{"id":"W3156768548","doi":"10.3389/fspor.2021.634696","title":"Physical Demands of Women's Soccer Matches: A Perspective Across the Developmental Spectrum","year":2021,"lang":"en","type":"article","venue":"Frontiers in Sports and Active Living","topic":"Sports Performance and Training","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Scope (computer science); Order (exchange); Psychology; Applied psychology; Computer science; Business; Artificial intelligence","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":[0.0006537047,0.0003241558,0.0003281072,0.001999847,0.00120715,0.001964211,0.0005077597,0.000720438,0.001726344],"category_scores_gemma":[0.001427681,0.0001737539,0.0002889319,0.0009923466,0.0009096967,0.001140123,0.001620696,0.0007947489,0.000231678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543918,"about_ca_system_score_gemma":0.001096453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01788805,"about_ca_topic_score_gemma":0.03198687,"domain_scores_codex":[0.9994854,0.0001297841,0.00003756769,0.00008822411,0.0001180864,0.000141028],"domain_scores_gemma":[0.999398,0.0001548128,0.0001479495,0.00001207418,0.0001205421,0.0001665564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001992382,0.000279433,0.7762789,0.0006608889,0.00008462762,0.003810779,0.05512623,0.0003413503,0.003477701,0.006204204,0.003594376,0.1499424],"study_design_scores_gemma":[0.000005576237,0.0003711668,0.8170999,0.0007301702,0.00004343029,0.004513004,0.1530941,0.0001906928,0.0007233567,0.001984708,0.0212162,0.00002776303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623886,0.0156162,0.0006807828,0.006116076,0.0001299474,0.00001881108,0.0002729079,0.000009896155,0.01476682],"genre_scores_gemma":[0.9835972,0.01318924,0.0004977226,0.0007209128,0.00008460638,0.0000271281,0.0001233512,0.000006455741,0.001753317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01788805,"threshold_uncertainty_score":0.03556782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006949402200403278,"score_gpt":0.2566995283691236,"score_spread":0.2497501261687204,"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."}}