{"id":"W4402138891","doi":"10.5114/biolsport.2025.142638","title":"‘Setting the Benchmark’ Part 4: Contextualising the MatchDemands of Teams at the FIFA Women’s World Cup Australiaand New Zealand 2023","year":2024,"lang":"en","type":"article","venue":"Biology of Sport","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Operations research; Psychology; Engineering; Geography; Geodesy","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":[0.001735258,0.0003262653,0.0003155034,0.001143395,0.001128147,0.00220873,0.0005442742,0.000435391,0.002058239],"category_scores_gemma":[0.00455887,0.0002108836,0.0002423742,0.001153057,0.001052566,0.0007664655,0.001641485,0.0005516417,0.0003429845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055705,"about_ca_system_score_gemma":0.001221445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2028583,"about_ca_topic_score_gemma":0.3390887,"domain_scores_codex":[0.9988348,0.0002829001,0.00006090185,0.0002140969,0.0003591539,0.0002482232],"domain_scores_gemma":[0.9976834,0.0004270767,0.0007212187,0.0001171499,0.0005714736,0.0004797002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002653407,0.0001554889,0.9430254,0.0001095029,0.0001189251,0.0002438942,0.02277216,0.0008233763,0.002919279,0.0005045614,0.002533103,0.02652901],"study_design_scores_gemma":[0.000001136938,0.00004697649,0.9926572,0.00001578635,0.000003311104,0.00001663424,0.005925499,0.0001620008,0.0001087875,0.00005165074,0.001002399,0.000008643716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964303,0.00005413566,0.0003077627,0.00009611103,0.00001143227,0.0000219875,0.0002145342,0.000005312801,0.002858445],"genre_scores_gemma":[0.9985647,0.00003602032,0.0002987179,0.00003693082,0.000005714432,0.00003086004,0.0002548528,0.000005710237,0.0007666529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028583,"threshold_uncertainty_score":0.4033551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522618008638622,"score_gpt":0.2478414894759277,"score_spread":0.2226153093895415,"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."}}