study_design_candidate":"observational","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":[0.00044781782,0.0021656489,0.03847255,0.08287824,0.0024726756,0.00046047522,0.0082632275,0.0018838403,0.0004382981,0.0260574,0.0067033777,0.8297564],"study_design_scores_gemma":[0.00091760536,0.0047778348,0.042037427,0.7197943,0.006500963,0.0006732932,0.030742478,0.0042488314,0.0039823186,0.058081314,0.12781534,0.0004282188],"about_ca_topic_score_codex":0.01158904,"about_ca_topic_score_gemma":0.024819952,"teacher_disagreement_score":0.13313635,"about_ca_system_score_codex":0.010236165,"about_ca_system_score_gemma":0.047054518,"threshold_uncertainty_score":0.7041007},"labels":[],"label_agreement":null},{"id":"W4396808761","doi":"10.3389/fdgth.2024.1382507","title":"Exploring the digital divide: results of a survey informing mobile application development","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Children's Hospital; McGill University Health Centre","funders":"","keywords":"Digital health; Digital divide; Internet privacy; Psychological intervention; Confidentiality; Health care; The Internet; Inclusion (mineral); Psychology; Digital media; Mobile technology; Mobile device; Medical education; Computer science; Medicine; Nursing; World Wide Web; Computer security; Political science; Social psychology","score_opus":0.10817280348310057,"score_gpt":0.389809726587156,"score_spread":0.2816369231040554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396808761","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":[0.99762315,0.000109200875,0.00035493047,0.00025861617,0.0000068261224,0.00023412492,0.0002298419,0.0000070234496,0.0011762653],"genre_scores_gemma":[0.9974892,0.00034830632,0.00083783024,0.00037901543,0.000009692722,0.00033827696,0.00019228387,0.0000054307766,0.00039994897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956637,0.0020687387,0.0006011741,0.00024040166,0.00080440234,0.0006216509],"domain_scores_gemma":[0.97801137,0.011659026,0.004589966,0.00072022754,0.0035492666,0.001470065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008358541,0.0002730643,0.000341797,0.0013260159,0.0009313387,0.0013628016,0.0003083407,0.0007379906,0.0012888139],"category_scores_gemma":[0.025831433,0.0002915315,0.0005008357,0.0011446418,0.0007334239,0.0014459753,0.0019518676,0.0009312508,0.0003717012],"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":[0.00012536622,0.0006481916,0.88523114,0.0003022166,0.000031773903,0.00043326418,0.071360946,0.000083252904,0.0008850217,0.00016490633,0.0011240805,0.039609786],"study_design_scores_gemma":[0.00002783447,0.0015342217,0.84856725,0.0003314951,0.000063252046,0.0007602655,0.1391557,0.00052087376,0.00082937384,0.00014936496,0.00802178,0.00003863033],"about_ca_topic_score_codex":0.0024911074,"about_ca_topic_score_gemma":0.0021954137,"teacher_disagreement_score":0.008358541,"about_ca_system_score_codex":0.00083102204,"about_ca_system_score_gemma":0.0017330617,"threshold_uncertainty_score":0.044204712},"labels":[],"label_agreement":null},{"id":"W4399330802","doi":"10.3389/fdgth.2024.1344103","title":"Building national patient registries in Mexico: insights from the MexOMICS Consortium","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Biobank; Cognition; Population; Medicine; Family medicine; Gerontology; Environmental health; Psychiatry; Bioinformatics; Biology","score_opus":0.012040852100347324,"score_gpt":0.2731916667163682,"score_spread":0.26115081461602085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399330802","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":[0.79406923,0.009105627,0.015905106,0.10507762,0.00044305582,0.0008141684,0.044922687,0.00031069395,0.0293518],"genre_scores_gemma":[0.9081685,0.007819499,0.040119287,0.004725787,0.00059744105,0.002402,0.03345356,0.00015032756,0.002563624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98824835,0.0074856435,0.00083575345,0.001086461,0.0015776408,0.0007660486],"domain_scores_gemma":[0.9438981,0.023613319,0.014468988,0.0076204417,0.006968275,0.0034309765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031326015,0.00027073667,0.00034578863,0.0033681635,0.0016288899,0.0033088683,0.001585337,0.0009554301,0.0031585505],"category_scores_gemma":[0.06943796,0.00027975236,0.0004180538,0.006419775,0.00056105637,0.0021425437,0.0054979604,0.0010279132,0.0002359715],"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":[0.00024438274,0.00015821648,0.8660509,0.00023301269,0.00018368036,0.0003429824,0.004865073,0.00075196446,0.00021960337,0.01287797,0.032793023,0.08127921],"study_design_scores_gemma":[0.00022451225,0.00012749973,0.8642366,0.0017621102,0.00023120534,0.00060994545,0.010119565,0.0027283248,0.00037358538,0.00453694,0.11497721,0.00007256759],"about_ca_topic_score_codex":0.060199115,"about_ca_topic_score_gemma":0.056557894,"teacher_disagreement_score":0.060199115,"about_ca_system_score_codex":0.0035052786,"about_ca_system_score_gemma":0.010024794,"threshold_uncertainty_score":0.16566974},"labels":[],"label_agreement":null},{"id":"W4400429702","doi":"10.3389/fdgth.2024.1335289","title":"Emotion expressions and cognitive impairments in the elderly: review of the contactless detection approach","year":2024,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognition; Cognitive decline; Population; Facial expression; Psychology; Electroencephalography; Population ageing; Depression (economics); Medicine; Cognitive psychology; Psychiatry; Dementia; Pathology; Disease; Communication; Environmental health","score_opus":0.0523505534799188,"score_gpt":0.38344826567957613,"score_spread":0.33109771219965733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400429702","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000047874033,0.99952173,0.00003619323,0.0001121484,0.00005514899,0.0000032394905,0.000008178074,0.0000016016282,0.00021384115],"genre_scores_gemma":[0.00044551297,0.99921036,0.00007365296,0.00009620129,0.00007612727,0.0000066144767,0.000010338955,5.953738e-7,0.000080441154],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965334,0.00007834942,0.00008877323,0.00006871112,0.00009108354,0.000019795028],"domain_scores_gemma":[0.99835783,0.0012107987,0.0001368132,0.000022544116,0.00022557632,0.000046369973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010843022,0.0010356362,0.0019917777,0.0031901621,0.00037698634,0.0013134073,0.0009635611,0.0013088662,0.0029966515],"category_scores_gemma":[0.002217952,0.0003801528,0.001121747,0.0030172893,0.0007357821,0.0014477527,0.0008419381,0.001340842,0.0008392995],"study_design_candidate":"not_applicable","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":[0.00007948095,0.000068916816,0.00037262792,0.072912164,0.00024108186,0.00010983119,0.00021294865,0.0001560071,0.00034382218,0.0014913506,0.01103487,0.912977],"study_design_scores_gemma":[0.000050274648,0.0003499003,0.010431062,0.09815936,0.0018122984,0.0028743737,0.0006705009,0.00025521906,0.0006002561,0.0037194001,0.8809847,0.000092638606],"about_ca_topic_score_codex":0.0043170974,"about_ca_topic_score_gemma":0.0061818506,"teacher_disagreement_score":0.0043170974,"about_ca_system_score_codex":0.00082140934,"about_ca_system_score_gemma":0.0020361731,"threshold_uncertainty_score":0.010024786},"labels":[],"label_agreement":null},{"id":"W4401928408","doi":"10.3389/fdgth.2024.1372062","title":"Developing and testing a community based, online vs. face-to-face peer led intervention to improve mental well-being in Cambodian adults with physical disabilities","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":4,"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":"Queen's University; Queen's University Belfast","keywords":"Mental health; Worry; Intervention (counseling); Attrition; Peer support; Medicine; Focus group; Face-to-face; Wilcoxon signed-rank test; Distress; Psychology; Gerontology; Clinical psychology; Psychiatry; Anxiety","score_opus":0.028590806128864804,"score_gpt":0.3614480675773913,"score_spread":0.33285726144852645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401928408","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":[0.981743,0.00011802122,0.0006344338,0.00036287593,0.0000491065,0.014523935,0.000109167704,0.000040777355,0.0024185812],"genre_scores_gemma":[0.93513864,0.0004978838,0.017328028,0.0005253619,0.000045572964,0.0437493,0.00016959352,0.000009270222,0.0025363085],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9977266,0.0012002103,0.00015173056,0.0002771026,0.00023564539,0.0004086424],"domain_scores_gemma":[0.99828404,0.00074677606,0.00018590092,0.000095527466,0.00023931009,0.00044844975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039243237,0.0007594281,0.00076418096,0.00058696955,0.0013548661,0.0009486828,0.0016711553,0.00114047,0.0061056064],"category_scores_gemma":[0.0046116975,0.0004425974,0.0010382669,0.00030975824,0.0007836769,0.0010904435,0.0017577242,0.0010928322,0.00040832447],"study_design_candidate":"nonrandomized_trial","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":[0.014288476,0.28746375,0.025220443,0.00668373,0.00041950092,0.0008110427,0.030012382,0.002023005,0.015727475,0.0012724823,0.0022987314,0.61377895],"study_design_scores_gemma":[0.057450663,0.5634576,0.28564242,0.0031233267,0.0018972264,0.0003801389,0.044819515,0.0057667214,0.018909063,0.0017475337,0.016602939,0.00020290342],"about_ca_topic_score_codex":0.0062385974,"about_ca_topic_score_gemma":0.015028315,"teacher_disagreement_score":0.0062385974,"about_ca_system_score_codex":0.0019956678,"about_ca_system_score_gemma":0.005062515,"threshold_uncertainty_score":0.02075404},"labels":[],"label_agreement":null},{"id":"W4402201868","doi":"10.3389/fdgth.2024.1427845","title":"A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Wellcome Trust","keywords":"Receiver operating characteristic; Reproducibility; Consistency (knowledge bases); Mycophenolic acid; Transplantation; Machine learning; Medicine; Computer science; Tacrolimus; Artificial intelligence; Statistics; Internal medicine; Mathematics","score_opus":0.032366989037242944,"score_gpt":0.3519306700678004,"score_spread":0.31956368103055743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402201868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75073767,0.0011814302,0.24300046,0.0008904353,0.00012547105,0.00027566857,0.00071220216,0.0009584802,0.0021182613],"genre_scores_gemma":[0.95240945,0.00008527162,0.046753168,0.00008918374,0.00004538383,0.00008449208,0.00031952854,0.00007604109,0.00013737155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9777166,0.015065908,0.0016608494,0.0026178164,0.002521689,0.00041708938],"domain_scores_gemma":[0.84551936,0.1254923,0.010201336,0.010833138,0.006972677,0.0009811547],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.062316794,0.0013419713,0.0012166783,0.005234477,0.0010837265,0.0027869404,0.0017010553,0.0016461617,0.0006051784],"category_scores_gemma":[0.12396813,0.0003369353,0.002930402,0.003763241,0.0014359505,0.001753065,0.002697401,0.003007893,0.000168724],"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":[0.0010194092,0.00041680018,0.57262564,0.00017672607,0.0032539964,0.00041503806,0.0007883737,0.2759678,0.0022391046,0.0027849288,0.0013380802,0.13897422],"study_design_scores_gemma":[0.00006429191,0.0007283071,0.103972465,0.0000858498,0.00033500354,0.000396981,0.00034546418,0.88085735,0.0027298837,0.009467651,0.00090401014,0.00011272245],"about_ca_topic_score_codex":0.004776981,"about_ca_topic_score_gemma":0.0030555935,"teacher_disagreement_score":0.9376832,"about_ca_system_score_codex":0.0015513352,"about_ca_system_score_gemma":0.0019143615,"threshold_uncertainty_score":0.3295666},"labels":[],"label_agreement":null},{"id":"W4402846908","doi":"10.3389/fdgth.2024.1441334","title":"The effect of telemedicine employing telemonitoring instruments on readmissions of patients with heart failure and/or COPD: a systematic review","year":2024,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Patras; Johns Hopkins University","keywords":"Telemedicine; COPD; Heart failure; Medicine; Intensive care medicine; Medical emergency; Cardiology; Internal medicine; Health care; Political science","score_opus":0.01583113614413038,"score_gpt":0.3281558475365471,"score_spread":0.3123247113924167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402846908","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036595976,0.9950931,0.00014204152,0.00017345975,0.00009947693,0.00035558688,0.00026379523,0.000006925248,0.00020592276],"genre_scores_gemma":[0.05829029,0.93889886,0.000968279,0.00051586394,0.00013094314,0.00087672146,0.0002085061,0.000006466339,0.000104010694],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9871689,0.005252836,0.0047500217,0.00080784754,0.0017849688,0.00023547355],"domain_scores_gemma":[0.94519955,0.042530343,0.008646457,0.0005806579,0.002669133,0.00037392025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011640803,0.0012212563,0.008458759,0.009578751,0.0005044509,0.0022834134,0.0017046259,0.0019396454,0.0024697997],"category_scores_gemma":[0.051937666,0.0009794972,0.00880837,0.008849002,0.0008692974,0.0019233575,0.0012403323,0.0009829941,0.00016539614],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035065218,0.000024079374,0.0011934631,0.9573226,0.02034525,0.000081006285,0.00015681238,0.00007547937,0.00013872431,0.000080904065,0.0003661786,0.019864965],"study_design_scores_gemma":[0.00070646015,0.0008560724,0.0102862995,0.7450114,0.23394413,0.00052948296,0.00038283222,0.00017614708,0.00038689343,0.00018275657,0.0074883355,0.000049208058],"about_ca_topic_score_codex":0.0049861907,"about_ca_topic_score_gemma":0.012419163,"teacher_disagreement_score":0.011640803,"about_ca_system_score_codex":0.002961719,"about_ca_system_score_gemma":0.0074802195,"threshold_uncertainty_score":0.061563194},"labels":[],"label_agreement":null},{"id":"W4403952653","doi":"10.3389/fdgth.2024.1484818","title":"Workshop summaries from the 2024 voice AI symposium, presented by the Bridge2AI-voice consortium","year":2024,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":2,"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; Simon Fraser University","funders":"National Center for Advancing Translational Sciences; National Institute on Aging","keywords":"S Voice; Speech recognition; Computer science; Library science; Operating system","score_opus":0.028311632831678216,"score_gpt":0.3426651588535137,"score_spread":0.31435352602183547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403952653","genre_codex":"editorial","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007507986,0.027854016,0.018875897,0.20566036,0.50576556,0.002633865,0.009469622,0.0033741181,0.21885864],"genre_scores_gemma":[0.025705824,0.019488504,0.00953296,0.047673892,0.1053448,0.0030105663,0.01591615,0.0026016985,0.77072567],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964162,0.00090353476,0.00023621532,0.0005159267,0.0013373985,0.00059067376],"domain_scores_gemma":[0.98919964,0.0011423399,0.00039040725,0.0003175661,0.0048032706,0.004146663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008390933,0.0018759668,0.0008509961,0.0014191984,0.0021985131,0.0080171265,0.0020184778,0.004083258,0.16686393],"category_scores_gemma":[0.010832966,0.0004660302,0.0012255562,0.0007902767,0.0006295932,0.00358978,0.0055285227,0.0043431446,0.09187805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007960973,0.000033397788,0.00006298296,0.00017567478,0.0000047145454,0.00006845667,0.00015655176,0.000083090825,0.00059801235,0.00051298505,0.9798228,0.018401742],"study_design_scores_gemma":[0.000018476705,0.00005317575,0.00033282358,0.00019493369,0.0000049320834,0.00004787669,0.00042651827,0.00009721912,0.00025015805,0.0005088,0.9980464,0.000018772056],"about_ca_topic_score_codex":0.001690021,"about_ca_topic_score_gemma":0.0037487848,"teacher_disagreement_score":0.16686393,"about_ca_system_score_codex":0.0017771476,"about_ca_system_score_gemma":0.0044831526,"threshold_uncertainty_score":0.5582155},"labels":[],"label_agreement":null},{"id":"W4403957570","doi":"10.3389/fdgth.2024.1449129","title":"Centering equity, diversity, and inclusion in youth digital mental health: findings from a research, policy, and practice knowledge exchange workshop","year":2024,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; Izaak Walton Killam Health Centre; Nova Scotia Health Authority; Acadia University; Dalhousie University","funders":"","keywords":"Mental health; Equity (law); Inclusion (mineral); Diversity (politics); Psychology; Health equity; Political science; Public relations; Sociology; Psychiatry; Social psychology; Health care; Anthropology","score_opus":0.2702725450541445,"score_gpt":0.5313156681001695,"score_spread":0.261043123046025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403957570","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7786146,0.0026636661,0.006094707,0.16357931,0.001045847,0.002555608,0.00034283844,0.0001618889,0.04494149],"genre_scores_gemma":[0.9729921,0.0020798722,0.0063249343,0.011052226,0.00015027182,0.00145612,0.00016764115,0.00008281374,0.005693958],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.90943503,0.06852375,0.0021025802,0.0025783852,0.0050106174,0.01234962],"domain_scores_gemma":[0.8616606,0.081177995,0.003851747,0.0051892693,0.009245158,0.038875323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11379739,0.0007314738,0.0010186135,0.0028066305,0.039374936,0.01959591,0.006495854,0.008136811,0.00617103],"category_scores_gemma":[0.08239216,0.0010500377,0.0014254528,0.0024653242,0.016713109,0.01471055,0.06989128,0.012600892,0.00066454295],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013207972,0.0014746522,0.008110283,0.0006012092,0.000036492092,0.0013252582,0.911356,0.00024314226,0.00046746532,0.008492632,0.010931728,0.05682916],"study_design_scores_gemma":[0.00006136848,0.00014804148,0.0032821628,0.0008279453,0.00003050953,0.00016345525,0.9490482,0.00037580833,0.00046975305,0.003210645,0.04232526,0.00005683218],"about_ca_topic_score_codex":0.05687906,"about_ca_topic_score_gemma":0.09140112,"teacher_disagreement_score":0.11379739,"about_ca_system_score_codex":0.029956425,"about_ca_system_score_gemma":0.1274327,"threshold_uncertainty_score":0.6018253},"labels":[],"label_agreement":null},{"id":"W4404773505","doi":"10.3389/fdgth.2024.1399992","title":"It's late, but not too late to transform health systems: a global digital citizen science observatory for local solutions to global problems","year":2024,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Western University","funders":"Canada Research Chairs","keywords":"Observatory; Citizen science; Political science; Health science; Computer science; Meteorology; Environmental science; Regional science; Geography; Physics; Medicine; Astronomy","score_opus":0.028534415187737566,"score_gpt":0.3165752016743233,"score_spread":0.2880407864865857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404773505","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009665194,0.005804398,0.011935286,0.9424264,0.00862708,0.00017645939,0.00021134212,0.0005331444,0.020620678],"genre_scores_gemma":[0.33917588,0.016755091,0.070099846,0.50811857,0.009603259,0.0006912474,0.0011980354,0.0013558448,0.053002175],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98338586,0.010105898,0.00049118244,0.0015146158,0.0022028065,0.0022995225],"domain_scores_gemma":[0.9609754,0.01236078,0.0016402904,0.00480624,0.0038963004,0.016320905],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.034347143,0.0009935668,0.0008021371,0.0016179696,0.010194604,0.021111185,0.0024394405,0.012230814,0.010262934],"category_scores_gemma":[0.026420208,0.00076583144,0.001281419,0.0019899937,0.017095467,0.035016038,0.024290327,0.02000643,0.0030252032],"study_design_candidate":"theoretical_or_conceptual","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":[0.0002523132,0.00038740542,0.0062230434,0.00095365965,0.00009767541,0.0012562283,0.051593624,0.0007623815,0.0038051608,0.22576769,0.53646153,0.17243934],"study_design_scores_gemma":[0.0000483543,0.00015672084,0.0014928231,0.000619655,0.000025967736,0.00025478922,0.024464011,0.0005152561,0.00076272566,0.07379174,0.89779484,0.000073189476],"about_ca_topic_score_codex":0.003511093,"about_ca_topic_score_gemma":0.0044275033,"teacher_disagreement_score":0.99756056,"about_ca_system_score_codex":0.005958193,"about_ca_system_score_gemma":0.024760209,"threshold_uncertainty_score":0.18164724},"labels":[],"label_agreement":null},{"id":"W4404960801","doi":"10.3389/fdgth.2024.1484503","title":"Summary of Keynote Speeches from the 2024 Voice AI Symposium, presented by the Bridge2AI-Voice Consortium","year":2024,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Common Fund; National Institute on Aging; National Institutes of Health","keywords":"S Voice; Speech recognition; Media studies; Library science; Sociology; Computer science; Operating system","score_opus":0.09651527958649962,"score_gpt":0.417704231140058,"score_spread":0.32118895155355837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404960801","genre_codex":"editorial","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013048228,0.01700889,0.012102046,0.1517847,0.5852235,0.00489956,0.019278597,0.003970578,0.19268394],"genre_scores_gemma":[0.07223229,0.027687922,0.010951009,0.06777456,0.21186633,0.012108947,0.028088652,0.0054607643,0.56382954],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953225,0.0014095593,0.00028079562,0.00046359148,0.0019615458,0.00056196714],"domain_scores_gemma":[0.9780717,0.006706819,0.00071882945,0.0003796216,0.010326451,0.0037966075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007998691,0.0026946047,0.0009455691,0.002176283,0.004247454,0.0088927755,0.0013556534,0.0033481666,0.10031001],"category_scores_gemma":[0.027502244,0.00048911036,0.0007098114,0.001670794,0.0009779154,0.0032197575,0.0042566177,0.005835602,0.053245615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011435249,0.000026179652,0.000058470185,0.0004140655,0.0000037317336,0.00014335864,0.001452324,0.000050614377,0.00086996536,0.00069701474,0.9830231,0.013146851],"study_design_scores_gemma":[0.00003242503,0.00009683391,0.000791209,0.00047045597,0.000006038807,0.00010515412,0.0042417445,0.00011190204,0.00044614272,0.00046906335,0.9931906,0.000038425555],"about_ca_topic_score_codex":0.002365848,"about_ca_topic_score_gemma":0.0026668452,"teacher_disagreement_score":0.10031001,"about_ca_system_score_codex":0.0025984626,"about_ca_system_score_gemma":0.003206355,"threshold_uncertainty_score":0.3355704},"labels":[],"label_agreement":null},{"id":"W4406130782","doi":"10.3389/fdgth.2024.1523180","title":"Cyber-bioethics: the new ethical discipline for digital health","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bioethics; Environmental ethics; Ethos; Applied ethics; Sociology; Political science; Law; Philosophy","score_opus":0.06619843025640454,"score_gpt":0.39991423514187197,"score_spread":0.3337158048854674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406130782","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026576286,0.14471513,0.08253175,0.557945,0.021278886,0.00017382858,0.00012381618,0.0002688852,0.19030501],"genre_scores_gemma":[0.28212667,0.19304514,0.0829154,0.2860534,0.067463934,0.0015745318,0.00028741898,0.0006041885,0.08592933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9840406,0.009795466,0.0007739509,0.001051947,0.0037535557,0.0005843559],"domain_scores_gemma":[0.9792702,0.014521803,0.00096871814,0.0018177528,0.0014339032,0.0019876524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016935883,0.000980048,0.00096988963,0.0029121037,0.00561791,0.020386916,0.0020961482,0.016006969,0.007887674],"category_scores_gemma":[0.01929313,0.0004473404,0.00077576906,0.0027136859,0.047300622,0.02249177,0.013616127,0.016853785,0.0024238706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000963411,0.000013765027,0.00007207105,0.00019453821,0.000004051293,0.00006900437,0.002009864,0.00010169562,0.000097864664,0.95056546,0.021992225,0.024869822],"study_design_scores_gemma":[0.000009379926,0.00001980962,0.000108043925,0.0011257897,0.000004656864,0.00039453452,0.0015973988,0.00034350337,0.00014546223,0.5122056,0.48402888,0.000017070266],"about_ca_topic_score_codex":0.0012220051,"about_ca_topic_score_gemma":0.0011540573,"teacher_disagreement_score":0.020386916,"about_ca_system_score_codex":0.0068886206,"about_ca_system_score_gemma":0.012758743,"threshold_uncertainty_score":0.08956659},"labels":[],"label_agreement":null},{"id":"W4406628237","doi":"10.3389/fdgth.2025.1462751","title":"A roadmap to implementing machine learning in healthcare: from concept to practice","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Workflow; Software deployment; Health care; Computer science; Data science; Electronic health record; Clinical Practice; Process management; Knowledge management; Artificial intelligence; Software engineering; Medicine; Engineering; Nursing; Database","score_opus":0.04874396500169969,"score_gpt":0.431067729504066,"score_spread":0.3823237645023663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406628237","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056794756,0.018902652,0.5451746,0.39691544,0.0027606108,0.0010461138,0.00021033929,0.0024365676,0.026874183],"genre_scores_gemma":[0.059898708,0.01902136,0.8960134,0.01973797,0.0012632636,0.00084371807,0.00038712035,0.00037885876,0.0024556806],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96961045,0.020431109,0.0018327421,0.0016087086,0.004734146,0.0017828105],"domain_scores_gemma":[0.909928,0.04804976,0.0025004053,0.009967789,0.018276632,0.01127744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07079684,0.0020691336,0.0011030461,0.00295295,0.0020643224,0.015041089,0.0073926,0.010282297,0.01228148],"category_scores_gemma":[0.055661168,0.001126671,0.0017372898,0.0032836527,0.010032823,0.028084451,0.00997082,0.015485251,0.005282619],"study_design_candidate":"theoretical_or_conceptual","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":[0.00022943708,0.0011630682,0.0037952699,0.004397152,0.000121386496,0.0004642268,0.003261523,0.01254512,0.0033864344,0.36902383,0.06856744,0.5330451],"study_design_scores_gemma":[0.00020249,0.0009302525,0.0019953519,0.011308994,0.00006458408,0.00060532795,0.0070065255,0.030203497,0.0037806993,0.48682612,0.4568632,0.00021307616],"about_ca_topic_score_codex":0.005335595,"about_ca_topic_score_gemma":0.0026311046,"teacher_disagreement_score":0.07079684,"about_ca_system_score_codex":0.006558158,"about_ca_system_score_gemma":0.028486269,"threshold_uncertainty_score":0.37441397},"labels":[],"label_agreement":null},{"id":"W4407113918","doi":"10.3389/fdgth.2025.1523401","title":"Navigating the landscape of remote patient monitoring in Canada: trends, challenges, and future directions","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Interoperability; Health care; Transformative learning; Context (archaeology); Business; Sustainable development; Environmental resource management; Environmental planning; Process management; Political science; Computer science; Geography; Psychology","score_opus":0.0165116015700113,"score_gpt":0.30916296606624966,"score_spread":0.29265136449623835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407113918","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26624894,0.06450144,0.009907677,0.5024271,0.00101052,0.00029270066,0.0051267915,0.0006179301,0.14986697],"genre_scores_gemma":[0.9013542,0.054188255,0.012174276,0.01995898,0.00033284823,0.00008788567,0.001502415,0.00013525302,0.010265865],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9945332,0.0007512611,0.00019148801,0.00048426722,0.002243244,0.0017965345],"domain_scores_gemma":[0.98809797,0.0021601839,0.00093620614,0.00017584837,0.006068832,0.0025609967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004283418,0.00046364454,0.00043337716,0.0032886332,0.008793279,0.009928836,0.0021188457,0.0012973505,0.0059681255],"category_scores_gemma":[0.00950041,0.00028505636,0.00050696323,0.0087248515,0.0050472002,0.0038159946,0.004194951,0.0033109558,0.00031919387],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020785036,0.00020722355,0.14882722,0.003940258,0.00012728282,0.0016742686,0.059834354,0.0035451164,0.0035381822,0.14395235,0.1250663,0.50907964],"study_design_scores_gemma":[0.000024257644,0.00015697704,0.26390696,0.0042367657,0.00014304975,0.0009003518,0.15089814,0.004641056,0.0014087585,0.012717998,0.5606475,0.00031816892],"about_ca_topic_score_codex":0.99321556,"about_ca_topic_score_gemma":0.99553937,"teacher_disagreement_score":0.8627286,"about_ca_system_score_codex":0.13727137,"about_ca_system_score_gemma":0.2591768,"threshold_uncertainty_score":0.9959782},"labels":[],"label_agreement":null},{"id":"W4407238841","doi":"10.3389/fdgth.2025.1535900","title":"Prospective observational study to evaluate the feasibility of the mobile app for mild cognitive impairment detection and screening","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Intraclass correlation; Montreal Cognitive Assessment; Observational study; Usability; Cognitive impairment; Cognition; Mobile apps; Medicine; Psychology; Gerontology; Clinical psychology; Computer science; Psychiatry; Psychometrics; World Wide Web; Internal medicine; Disease; Human–computer interaction","score_opus":0.06715738422633216,"score_gpt":0.41018198883504864,"score_spread":0.3430246046087165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407238841","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":[0.9950352,0.00054877397,0.00088549836,0.000048953167,0.000039441242,0.0015226213,0.0009996266,0.000010194405,0.000909756],"genre_scores_gemma":[0.9926755,0.000351125,0.0022518113,0.00019135319,0.000067787856,0.0025468299,0.0012382424,0.000004343844,0.00067296386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986808,0.00048656328,0.00020516271,0.00024243661,0.00025743013,0.00012773027],"domain_scores_gemma":[0.9970126,0.0006520941,0.00094835076,0.00024590569,0.0007290706,0.00041197814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028062116,0.00052689674,0.00075753435,0.0007205626,0.00088279514,0.00064916344,0.00032954232,0.0006446682,0.0022836397],"category_scores_gemma":[0.0047030947,0.00047023792,0.0008357506,0.00057406595,0.00026907353,0.00049806637,0.00040122948,0.00079873414,0.00074029854],"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":[0.0022892067,0.004020642,0.98108804,0.00035624515,0.0004288891,0.00026117644,0.0009031475,0.000063613974,0.00073553453,0.00007923103,0.0006104036,0.009163846],"study_design_scores_gemma":[0.0006019864,0.018834122,0.9757429,0.00011328133,0.0004276803,0.00053101865,0.0010013292,0.00039946602,0.00025347774,0.00010109204,0.0019581756,0.00003538904],"about_ca_topic_score_codex":0.0025838076,"about_ca_topic_score_gemma":0.0035157942,"teacher_disagreement_score":0.0028062116,"about_ca_system_score_codex":0.000273848,"about_ca_system_score_gemma":0.0009883492,"threshold_uncertainty_score":0.014840841},"labels":[],"label_agreement":null},{"id":"W4407715951","doi":"10.3389/fdgth.2025.1515193","title":"Developing and testing tele-support psychotherapy using mobile phones for depression among youth in Kampala district, Uganda: study protocol for a pilot randomized controlled trial","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"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":"Protocol (science); Depression (economics); Randomized controlled trial; Psychology; Medicine; Clinical psychology; Alternative medicine","score_opus":0.07509890076265911,"score_gpt":0.4422586920541522,"score_spread":0.36715979129149307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407715951","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014690249,0.00012347205,0.00054252706,0.000056274555,0.00009149808,0.9970868,0.00030800718,0.000029253968,0.00029299856],"genre_scores_gemma":[0.0012062469,0.00007236487,0.0009321744,0.00004530953,0.000010706483,0.9975598,0.000035567253,0.0000017816471,0.00013602035],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9872457,0.007346433,0.0015405269,0.0010706156,0.0013624987,0.0014342101],"domain_scores_gemma":[0.9897524,0.0033834,0.0019311631,0.0011630349,0.0023987757,0.0013712621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027702117,0.0041730492,0.00800483,0.0022398096,0.0028229137,0.003372079,0.003063609,0.00505731,0.06758187],"category_scores_gemma":[0.023868823,0.0027161774,0.0044443123,0.0027088714,0.0030132527,0.0033780986,0.0020436808,0.0063901735,0.008395184],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.75765175,0.05857275,0.0023118334,0.050753467,0.003177977,0.0006298611,0.0019032224,0.0033466031,0.004406381,0.0058179875,0.021663642,0.08976456],"study_design_scores_gemma":[0.8786375,0.07231776,0.0040283767,0.0064215846,0.0013485614,0.00006584915,0.0005721701,0.001750109,0.0013181132,0.0028765236,0.030534683,0.00012882006],"about_ca_topic_score_codex":0.0025732191,"about_ca_topic_score_gemma":0.004675194,"teacher_disagreement_score":0.06758187,"about_ca_system_score_codex":0.0036776387,"about_ca_system_score_gemma":0.012656759,"threshold_uncertainty_score":0.22608387},"labels":[],"label_agreement":null},{"id":"W4407716410","doi":"10.3389/fdgth.2025.1503428","title":"Acceptance of a mental health app (JoyPopTM) for postsecondary students: a prospective evaluation using the UTAUT2","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Mental health; Psychology; Medical education; Medicine; Psychiatry","score_opus":0.03400034232027845,"score_gpt":0.44856251283199877,"score_spread":0.41456217051172034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407716410","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":[0.9985683,0.000028440845,0.00014414749,0.00003240877,0.00000545551,0.00052899163,0.00013278704,0.000013040269,0.00054637005],"genre_scores_gemma":[0.99424344,0.00018152739,0.0015559123,0.00006896274,0.0000098014925,0.0019470886,0.00039847216,0.000014259455,0.0015805552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998247,0.0005123231,0.00015799417,0.00017203933,0.0006139885,0.00029653788],"domain_scores_gemma":[0.9922821,0.0019816307,0.0014221112,0.0003881826,0.0026402234,0.0012858403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076282164,0.0005332456,0.00058150466,0.0008025274,0.0011389789,0.0014850993,0.0005118801,0.0005659072,0.0022527035],"category_scores_gemma":[0.009314059,0.00050657627,0.0014812308,0.0005040012,0.0007888493,0.00080239127,0.0010748719,0.0011938335,0.0007141948],"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":[0.001737565,0.013589611,0.88384825,0.0004455647,0.0001816112,0.00024143333,0.014663573,0.00040813236,0.002498729,0.00018795801,0.0018556364,0.08034196],"study_design_scores_gemma":[0.00013228203,0.008605036,0.9817139,0.00009312459,0.00012076126,0.00012609914,0.004273577,0.0012281555,0.0014886569,0.000061526356,0.0021048377,0.000051916828],"about_ca_topic_score_codex":0.009678774,"about_ca_topic_score_gemma":0.018723318,"teacher_disagreement_score":0.009678774,"about_ca_system_score_codex":0.001298031,"about_ca_system_score_gemma":0.0025072182,"threshold_uncertainty_score":0.04034233},"labels":[],"label_agreement":null},{"id":"W4408135179","doi":"10.3389/fdgth.2025.1495040","title":"A simplified retriever to improve accuracy of phenotype normalizations by large language models","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Normalization (sociology); Computer science; Natural language processing; Artificial intelligence; Labrador Retriever; Term (time); Language model; Machine learning; Data mining","score_opus":0.007173059222425137,"score_gpt":0.2910441178876113,"score_spread":0.2838710586651862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408135179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04960695,0.0011160508,0.86746675,0.00089911657,0.00024371964,0.00044687945,0.0062543876,0.06991034,0.004055845],"genre_scores_gemma":[0.19168189,0.0007272126,0.7774184,0.0007228137,0.00023172023,0.00049184443,0.018454818,0.003926233,0.0063450364],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972458,0.0007555132,0.00035677623,0.0006733045,0.0008631602,0.00010548151],"domain_scores_gemma":[0.9933329,0.00340469,0.0004094535,0.0017195026,0.0010117096,0.000121710895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034189865,0.0019565187,0.0014314095,0.0030991824,0.0005766321,0.0020114665,0.00198965,0.0010743641,0.009882067],"category_scores_gemma":[0.017762102,0.00059670885,0.0019744243,0.0021299862,0.0005731731,0.0045276987,0.002996106,0.0016013432,0.008724117],"study_design_candidate":"simulation_or_modeling","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":[0.00068167306,0.0003437647,0.0051366836,0.0011663402,0.00041418054,0.00063493784,0.0006533476,0.017166402,0.07908715,0.007319309,0.044143736,0.8432525],"study_design_scores_gemma":[0.0003656639,0.0005524046,0.0057486016,0.0001661916,0.0005937329,0.0026033807,0.00072529796,0.76920986,0.11494615,0.029869495,0.07493828,0.00028090033],"about_ca_topic_score_codex":0.004776557,"about_ca_topic_score_gemma":0.0067554982,"teacher_disagreement_score":0.009882067,"about_ca_system_score_codex":0.00073332095,"about_ca_system_score_gemma":0.0017004408,"threshold_uncertainty_score":0.033058822},"labels":[],"label_agreement":null},{"id":"W4408462632","doi":"10.3389/fdgth.2025.1511943","title":"Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Women's College Hospital; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; St. Michael's Hospital; University of Toronto; SickKids Foundation; University Health Network; Holland Bloorview Kids Rehabilitation Hospital; Baycrest Hospital; Vector Institute; Hospital for Sick Children","funders":"","keywords":"Implementation; Health care; Computer science; Data science; Health science; Healthcare system; Medical education; Mathematics education; Knowledge management; Psychology; Software engineering; Medicine; Political science","score_opus":0.7295450442053756,"score_gpt":0.6556207421647876,"score_spread":0.07392430204058797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408462632","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10533658,0.006392776,0.31924835,0.46446255,0.002223712,0.030448126,0.0011738042,0.002679683,0.068034574],"genre_scores_gemma":[0.23173738,0.005439888,0.72857237,0.009901021,0.00014062466,0.017789854,0.0010636797,0.0002850851,0.0050701564],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.7981168,0.1524261,0.018790163,0.005449913,0.015479311,0.0097377645],"domain_scores_gemma":[0.6465066,0.22887452,0.02081807,0.014779518,0.06359308,0.025428245],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.21118228,0.0029744953,0.0016537264,0.012669457,0.016578183,0.024815036,0.011290533,0.011931404,0.011093739],"category_scores_gemma":[0.27646285,0.0021487232,0.0031166938,0.007969041,0.010437602,0.032600712,0.0243977,0.011599062,0.0040019634],"study_design_candidate":"qualitative","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":[0.0003948643,0.0025584197,0.0397963,0.013847778,0.00025849522,0.0044287853,0.30625916,0.0066634854,0.0025012817,0.07332318,0.107174695,0.4427937],"study_design_scores_gemma":[0.00023180743,0.00029413827,0.0062639606,0.0154580595,0.00013272841,0.0010520866,0.7785414,0.007280242,0.0018039731,0.07487115,0.11364195,0.00042861688],"about_ca_topic_score_codex":0.014795316,"about_ca_topic_score_gemma":0.042165626,"teacher_disagreement_score":0.7888177,"about_ca_system_score_codex":0.028527549,"about_ca_system_score_gemma":0.089871116,"threshold_uncertainty_score":0.9727527},"labels":[],"label_agreement":null},{"id":"W4408928818","doi":"10.3389/fdgth.2025.1484521","title":"Interactive Panel Summaries of the 2024 Voice AI Symposium","year":2025,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Simon Fraser University","funders":"","keywords":"Panel discussion; Viewpoints; Event (particle physics); Conversation; Computer science; Transcription (linguistics); Multimedia; Dialog box; World Wide Web; Psychology; Visual arts; Communication; Linguistics","score_opus":0.02909328690872451,"score_gpt":0.3169712485560776,"score_spread":0.28787796164735313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408928818","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035275568,0.5186202,0.009811201,0.06405136,0.24122998,0.0049698297,0.015779866,0.0010463938,0.14096363],"genre_scores_gemma":[0.023205552,0.45490167,0.014744125,0.044233654,0.13189599,0.010571623,0.026434813,0.0005332406,0.29347935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981793,0.0006829153,0.00021088087,0.00014997281,0.0006285673,0.00014841964],"domain_scores_gemma":[0.99388784,0.0018349655,0.00059641333,0.00018429547,0.0026577187,0.00083873473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006480599,0.0011700161,0.0008644184,0.002716034,0.00072612654,0.0017818783,0.0013343621,0.0020098772,0.067779124],"category_scores_gemma":[0.009549003,0.00039362043,0.001274895,0.0022247827,0.00023453218,0.001413478,0.0022258805,0.0021344908,0.03340926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016135041,0.000055069115,0.00004501637,0.0038865744,0.00003984105,0.00007808455,0.00014717063,0.00010486663,0.0008685854,0.00078187423,0.8888805,0.10495105],"study_design_scores_gemma":[0.000021515574,0.000045834713,0.00032387365,0.0009290692,0.00002054235,0.000055985303,0.000056501838,0.000019693365,0.00016161338,0.00032406274,0.99803287,0.000008464326],"about_ca_topic_score_codex":0.0007062804,"about_ca_topic_score_gemma":0.0024451856,"teacher_disagreement_score":0.067779124,"about_ca_system_score_codex":0.0010095249,"about_ca_system_score_gemma":0.002382466,"threshold_uncertainty_score":0.22674376},"labels":[],"label_agreement":null},{"id":"W4409197152","doi":"10.3389/fdgth.2025.1434578","title":"Effect of the transpulmonary pressure on the lungs’ vibroacoustic response: a first numerical perspective","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Sherbrooke","funders":"","keywords":"Transpulmonary pressure; Perspective (graphical); Medicine; Mathematics; Internal medicine; Lung; Lung volumes","score_opus":0.004094994204111064,"score_gpt":0.2759413104656292,"score_spread":0.2718463162615181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409197152","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":[0.7993037,0.0019658261,0.16709056,0.0012687058,0.00020742243,0.00020663465,0.0003488512,0.0004892281,0.029119028],"genre_scores_gemma":[0.9752554,0.0005520125,0.021615658,0.000096475764,0.000020509615,0.000060950457,0.000058343994,0.000047116744,0.0022936212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997768,0.00006453799,0.000013261412,0.000029535138,0.000083330764,0.000032676333],"domain_scores_gemma":[0.9988788,0.0007961996,0.00010860649,0.0000699549,0.00011814942,0.00002830153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004931392,0.00046894632,0.00042935478,0.00041656577,0.0003114779,0.0009382889,0.0004982128,0.0014881819,0.0026207776],"category_scores_gemma":[0.003151279,0.00026131186,0.00044573628,0.0002449137,0.00101373,0.00057377876,0.0006855949,0.00058231753,0.0002347559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028875636,0.00017146258,0.0053326404,0.00037241803,0.000031953416,0.00057565013,0.00031079177,0.909234,0.05868817,0.004979312,0.00048822188,0.019526687],"study_design_scores_gemma":[0.000014517865,0.000092292736,0.0010272411,0.000033247605,0.000011250669,0.00009055305,0.000072268886,0.99164796,0.0059555494,0.000490017,0.0005492616,0.00001581055],"about_ca_topic_score_codex":0.0034410115,"about_ca_topic_score_gemma":0.0020397478,"teacher_disagreement_score":0.0034410115,"about_ca_system_score_codex":0.000231608,"about_ca_system_score_gemma":0.0003701529,"threshold_uncertainty_score":0.008767426},"labels":[],"label_agreement":null},{"id":"W4409958085","doi":"10.3389/fdgth.2025.1548448","title":"A novel transformer-based approach for cardiovascular disease detection","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Atrial fibrillation; Normal Sinus Rhythm; Medicine; Heart failure; Sinus rhythm; Random forest; Electrocardiography; Heart disease; Cardiology; Recall; Internal medicine; Artificial intelligence; Computer science","score_opus":0.015927010794320386,"score_gpt":0.27111394841594827,"score_spread":0.25518693762162786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409958085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017988192,0.00034897315,0.9786487,0.00008142675,0.000065663255,0.00008888595,0.00017683253,0.0013394348,0.0012619105],"genre_scores_gemma":[0.47048327,0.0005939976,0.5242799,0.00021693253,0.00010822701,0.00012464351,0.0010646267,0.00008909263,0.0030393119],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941885,0.00007416114,0.00005271893,0.0001745549,0.00020609277,0.00007370987],"domain_scores_gemma":[0.9995629,0.00015020305,0.000039438597,0.000041592142,0.00017768954,0.00002821645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066278497,0.00075670175,0.0008237138,0.002184811,0.00035158137,0.0008052855,0.0009801451,0.00069531094,0.0019620536],"category_scores_gemma":[0.0016372022,0.00022538647,0.0009062807,0.0012921873,0.00026781278,0.0010090354,0.00067196274,0.0005946125,0.0012103919],"study_design_candidate":"simulation_or_modeling","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":[0.00039244795,0.00020241697,0.005470528,0.00015425733,0.00011947784,0.00032461563,0.00007962577,0.023728894,0.043362785,0.0034641966,0.0044682776,0.91823256],"study_design_scores_gemma":[0.000046548623,0.0002600427,0.0044321255,0.000019703803,0.000107593725,0.0015789937,0.00006314495,0.9610789,0.022862207,0.0051240497,0.00439139,0.000035304693],"about_ca_topic_score_codex":0.0024438715,"about_ca_topic_score_gemma":0.0025818164,"teacher_disagreement_score":0.0024438715,"about_ca_system_score_codex":0.00034184408,"about_ca_system_score_gemma":0.0006655891,"threshold_uncertainty_score":0.0065637827},"labels":[],"label_agreement":null},{"id":"W4410183135","doi":"10.3389/fdgth.2025.1600216","title":"AI with agency: a vision for adaptive, efficient, and ethical healthcare","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Multimedia University","keywords":"Agency (philosophy); Health care; Engineering ethics; Computer science; Sociology; Psychology; Cognitive science; Artificial intelligence; Business; Environmental ethics; Political science; Engineering; Philosophy; Social science; Law","score_opus":0.052210973246740164,"score_gpt":0.4202799886591826,"score_spread":0.3680690154124424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410183135","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024129855,0.021924525,0.1537151,0.5904922,0.0070929094,0.0002616179,0.000144713,0.0012134942,0.22274254],"genre_scores_gemma":[0.3627774,0.043712106,0.3215573,0.15323791,0.016129695,0.0017866935,0.0006099153,0.0017767458,0.09841228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9676415,0.019856106,0.0012158414,0.002923211,0.0057228045,0.002640488],"domain_scores_gemma":[0.9599487,0.01591002,0.0020180738,0.006220247,0.005471764,0.010431075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.051566605,0.0017827597,0.001453849,0.0038142966,0.009793772,0.039039392,0.006243829,0.018666795,0.01227313],"category_scores_gemma":[0.029089585,0.0010551759,0.0021575687,0.0024712863,0.062562235,0.045720205,0.026320022,0.026840957,0.005693263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020356638,0.000054596916,0.0002768866,0.00019958537,0.00002338947,0.00007068722,0.0031042772,0.00060817006,0.00016109395,0.90744996,0.051564347,0.036466733],"study_design_scores_gemma":[0.000015633674,0.00003317271,0.00013065072,0.0003749392,0.000009140792,0.0000979937,0.0020800447,0.0008292683,0.00013816361,0.6689707,0.32728553,0.00003469141],"about_ca_topic_score_codex":0.0043635233,"about_ca_topic_score_gemma":0.0035104677,"teacher_disagreement_score":0.051566605,"about_ca_system_score_codex":0.010893389,"about_ca_system_score_gemma":0.028081963,"threshold_uncertainty_score":0.27271348},"labels":[],"label_agreement":null},{"id":"W4410607325","doi":"10.3389/fdgth.2025.1581285","title":"Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance","year":2025,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université du Québec à Chicoutimi; Université TÉLUQ","funders":"","keywords":"Wearable computer; Compliance (psychology); Wearable technology; Computer science; Embedded system; Psychology","score_opus":0.12029910313798234,"score_gpt":0.44238352777397827,"score_spread":0.32208442463599596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410607325","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004679837,0.9975074,0.00062450004,0.00046952238,0.00011406239,0.00008815908,0.00031105505,0.0000136201215,0.00040380537],"genre_scores_gemma":[0.005537014,0.9919258,0.0013718945,0.00042426717,0.0001027183,0.00021296924,0.0003467477,0.000008339466,0.000070184404],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.98955333,0.0031488312,0.0038787767,0.0010418124,0.0021891163,0.0001880243],"domain_scores_gemma":[0.85913837,0.12268038,0.007840124,0.0018194055,0.008177816,0.0003438982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018877758,0.0017288793,0.0045714243,0.011288372,0.00071681006,0.0035951089,0.0028079613,0.0025284246,0.0033353816],"category_scores_gemma":[0.083088696,0.0011242614,0.008009111,0.010457587,0.001426366,0.003538922,0.0020615915,0.0021523098,0.00063546613],"study_design_candidate":"not_applicable","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":[0.00017038237,0.000066448374,0.0038053393,0.51805407,0.0035927235,0.00010501168,0.00046518352,0.000861391,0.0002046582,0.001904446,0.005350325,0.4654201],"study_design_scores_gemma":[0.00004745051,0.00022762522,0.0071762605,0.8960171,0.013062458,0.00045713704,0.0004923471,0.00073161256,0.00042963246,0.0021819232,0.07908566,0.00009086155],"about_ca_topic_score_codex":0.009483724,"about_ca_topic_score_gemma":0.013129962,"teacher_disagreement_score":0.018877758,"about_ca_system_score_codex":0.0023377636,"about_ca_system_score_gemma":0.010287374,"threshold_uncertainty_score":0.09983635},"labels":[],"label_agreement":null},{"id":"W4410872166","doi":"10.3389/fdgth.2025.1568159","title":"“Voice is the New Blood”: a discourse analysis of voice AI health-tech start-up websites","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"High tech; Voice analysis; Psychology; Internet privacy; Communication; Medicine; Computer science; Speech recognition; Political science","score_opus":0.0470837024576491,"score_gpt":0.41435850040953337,"score_spread":0.3672747979518843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410872166","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":[0.93165046,0.0017251819,0.0080813635,0.011390671,0.00017773033,0.00038101882,0.0004874264,0.00006657265,0.046039484],"genre_scores_gemma":[0.9897892,0.00091911416,0.0034300357,0.0009150451,0.00006174726,0.00031438845,0.0003018146,0.00012596489,0.004142658],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9764656,0.018720323,0.00068624446,0.0011334086,0.002000691,0.0009937522],"domain_scores_gemma":[0.9087199,0.08293455,0.0027656013,0.0010816067,0.003265682,0.0012326365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024649942,0.00097644015,0.00080104556,0.006938342,0.011283854,0.016167285,0.0019247073,0.0038269786,0.0043080435],"category_scores_gemma":[0.0442205,0.00057770836,0.00051339023,0.0054525114,0.019259082,0.016767006,0.009091913,0.0041766395,0.000660254],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023780265,0.000017010378,0.00095566426,0.0001084317,0.0000024620979,0.00025808765,0.98723686,0.000024665009,0.00034935848,0.007823423,0.00051371625,0.0026865439],"study_design_scores_gemma":[0.000004100092,0.000009593138,0.0009541006,0.0002793768,0.000004545085,0.00007707197,0.98556364,0.00023698354,0.00030440287,0.0014159457,0.011138912,0.000011322057],"about_ca_topic_score_codex":0.009122258,"about_ca_topic_score_gemma":0.0074922517,"teacher_disagreement_score":0.024649942,"about_ca_system_score_codex":0.012834173,"about_ca_system_score_gemma":0.0059085703,"threshold_uncertainty_score":0.13036293},"labels":[],"label_agreement":null},{"id":"W4411041930","doi":"10.3389/fdgth.2025.1555733","title":"Development, implementation and evaluation of a digital treatment for adolescents with chronic pain: a protocol for a multi-phase study","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Pediatric Pain Management Techniques","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":"McGill University; McGill University Health Centre; Montreal Children's Hospital","funders":"European Regional Development Fund; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; Agència de Gestió d'Ajuts Universitaris i de Recerca; Fundación Grünenthal España; Institució Catalana de Recerca i Estudis Avançats","keywords":"Psychosocial; Usability; Chronic pain; Protocol (science); Intervention (counseling); Health care; Focus group; Quality of life (healthcare); Physical therapy; Medicine; Digital health; Psychology; Alternative medicine; Nursing; Psychiatry; Computer science","score_opus":0.07822840684307997,"score_gpt":0.46337270703581196,"score_spread":0.385144300192732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411041930","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00373746,0.000077339704,0.0021463428,0.00008881758,0.00006634093,0.9928098,0.0004089661,0.000030798215,0.00063423364],"genre_scores_gemma":[0.0012337922,0.00006873794,0.0031696456,0.000053092554,0.0000074882396,0.9952455,0.00007061203,0.0000022183037,0.00014891922],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9803867,0.013090601,0.0022603297,0.0011484966,0.0018841253,0.0012298485],"domain_scores_gemma":[0.9805859,0.006882426,0.0020874531,0.0027915763,0.005836306,0.0018163177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048663147,0.0025491745,0.0033729444,0.0026320494,0.0034363577,0.0024901195,0.002718086,0.0036197796,0.0278389],"category_scores_gemma":[0.034869198,0.0019957637,0.0033337085,0.0016252935,0.0025654593,0.0024038672,0.0026964045,0.004923896,0.0057355384],"study_design_candidate":"not_applicable","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":[0.15780263,0.17449619,0.0077312407,0.06662841,0.0009684907,0.001541635,0.017799634,0.0072452226,0.0125969425,0.015909923,0.051680103,0.48559955],"study_design_scores_gemma":[0.35741627,0.1830583,0.034556333,0.032468006,0.0015107653,0.0004672237,0.010578537,0.004772874,0.01215741,0.009828393,0.3525363,0.0006495205],"about_ca_topic_score_codex":0.0022080136,"about_ca_topic_score_gemma":0.003958649,"teacher_disagreement_score":0.048663147,"about_ca_system_score_codex":0.0044053276,"about_ca_system_score_gemma":0.022093162,"threshold_uncertainty_score":0.25735843},"labels":[],"label_agreement":null},{"id":"W4411389181","doi":"10.3389/fdgth.2025.1507391","title":"Leveraging AI in digital one health: an inter-university collaboration for emerging and re-emerging infectious disease control in Cameroon","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Foreign, Commonwealth and Development Office; International Development Research Centre; York University","keywords":"Preparedness; Public health; Pandemic; Government (linguistics); Disease surveillance; Infectious disease (medical specialty); Public relations; Political science; Medicine; Environmental health; Coronavirus disease 2019 (COVID-19); Disease; Nursing","score_opus":0.010966881184599103,"score_gpt":0.2997162790928928,"score_spread":0.2887493979082937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411389181","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":[0.6889595,0.01920291,0.03230352,0.18409245,0.0030198982,0.0020361268,0.00071834767,0.0005352573,0.06913203],"genre_scores_gemma":[0.95504606,0.0051608444,0.020052675,0.0063185086,0.00022271353,0.00053628936,0.0002498797,0.0000620933,0.012350929],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9923143,0.005400385,0.00014859962,0.00043985803,0.00032259425,0.0013743578],"domain_scores_gemma":[0.9854337,0.004211844,0.00063207647,0.00046075013,0.0012159031,0.008045575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01165723,0.0006758064,0.00027865273,0.0013464931,0.0069640432,0.0049896147,0.0010085333,0.0018555084,0.009331465],"category_scores_gemma":[0.01081977,0.0003021634,0.0004124986,0.0012348343,0.0032652915,0.0039974935,0.010246352,0.0028027203,0.00091171765],"study_design_candidate":"not_applicable","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":[0.0016735033,0.002646275,0.10394259,0.0028449835,0.00019092305,0.0122744525,0.15971269,0.005867715,0.017588189,0.055921838,0.08579048,0.5515464],"study_design_scores_gemma":[0.00018677043,0.0016578053,0.050554685,0.0029738962,0.00010719833,0.0025098852,0.29757154,0.0075267097,0.0063762283,0.019518001,0.61074245,0.00027479854],"about_ca_topic_score_codex":0.009633224,"about_ca_topic_score_gemma":0.013710052,"teacher_disagreement_score":0.01165723,"about_ca_system_score_codex":0.004958042,"about_ca_system_score_gemma":0.026996735,"threshold_uncertainty_score":0.061650038},"labels":[],"label_agreement":null},{"id":"W4411731971","doi":"10.3389/fdgth.2025.1619183","title":"Master protocols in vocal biomarker development to reduce variability and advance clinical precision: a narrative review","year":2025,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"University of South Florida","keywords":"Biomarker; Standardization; Protocol (science); Computer science; Biomarker discovery; Medical physics; Data science; Medicine; Pathology; Biology","score_opus":0.0917143737702563,"score_gpt":0.47588933354903307,"score_spread":0.38417495977877675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411731971","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023175646,0.99427444,0.0013731967,0.002090187,0.0004201102,0.00031978547,0.00010930802,0.000014221248,0.0011670012],"genre_scores_gemma":[0.0040835757,0.9886718,0.0039065485,0.0018758032,0.00024958505,0.00082033157,0.00014173742,0.0000091757365,0.00024151859],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9822112,0.006820198,0.0066035353,0.00095461856,0.0031136866,0.00029664754],"domain_scores_gemma":[0.9006097,0.081362166,0.008635554,0.0016742024,0.007269072,0.00044924224],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.031808108,0.0013245007,0.002677603,0.009536429,0.00097203394,0.0042774975,0.0027625218,0.002844416,0.0038904315],"category_scores_gemma":[0.096225515,0.00077080383,0.0032442252,0.006544016,0.0020152042,0.0058002383,0.0030297125,0.0023818088,0.00094046927],"study_design_candidate":"not_applicable","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":[0.00012433372,0.00004236657,0.0005285108,0.5664114,0.00085045834,0.00022166656,0.0011159065,0.0002790026,0.00043995483,0.0122654075,0.012452288,0.40526873],"study_design_scores_gemma":[0.000055022447,0.000099991055,0.0008392654,0.769907,0.0032754885,0.0005967634,0.00068431004,0.00012687664,0.0004673662,0.005226771,0.21867454,0.00004658863],"about_ca_topic_score_codex":0.002211177,"about_ca_topic_score_gemma":0.004242848,"teacher_disagreement_score":0.96819186,"about_ca_system_score_codex":0.0031572385,"about_ca_system_score_gemma":0.021206977,"threshold_uncertainty_score":0.16821939},"labels":[],"label_agreement":null},{"id":"W4411841976","doi":"10.3389/fdgth.2025.1507936","title":"Plugged-in: a Canadian survey of technology ownership, access, use, and attitudes among emergency department patients","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto; Humber River Regional Hospital","funders":"","keywords":"The Internet; Emergency department; Sample (material); Scale (ratio); Business; Internet access; Medicine; Family medicine; Psychology; Medical emergency; Nursing; Geography; Computer science; World Wide Web","score_opus":0.038762613101351505,"score_gpt":0.3919027452728875,"score_spread":0.353140132171536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411841976","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":[0.99355704,0.00017794452,0.000056032037,0.00031108598,0.0000052261257,0.000087993954,0.0038596846,0.00000593609,0.0019391229],"genre_scores_gemma":[0.99708563,0.0003375468,0.00022324764,0.00025587316,0.0000051030056,0.000050010247,0.0014405103,0.000002476427,0.000599679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991787,0.00007458109,0.00009519719,0.000090496156,0.00034488412,0.00021617603],"domain_scores_gemma":[0.998027,0.00014724386,0.00044388464,0.000060768798,0.0008041991,0.000516949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082598923,0.00022647863,0.00023938654,0.0009937529,0.0016636938,0.0008992095,0.00067301607,0.00040745575,0.0020056686],"category_scores_gemma":[0.002268728,0.0002855871,0.00036606487,0.0028311643,0.00043898256,0.0004733629,0.0007629269,0.00051818666,0.00032356262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035844747,0.00006516018,0.9920631,0.00006535148,0.00001539781,0.00006443028,0.002373318,0.000032855583,0.00023887394,0.00002855915,0.0011907599,0.0038263705],"study_design_scores_gemma":[0.0000029890077,0.00003254729,0.9960317,0.000019473091,0.00000588499,0.000032516262,0.0030659852,0.00006766818,0.0000382705,0.000003959437,0.00069284125,0.000006201075],"about_ca_topic_score_codex":0.944246,"about_ca_topic_score_gemma":0.9681091,"teacher_disagreement_score":0.055754006,"about_ca_system_score_codex":0.008779179,"about_ca_system_score_gemma":0.008994087,"threshold_uncertainty_score":0.112164676},"labels":[],"label_agreement":null},{"id":"W4412506771","doi":"10.3389/fdgth.2025.1593677","title":"Effectiveness of mHealth interventions targeting physical activity, sedentary behaviour, sleep or nutrition on emotional, behavioural and eating disorders in adolescents: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; The Wilson Centre","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of General Medical Sciences","keywords":"mHealth; Meta-analysis; Psychological intervention; Eating disorders; Physical activity; Psychology; Clinical psychology; Sleep (system call); Medicine; Psychiatry; Physical therapy; Computer science","score_opus":0.07549511477020343,"score_gpt":0.44165955024613607,"score_spread":0.36616443547593264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412506771","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003889176,0.99402535,0.00039521622,0.00013400662,0.000118203374,0.0007595895,0.00042353655,0.000026125575,0.00022881586],"genre_scores_gemma":[0.108516514,0.8837767,0.0024661068,0.0007929095,0.0001996577,0.0032501675,0.00064742484,0.000023240427,0.00032722007],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9915441,0.00321785,0.003013809,0.0007705045,0.0011869033,0.00026685986],"domain_scores_gemma":[0.9844786,0.011071517,0.0026448683,0.0003883345,0.0012044363,0.00021215572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014630201,0.0028655014,0.02454916,0.0072587733,0.00072634075,0.0036895615,0.0023614168,0.0025991239,0.0035702868],"category_scores_gemma":[0.03301789,0.001481455,0.037921045,0.006436157,0.00093949575,0.0021167314,0.0017233323,0.002050082,0.0002698975],"study_design_candidate":"meta_analysis","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":[0.0016173288,0.00005836972,0.001183599,0.6583309,0.32213286,0.00006444312,0.00010974884,0.00038317894,0.00016236048,0.00012689948,0.00038325807,0.015447007],"study_design_scores_gemma":[0.000852723,0.00033521283,0.00208444,0.066679984,0.92797375,0.00006262901,0.000054375527,0.00018262144,0.00014344636,0.00014589845,0.0014590055,0.000026001708],"about_ca_topic_score_codex":0.008035046,"about_ca_topic_score_gemma":0.015768599,"teacher_disagreement_score":0.02454916,"about_ca_system_score_codex":0.003978104,"about_ca_system_score_gemma":0.0056835054,"threshold_uncertainty_score":0.07737279},"labels":[],"label_agreement":null},{"id":"W4413023100","doi":"10.3389/fdgth.2025.1640585","title":"Digital health technologies for improving the management of people with chronic obstructive pulmonary disease","year":2025,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Canada Research Chairs; GlaxoSmithKline","keywords":"Telehealth; Psychological intervention; Pulmonary disease; Telemedicine; Medicine; Digital health; COPD; Health care; Pandemic; Wearable computer; Disease management; Intensive care medicine; Isolation (microbiology); Coronavirus disease 2019 (COVID-19); Disease; Medical emergency; Nursing; Computer science; Health management system; Alternative medicine; Pathology; Infectious disease (medical specialty); Political science","score_opus":0.015468049182383477,"score_gpt":0.31425675082064675,"score_spread":0.29878870163826327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413023100","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009359037,0.99818283,0.000072001036,0.00030853518,0.00011405823,0.000014957546,0.00001883806,0.000005705,0.0011893765],"genre_scores_gemma":[0.0008575768,0.99850214,0.00015930213,0.00017588562,0.00007028066,0.000012182434,0.00001716307,9.672543e-7,0.00020452868],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941146,0.00019298228,0.00008786721,0.000058344085,0.00020046651,0.000048729064],"domain_scores_gemma":[0.9987344,0.0009028088,0.00013780876,0.000029457391,0.00014010994,0.000055466982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012862851,0.00078560004,0.0012037285,0.0033931194,0.00037781164,0.0013611374,0.00076024485,0.0013541449,0.008602931],"category_scores_gemma":[0.0031915423,0.00019963506,0.0013843686,0.0026562358,0.00054099044,0.0016967173,0.0013934936,0.0018125544,0.0015607264],"study_design_candidate":"not_applicable","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":[0.000031579224,0.000045891837,0.000120856435,0.048291925,0.00016947294,0.000052064344,0.000113201655,0.000161963,0.0003304756,0.004032932,0.0117917275,0.934858],"study_design_scores_gemma":[0.000040734754,0.0001291348,0.0016802608,0.075595245,0.00056516036,0.0006953053,0.00024874395,0.00008564816,0.00031533916,0.0037879942,0.91682947,0.000026926291],"about_ca_topic_score_codex":0.0018732758,"about_ca_topic_score_gemma":0.0029912116,"teacher_disagreement_score":0.008602931,"about_ca_system_score_codex":0.00069584296,"about_ca_system_score_gemma":0.0020341906,"threshold_uncertainty_score":0.028779626},"labels":[],"label_agreement":null},{"id":"W4413194103","doi":"10.3389/fdgth.2025.1574946","title":"Evaluating the impact of engaging healthcare providers in an AI-based gamified mHealth intervention for improving maternal health outcomes among disadvantaged pregnant women in Lebanon","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"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":"Ministry of Public Health; International Development Research Centre","keywords":"mHealth; Medicine; Disadvantaged; Psychological intervention; Intervention (counseling); Odds; Logistic regression; Health care; Odds ratio; Family medicine; Nursing; Internal medicine","score_opus":0.052139259386153936,"score_gpt":0.4893837183521511,"score_spread":0.4372444589659972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413194103","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":[0.9915672,0.001668913,0.00046518617,0.0015601495,0.00010094859,0.0021684587,0.00032786294,0.000031362943,0.0021099853],"genre_scores_gemma":[0.9882918,0.0015161799,0.0034309088,0.0007072583,0.000051633237,0.00495012,0.00015994688,0.0000035038645,0.00088861375],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985197,0.00094790483,0.000060264705,0.000088940345,0.000105962914,0.0002772954],"domain_scores_gemma":[0.99901867,0.00040623953,0.00016126054,0.000024615023,0.000088144996,0.0003010443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003670402,0.0006224153,0.00069531525,0.0003755954,0.00065460184,0.00065447483,0.00063730177,0.00070745486,0.0043734056],"category_scores_gemma":[0.0041928384,0.00020562318,0.0010149094,0.00023073563,0.00037104127,0.00055179506,0.0012088243,0.00085843593,0.00017696049],"study_design_candidate":"observational","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":[0.04673596,0.10257973,0.10752532,0.011202661,0.0021548436,0.0006285696,0.0061192806,0.005702456,0.0039787223,0.0024871237,0.005641527,0.7052438],"study_design_scores_gemma":[0.06795672,0.37571818,0.47048387,0.012366787,0.007158282,0.00029573892,0.013444288,0.020281618,0.006450969,0.0047350167,0.020882817,0.00022571615],"about_ca_topic_score_codex":0.0090589365,"about_ca_topic_score_gemma":0.013046652,"teacher_disagreement_score":0.0090589365,"about_ca_system_score_codex":0.0019487725,"about_ca_system_score_gemma":0.0047519985,"threshold_uncertainty_score":0.019411206},"labels":[],"label_agreement":null},{"id":"W4414137493","doi":"10.3389/fdgth.2025.1625444","title":"Synthetic patient and interview transcript creator: an essential tool for LLMs in mental health","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Deutsches Krebsforschungszentrum; Nvidia","keywords":"Interview; Mental health; Software deployment; Diversity (politics); Population; Data collection; Patient data","score_opus":0.010533734393768833,"score_gpt":0.2944215075587798,"score_spread":0.283887773165011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414137493","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04258397,0.0002811456,0.6511437,0.0016146505,0.00045553927,0.0017383586,0.019723553,0.27687484,0.0055842055],"genre_scores_gemma":[0.26508313,0.00016098356,0.67763275,0.0008066922,0.00013398725,0.0034947817,0.035754785,0.011650117,0.0052828193],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946951,0.0033833273,0.00033691066,0.0008090812,0.0006422016,0.00013341625],"domain_scores_gemma":[0.9782103,0.016078647,0.00086437666,0.0027339745,0.0015834721,0.00052928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009018477,0.0017292596,0.00061787217,0.0011628085,0.00067503116,0.0017181713,0.0017370211,0.001685537,0.026968779],"category_scores_gemma":[0.046525747,0.0009969805,0.00097278773,0.00054581946,0.00072180486,0.0020076546,0.0038180419,0.0021545496,0.01598996],"study_design_candidate":"simulation_or_modeling","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":[0.003100849,0.0009309008,0.020754838,0.0023480328,0.00035178108,0.0014914909,0.009874248,0.059924908,0.03315246,0.014368675,0.24698608,0.60671574],"study_design_scores_gemma":[0.00052779727,0.000668766,0.005977354,0.0004927307,0.00009277422,0.0010166225,0.001886584,0.7387879,0.054424573,0.024220316,0.17160766,0.00029689146],"about_ca_topic_score_codex":0.0022586056,"about_ca_topic_score_gemma":0.002724502,"teacher_disagreement_score":0.026968779,"about_ca_system_score_codex":0.001135814,"about_ca_system_score_gemma":0.0019043729,"threshold_uncertainty_score":0.09021956},"labels":[],"label_agreement":null},{"id":"W4414397978","doi":"10.3389/fdgth.2025.1634223","title":"Editorial: The scale-up and sustainability of digital health interventions in low- and middle-income settings","year":2025,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"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","funders":"","keywords":"Digital health; Sophistication; Sustainability; Health care; Preparedness; mHealth; Psychological intervention; Identification (biology); Quality (philosophy)","score_opus":0.012664727561330379,"score_gpt":0.3755665608551164,"score_spread":0.36290183329378606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414397978","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007687431,0.0021132021,0.00013547715,0.027568655,0.96862376,0.000050848146,0.00011468186,0.00011637813,0.0012001795],"genre_scores_gemma":[0.0005770802,0.0021567491,0.00010966337,0.014794641,0.9787022,0.000030119632,0.000032221822,0.000043543434,0.0035538136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917361,0.001323488,0.00093042036,0.0014269862,0.003979123,0.0006038751],"domain_scores_gemma":[0.95080936,0.026053142,0.002663554,0.0010651804,0.015000986,0.0044078175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009833351,0.0049159564,0.004707745,0.0034271292,0.0033566614,0.00815346,0.006344291,0.019669704,0.029200446],"category_scores_gemma":[0.049922932,0.0011620794,0.0036198928,0.0014329542,0.003639561,0.006696951,0.0015333564,0.01987043,0.019744039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007242063,0.00003192821,0.00005221966,0.00059258414,0.000022314985,0.00013923437,0.000032602897,0.00004882685,0.00005811131,0.0002904524,0.9928926,0.0057667885],"study_design_scores_gemma":[0.00014351093,0.00014192893,0.00059415563,0.0021129926,0.00009777303,0.0005123214,0.00015322694,0.0004209668,0.0003130268,0.001672429,0.9937784,0.000059363792],"about_ca_topic_score_codex":0.0018601763,"about_ca_topic_score_gemma":0.0024536185,"teacher_disagreement_score":0.029200446,"about_ca_system_score_codex":0.0032657774,"about_ca_system_score_gemma":0.0045629004,"threshold_uncertainty_score":0.09768516},"labels":[],"label_agreement":null},{"id":"W4414425989","doi":"10.3389/fdgth.2025.1590514","title":"Exploring health professionals' views on the depiction of conversational agents as health professionals: a qualitative descriptive study","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Depiction; Qualitative research; Health professionals; Descriptive research; Visual methods; Descriptive statistics; Qualitative analysis","score_opus":0.5097779232204633,"score_gpt":0.5401444377316784,"score_spread":0.03036651451121508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414425989","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":[0.9816072,0.0013004224,0.0053110435,0.003991318,0.000114807895,0.0005459789,0.00036548282,0.000037173482,0.0067265835],"genre_scores_gemma":[0.98977906,0.0015361372,0.0025717607,0.0016656676,0.000050162227,0.0010761669,0.00015114826,0.000057461497,0.0031125043],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97549146,0.019122485,0.0008876047,0.0010224051,0.0015743616,0.0019015997],"domain_scores_gemma":[0.9371288,0.052789316,0.0028981846,0.0009450084,0.0035576143,0.0026810626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027714817,0.0008225325,0.0010365439,0.003148666,0.010408761,0.0066725714,0.0019007918,0.002695498,0.0037861338],"category_scores_gemma":[0.045185506,0.0011566525,0.000488398,0.0024241565,0.010899345,0.006091095,0.007197698,0.0038822482,0.0006634864],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019359091,0.000014471716,0.0008685631,0.00011761916,0.0000018599096,0.00029278436,0.9964605,0.000009354412,0.00033506996,0.00042525877,0.00016142617,0.0012937621],"study_design_scores_gemma":[0.0000029209582,0.0000191306,0.0003784335,0.00016507556,0.000002439328,0.00014328028,0.99546534,0.000040795483,0.00016953227,0.00013320326,0.003472322,0.000007511589],"about_ca_topic_score_codex":0.01021586,"about_ca_topic_score_gemma":0.011337551,"teacher_disagreement_score":0.027714817,"about_ca_system_score_codex":0.006618151,"about_ca_system_score_gemma":0.006528048,"threshold_uncertainty_score":0.1465717},"labels":[],"label_agreement":null},{"id":"W4414713541","doi":"10.3389/fdgth.2025.1575633","title":"Healthcare providers' perception and knowledge of the use of artificial intelligence in healthcare service delivery in the Limbe and Buea Health Districts: a cross-sectional study","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Health care; Perception; Population; Healthcare service; Healthcare delivery; Health services","score_opus":0.13118029676997386,"score_gpt":0.41518724256088824,"score_spread":0.28400694579091434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414713541","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":[0.99964774,0.00004399802,0.000015246796,0.000045336696,0.0000012965065,0.000016535567,0.000052518513,4.486319e-7,0.00017690328],"genre_scores_gemma":[0.99962115,0.00008601261,0.00005857624,0.000040435472,0.0000026599444,0.000032024724,0.00005129449,3.4048585e-7,0.0001074849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999348,0.00023203313,0.0000689399,0.00006218005,0.000109015076,0.00017982359],"domain_scores_gemma":[0.9982337,0.00058644154,0.00062516634,0.000047738988,0.00018498185,0.00032202236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011943078,0.00017470885,0.00031445446,0.0009098211,0.0008688212,0.0007787206,0.00032645944,0.000515097,0.002007991],"category_scores_gemma":[0.00255525,0.0004475771,0.00026808536,0.0011463484,0.000491911,0.00077333144,0.0006414931,0.0007047115,0.00022571442],"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":[0.00003953115,0.0002974128,0.99139273,0.000048755046,0.0000139393305,0.00012157318,0.0061521223,0.00002236008,0.00019980496,0.000025225178,0.000106515174,0.0015801201],"study_design_scores_gemma":[0.0000055451846,0.00030614107,0.97619855,0.00003881016,0.000013292924,0.0001639135,0.022805845,0.00012198628,0.000053096803,0.000010910482,0.00027591333,0.000005978953],"about_ca_topic_score_codex":0.018811066,"about_ca_topic_score_gemma":0.02373127,"teacher_disagreement_score":0.018811066,"about_ca_system_score_codex":0.00077572616,"about_ca_system_score_gemma":0.0006957093,"threshold_uncertainty_score":0.037403166},"labels":[],"label_agreement":null},{"id":"W4414784963","doi":"10.3389/fdgth.2025.1555436","title":"Assessing the impact of digital health literacy on health management practices in Arab Middle Eastern and North African countries: insights from predictive modeling","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"International Development Research Centre","keywords":"Middle East; Health care; Digital health; Psychological intervention; Health literacy; Digital literacy; Literacy; eHealth; Health equity","score_opus":0.06268480490670987,"score_gpt":0.442075393696763,"score_spread":0.37939058879005316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414784963","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":[0.988567,0.00048933056,0.006081967,0.0015571632,0.00001738093,0.00004215894,0.00035608147,0.000026955435,0.0028619822],"genre_scores_gemma":[0.9978854,0.00023507346,0.0014993567,0.000053617805,0.000008685662,0.000020996953,0.00017133923,0.0000028887985,0.00012250013],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977725,0.0016091815,0.00007336974,0.00017935048,0.00015006961,0.0002154658],"domain_scores_gemma":[0.9766184,0.020110583,0.0015550535,0.0005286105,0.0008153755,0.00037190516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007463391,0.0006488802,0.00044189784,0.002057437,0.0005912731,0.0020734693,0.00054227567,0.00052797946,0.0020226068],"category_scores_gemma":[0.024200954,0.00030576024,0.0009327733,0.0019794605,0.0009288657,0.0014476087,0.0018272916,0.0012156507,0.00018513852],"study_design_candidate":"simulation_or_modeling","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":[0.000106654894,0.000243464,0.9148188,0.00012593473,0.00023593764,0.00017820737,0.0022058843,0.03750455,0.00010491669,0.004886094,0.0009779242,0.03861163],"study_design_scores_gemma":[0.000023823595,0.00025389416,0.42465088,0.0005982981,0.0002177519,0.00020863982,0.009487232,0.5461823,0.00043939342,0.015097983,0.0027848624,0.00005494233],"about_ca_topic_score_codex":0.030445417,"about_ca_topic_score_gemma":0.0213116,"teacher_disagreement_score":0.030445417,"about_ca_system_score_codex":0.0013021171,"about_ca_system_score_gemma":0.0018981961,"threshold_uncertainty_score":0.060536444},"labels":[],"label_agreement":null},{"id":"W4414852121","doi":"10.3389/fdgth.2025.1636775","title":"Streamlining wearable data integration for EHDS: a case study on advancing healthcare interoperability using Garmin devices and FHIR","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Interoperability; Bridging (networking); Wearable computer; Data integration; Health care; System integration; Wearable technology","score_opus":0.11408760298010685,"score_gpt":0.4949077486021156,"score_spread":0.3808201456220088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414852121","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":[0.93237627,0.00065503793,0.043211456,0.005196911,0.0001425024,0.0010016514,0.00026714514,0.00032713392,0.016821917],"genre_scores_gemma":[0.9469945,0.00087117363,0.044861816,0.0010764557,0.0000728621,0.00041547083,0.00027564875,0.00015702758,0.005275059],"study_design_codex":"design_other","study_design_gemma":"case_report","domain_scores_codex":[0.9858208,0.009207122,0.0008307128,0.0007930199,0.0023513415,0.0009969927],"domain_scores_gemma":[0.98572147,0.008289794,0.00086350966,0.0021727292,0.0018555807,0.0010968745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0152836535,0.0006407455,0.0004765497,0.0014664857,0.0024309233,0.0035187323,0.0020989398,0.0024844538,0.0021840252],"category_scores_gemma":[0.020211393,0.00041793706,0.0009709219,0.0016729103,0.0022386878,0.00420413,0.0048263744,0.0021010323,0.0007768354],"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":[0.0011189837,0.005818582,0.1874557,0.0019235935,0.00022465464,0.058217485,0.29761583,0.0062145754,0.021996163,0.033787154,0.017082661,0.3685447],"study_design_scores_gemma":[0.00037183694,0.0057806927,0.13615786,0.0028524627,0.00042227164,0.040162638,0.3729379,0.038613535,0.05543957,0.017317288,0.32947078,0.00047316245],"about_ca_topic_score_codex":0.0040655383,"about_ca_topic_score_gemma":0.0054003657,"teacher_disagreement_score":0.0152836535,"about_ca_system_score_codex":0.0022688631,"about_ca_system_score_gemma":0.0025971837,"threshold_uncertainty_score":0.08082867},"labels":[],"label_agreement":null},{"id":"W4415815063","doi":"10.3389/fdgth.2025.1718775","title":"Correction: Exploring health professionals' views on the depiction of conversational agents as health professionals: a qualitative descriptive study","year":2025,"lang":"en","type":"erratum","venue":"Frontiers in Digital Health","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"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 New Brunswick","funders":"","keywords":"Depiction; Qualitative research; Descriptive research; Action (physics); Visual methods; Data collection; Ethnography","score_opus":0.14081298031449205,"score_gpt":0.4256839588840871,"score_spread":0.2848709785695951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415815063","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00047462838,0.0010131786,0.0017733615,0.31599602,0.67286086,0.00016977178,0.0021004751,0.0006733444,0.004938429],"genre_scores_gemma":[0.054377157,0.0091098845,0.01168212,0.42531154,0.19952942,0.0056060916,0.004816513,0.005409787,0.28415743],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9768619,0.006699795,0.0039816066,0.0019340202,0.00925546,0.0012673687],"domain_scores_gemma":[0.77788216,0.07060597,0.010874763,0.006768173,0.12922925,0.004639781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01723646,0.0022277834,0.0019415407,0.0035255367,0.00873298,0.007991181,0.005454976,0.0101042185,0.057940442],"category_scores_gemma":[0.25506288,0.001051723,0.0013549455,0.003038605,0.00722309,0.0064366744,0.0060062855,0.017300524,0.032471653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015494108,0.0000033470253,0.000033056993,0.00017618675,0.0000022186484,0.00011090086,0.0008182906,0.000015176119,0.000030643798,0.0010435509,0.9954809,0.0022703442],"study_design_scores_gemma":[0.000024656027,0.00001917088,0.00046619534,0.0019707514,0.000016447402,0.0002885606,0.0023148127,0.00017429594,0.00026409418,0.0014043532,0.99299496,0.00006173411],"about_ca_topic_score_codex":0.035778522,"about_ca_topic_score_gemma":0.029487533,"teacher_disagreement_score":0.057940442,"about_ca_system_score_codex":0.014848359,"about_ca_system_score_gemma":0.017335247,"threshold_uncertainty_score":0.19383007},"labels":[],"label_agreement":null},{"id":"W4415839320","doi":"10.3389/fdgth.2025.1659997","title":"Healthcare practitioners' acceptance of using telehealth in the Kingdom of Saudi Arabia: an application of the unified theory of acceptance and use of technology model","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"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 Manitoba","funders":"","keywords":"Telehealth; Unified theory of acceptance and use of technology; Expectancy theory; Health care; Technology acceptance model; eHealth; Telemedicine; Life expectancy","score_opus":0.0399229515202878,"score_gpt":0.3597221677483453,"score_spread":0.3197992162280575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415839320","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":[0.998343,0.00014080072,0.00030472528,0.00022036208,0.0000039694046,0.000045927114,0.000035949703,0.0000020134005,0.00090313476],"genre_scores_gemma":[0.999506,0.00012019409,0.000214319,0.000029877217,0.0000017293693,0.000025467387,0.000020953497,4.444803e-7,0.00008084523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809414,0.0009513508,0.0002087896,0.00010730096,0.00042050087,0.00021795511],"domain_scores_gemma":[0.99201643,0.0041258633,0.0018245928,0.00019718819,0.0014439321,0.00039196762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003512493,0.00027361547,0.00030362778,0.00087066984,0.00044001781,0.00130633,0.00033497435,0.00048022377,0.0017495506],"category_scores_gemma":[0.00999889,0.00022209744,0.00064307643,0.0005994124,0.0006099089,0.00077856734,0.0009586461,0.000613215,0.00015911872],"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":[0.00007735118,0.0002887065,0.937563,0.00021725145,0.000075753574,0.00018764216,0.028442036,0.00038618612,0.00030042522,0.00039881258,0.000355109,0.031707656],"study_design_scores_gemma":[0.000019051038,0.00044951515,0.92987335,0.00039858784,0.00006526982,0.00026882841,0.062100094,0.005104129,0.00024822928,0.00030425115,0.0011404513,0.000028186318],"about_ca_topic_score_codex":0.016457003,"about_ca_topic_score_gemma":0.012047381,"teacher_disagreement_score":0.016457003,"about_ca_system_score_codex":0.0014816505,"about_ca_system_score_gemma":0.0015867408,"threshold_uncertainty_score":0.032722414},"labels":[],"label_agreement":null},{"id":"W4416128535","doi":"10.3389/fdgth.2025.1725819","title":"Editorial: Digital remote patient monitoring in neurodegenerative diseases","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Disease; Remote patient monitoring; Wearable technology; Telemedicine; Disease management; Digital health; Disease monitoring; Wearable computer; Medical diagnosis","score_opus":0.009495730950396228,"score_gpt":0.2794551642834169,"score_spread":0.26995943333302064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416128535","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000062774314,0.0029061849,0.0001405498,0.013268853,0.9820432,0.000032767828,0.00007862812,0.00012698694,0.0013400087],"genre_scores_gemma":[0.00037050588,0.0022220202,0.00008997473,0.012687208,0.9803827,0.000024653194,0.00003972498,0.00003232733,0.004150819],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941982,0.0009663711,0.00088345434,0.0009694195,0.0025179768,0.00046454405],"domain_scores_gemma":[0.97591364,0.010040362,0.0015189076,0.0008776393,0.008016051,0.0036334475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060112267,0.005458767,0.005884122,0.0042709364,0.0032432755,0.008326718,0.0060204165,0.022229226,0.02539963],"category_scores_gemma":[0.020258196,0.0016001086,0.0040884465,0.0020809171,0.0034434735,0.005517973,0.0017625627,0.022957252,0.023451876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011255774,0.000047737234,0.000058969315,0.00050310505,0.000031348252,0.0001899364,0.000015056727,0.00005609457,0.00009503692,0.00031103866,0.9899436,0.008635429],"study_design_scores_gemma":[0.00016237254,0.00011833556,0.0007720423,0.0008880214,0.0000737119,0.0005753791,0.000059859954,0.00037377095,0.0002214281,0.0007951777,0.99592125,0.000038653136],"about_ca_topic_score_codex":0.001287837,"about_ca_topic_score_gemma":0.0019714152,"teacher_disagreement_score":0.02539963,"about_ca_system_score_codex":0.0025909054,"about_ca_system_score_gemma":0.0018759479,"threshold_uncertainty_score":0.084970236},"labels":[],"label_agreement":null},{"id":"W4416301150","doi":"10.3389/fdgth.2025.1665975","title":"Universal digital mental health interventions for children and youth: a scoping review","year":2025,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Jackman Humanities Institute, University of Toronto","keywords":"Psychological intervention; Mental health; Digital health; Intervention (counseling); mHealth; Health care","score_opus":0.06274003518578314,"score_gpt":0.4480003055178578,"score_spread":0.38526027033207466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416301150","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005581184,0.9972023,0.00019738369,0.00041538675,0.0001392217,0.00036780105,0.00022414462,0.000013292755,0.00088242796],"genre_scores_gemma":[0.004547228,0.99369353,0.0005995988,0.00029262702,0.00005645449,0.00056741183,0.00014286862,0.0000047150484,0.00009557878],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9926918,0.0025798471,0.002191115,0.000545987,0.0016303447,0.0003608803],"domain_scores_gemma":[0.96324104,0.030189857,0.0030818784,0.000583664,0.0025400945,0.0003635292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012013331,0.0012920931,0.0041581625,0.013111279,0.0010538222,0.00427815,0.00228431,0.002398105,0.005948768],"category_scores_gemma":[0.052144352,0.0010473232,0.004589838,0.012627167,0.0010827777,0.003014898,0.0035053368,0.0020537123,0.0005160681],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008907289,0.000052838353,0.00057777145,0.74585134,0.0014204071,0.000072518655,0.000868443,0.00021252026,0.00011697184,0.001565695,0.0041884133,0.24498403],"study_design_scores_gemma":[0.000027084918,0.00005118726,0.0012029433,0.96237266,0.0033441775,0.00008541179,0.00041061576,0.000046678237,0.00006831632,0.00037363253,0.032006178,0.000011101845],"about_ca_topic_score_codex":0.011363069,"about_ca_topic_score_gemma":0.024793772,"teacher_disagreement_score":0.013111279,"about_ca_system_score_codex":0.005569569,"about_ca_system_score_gemma":0.02003721,"threshold_uncertainty_score":0.063533306},"labels":[],"label_agreement":null},{"id":"W4416402424","doi":"10.3389/fdgth.2025.1659366","title":"CharMark: character-level Markov modeling for interpretable linguistic biomarkers of cognitive decline","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Pittsburgh; National Institute on Aging; National Science Foundation","keywords":"Cognitive decline; Discriminative model; Dementia; Cognition; Interpretation (philosophy); Hidden Markov model; Character (mathematics); Logistic regression; Computational linguistics","score_opus":0.03546149579726589,"score_gpt":0.3344673724246631,"score_spread":0.29900587662739725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416402424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016351607,0.00039011159,0.9785567,0.00062458613,0.00007623782,0.00007913837,0.0010865547,0.0017293168,0.0011058169],"genre_scores_gemma":[0.61692756,0.00090704905,0.36807582,0.000713,0.00029846194,0.0010571984,0.0049216617,0.00049786107,0.0066013336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993748,0.00029066612,0.000030320098,0.0001605667,0.00008849282,0.00005509605],"domain_scores_gemma":[0.99667716,0.0026813087,0.0002280122,0.00013740953,0.0001827587,0.00009344466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016723704,0.00095391646,0.0008223143,0.0008461331,0.00053947576,0.0013714554,0.0015897963,0.0012266309,0.0034949454],"category_scores_gemma":[0.0076448354,0.0005730576,0.0014780803,0.00058661296,0.00068303384,0.0010024136,0.0014379716,0.0022857548,0.00089094933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022013861,0.00011159304,0.004293131,0.00013189377,0.00015003589,0.00014712595,0.00019917513,0.8910468,0.0016244989,0.036241576,0.003963107,0.06187078],"study_design_scores_gemma":[0.0000037612115,0.00000873082,0.00012212369,0.0000059924214,0.0000053598337,0.000007776698,0.0000050575145,0.9886664,0.00009273789,0.01072023,0.00035778136,0.000004071333],"about_ca_topic_score_codex":0.013890657,"about_ca_topic_score_gemma":0.015832629,"teacher_disagreement_score":0.013890657,"about_ca_system_score_codex":0.001242499,"about_ca_system_score_gemma":0.0015044198,"threshold_uncertainty_score":0.0276196},"labels":[],"label_agreement":null},{"id":"W4416769941","doi":"10.3389/fdgth.2025.1680350","title":"Editorial: Socioeconomic inequalities in digital health","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Digital health; Digital divide; Inequality; Population; Digital transformation; Socioeconomic status; Preparedness; Health equity","score_opus":0.018586588774647177,"score_gpt":0.3448378903045736,"score_spread":0.32625130152992643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416769941","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044991033,0.0035823432,0.00005488716,0.03610262,0.95903563,0.000026130727,0.00011236109,0.00003964383,0.0010014239],"genre_scores_gemma":[0.00052987953,0.0035439592,0.00004244354,0.018020889,0.97471356,0.00003360796,0.000053172695,0.000025676247,0.0030368718],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925621,0.0013308052,0.00086768315,0.0011981508,0.0033900614,0.00065120653],"domain_scores_gemma":[0.9665337,0.019782014,0.0019076796,0.00091033825,0.008025204,0.002841025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007373584,0.0047462154,0.004891759,0.0047493814,0.004285493,0.011012844,0.006490163,0.02034559,0.03948919],"category_scores_gemma":[0.03945891,0.0014421366,0.0045404765,0.0023032846,0.004355499,0.006401564,0.002930246,0.021283343,0.016439607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029856745,0.000013487477,0.000048502643,0.00041818677,0.000018467765,0.0000837179,0.000033603756,0.000021611402,0.000026470208,0.00027632088,0.99599224,0.0030375216],"study_design_scores_gemma":[0.00013618999,0.00005907618,0.0007873391,0.002851347,0.00010911348,0.00041985573,0.0002337955,0.00023694627,0.00017367661,0.0020180626,0.99292904,0.00004557441],"about_ca_topic_score_codex":0.002662737,"about_ca_topic_score_gemma":0.0029355825,"teacher_disagreement_score":0.03948919,"about_ca_system_score_codex":0.0042376798,"about_ca_system_score_gemma":0.004865189,"threshold_uncertainty_score":0.13210446},"labels":[],"label_agreement":null},{"id":"W4417354576","doi":"10.3389/fdgth.2025.1671364","title":"Consensus derived client outcomes and clinician actions for youth online chat mental health services: a Delphi study","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia","funders":"National Health and Medical Research Council; Medical Research Council; University of Canberra","keywords":"Delphi method; Mental health; Test (biology); Online chat; Service (business); The Internet; Mental health service; Computer-mediated communication; Delphi","score_opus":0.06201773657378069,"score_gpt":0.4391661940604458,"score_spread":0.37714845748666515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417354576","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":[0.96223754,0.00024691722,0.0144622065,0.0009865438,0.000053037067,0.013699791,0.00032591642,0.000040368832,0.007947708],"genre_scores_gemma":[0.9241797,0.0007838448,0.03635474,0.0008180104,0.000024511939,0.03529723,0.0003765373,0.000030478297,0.002135019],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9524116,0.03351415,0.0043426002,0.0014207632,0.004113468,0.0041974043],"domain_scores_gemma":[0.93947786,0.03593753,0.0026086287,0.0018091566,0.018072167,0.0020947293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07525553,0.00082454894,0.00092033466,0.0038694902,0.003445603,0.0022689279,0.0016595694,0.0015593071,0.0031080225],"category_scores_gemma":[0.0699733,0.0009563035,0.0013907718,0.0023502535,0.0023332315,0.0015270524,0.0078050285,0.0016337765,0.0008573482],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009829834,0.0008564932,0.05133397,0.0033240896,0.000117903954,0.0015124903,0.77879477,0.0016178009,0.0071371812,0.0032640642,0.0038317498,0.14722657],"study_design_scores_gemma":[0.0002534586,0.0027220938,0.051642366,0.0031047128,0.00014488098,0.0008001408,0.9082015,0.007695884,0.0048847925,0.0034170933,0.016921328,0.00021166031],"about_ca_topic_score_codex":0.0051016863,"about_ca_topic_score_gemma":0.0072186748,"teacher_disagreement_score":0.07525553,"about_ca_system_score_codex":0.005515467,"about_ca_system_score_gemma":0.014108904,"threshold_uncertainty_score":0.39799404},"labels":[],"label_agreement":null}]}