{"id":"W2909248124","doi":"10.2196/10418","title":"How Well iPhones Measure Steps in Free-Living Conditions: Cross-Sectional Validation Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedometer; Smartphone app; Spearman's rank correlation coefficient; Waist; Medicine; Limits of agreement; Activity monitor; Physical activity; Statistics; Physical therapy; Mathematics; Computer science; Body mass index; 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":[0.00427984,0.0005045432,0.0003664464,0.0006731969,0.0004959603,0.0008871382,0.000610259,0.000938822,0.001034157],"category_scores_gemma":[0.008909552,0.0004550486,0.0006365245,0.000530371,0.0004274845,0.001149349,0.0005577317,0.0005948613,0.0006460087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002646261,"about_ca_system_score_gemma":0.0003114084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00264448,"about_ca_topic_score_gemma":0.004955782,"domain_scores_codex":[0.9977581,0.0007169334,0.000322724,0.0005009237,0.0005503125,0.000151101],"domain_scores_gemma":[0.9937959,0.001642652,0.001645493,0.000707538,0.001888489,0.000319852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009669012,0.0002144737,0.996304,0.00003559281,0.0001481189,0.0000187072,0.0002819875,0.00004915298,0.0003592366,0.00001535184,0.0001483345,0.002328278],"study_design_scores_gemma":[0.00001246707,0.0003699065,0.9985372,0.00001975171,0.00005754818,0.00009823007,0.0001843359,0.0002516679,0.0001532169,0.00001261984,0.0002969212,0.00000618016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972394,0.000205662,0.0009911082,0.00002810276,0.00001870779,0.0001500114,0.0006437066,0.0000103561,0.0007130336],"genre_scores_gemma":[0.9969247,0.0001377399,0.001322614,0.00008478963,0.00001842622,0.0002288698,0.0009290896,0.00001006168,0.0003436788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00427984,"threshold_uncertainty_score":0.02263421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08520706137414956,"score_gpt":0.406597133969036,"score_spread":0.3213900725948864,"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."}}