{"id":"W3037813925","doi":"10.1016/j.maturitas.2020.06.024","title":"Telemedicine for housebound older persons during the Covid-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Maturitas","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Jewish General Hospital","funders":"Jewish General Hospital","keywords":"Medicine; Telemedicine; Coronavirus disease 2019 (COVID-19); Pandemic; Older people; Gerontology; 2019-20 coronavirus outbreak; Excellence; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Outbreak; Medical emergency; Health care; Virology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003247051,0.0001251261,0.0002105212,0.00003706801,0.001145745,0.00001378345,0.0001879572,0.0001288261,0.0005956485],"category_scores_gemma":[0.0005151088,0.00008169181,0.00008818899,0.0001753467,0.00006283473,0.00003727178,0.00005925034,0.0004253139,0.0001022628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381525,"about_ca_system_score_gemma":0.0002142286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001815077,"about_ca_topic_score_gemma":0.0001082012,"domain_scores_codex":[0.9988108,0.00012587,0.0002498096,0.0002308254,0.0001623771,0.0004202889],"domain_scores_gemma":[0.9987288,0.0006607694,0.00009487351,0.0002132881,0.00004430836,0.0002580378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002363756,0.00001832298,0.02256671,0.0009373833,0.00004386499,0.000009093905,0.05387443,0.000003127452,0.0006846056,0.0002272586,0.9210212,0.000377633],"study_design_scores_gemma":[0.002698816,0.00009970203,0.02274233,0.00004961967,0.00009995742,0.00001656557,0.02758314,0.00002652446,0.00002006054,0.0003436384,0.9461419,0.0001777681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044698,0.002747737,0.001079264,0.1840435,0.002028742,0.002630502,0.0002382988,0.000664933,0.002097308],"genre_scores_gemma":[0.9761549,0.00005049252,0.0001866711,0.01762833,0.002024874,0.0002173717,0.00003873488,0.00004101143,0.003657592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716852,"threshold_uncertainty_score":0.8812262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09913934931280091,"score_gpt":0.407517477870303,"score_spread":0.308378128557502,"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."}}