{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009338034,0.0001346934,0.0002784098,0.0008486391,0.0004896829,0.00003038277,0.00002391812,0.0001448607,0.000005326907],"category_scores_gemma":[0.00008434888,0.0001004227,0.00001374158,0.0006301859,0.0002182678,0.0001224068,0.00002007811,0.0002534091,1.049256e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021762,"about_ca_system_score_gemma":0.0003004555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020289,"about_ca_topic_score_gemma":0.001577748,"domain_scores_codex":[0.998677,0.00004202934,0.0004602564,0.0003574864,0.0001650602,0.0002982043],"domain_scores_gemma":[0.9992649,0.0001386375,0.0002298767,0.0001302713,0.0001078554,0.0001284755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001570636,0.00001800794,0.6968193,0.0008581101,0.00006894013,0.000003199412,0.002279063,7.111452e-7,0.0002926207,0.003101782,0.00009646076,0.2963048],"study_design_scores_gemma":[0.02314036,0.0327773,0.7337644,0.0007702419,0.0007312604,0.002884121,0.1615444,0.002098762,0.0009269224,0.008044347,0.03283332,0.0004845787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273184,0.003737025,0.0439811,0.02213572,0.00008408399,0.002492516,0.00002124418,0.0002279128,0.000001996232],"genre_scores_gemma":[0.994553,0.001394809,0.00306996,0.0005265991,0.0000692812,0.0003145034,0.00004889092,0.00001812005,0.000004802429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2958202,"threshold_uncertainty_score":0.409512,"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."}}