{"id":"W2999477599","doi":"10.1097/aln.0000000000003100","title":"Automated Continuous Noninvasive Ward Monitoring","year":2020,"lang":"en","type":"letter","venue":"Anesthesiology","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Assembly of First Nations","funders":"","keywords":"Medicine; Intensive care medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00006696255,0.0007738551,0.001110815,0.0002298055,0.0001012327,0.00006404406,0.000710392,0.001447355,0.00004574947],"category_scores_gemma":[0.0001112683,0.0008118078,0.0002482595,0.0002728052,0.0001337018,0.0001128352,0.0001084473,0.002367865,0.001462662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064661,"about_ca_system_score_gemma":0.0000633694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003760083,"about_ca_topic_score_gemma":5.929051e-7,"domain_scores_codex":[0.9973481,0.0001525058,0.0005417605,0.0006733752,0.0002783972,0.001005895],"domain_scores_gemma":[0.9985389,0.0005236295,0.0001345421,0.0005615385,0.00009557612,0.0001458208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008193344,0.000006396429,0.009879845,0.0004034132,0.000254227,0.02055614,0.0002423425,0.0002616304,0.01404881,0.000003101512,0.9534504,0.0008854558],"study_design_scores_gemma":[0.0005221899,0.0004095093,0.001702239,0.0004026179,0.0001821821,0.0008743069,0.00008840674,0.0001997791,0.05298415,0.0002954023,0.9404648,0.001874441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.60346,0.01497604,0.0006886088,0.2612749,0.03802213,0.00467199,0.0002489064,0.06501449,0.01164296],"genre_scores_gemma":[0.5527795,0.001355504,0.005327575,0.3720381,0.06410854,0.0007398252,0.0008318037,0.001923033,0.0008961183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1107632,"threshold_uncertainty_score":0.9999337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692319318152341,"score_gpt":0.223908830421689,"score_spread":0.2069856372401656,"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."}}