{"id":"W7053506720","doi":"","title":"VISUAL TRACKING SPEED AND SOCCER PERFORMANCE METRICS","year":2023,"lang":"en","type":"article","venue":"TopSCHOLAR (Western Kentucky University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Correlation; Eye tracking; Tracking (education); Correlation coefficient; Rank correlation; Pearson product-moment correlation coefficient; Session (web analytics)","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":[0.0001003458,0.000105057,0.0001012784,0.0003357362,0.0001430264,0.00006909995,0.0001450734,0.00006485313,0.00001731191],"category_scores_gemma":[0.000007289795,0.0001230103,0.00002993144,0.001054107,0.00002509719,0.0004957452,0.00006557754,0.000176626,0.0001961839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005897052,"about_ca_system_score_gemma":0.000008926009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004671399,"about_ca_topic_score_gemma":0.000005462244,"domain_scores_codex":[0.9994233,0.00001555411,0.00008251875,0.0001607859,0.0001155944,0.000202249],"domain_scores_gemma":[0.9996873,0.00003344599,0.00001758729,0.000139218,0.00002965354,0.0000928155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009672332,0.0002066005,0.7827966,0.0007890518,0.0005321457,0.0005220165,0.003508375,0.01255779,0.057129,0.003880845,0.005558703,0.1324222],"study_design_scores_gemma":[0.002239286,0.0001278325,0.4341401,0.0001138746,0.0002042486,0.00003256686,0.0008742178,0.06592374,0.01565249,0.00009725097,0.4794616,0.001132773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935903,0.00004269472,0.0006291555,0.00005310836,0.0000820956,0.0001019815,0.00000761445,0.0005482595,0.004944782],"genre_scores_gemma":[0.9922197,0.0004000057,0.00008339295,0.00002496141,0.00004449758,3.96567e-7,0.00001725806,0.00002130352,0.007188486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4739029,"threshold_uncertainty_score":0.5016213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432680826271579,"score_gpt":0.2214778617172258,"score_spread":0.19715105345451,"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."}}