{"id":"W2515535415","doi":"10.2196/resprot.4985","title":"Application of a Web-Enabled Leg Training System for the Objective Monitoring and Quantitative Analysis of Exercise-Induced Fatigue","year":2016,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Applied psychology; Web application; Psychology; Computer science; Physical therapy; Medicine; Physical medicine and rehabilitation; World Wide Web","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":[0.0006041771,0.0005019177,0.0004762795,0.0009673472,0.0001344508,0.0003751247,0.0004443054,0.0005170178,0.003767151],"category_scores_gemma":[0.0007457148,0.0001565307,0.0002525951,0.0004136596,0.0001165836,0.0003055609,0.0004365332,0.0002239655,0.0008043767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325731,"about_ca_system_score_gemma":0.0002332842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004850689,"about_ca_topic_score_gemma":0.0006208754,"domain_scores_codex":[0.9996768,0.00006548771,0.00002911959,0.00009842889,0.0001085532,0.00002158582],"domain_scores_gemma":[0.9994907,0.0001528274,0.00006499494,0.00006401999,0.0001750835,0.00005245811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0030088,0.001672952,0.04735896,0.0008297203,0.000261916,0.000752087,0.000332105,0.003184251,0.5894455,0.0002658788,0.003897958,0.34899],"study_design_scores_gemma":[0.0008869903,0.007054638,0.4997851,0.0002746813,0.0006082514,0.00387575,0.0002090955,0.1898786,0.2823538,0.0006074772,0.01421149,0.000254121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.6802076,0.000712435,0.2994271,0.0001562118,0.0001608091,0.001513868,0.002851821,0.01109723,0.003872985],"genre_scores_gemma":[0.8686186,0.000257648,0.1248069,0.0002673916,0.00008669433,0.001274369,0.001146765,0.0001719271,0.003369747],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.003767151,"threshold_uncertainty_score":0.01260239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2642340264963531,"score_gpt":0.520043333889721,"score_spread":0.2558093073933679,"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."}}