{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049504,0.004033943,0.005487768,0.003110331,0.002683731,0.008105042,0.003793893,0.01491024,0.03278134],"category_scores_gemma":[0.02012843,0.001250966,0.003450366,0.001446439,0.001701243,0.004300542,0.001451496,0.01909307,0.02471532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002866265,"about_ca_system_score_gemma":0.002944886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557962,"about_ca_topic_score_gemma":0.003895364,"domain_scores_codex":[0.9963961,0.0007031469,0.0005365286,0.0005176555,0.001614542,0.0002319825],"domain_scores_gemma":[0.9841313,0.006654168,0.001158491,0.0003883823,0.005470193,0.002197487],"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":[0.00006660007,0.00002015431,0.00001768834,0.0003202995,0.0000146677,0.00005480531,0.000006104428,0.00002501362,0.00005143045,0.0001729867,0.9933051,0.005945051],"study_design_scores_gemma":[0.000192405,0.00007080806,0.0003136701,0.0007703541,0.00007669871,0.0002311429,0.00002191574,0.0002145829,0.0001161861,0.0007618364,0.9972063,0.0000241189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002785771,0.005109506,0.00009904648,0.01552497,0.9767063,0.00003572211,0.00007807965,0.00008285411,0.002335684],"genre_scores_gemma":[0.0001585346,0.003373174,0.00007881467,0.01162333,0.9782583,0.00003621568,0.00004326888,0.00003142104,0.006396913],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03278134,"threshold_uncertainty_score":0.1096645,"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."}}