{"id":"W4241042437","doi":"10.2196/12864","title":"Correction: A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study","year":2018,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Korea Health Industry Development Institute","keywords":"Observational study; The Internet; Mobile phone; mHealth; Medical emergency; Medicine; Computer science; World Wide Web; Telecommunications; Internal medicine; Psychological intervention; 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":[0.008987166,0.001711323,0.002056864,0.002506844,0.002703424,0.003145649,0.00331389,0.007060187,0.02499362],"category_scores_gemma":[0.2110335,0.001031911,0.001813691,0.002315616,0.002368588,0.002056438,0.001788624,0.008788641,0.01560732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004328562,"about_ca_system_score_gemma":0.00822611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03105167,"about_ca_topic_score_gemma":0.02216075,"domain_scores_codex":[0.9869495,0.002446886,0.004134418,0.001374235,0.004365691,0.0007292359],"domain_scores_gemma":[0.859337,0.03901576,0.009233461,0.006318395,0.08374861,0.002346757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009403427,0.00001247303,0.0006062948,0.000564878,0.00004024295,0.0005453393,0.0001216203,0.00005498089,0.00006599254,0.0004692235,0.9909425,0.006482396],"study_design_scores_gemma":[0.0003872868,0.0001008186,0.007709853,0.003498473,0.0003186038,0.003674703,0.00100874,0.0009720913,0.001370874,0.002252336,0.9785201,0.0001860208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001038151,0.001844667,0.001599853,0.1153091,0.8726079,0.0001090314,0.004943912,0.0004665825,0.002080737],"genre_scores_gemma":[0.09860788,0.01368248,0.01565508,0.3896487,0.3276438,0.001649483,0.008402533,0.00350286,0.1412074],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03105167,"threshold_uncertainty_score":0.08361202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05419176882032446,"score_gpt":0.3381457322228728,"score_spread":0.2839539634025483,"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."}}