{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00622312,0.0002031571,0.0002828352,0.0005162811,0.0003565408,0.001243452,0.0002843425,0.000384349,0.002024933],"category_scores_gemma":[0.01738247,0.0001132999,0.0004144334,0.0003506085,0.0004594667,0.0004425316,0.0007458669,0.0004866713,0.0002438014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028271,"about_ca_system_score_gemma":0.0004531561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985172,"about_ca_topic_score_gemma":0.001811309,"domain_scores_codex":[0.9962382,0.002168923,0.0002301868,0.0001790928,0.0008875131,0.0002961261],"domain_scores_gemma":[0.988916,0.005299481,0.002846432,0.000234051,0.001187998,0.001516013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003202267,0.005356946,0.8449086,0.0007237427,0.0005265574,0.0003440636,0.03421418,0.0009151294,0.002901007,0.0002652735,0.00170235,0.1049398],"study_design_scores_gemma":[0.0001474073,0.004096711,0.9824033,0.00006265114,0.0000915862,0.0002321215,0.01008246,0.0009459277,0.0006906991,0.0001185791,0.001088182,0.00004025757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980269,0.0001726622,0.00009940144,0.00009392042,0.000004956459,0.00004840735,0.00005673297,0.000004633098,0.001492432],"genre_scores_gemma":[0.9995469,0.00008584552,0.00009409065,0.00002572295,0.000007189938,0.00002325296,0.00003590474,0.000001716872,0.0001792828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00622312,"threshold_uncertainty_score":0.03291142,"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."}}