{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004939252,0.0004000137,0.0002148136,0.0008782896,0.0001373603,0.0006232374,0.0002356523,0.0002557159,0.006891035],"category_scores_gemma":[0.002766748,0.0001969518,0.0001013921,0.0006335555,0.0001426289,0.0002816756,0.0004838938,0.0002289498,0.001334414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004570235,"about_ca_system_score_gemma":0.0003137379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006934789,"about_ca_topic_score_gemma":0.007309781,"domain_scores_codex":[0.999592,0.00003954607,0.00003452198,0.0001262543,0.0001693191,0.00003832432],"domain_scores_gemma":[0.9980459,0.0003273721,0.0006302486,0.00006549509,0.0007096097,0.0002213898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009312385,0.0002599777,0.7824366,0.0002124523,0.0001409643,0.0001504253,0.0002487885,0.001134633,0.0139088,0.0001427802,0.004347247,0.1960862],"study_design_scores_gemma":[0.000009687917,0.0005271551,0.9932669,0.0000610727,0.00002711988,0.0003543624,0.00007429936,0.001656619,0.002404355,0.00007558926,0.001528465,0.00001437016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857695,0.00239319,0.002750629,0.0002077194,0.00003317525,0.00005725968,0.001095602,0.0001807082,0.007512329],"genre_scores_gemma":[0.9887809,0.000972589,0.002368866,0.00003749518,0.00002215459,0.00005824367,0.001219705,0.000035763,0.006504241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006934789,"threshold_uncertainty_score":0.02305281,"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."}}