{"id":"W4413838736","doi":"10.24908/iqurcp19856","title":"The effectiveness of polarized versus time-matched high-intensity interval training in untrained individuals","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"High-intensity interval training; Training (meteorology); Intensity (physics); Interval (graph theory); Physical medicine and rehabilitation; Statistics; Medicine; Physical therapy; Mathematics; Physics; Optics; Meteorology; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000352607,0.0003559695,0.0003893518,0.0001410543,0.0001961151,0.0002968968,0.0002676856,0.0003194806,0.001734654],"category_scores_gemma":[0.0005659083,0.0001411752,0.0002435436,0.0001029054,0.0002196698,0.0003003104,0.0003682805,0.0003496714,0.000297687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009281804,"about_ca_system_score_gemma":0.0001675709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005089585,"about_ca_topic_score_gemma":0.0007624174,"domain_scores_codex":[0.9998685,0.00003797943,0.00000851146,0.0000380436,0.00001532826,0.000031571],"domain_scores_gemma":[0.9997631,0.0000539805,0.00003769952,0.0000258629,0.00001916653,0.0001002688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.5037202,0.04640152,0.03682085,0.001059221,0.0006774259,0.0001488284,0.0005930456,0.002179011,0.1646743,0.0002687069,0.0005703774,0.2428866],"study_design_scores_gemma":[0.008212515,0.5914103,0.3743312,0.0001873849,0.000828717,0.0002095485,0.0007349715,0.003728935,0.01800506,0.0004574758,0.00183181,0.00006217509],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990207,0.0002755306,0.0001514829,0.00001556628,0.00002357617,0.00002045965,0.00002785787,0.000004829484,0.0004599705],"genre_scores_gemma":[0.998381,0.0003026323,0.0003525625,0.00005290082,0.0000336207,0.00006604825,0.0000977297,0.000002881512,0.0007108238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001734654,"threshold_uncertainty_score":0.005802989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08384104691397079,"score_gpt":0.38322859749234,"score_spread":0.2993875505783692,"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."}}