{"id":"W2909405198","doi":"10.1139/apnm-2018-0774","title":"Regional and muscle-specific adaptations in knee extensor hypertrophy using flywheel versus conventional weight-stack resistance exercise","year":2019,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Sports Performance and Training","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centrum för idrottsforskning; Vetenskapsrådet","keywords":"Muscle hypertrophy; Vastus medialis; Medicine; Eccentric; Magnetic resonance imaging; Squat; Resistance training; Cardiology; Internal medicine; Electromyography; Anatomy; Physical therapy; Physical medicine and rehabilitation; Radiology","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":[0.0000712106,0.0001517001,0.0003612111,0.0001745598,0.0000953379,0.000009486444,0.00002966736,0.0001108598,0.0001155434],"category_scores_gemma":[0.000001999564,0.0001457276,0.00005016667,0.0001593829,0.0001563055,0.0001063745,0.00001835411,0.0001831268,0.00001935932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001628676,"about_ca_system_score_gemma":0.00003415198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004827503,"about_ca_topic_score_gemma":0.000002279228,"domain_scores_codex":[0.9990619,0.000009551748,0.0002351919,0.0003529584,0.0001245241,0.0002158558],"domain_scores_gemma":[0.9995922,0.00003794186,0.00007558062,0.0001543671,0.0000562077,0.00008368285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01045358,0.001424504,0.002460926,0.0007178977,0.0002115365,0.00004332844,0.001543076,0.0000385056,0.7483,0.2122881,0.001601736,0.02091684],"study_design_scores_gemma":[0.01773494,0.00002583769,0.8340909,0.0001857032,0.00009023805,0.00001435463,0.0007658835,0.0002707035,0.0003052181,0.002086128,0.1442267,0.0002034236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919886,0.006529008,0.0000169587,0.0001748643,0.0002336961,0.0004694663,0.00001119358,0.00002338678,0.0005528171],"genre_scores_gemma":[0.9903446,0.004962982,0.003768284,0.0002898501,0.000231314,0.00008572503,0.0001648274,0.00001721026,0.000135246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.83163,"threshold_uncertainty_score":0.59426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352016613030272,"score_gpt":0.2596523057089259,"score_spread":0.2244506444058987,"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."}}