{"id":"W2062130835","doi":"10.1080/02640414.2011.582507","title":"Changes in locomotive rates during senior elite rugby league matches","year":2011,"lang":"en","type":"article","venue":"Journal of Sports Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Quarter (Canadian coin); Elite; Mathematics; Engineering; Operations management; Aeronautics; Simulation; History; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008419083,0.0001040091,0.0002956816,0.0004394175,0.00008249794,0.00001738648,0.0001200783,0.00004061597,0.0002599462],"category_scores_gemma":[0.00001744911,0.00006940548,0.00006286299,0.0003907348,0.0002291153,0.0003399492,0.00001922689,0.0001980244,0.000003936507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002869305,"about_ca_system_score_gemma":0.000137178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002819387,"about_ca_topic_score_gemma":0.00003449973,"domain_scores_codex":[0.9987934,0.000004030426,0.0003836914,0.0001331361,0.0004300354,0.0002557436],"domain_scores_gemma":[0.9993696,0.00001057018,0.0003469683,0.00007533954,0.00009192207,0.0001055733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008936388,0.00006267914,0.9874958,0.0000288953,0.000009661501,0.000705375,0.00609703,0.000008502494,0.00116432,0.00001779993,0.000010499,0.004310101],"study_design_scores_gemma":[0.0004977715,0.0002352516,0.9708453,0.0007100611,0.00002271676,0.0008017624,0.008396271,0.00001376158,0.018174,0.0001333297,0.00009012022,0.00007966995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957752,0.0004999391,0.00000149958,0.0003403457,0.0002419262,0.00007459248,2.866013e-7,0.000008956363,0.003057268],"genre_scores_gemma":[0.9975298,0.0006001219,0.001318523,0.0001249163,0.0002185249,0.000001168841,2.466646e-7,0.000006266937,0.0002003975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01700968,"threshold_uncertainty_score":0.2846229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653782428732942,"score_gpt":0.2924577275094468,"score_spread":0.2459199032221174,"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."}}