{"id":"W3166785002","doi":"10.1016/j.chb.2021.106882","title":"Something good out of something bad: eHealth and telemedicine in the Post-COVID era","year":2021,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Telemedicine; eHealth; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internet privacy; Psychology; Computer science; Health care; Virology; Medicine; Political science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.009461769,0.000232613,0.000417421,0.001732619,0.005273449,0.01003531,0.0008296248,0.006374549,0.009260778],"category_scores_gemma":[0.0290159,0.0003005716,0.0003951288,0.002910791,0.008136394,0.01282118,0.005496073,0.008405097,0.0004609575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008310695,"about_ca_system_score_gemma":0.01541581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03201886,"about_ca_topic_score_gemma":0.09262379,"domain_scores_codex":[0.9921173,0.003788507,0.0003567786,0.0003383873,0.001660242,0.001738664],"domain_scores_gemma":[0.9805576,0.009167176,0.001969647,0.0003080194,0.002421326,0.00557638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009130419,0.001829026,0.1266217,0.001978171,0.000106042,0.002915139,0.08134862,0.0002574741,0.0007849149,0.108658,0.1501539,0.524434],"study_design_scores_gemma":[0.0001043058,0.000643005,0.3487845,0.007531916,0.00009006533,0.002471318,0.372638,0.0005412921,0.0005426245,0.03067471,0.2357554,0.0002228113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1258344,0.05065855,0.0002709609,0.7944788,0.002926721,0.00003277271,0.00008352357,0.00001502404,0.02569922],"genre_scores_gemma":[0.8556994,0.04992338,0.0007205295,0.08481039,0.002951188,0.00007179137,0.00006193899,0.00003078321,0.005730538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03201886,"threshold_uncertainty_score":0.06366491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05547101330421738,"score_gpt":0.3928413508999379,"score_spread":0.3373703375957205,"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."}}