{"id":"W2995012970","doi":"10.1519/jsc.0000000000003414","title":"Tracking In-Match Movement Demands Using Local Positioning System in World-Class Men's Ice Hockey","year":2019,"lang":"en","type":"article","venue":"The Journal of Strength and Conditioning Research","topic":"Sports Performance and Training","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sprint; Ice hockey; Speed skating; Aeronautics; Simulation; Computer science; Meteorology; Geography; Physical medicine and rehabilitation; Engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002904824,0.0001004312,0.0002889129,0.0007216944,0.000195613,0.00006036137,0.00009984212,0.00005021621,0.00006676177],"category_scores_gemma":[0.00002684731,0.00007276093,0.00004035634,0.0005736837,0.000102049,0.0002927367,0.00003949147,0.0009101117,0.000004958502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972131,"about_ca_system_score_gemma":0.000192007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001926417,"about_ca_topic_score_gemma":0.00005798614,"domain_scores_codex":[0.9982686,0.00008514833,0.0005082435,0.0001157879,0.0006479872,0.0003742215],"domain_scores_gemma":[0.9991428,0.0002539694,0.0001629856,0.0001228716,0.000214412,0.0001029342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001258628,0.0002019655,0.9634044,0.0005628912,0.0001374202,0.0006200969,0.005965376,0.008111112,0.006401947,0.001489403,0.00009507388,0.01175174],"study_design_scores_gemma":[0.008314591,0.001064165,0.7882091,0.0125649,0.0001202415,0.001296069,0.0966234,0.08316217,0.007919039,0.0003626204,0.00009828806,0.0002654323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995518,0.0004746929,0.00006545069,0.0002468652,0.00006511007,0.0001896582,0.000001032122,0.000007989242,0.003431225],"genre_scores_gemma":[0.9994248,0.00008369399,0.0001458303,0.00006744603,0.0001375196,0.00000282222,0.00000437456,0.00001311164,0.0001203906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751953,"threshold_uncertainty_score":0.3954033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258331526821338,"score_gpt":0.3454148550352329,"score_spread":0.3128315397670196,"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."}}