{"id":"W4388869859","doi":"10.21105/joss.05497","title":"OpenTera: A Framework for TelehealthApplications","year":2023,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; AGE-WELL","keywords":"Telehealth; Data collection; Software deployment; Computer science; Wearable computer; Biometrics; Authentication (law); Videoconferencing; Telemedicine; Field (mathematics); Data science; Human–computer interaction; Wearable technology; Data access; Health care; World Wide Web; Multimedia; Database; Artificial intelligence; Computer security; Software engineering; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006600722,0.001696378,0.001364747,0.001985535,0.001165723,0.004592734,0.006939782,0.003288366,0.0204577],"category_scores_gemma":[0.009361942,0.002466453,0.002602964,0.001159918,0.002016221,0.007249594,0.0111475,0.004152833,0.01070302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477708,"about_ca_system_score_gemma":0.002051925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043449,"about_ca_topic_score_gemma":0.00242137,"domain_scores_codex":[0.9961408,0.0007959968,0.0006076422,0.000585366,0.001420734,0.0004495487],"domain_scores_gemma":[0.9964029,0.001496051,0.0002038613,0.0008832443,0.0005447944,0.0004692181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001545687,0.0006873386,0.002713491,0.002590481,0.0003521389,0.002581137,0.00401503,0.03125418,0.02391293,0.2365188,0.2254978,0.4683309],"study_design_scores_gemma":[0.00045736,0.0003338921,0.001952232,0.0008763174,0.0001334802,0.002518548,0.0003327539,0.1289026,0.01522395,0.1120914,0.7367457,0.0004316834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00144694,0.0004039301,0.9064915,0.0002443026,0.0001436332,0.0006511096,0.0008496695,0.08487272,0.004896177],"genre_scores_gemma":[0.08616582,0.002034507,0.8174056,0.001439714,0.0003757771,0.004781919,0.01363001,0.04114597,0.03302066],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0204577,"threshold_uncertainty_score":0.06843776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303871831525866,"score_gpt":0.3530332805725033,"score_spread":0.3099945622572446,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}