{"id":"W4285331548","doi":"10.2196/35028","title":"Telemedicine Preparedness Among Older Adults With Chronic Illness: Survey of Primary Care Patients","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Preparedness; Medicine; The Internet; Medical emergency; Population; Health care; Family medicine; World Wide Web; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001516912,0.0001858025,0.0004900562,0.0005673341,0.0004731606,0.000008251717,0.0002248187,0.00004902531,0.0007640294],"category_scores_gemma":[0.0001027428,0.0001388547,0.00004283161,0.001513485,0.0003283342,0.0002547452,0.0002827753,0.0007578972,0.000008671383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144053,"about_ca_system_score_gemma":0.001216486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002295126,"about_ca_topic_score_gemma":0.0008193409,"domain_scores_codex":[0.9953216,0.000637385,0.0006467055,0.0003364703,0.002386526,0.0006713315],"domain_scores_gemma":[0.9968944,0.0003022655,0.0002771518,0.0004277524,0.001855159,0.000243244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002578515,0.0006744179,0.8120859,0.003764621,0.00008283,0.00001877886,0.09966026,0.000004388772,0.00001695782,0.000009396166,0.009840467,0.07126345],"study_design_scores_gemma":[0.01111892,0.009452367,0.9413414,0.0005350034,0.00001901886,0.0000100224,0.03537121,0.00006443234,0.0002342016,0.000002240449,0.001714624,0.0001365533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939582,0.0003348011,0.00003091353,0.0001054198,0.0001214761,0.003652017,0.0003133137,0.0000403066,0.001443597],"genre_scores_gemma":[0.993553,0.0000406326,0.00002856197,0.0001007076,0.00007488998,0.001361658,0.004705238,0.00003722333,0.00009813111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292555,"threshold_uncertainty_score":0.8365586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589496946069073,"score_gpt":0.388900568479378,"score_spread":0.3530055990186873,"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."}}