{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005984439,0.0005303836,0.0004872782,0.0005753008,0.000786004,0.0008567313,0.0005982527,0.0008714359,0.0006874684],"category_scores_gemma":[0.01537523,0.0004410885,0.0009615847,0.0005361545,0.000634882,0.000916168,0.0007829925,0.001022142,0.0003537022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007985972,"about_ca_system_score_gemma":0.001322159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004219012,"about_ca_topic_score_gemma":0.003910993,"domain_scores_codex":[0.9971915,0.001197049,0.0003538733,0.0004500475,0.000550374,0.0002572095],"domain_scores_gemma":[0.9875774,0.003579039,0.003312083,0.001980738,0.002734229,0.0008164703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005995324,0.001561375,0.9913192,0.00007551201,0.0002087719,0.00022166,0.00135927,0.0001698798,0.0005594357,0.0000505975,0.00026368,0.003611038],"study_design_scores_gemma":[0.000133041,0.005196822,0.9886687,0.0000654893,0.0001555297,0.0005186318,0.001827535,0.002087324,0.0004985845,0.00005036932,0.0007689298,0.00002898564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991995,0.00004123942,0.0003616286,0.00001556746,0.000005206119,0.0001233169,0.0001093952,0.00000359797,0.0001407313],"genre_scores_gemma":[0.9989625,0.00004622797,0.0003896115,0.00004993218,0.00000800415,0.000148434,0.0003119042,0.000004428438,0.00007899548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005984439,"threshold_uncertainty_score":0.03164911,"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."}}