{"id":"W4408164919","doi":"10.1093/eurjpc/zwaf127","title":"A comprehensive analysis of the impact of high-intensity interval vs. moderate-intensity continuous training on global and regional myocardial function in patients early after acute myocardial infarction: the STRAICT randomized controlled trial","year":2025,"lang":"en","type":"article","venue":"European Journal of Preventive Cardiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Centre Hospitalier Universitaire de Nîmes","keywords":"Medicine; Myocardial infarction; Randomized controlled trial; Intensity (physics); Cardiology; High-intensity interval training; Internal medicine; Confidence interval; Interval training","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001455341,0.001099329,0.003468949,0.0003308283,0.0003421266,0.0007871719,0.000723947,0.001292419,0.003751236],"category_scores_gemma":[0.001672019,0.0003432738,0.001970177,0.000409414,0.0005314846,0.0005178894,0.0004598456,0.001543834,0.0003647303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216649,"about_ca_system_score_gemma":0.0007910795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215466,"about_ca_topic_score_gemma":0.002406962,"domain_scores_codex":[0.9992138,0.0004163769,0.00007889247,0.0001318939,0.00006059057,0.00009846092],"domain_scores_gemma":[0.99924,0.0002330385,0.000217555,0.00005043697,0.00004220585,0.0002167746],"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":[0.974569,0.003041672,0.001960783,0.001495646,0.003785753,0.00002513951,0.00002785364,0.0002338768,0.0008735241,0.00007163733,0.0003597584,0.01355542],"study_design_scores_gemma":[0.9034613,0.06932441,0.0191131,0.0002722418,0.00637771,0.00003584547,0.00004722779,0.0004795855,0.0002249297,0.0001319926,0.0005089572,0.00002268248],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802138,0.01593296,0.0003916435,0.0005463823,0.0003514384,0.0008540916,0.0005745842,0.00004132487,0.001093698],"genre_scores_gemma":[0.9912594,0.004347355,0.0006302323,0.0006373956,0.0004971558,0.001194304,0.000592956,0.000007917321,0.0008333141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003751236,"threshold_uncertainty_score":0.01254916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229850262451634,"score_gpt":0.2580632241282459,"score_spread":0.2457647215037295,"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."}}