{"id":"W1914116038","doi":"10.2196/mhealth.4666","title":"Home Telehealth Video Conferencing: Perceptions and Performance","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Videoconferencing; Telerehabilitation; Telemedicine; Medicine; Nursing; Session (web analytics); Multimedia; Health care; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008810034,0.0002311676,0.0005056742,0.0002716042,0.0003507986,0.00002372039,0.00005082183,0.0001227269,0.00006264103],"category_scores_gemma":[0.00006134864,0.0001966099,0.00002478444,0.0002790682,0.0001364402,0.0001876811,0.00004052467,0.0004271657,0.00002968092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185406,"about_ca_system_score_gemma":0.001524623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005701585,"about_ca_topic_score_gemma":0.0001151781,"domain_scores_codex":[0.9976794,0.00009686537,0.0006533214,0.0004301236,0.0003917172,0.0007485985],"domain_scores_gemma":[0.9971452,0.00006979317,0.0002070946,0.0002636324,0.0001936582,0.002120667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005846547,0.0001436737,0.8203592,0.003512499,0.00001312975,0.000009412152,0.00548448,2.34485e-7,0.00002089266,0.0009633701,0.01474146,0.154167],"study_design_scores_gemma":[0.00453887,0.003730101,0.969635,0.0001209943,0.00008034467,0.0004128806,0.003348107,0.0004505918,0.000006447411,0.0001898304,0.01731431,0.0001725826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816183,0.001301783,0.0001002502,0.01449243,0.0002191076,0.001015413,0.00001752074,0.0001429106,0.001092241],"genre_scores_gemma":[0.9845476,0.003783335,0.001319657,0.009387558,0.0004896919,0.00008849763,0.0001036723,0.0000300678,0.0002498795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1539944,"threshold_uncertainty_score":0.8017517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101531964706162,"score_gpt":0.4104021053741193,"score_spread":0.3088701406679573,"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."}}