{"id":"W2883736543","doi":"10.6061/clinics/2018/e516","title":"Description of training loads using whole-body exercise during high-intensity interval training","year":2018,"lang":"en","type":"article","venue":"Clinics","topic":"Sports Performance and Training","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northwestern Polytechnic","funders":"","keywords":"Perceived exertion; Squat; Interval training; Physical therapy; Jumping; Rating of perceived exertion; High-intensity interval training; Physical medicine and rehabilitation; Exertion; Intensity (physics); Medicine; Blood lactate; Work (physics); Training (meteorology); Psychology; Heart rate; Internal medicine; Blood pressure; Physiology","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":[0.0003715466,0.000541623,0.0001922581,0.0003673914,0.0001917932,0.0003072963,0.0004027163,0.000363808,0.003085983],"category_scores_gemma":[0.0006320242,0.0000874191,0.0002357831,0.0002055908,0.0002132152,0.0002187245,0.0004410893,0.0003185239,0.0003781014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237835,"about_ca_system_score_gemma":0.00008398996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002986308,"about_ca_topic_score_gemma":0.000556893,"domain_scores_codex":[0.9997784,0.00004329211,0.00002740939,0.00004232544,0.00007484409,0.00003364921],"domain_scores_gemma":[0.9997336,0.00009560479,0.00006409739,0.000026046,0.0000492028,0.0000313356],"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":[0.005969435,0.004132934,0.1563436,0.003410506,0.0003164556,0.0009047131,0.00286876,0.008465726,0.5635949,0.0007729076,0.001555747,0.2516643],"study_design_scores_gemma":[0.0001007613,0.01073302,0.9386463,0.000217088,0.0001049609,0.001084304,0.0005165248,0.002878156,0.03892054,0.0001777979,0.006578168,0.00004235388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827221,0.0006759852,0.01040703,0.00003828853,0.00003767444,0.000367467,0.0003505823,0.00008223064,0.0053186],"genre_scores_gemma":[0.982572,0.00059345,0.01137783,0.000074021,0.00006278847,0.0008817252,0.000840439,0.00004403633,0.003553745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003085983,"threshold_uncertainty_score":0.01032358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219008589758289,"score_gpt":0.3406533798764452,"score_spread":0.2187525209006163,"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."}}