{"id":"W3144269508","doi":"10.3390/ijerph18073781","title":"Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Physical Activity and Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Residence; Multilevel model; Demography; Index (typography); Psychology; Pace; Variance (accounting); Analysis of variance; Wage; Body mass index; Statistics; Geography; Mathematics; Medicine; Computer science; Economics","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":[0.002189136,0.0003553692,0.001048723,0.002165736,0.001043331,0.001028158,0.0007822172,0.0004931533,0.001616317],"category_scores_gemma":[0.005385117,0.0003915305,0.001817567,0.002250698,0.0005021876,0.0005773112,0.001614446,0.0007881821,0.0001306788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005575824,"about_ca_system_score_gemma":0.0008548957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05752225,"about_ca_topic_score_gemma":0.05829285,"domain_scores_codex":[0.9980122,0.0006831742,0.0001577259,0.0006178713,0.0002769563,0.0002520478],"domain_scores_gemma":[0.9973354,0.001252453,0.0004784917,0.000421615,0.000354569,0.0001574028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008670496,0.00008239516,0.9861082,0.00008215263,0.0007532752,0.00007376696,0.003244278,0.0003927784,0.0003939594,0.0004641356,0.0003017522,0.008016543],"study_design_scores_gemma":[0.000005918547,0.0001411835,0.9918327,0.00008406775,0.0003735999,0.00007603729,0.002891759,0.003174308,0.0001034493,0.0005350423,0.0007637131,0.00001810024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946801,0.0003945931,0.002615889,0.0001628708,0.00001055739,0.0000528713,0.0008084327,0.00002757105,0.00124709],"genre_scores_gemma":[0.9979694,0.00007862278,0.001213941,0.00001576414,0.000005818691,0.00005663559,0.0005135132,0.000008437773,0.0001378898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05752225,"threshold_uncertainty_score":0.1143748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0973711220496871,"score_gpt":0.38432706438363,"score_spread":0.2869559423339428,"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."}}