{"id":"W4396893679","doi":"10.3897/pharmacia.71.e113509","title":"Acceptance factors of telemedicine in times of COVID-19: Case Argentina","year":2024,"lang":"en","type":"article","venue":"Pharmacia","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Telemedicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pandemic; Computer science; Geography; Virology; Medicine; Health care; Economic growth; Outbreak; Internal medicine; Economics","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":[0.0006870179,0.0001836395,0.0002395507,0.000425166,0.000633197,0.0004996639,0.000206709,0.0003751054,0.001260544],"category_scores_gemma":[0.001670463,0.0001762339,0.0002240818,0.0005156202,0.0004036747,0.0002446663,0.0003800792,0.0004415064,0.0001130982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008490774,"about_ca_system_score_gemma":0.0004978143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04242711,"about_ca_topic_score_gemma":0.04291269,"domain_scores_codex":[0.9996374,0.0001322368,0.00002647285,0.00004062022,0.00006405296,0.00009920433],"domain_scores_gemma":[0.9992524,0.0002399346,0.0002193393,0.00005112488,0.0001244598,0.0001127913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001290425,0.0009101118,0.9802759,0.00004168898,0.00001612493,0.0009447735,0.008728757,0.00006512729,0.0009801051,0.0001856107,0.0001530481,0.007569835],"study_design_scores_gemma":[0.00001153617,0.0003581595,0.9883134,0.0000139701,0.00001601975,0.0004570345,0.009554682,0.0003559082,0.0001563771,0.00004242388,0.0007143583,0.000006101298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995838,0.00002070863,0.00003191045,0.00002521339,8.434243e-7,0.00001192942,0.00001845057,3.858449e-7,0.0003066925],"genre_scores_gemma":[0.9995583,0.0000691312,0.00009530785,0.00001889178,0.000002998507,0.00001861839,0.00004955184,6.131347e-7,0.000186564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04242711,"threshold_uncertainty_score":0.08436036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07754787667650181,"score_gpt":0.4445136630291101,"score_spread":0.3669657863526082,"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."}}