{"id":"W2066488918","doi":"10.1002/j.2333-8504.2000.tb01828.x","title":"ASSESSING TIME TRENDS IN SEX DIFFERENCES IN SWIMMING AND RUNNING","year":2000,"lang":"en","type":"article","venue":"ETS Research Report Series","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Measure (data warehouse); Event (particle physics); Statistics; Psychology; Econometrics; Demography; Computer science; Mathematics; Data mining","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":[0.001249896,0.0001284898,0.0001866739,0.0012967,0.0001288338,0.0005277427,0.0002616891,0.0002973835,0.003394755],"category_scores_gemma":[0.005455703,0.00009983697,0.0002532105,0.001861352,0.0001787411,0.0003865729,0.0003298837,0.0003468981,0.0005997982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680404,"about_ca_system_score_gemma":0.0001538479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009705533,"about_ca_topic_score_gemma":0.0091224,"domain_scores_codex":[0.9995033,0.00013977,0.00005183544,0.0001321748,0.00009800326,0.00007490617],"domain_scores_gemma":[0.9939709,0.002136169,0.002420863,0.0003324938,0.0007610213,0.000378518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009401186,0.00001894445,0.9954541,0.000008424247,0.00007996835,0.00002178153,0.0001101575,0.0001809228,0.000168139,0.000154022,0.0002326569,0.003476884],"study_design_scores_gemma":[8.075161e-7,0.00002796936,0.9992839,0.000001869029,0.000008983918,0.00001025888,0.0001387029,0.0002444544,0.00005899598,0.00004176916,0.0001808229,0.000001582242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960045,0.0001765986,0.0002952108,0.00009033074,0.00001100673,0.000005157786,0.002066164,0.000008016598,0.001343022],"genre_scores_gemma":[0.9976233,0.00006174201,0.00008139785,0.000008648735,0.000009323852,0.000003122063,0.001667241,0.000003237701,0.0005420613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009705533,"threshold_uncertainty_score":0.01929808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388809068291307,"score_gpt":0.3539880512241354,"score_spread":0.2151071443950047,"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."}}