{"id":"W2059332746","doi":"10.2196/jmir.1938","title":"Telemedicine Service Use: A New Metric","year":2012,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Telemedicine; Telecare; Teleradiology; eHealth; Metric (unit); Service (business); Medicine; Medical emergency; Health care; Business; Marketing; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01710347,0.0007191416,0.001217052,0.01401917,0.0006612294,0.004326189,0.002058573,0.001116001,0.002785014],"category_scores_gemma":[0.05815392,0.0002688012,0.0009907094,0.0190769,0.002079488,0.008724889,0.002670398,0.001833537,0.0005437367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004587636,"about_ca_system_score_gemma":0.002732244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003252609,"about_ca_topic_score_gemma":0.00317241,"domain_scores_codex":[0.9747503,0.009251807,0.005736579,0.001210841,0.008467828,0.0005826411],"domain_scores_gemma":[0.914309,0.04072536,0.01739398,0.002963973,0.02069867,0.003909095],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006048797,0.0002416256,0.6278742,0.004712569,0.000819594,0.0001968489,0.004458463,0.002074976,0.0009723012,0.01644343,0.02844303,0.313158],"study_design_scores_gemma":[0.00008278741,0.001986848,0.8038884,0.004700933,0.0005153496,0.002988621,0.01501149,0.01215967,0.002288214,0.02301688,0.1330998,0.00026103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6750088,0.09053466,0.0789018,0.05107374,0.003208749,0.001224657,0.01619773,0.0008604925,0.08298937],"genre_scores_gemma":[0.9500288,0.009010694,0.03346632,0.001343099,0.0009696462,0.0006375669,0.003348894,0.00007237154,0.001122515],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9828965,"threshold_uncertainty_score":0.09045285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2240135802473915,"score_gpt":0.5262906430228892,"score_spread":0.3022770627754977,"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."}}