{"id":"W4383302738","doi":"10.2196/43340","title":"Smartwatch-Based Maximum Oxygen Consumption Measurement for Predicting Acute Mountain Sickness: Diagnostic Accuracy Evaluation Study","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese People’s Liberation Army; National Natural Science Foundation of China","keywords":"Cardiorespiratory fitness; Medicine; VO2 max; Effects of high altitude on humans; Physical therapy; Logistic regression; Ventilatory threshold; Receiver operating characteristic; Altitude (triangle); Internal medicine; Blood pressure; Heart rate; Mathematics","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":[0.00249496,0.0002028466,0.0002313448,0.000106143,0.0004320582,0.00004265503,0.0001166349,0.0001272898,0.00001299306],"category_scores_gemma":[0.0005573335,0.0001944292,0.00005364508,0.0001498616,0.0000383968,0.00001076271,0.00005021616,0.0001123932,0.00002586916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063245,"about_ca_system_score_gemma":0.0006695434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008965296,"about_ca_topic_score_gemma":0.0004434754,"domain_scores_codex":[0.9977844,0.0002428731,0.0004236629,0.0005319874,0.0004781498,0.0005389326],"domain_scores_gemma":[0.998766,0.0001475126,0.0002048749,0.0003128925,0.0002984862,0.0002702127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003607311,0.002551742,0.797571,0.005955744,0.0007160187,0.00002632398,0.003300658,0.001213524,0.03681746,0.0001280105,0.03774008,0.1103721],"study_design_scores_gemma":[0.008451764,0.003583426,0.9680803,0.000109255,0.0006071274,0.000007363014,0.0007443445,0.007935446,0.001149324,0.0003082254,0.008535959,0.0004874384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932967,0.0007864719,0.0009882485,0.00101162,0.0002772423,0.003463207,0.00008396961,0.00007092973,0.00002156855],"genre_scores_gemma":[0.9960983,0.0005212783,0.0001570999,0.0006881402,0.0003385842,0.001527167,0.0006105548,0.00003228752,0.00002661029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1705093,"threshold_uncertainty_score":0.7928594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09190980591704175,"score_gpt":0.394384512741317,"score_spread":0.3024747068242752,"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."}}