{"id":"W2521044201","doi":"10.1016/j.rehab.2016.07.385","title":"Whole-body strength training with Huber Motion Lab and traditional strength training in cardiac rehabilitation: A randomized controlled study","year":2016,"lang":"en","type":"article","venue":"Annals of Physical and Rehabilitation Medicine","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Training (meteorology); Physical medicine and rehabilitation; Rehabilitation; Strength training; Physical therapy; Motion (physics); Physical strength; Medicine; Psychology; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003687872,0.0024968,0.009359656,0.001163788,0.001146543,0.001511318,0.002232475,0.003258854,0.01013463],"category_scores_gemma":[0.002678689,0.001724293,0.003909456,0.001377983,0.003007997,0.002151166,0.0009473085,0.003983974,0.001215445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271246,"about_ca_system_score_gemma":0.001865708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924016,"about_ca_topic_score_gemma":0.003954924,"domain_scores_codex":[0.9976627,0.000963659,0.0002471707,0.0005627729,0.0002016218,0.0003622453],"domain_scores_gemma":[0.997934,0.0007017107,0.0003815917,0.0002032735,0.0001760458,0.0006033298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9884194,0.006756024,0.0002044345,0.0004398724,0.0008728628,0.00001023069,0.0000178814,0.00005467489,0.0005616374,0.0000263693,0.00007597708,0.00256043],"study_design_scores_gemma":[0.9685923,0.02921976,0.000912912,0.00002659093,0.0009363681,0.000004450992,0.00001205452,0.00009571761,0.0000877271,0.00003017584,0.00007305308,0.000008805428],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981051,0.008627826,0.001165771,0.0004073263,0.0009621668,0.005721522,0.0006659401,0.0001397399,0.001258694],"genre_scores_gemma":[0.9790893,0.005356687,0.002751378,0.0009187614,0.0014008,0.007249846,0.000673171,0.00003594298,0.002524032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013463,"threshold_uncertainty_score":0.03390372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704337837350231,"score_gpt":0.2983988892597093,"score_spread":0.271355510886207,"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."}}