{"id":"W4399470448","doi":"10.1007/s12553-024-00887-y","title":"End-users’ satisfaction and adoption regarding the implementation of a technology solution for screening and counselling individuals with suspicious COVID-19: a cross-section study","year":2024,"lang":"en","type":"article","venue":"Health and Technology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Technology Sydney","keywords":"Likert scale; Patient satisfaction; Family medicine; Coronavirus disease 2019 (COVID-19); Confidence interval; Psychology; Medical education; Medicine; Applied psychology; Nursing; Disease; Pathology","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":[0.003066242,0.000149493,0.0004113108,0.001187538,0.000511762,0.0009962849,0.0002731937,0.0005210479,0.002281995],"category_scores_gemma":[0.008484914,0.0002464127,0.000605335,0.0009176946,0.0004315583,0.0007925425,0.0007621265,0.000642353,0.0002953725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013566,"about_ca_system_score_gemma":0.000399188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700901,"about_ca_topic_score_gemma":0.00160468,"domain_scores_codex":[0.9975486,0.001067832,0.0003376474,0.0001802661,0.0005698114,0.0002957953],"domain_scores_gemma":[0.9918366,0.00361176,0.002471781,0.0001519441,0.001168191,0.0007598124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000140096,0.0003257979,0.9891045,0.00007633503,0.00004803081,0.0001539753,0.004523197,0.00003302879,0.0001842799,0.0000314237,0.0001388755,0.005240514],"study_design_scores_gemma":[0.00001012194,0.0009505522,0.9887415,0.00004496818,0.00003091414,0.0003242527,0.009065934,0.0002829742,0.000146445,0.00001958512,0.0003655325,0.00001723844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995286,0.00005144204,0.00005626274,0.00003075872,0.000001759555,0.00002380756,0.00007329002,9.28136e-7,0.0002331347],"genre_scores_gemma":[0.9994532,0.00006544517,0.0001308234,0.00005577811,0.000003494647,0.00003863803,0.00009260829,0.00000120443,0.0001587978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003066242,"threshold_uncertainty_score":0.01621604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03809787030506749,"score_gpt":0.4087304076858741,"score_spread":0.3706325373808066,"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."}}