{"id":"W4306398697","doi":"10.1515/jqas-2022-0003","title":"Individual role classification for players defending corners in football (soccer)","year":2022,"lang":"en","type":"article","venue":"Journal of Quantitative Analysis in Sports","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Offensive; Baseline (sea); Football; Process (computing); Artificial intelligence; Counterattack; Task (project management); Machine learning; Convolutional neural network; Operations research; Mathematics; Engineering","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":[0.003124636,0.0001186553,0.000650521,0.002468169,0.00009844529,0.00004011054,0.0002571605,0.00004413381,0.0004099554],"category_scores_gemma":[0.00009196029,0.0001345098,0.0003611476,0.001757121,0.00003168379,0.0002702319,0.00003731155,0.0002904564,0.000002076611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028546,"about_ca_system_score_gemma":0.00005247062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001231651,"about_ca_topic_score_gemma":0.0002263655,"domain_scores_codex":[0.9979606,0.0000217865,0.001393812,0.0002412454,0.0001542138,0.0002282931],"domain_scores_gemma":[0.9978725,0.0001071733,0.001751502,0.0001451511,0.00007027286,0.00005340841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000874918,0.0001280571,0.8608509,0.000006197937,0.0002735859,0.00002175307,0.001709577,0.09122726,0.000006810408,0.04513806,0.0001777524,0.0003725213],"study_design_scores_gemma":[0.0006647076,0.0001802604,0.86119,0.00001078377,0.0001374489,0.000004701777,0.006226101,0.1180116,0.00000398923,0.007049871,0.006334962,0.0001855521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927222,0.001322903,0.004470221,0.0001603721,0.0002129971,0.000114567,0.00009280406,0.000002496442,0.0009014394],"genre_scores_gemma":[0.9982998,0.0002521508,0.001124425,0.0001108964,0.00003163777,0.00001618263,0.00004395315,0.00001312592,0.0001077987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03808819,"threshold_uncertainty_score":0.5485151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09552387707796271,"score_gpt":0.3042342096131248,"score_spread":0.2087103325351621,"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."}}