{"id":"W2119726594","doi":"10.1139/h04-032","title":"Application of Near Infrared Spectroscopy to Exercise Sports Science","year":2004,"lang":"en","type":"review","venue":"Canadian Journal of Applied Physiology","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Athletes; Skeletal muscle; Sports medicine; Sports science; Reliability (semiconductor); Physical medicine and rehabilitation; Exercise physiology; Physical therapy; Medicine; Neuroscience; Computer science; Medical physics; Psychology; Physiology; Internal medicine; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004139272,0.000362834,0.00346336,0.001003303,0.0001206337,0.00001542221,0.0005475652,0.0003083259,0.000068996],"category_scores_gemma":[0.0000431393,0.0003052524,0.0008760217,0.001152237,0.0007356483,0.00004496409,0.00004814588,0.0005652598,0.00005798637],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006120643,"about_ca_system_score_gemma":0.01329898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004814136,"about_ca_topic_score_gemma":0.00004556039,"domain_scores_codex":[0.9976725,0.00002176568,0.0009569573,0.0004460632,0.0003236968,0.000579035],"domain_scores_gemma":[0.9969976,0.00002815364,0.0006912661,0.0007887861,0.0003590869,0.001135139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001128714,0.0001125091,0.000001833986,0.01308622,0.0005803477,0.0001796469,0.0006431461,0.0004694646,0.006552597,0.001844392,0.001263184,0.974138],"study_design_scores_gemma":[0.00111894,0.0004375163,0.001296007,0.01107038,0.003089684,0.0008422723,0.00007203069,0.000003692228,0.002060902,0.003821692,0.9755614,0.000625431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003588681,0.9913913,0.000170488,0.0000224855,0.0005487848,0.001575961,0.00004074226,0.00001071177,0.002650852],"genre_scores_gemma":[0.03416643,0.9617408,0.003120606,0.0001421841,0.0005654559,0.00007130335,0.00008316149,0.00008671448,0.00002334727],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9742983,"threshold_uncertainty_score":0.99994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103705319846652,"score_gpt":0.2807561649319997,"score_spread":0.2697191117335331,"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."}}