{"id":"W4205870123","doi":"10.4103/injms.injms_62_21","title":"Effectiveness and Barriers of Telehealth Services During COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Indian Journal of Medical Specialities","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Medicine; Pandemic; Inclusion (mineral); Confidentiality; Health care; Telemedicine; Coronavirus disease 2019 (COVID-19); Population; MEDLINE; Family medicine; Nursing; Environmental health; Disease; Economic growth; Political science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01633488,0.0005198182,0.002866263,0.003311297,0.0008041878,0.004193105,0.001680425,0.001956479,0.003748833],"category_scores_gemma":[0.09765011,0.0005621993,0.004107045,0.004823069,0.001100482,0.004505428,0.002220221,0.001806243,0.0001684486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004217957,"about_ca_system_score_gemma":0.01310782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120217,"about_ca_topic_score_gemma":0.01278654,"domain_scores_codex":[0.9775842,0.01257878,0.004789052,0.0007789606,0.003174053,0.00109493],"domain_scores_gemma":[0.8995799,0.08604328,0.008927567,0.0005698069,0.004112579,0.0007668007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.000843921,0.0002730033,0.01548609,0.666846,0.005386414,0.0009364317,0.01786464,0.0006318325,0.0002708155,0.004059012,0.00597709,0.2814246],"study_design_scores_gemma":[0.0003415676,0.0007882528,0.04621781,0.8433754,0.01668696,0.001355605,0.03084603,0.0004777415,0.0006657115,0.002882083,0.05624601,0.0001168771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05223663,0.9278806,0.0003933379,0.01054434,0.000345134,0.0005577212,0.0007099436,0.00001737016,0.007314898],"genre_scores_gemma":[0.3190094,0.6739864,0.001197629,0.003616128,0.00021699,0.001086376,0.0003393746,0.00002084864,0.0005268049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01633488,"threshold_uncertainty_score":0.08638811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785653008835932,"score_gpt":0.3629899908880872,"score_spread":0.3351334607997279,"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."}}