{"id":"W4409993320","doi":"10.1186/isrctn95727228","title":"High versus low load training in females","year":2025,"lang":"en","type":"dataset","venue":"http://isrctn.com/","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Training (meteorology); Biology; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007117067,0.0022058,0.001394264,0.001283834,0.0005022376,0.001095636,0.002276606,0.002103844,0.04578268],"category_scores_gemma":[0.003410365,0.0003784968,0.00193003,0.00158033,0.0003204978,0.0006308372,0.0009784357,0.00133651,0.04178043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009843174,"about_ca_system_score_gemma":0.001107111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03311005,"about_ca_topic_score_gemma":0.07652052,"domain_scores_codex":[0.9995025,0.00008971665,0.0000539999,0.0001706118,0.00007695102,0.0001061385],"domain_scores_gemma":[0.99913,0.000269511,0.0001157886,0.000149211,0.0001926292,0.0001430354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.0009247082,0.0001464627,0.005630583,0.0007910633,0.0001385389,0.00004416011,0.00002226695,0.0006063931,0.0001566956,0.0001966459,0.984909,0.006433529],"study_design_scores_gemma":[0.005107668,0.0005770041,0.09541954,0.002106532,0.0008213648,0.000572326,0.0005342067,0.005907841,0.001493588,0.003053494,0.8842134,0.00019309],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002302393,0.0002565815,0.00007612853,0.000214443,0.000105706,0.00003151658,0.9957074,0.0001868868,0.001119001],"genre_scores_gemma":[0.003625088,0.0001341497,0.0002479373,0.000139494,0.0000421134,0.0001297474,0.9933837,0.00004696853,0.00225073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04578268,"threshold_uncertainty_score":0.1531584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626097981361817,"score_gpt":0.315932906711769,"score_spread":0.2696719268981509,"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."}}