{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002639339,0.0002401375,0.0002553083,0.0008029994,0.000157786,0.0003329574,0.0001269193,0.0003419536,0.0008793465],"category_scores_gemma":[0.001643244,0.000137504,0.0001048665,0.0003522312,0.0001581042,0.0001516767,0.0002882674,0.0001318374,0.0003205381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271972,"about_ca_system_score_gemma":0.00006271893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003692065,"about_ca_topic_score_gemma":0.005006843,"domain_scores_codex":[0.9997582,0.00003766013,0.00002276838,0.00005922088,0.00007789547,0.00004424826],"domain_scores_gemma":[0.9993396,0.0001167627,0.0002835449,0.00002485997,0.0001362561,0.00009895806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001632923,0.0001140098,0.9319934,0.00008462514,0.0001152653,0.0002892587,0.0006794306,0.0003410948,0.03807205,0.00001888266,0.0001174539,0.02654164],"study_design_scores_gemma":[0.000001973187,0.0001663309,0.9992298,0.000002029734,0.000005040464,0.00007799936,0.00005368287,0.0000544635,0.0003488977,0.000002351427,0.0000557305,0.000001592389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994969,0.0000787477,0.0001403756,0.000002835113,0.000001346605,0.000004633139,0.00006595525,0.000003803103,0.0002052779],"genre_scores_gemma":[0.9991834,0.00005823861,0.0001304324,0.000007331121,0.000004404329,0.000007504401,0.0002133907,0.000002031589,0.0003932229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003692065,"threshold_uncertainty_score":0.007341146,"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."}}