{"id":"W3129461573","doi":"10.2196/23335","title":"Utilization of Telehealth Services in Libya in Response to the COVID-19 Pandemic: Cross-sectional Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Pandemic; Telemedicine; Health care; Medicine; Usability; Cross-sectional study; Family medicine; Coronavirus disease 2019 (COVID-19); Nursing; Disease; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001888484,0.0002662567,0.0004091788,0.002135428,0.0007145304,0.001360489,0.0006031084,0.0007246734,0.002863004],"category_scores_gemma":[0.004042456,0.0003957778,0.0006727534,0.002649338,0.0004858039,0.0009292495,0.001089582,0.0007812652,0.0004569564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000833729,"about_ca_system_score_gemma":0.0007024953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076979,"about_ca_topic_score_gemma":0.008313793,"domain_scores_codex":[0.9986674,0.000439357,0.0002583157,0.0001332404,0.0002585301,0.0002431822],"domain_scores_gemma":[0.9961248,0.001265993,0.001603941,0.0001251383,0.0005018638,0.0003783685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000037045,0.00007147976,0.9977363,0.00004193163,0.00002851183,0.00005744409,0.0008015931,0.00002799166,0.00004520235,0.000009473381,0.00008649406,0.001056449],"study_design_scores_gemma":[0.000004851346,0.000173676,0.9942653,0.00004594916,0.000017975,0.0001723288,0.0049215,0.0001487757,0.00003632393,0.000005971549,0.0002015391,0.000005837348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990399,0.0001238423,0.00002108503,0.00004198273,0.000003142816,0.00002297127,0.0004478466,0.00000166646,0.0002976444],"genre_scores_gemma":[0.9991089,0.0002039074,0.00005580257,0.00005011927,0.000009136246,0.00005566936,0.000325512,0.000001353924,0.0001894462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076979,"threshold_uncertainty_score":0.02141422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08754268150770525,"score_gpt":0.4635608935164403,"score_spread":0.376018212008735,"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."}}