{"id":"W1997718136","doi":"10.1249/01.mss.0000274204.29337.9f","title":"Weather Conditions for Optimal Marathon Performance","year":2007,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Sports Performance and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Geography; Meteorology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002087013,0.0001790903,0.000302823,0.0003283604,0.0004680447,0.0006431604,0.0001344112,0.0002343053,0.002823383],"category_scores_gemma":[0.0006301071,0.0001181873,0.0001370971,0.0003418361,0.000194901,0.000252421,0.0002299024,0.0001980525,0.0004477444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804253,"about_ca_system_score_gemma":0.0003695304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007660501,"about_ca_topic_score_gemma":0.01506583,"domain_scores_codex":[0.9998356,0.00003412407,0.00001773295,0.00004396308,0.00002881817,0.0000396409],"domain_scores_gemma":[0.9995498,0.0000568184,0.0001871253,0.00002689338,0.00009814981,0.00008118241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004295421,0.00006059822,0.9544266,0.0001493217,0.00007797933,0.000275916,0.0003231784,0.001233412,0.02996183,0.0001285846,0.001005298,0.01192775],"study_design_scores_gemma":[0.000002912524,0.00004485668,0.9987935,0.000006420567,0.000009152388,0.00005034937,0.000103208,0.0001327116,0.0004366598,0.00003536215,0.0003820426,0.000002757601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957975,0.0004250569,0.000842754,0.00006453388,0.0000171549,0.0000242394,0.0008286721,0.00003194601,0.00196807],"genre_scores_gemma":[0.9983229,0.0001804799,0.0005314163,0.0000188858,0.00002018267,0.00001372223,0.000670036,0.00001002302,0.0002323427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007660501,"threshold_uncertainty_score":0.01523185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247464714919843,"score_gpt":0.3198130636227727,"score_spread":0.2973384164735742,"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."}}