{"id":"W4404120836","doi":"10.24908/qap.v1i2.17238","title":"SeamlessMD and the Evolution of Virtual Health Apps in Canada","year":2024,"lang":"en","type":"article","venue":"Qapsule Queen s Undergraduate Health Sciences Journal","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Mobile apps; Computer science; World Wide Web; Internet privacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005505842,0.0002844051,0.0002892226,0.001982218,0.005361015,0.008964185,0.002008129,0.001607379,0.01227447],"category_scores_gemma":[0.0260964,0.0004742452,0.0006862146,0.003706437,0.00235795,0.002802556,0.004122511,0.00217468,0.0008405153],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08348633,"about_ca_system_score_gemma":0.2450156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883732,"about_ca_topic_score_gemma":0.9905996,"domain_scores_codex":[0.9943843,0.0005341758,0.0002531294,0.0005014681,0.002764128,0.001562912],"domain_scores_gemma":[0.9673443,0.003777525,0.001113677,0.0009600176,0.01816429,0.00864011],"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":[0.0009711615,0.0006922317,0.1708136,0.0009502305,0.0001048744,0.0009640303,0.008813816,0.003827292,0.00241138,0.08960041,0.2066267,0.5142244],"study_design_scores_gemma":[0.0002589257,0.0004986683,0.3310231,0.001638999,0.0001565238,0.0005201908,0.01605217,0.01248022,0.001784565,0.005615602,0.6296517,0.0003193797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.544321,0.01089705,0.008452319,0.1935414,0.002192713,0.0008527958,0.01087803,0.001775642,0.227089],"genre_scores_gemma":[0.9196917,0.004907857,0.0138001,0.01397065,0.0001600441,0.0001750313,0.002546418,0.0003160579,0.04443223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9165137,"threshold_uncertainty_score":0.6057386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016626222975666,"score_gpt":0.3395703358468257,"score_spread":0.319404073617069,"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."}}