{"id":"W2896287830","doi":"10.2196/12048","title":"A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Mobile phone; The Internet; mHealth; Medicine; Telemedicine; Medical emergency; Computer science; Telecommunications; Health care; World Wide Web; Psychological intervention; Internal medicine; Nursing","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":[0.0004312609,0.0002050024,0.0003874027,0.0002352849,0.0001540817,0.00001400415,0.0001184397,0.0001286531,7.55362e-7],"category_scores_gemma":[0.00001391923,0.0002099925,0.0000469551,0.0003318296,0.00005639588,0.0002672353,0.0000280391,0.0001691048,9.468488e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003232423,"about_ca_system_score_gemma":0.00009984284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704248,"about_ca_topic_score_gemma":0.000002545404,"domain_scores_codex":[0.998372,0.0000343629,0.0006807868,0.0002984086,0.000254618,0.0003598357],"domain_scores_gemma":[0.9991881,0.00004910825,0.0002095805,0.0002091655,0.0001971133,0.0001469561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001317577,0.0001386449,0.9632467,0.004726869,0.00009287568,0.000007103829,0.01121211,0.001138232,0.01082791,0.0001694633,0.00001467009,0.008293638],"study_design_scores_gemma":[0.005917255,0.0149744,0.5380661,0.005235368,0.0006849873,0.0001365397,0.06007486,0.02856571,0.3430787,0.000804414,0.0002499149,0.002211661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919418,0.0004964044,0.004089715,0.00001005263,0.001197076,0.001949841,0.00002362663,0.0002564527,0.00003507709],"genre_scores_gemma":[0.9934692,0.00001500709,0.005692726,0.000006193579,0.0003251296,0.0004285109,0.00001116641,0.00004901254,0.000003036073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4251806,"threshold_uncertainty_score":0.8563245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763455703636564,"score_gpt":0.3234327686598474,"score_spread":0.2757982116234818,"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."}}