{"id":"W7124249354","doi":"10.65109/horc5194","title":"Presenting Multiagent Challenges in Team Sports Analytics","year":2023,"lang":"","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Analytics; Key (lock); Big data; Data analysis","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":[0.007468098,0.0007935211,0.001031662,0.001219658,0.002704982,0.01055895,0.002015632,0.003964467,0.00336347],"category_scores_gemma":[0.01664925,0.0006191074,0.00106043,0.001536212,0.004821421,0.01068244,0.008066259,0.00505383,0.0007829402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153234,"about_ca_system_score_gemma":0.001642407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002402734,"about_ca_topic_score_gemma":0.002119364,"domain_scores_codex":[0.993506,0.003746433,0.0003740528,0.0009737537,0.001068365,0.0003314068],"domain_scores_gemma":[0.9840333,0.01157683,0.000896177,0.001038047,0.001300869,0.001154735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009337903,0.00009958383,0.003514295,0.0004294389,0.0001249893,0.0009134431,0.004547666,0.03101552,0.001067925,0.8905908,0.01377386,0.05382912],"study_design_scores_gemma":[0.00002051329,0.00003136139,0.0005952314,0.0001392296,0.00002040261,0.0002642696,0.003101956,0.08444981,0.000453247,0.8576849,0.05320042,0.00003860207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03547058,0.009397259,0.8327449,0.08413111,0.001795908,0.0001829605,0.0003327477,0.0003202956,0.03562433],"genre_scores_gemma":[0.684994,0.007044122,0.2893851,0.005280985,0.003236611,0.000529159,0.0004954207,0.0002215696,0.008813065],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01055895,"threshold_uncertainty_score":0.03949559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1713746874309061,"score_gpt":0.3487974385028897,"score_spread":0.1774227510719836,"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."}}