{"id":"W4306830810","doi":"10.2196/41499","title":"Knowledge, Attitudes, and Perceptions of Jordanians Toward Adopting and Using Telemedicine: National Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Cross-sectional study; Bayesian multivariate linear regression; Perception; Multivariate analysis; Sample (material); Population; Medicine; Multivariate statistics; Computer-assisted web interviewing; Regression analysis; Family medicine; Psychology; Medical education; Health care; Environmental health; Computer science; Marketing; Political science; Business; Pathology","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":[0.001189001,0.0002451158,0.0003935793,0.0009266002,0.0006181861,0.0006244944,0.000264663,0.0006552222,0.002079275],"category_scores_gemma":[0.001765478,0.0004223261,0.0003522218,0.0008285319,0.0003760081,0.0008502522,0.0004938624,0.0006484322,0.000557849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349189,"about_ca_system_score_gemma":0.0005214153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003565152,"about_ca_topic_score_gemma":0.004649892,"domain_scores_codex":[0.9995207,0.0001114397,0.00006339932,0.00005744155,0.0001489848,0.00009819516],"domain_scores_gemma":[0.9986064,0.000219616,0.0005048713,0.00005537468,0.0002926623,0.0003211983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005286963,0.0004437943,0.995256,0.00002932198,0.00001626405,0.0000872087,0.001813201,0.00001928632,0.0001875339,0.00001225068,0.0001225045,0.00195964],"study_design_scores_gemma":[0.00001232587,0.0008997042,0.9900732,0.00003305341,0.00002140599,0.0004337058,0.007782126,0.0001495234,0.0001072845,0.00001844671,0.0004607261,0.000008427322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994549,0.00004377122,0.00002395783,0.00003040778,0.000001599439,0.00002085729,0.0000961025,9.269521e-7,0.0003275033],"genre_scores_gemma":[0.9990419,0.0001242761,0.0001275444,0.000114735,0.000008057181,0.0000443941,0.000168681,8.857123e-7,0.0003695871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003565152,"threshold_uncertainty_score":0.00708884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09694679425033703,"score_gpt":0.449750721007589,"score_spread":0.352803926757252,"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."}}