{"id":"W4256437579","doi":"10.31236/osf.io/y2kdx","title":"Physiological Determinants of Ultramarathon Trail Running Performance","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Sports Performance and Training","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hematocrit; Context (archaeology); VO2 max; Demography; Medicine; Athletes; Aerobic exercise; Race (biology); Linear regression; Animal science; Physical therapy; Internal medicine; Heart rate; Mathematics; Statistics; Blood pressure; Biology","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":[0.0002643306,0.0001850697,0.0001651819,0.0002012828,0.0001510257,0.0004123743,0.0001747788,0.0002652313,0.001466546],"category_scores_gemma":[0.0009495369,0.00007363886,0.00007932368,0.0001987728,0.0002678189,0.000196571,0.0002996489,0.0002993808,0.000326446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174298,"about_ca_system_score_gemma":0.0001860886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665815,"about_ca_topic_score_gemma":0.001834968,"domain_scores_codex":[0.99986,0.00003871452,0.00000950681,0.00003693901,0.00002218822,0.0000325934],"domain_scores_gemma":[0.9993232,0.0001282652,0.0002741245,0.00003661818,0.00007597013,0.0001617674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001048759,0.00009281311,0.9933779,0.00003097678,0.00005129926,0.00006058541,0.00008403595,0.0001608492,0.001466146,0.00003162982,0.00010036,0.004438573],"study_design_scores_gemma":[7.642606e-7,0.0000913512,0.9995332,0.000004901506,0.000005697783,0.00005311032,0.00004857899,0.00007648265,0.00008290522,0.00001494455,0.00008727598,8.96809e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989609,0.0002693181,0.0001427901,0.00003569473,0.000004857329,0.000004357214,0.00009126991,0.000004969445,0.0004858458],"genre_scores_gemma":[0.9994789,0.0001224518,0.00008099693,0.00001791912,0.00001233347,0.000003873854,0.0001369585,0.000001332585,0.0001451845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665815,"threshold_uncertainty_score":0.004906058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09796538856482484,"score_gpt":0.3300259373030952,"score_spread":0.2320605487382704,"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."}}