{"id":"W3164067602","doi":"10.2196/26006","title":"Smartphone-Based VO2max Measurement With Heart Snapshot in Clinical and Real-world Settings With a Diverse Population: Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gold standard (test); Medicine; Population; Concordance; Internal medicine","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":[0.004951497,0.0008152176,0.0006020324,0.0004903236,0.0006561374,0.0006891625,0.000826686,0.001081503,0.001138143],"category_scores_gemma":[0.009394556,0.0002725984,0.000668271,0.0003201169,0.0008786642,0.0005473462,0.0009447514,0.0006054989,0.0009027502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136505,"about_ca_system_score_gemma":0.0006460611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002973727,"about_ca_topic_score_gemma":0.004093918,"domain_scores_codex":[0.9973317,0.001190308,0.0002196601,0.0006009986,0.0005020276,0.0001552376],"domain_scores_gemma":[0.9950389,0.001212985,0.0004717333,0.0008782547,0.00207587,0.0003222742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003139236,0.005394674,0.9397061,0.0005005667,0.000801262,0.0007244562,0.003590213,0.001263257,0.009654779,0.0002949108,0.002373441,0.03255719],"study_design_scores_gemma":[0.0006206883,0.00814091,0.971826,0.0001359177,0.0005398489,0.002181366,0.001882117,0.007048143,0.00306129,0.0002423112,0.004250965,0.00007040644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947983,0.0001287142,0.003259861,0.00003783714,0.00002594833,0.0006353403,0.0004420473,0.00002839073,0.0006436055],"genre_scores_gemma":[0.992761,0.0001343727,0.004071239,0.0001885315,0.00003579304,0.0008805642,0.001476728,0.00001652097,0.0004353106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004951497,"threshold_uncertainty_score":0.02618629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07823474842625293,"score_gpt":0.3568866577192754,"score_spread":0.2786519092930225,"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."}}