{"id":"W4281631684","doi":"10.3390/sports10060087","title":"Special Issue “Optimising Interval Training Prescription”","year":2022,"lang":"en","type":"editorial","venue":"Sports","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Training (meteorology); High-intensity interval training; Modalities; Interval (graph theory); Athletes; Interval training; Computer science; Physical therapy; Medicine; Mathematics; Geography; Combinatorics; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006052813,0.0004420949,0.0009241545,0.0003485374,0.0002392633,0.00005938302,0.0001934325,0.0005414805,0.0320723],"category_scores_gemma":[0.0001194232,0.0004546608,0.0003341625,0.0002260839,0.00008383998,0.0001972501,0.0001284239,0.001942615,0.00006542206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749572,"about_ca_system_score_gemma":0.0009065221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004440905,"about_ca_topic_score_gemma":0.000008338564,"domain_scores_codex":[0.9963688,0.000009633541,0.0006873375,0.0006973158,0.001652779,0.0005841412],"domain_scores_gemma":[0.9987336,0.00003926094,0.0003485281,0.0005386029,0.0001318554,0.0002080868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002809908,0.00006940679,0.00136644,0.00016795,0.00009456913,0.001707888,0.003533837,0.00001792518,0.000002618271,0.000004536515,0.9594759,0.03327797],"study_design_scores_gemma":[0.001019554,0.0002610417,0.001905228,0.0005650201,0.0003223873,0.0001117343,0.001676813,0.00002341541,0.000006587354,0.00001434086,0.9936921,0.000401766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.004699409,0.000166437,0.000003036893,0.00009289841,0.8908857,0.0003539854,0.00004291312,0.0001962163,0.1035594],"genre_scores_gemma":[0.002610464,0.0001758945,0.0004379635,0.0001806379,0.9610414,0.00004401938,0.002412512,0.0001363591,0.03296078],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0705986,"threshold_uncertainty_score":0.9997905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121606781803351,"score_gpt":0.288676979070212,"score_spread":0.2674609112521785,"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."}}