{"id":"W2462870698","doi":"10.2196/mhealth.5518","title":"Cardiorespiratory Improvements Achieved by American College of Sports Medicine’s Exercise Prescription Implemented on a Mobile App","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cardiorespiratory fitness; Medical prescription; Exercise prescription; Sports medicine; Physical activity; Medicine; Physical therapy; Mobile apps; Computer science; World Wide Web; Pharmacology","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":[0.0005876035,0.0002503449,0.001133196,0.0001898494,0.0001079003,0.000001559037,0.000074024,0.00008876017,0.00005193822],"category_scores_gemma":[0.00002375341,0.0001623539,0.0001585837,0.0002473722,0.0002771797,0.00004508453,0.00004193702,0.0001543446,0.000005718562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001791176,"about_ca_system_score_gemma":0.0002610461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000519004,"about_ca_topic_score_gemma":0.00000831402,"domain_scores_codex":[0.9976713,0.0001160515,0.0006413609,0.000505955,0.0005045406,0.0005608155],"domain_scores_gemma":[0.9983799,0.00004844078,0.000311009,0.0005382699,0.0001165986,0.0006057633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01399958,0.0006381347,0.01107746,0.002597069,0.0002151741,0.00003329591,0.0006590043,7.639311e-7,0.03504502,0.0002179954,0.08267738,0.8528391],"study_design_scores_gemma":[0.02113803,0.01269291,0.9043877,0.002167536,0.001022373,0.00005845191,0.001743831,0.00002366713,0.006363397,0.0003239677,0.04947075,0.0006073941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938604,0.002253164,0.00006480522,0.0008789859,0.0002063779,0.001980098,0.0003770947,0.00006841846,0.000310633],"genre_scores_gemma":[0.9924975,0.005497048,0.00004175895,0.001182366,0.0001923466,0.0003025949,0.00007279962,0.00003475536,0.0001788451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8933102,"threshold_uncertainty_score":0.66206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895125424956556,"score_gpt":0.3335690707151716,"score_spread":0.314617816465606,"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."}}