{"id":"W6958346441","doi":"10.6084/m9.figshare.26990677.v1","title":"Additional file 5 of Rates of compliance and adherence to high-intensity interval training: a systematic review and Meta-analyses","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interval (graph theory); Population; Compliance (psychology); Table (database); Confidence interval; Interval data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005792453,0.001660938,0.003922987,0.005493306,0.0006510734,0.001902779,0.001926093,0.001564468,0.8221568],"category_scores_gemma":[0.0628088,0.001143248,0.004927794,0.008117054,0.0003580406,0.003057961,0.001406097,0.001101542,0.03434995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710315,"about_ca_system_score_gemma":0.002956227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005017997,"about_ca_topic_score_gemma":0.0132118,"domain_scores_codex":[0.9972121,0.0007137703,0.001070126,0.000378296,0.0004079618,0.0002177422],"domain_scores_gemma":[0.9396845,0.04904685,0.006159407,0.001339504,0.003317663,0.0004521575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003604934,0.0002073134,0.003806868,0.5329689,0.003898175,0.000172048,0.0002067749,0.0009377452,0.0003597387,0.001978423,0.4311052,0.02075383],"study_design_scores_gemma":[0.0908467,0.002232834,0.0732225,0.1973293,0.02517594,0.00118873,0.0008696446,0.004500295,0.001606054,0.0199967,0.5824196,0.0006117258],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0005472985,0.0007369735,0.0004591143,0.0002461704,0.00007649662,0.00125892,0.9954062,0.000262254,0.001006667],"genre_scores_gemma":[0.0431811,0.004729784,0.02099127,0.003673869,0.0006024433,0.07495731,0.813394,0.001334989,0.03713525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8221568,"threshold_uncertainty_score":0.2536717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5756679578757429,"score_gpt":0.4569566783396447,"score_spread":0.1187112795360982,"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."}}