{"id":"W1980876879","doi":"10.1049/cp.2014.0770","title":"Assessing the Quality of Manual Respiratory Rate Measurements using Mobile Devices","year":2014,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality (philosophy); Environmental science; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001808517,0.0001353908,0.0001827278,0.00005052967,0.0000936049,0.00007808098,0.000197613,0.00005031705,0.00002364027],"category_scores_gemma":[0.00008288766,0.0001016719,0.000055246,0.0001528967,0.00004442712,0.000370635,0.00005060968,0.0001127993,0.00001132798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007834066,"about_ca_system_score_gemma":0.00001745955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007426301,"about_ca_topic_score_gemma":0.00002606432,"domain_scores_codex":[0.9987747,0.0002311099,0.0003548276,0.0001370167,0.0002888674,0.0002134994],"domain_scores_gemma":[0.9992535,0.0002407274,0.00008232529,0.0002887002,0.00008938595,0.00004535268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001481726,0.000009478143,0.08252856,0.0001035763,0.0000338144,2.440429e-7,0.00005932382,0.008446413,0.9062558,0.00006208695,0.0000201055,0.002479043],"study_design_scores_gemma":[0.0002630555,0.00002563479,0.07441339,0.00009608781,0.00002308781,5.605846e-7,0.0005881603,0.001991653,0.9216499,0.0001237528,0.0005731029,0.000251633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682236,0.0001831897,0.02465,0.000002388075,0.0003956136,0.0001358552,9.145804e-7,0.0001187645,0.006289684],"genre_scores_gemma":[0.9973577,0.000001019643,0.002366998,0.0000414545,0.0001861595,0.00001007546,3.962712e-7,0.00002724543,0.000008906406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02913415,"threshold_uncertainty_score":0.414606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356775895297569,"score_gpt":0.3758964444381011,"score_spread":0.2402188549083442,"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."}}