{"id":"W4294739740","doi":"10.3384/ecp191002","title":"Puck and Player Tracking: Challenges and Opportunities","year":2022,"lang":"en","type":"article","venue":"Linköping electronic conference proceedings","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Tracking (education)","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":[0.04645061,0.002039712,0.002950023,0.005980911,0.003128102,0.01187321,0.005970288,0.005540811,0.003287085],"category_scores_gemma":[0.09992196,0.001255295,0.0007985146,0.009243775,0.005126333,0.03498612,0.00730921,0.006566178,0.003106544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003240131,"about_ca_system_score_gemma":0.003426934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009844785,"about_ca_topic_score_gemma":0.009182342,"domain_scores_codex":[0.95395,0.02348383,0.002746008,0.005869693,0.0127103,0.001240196],"domain_scores_gemma":[0.8502307,0.0883455,0.005871178,0.01148232,0.03950689,0.004563345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003412928,0.0002507233,0.02370699,0.002023641,0.0001609331,0.0002024595,0.004315855,0.007025429,0.002967632,0.09749909,0.07493777,0.7865682],"study_design_scores_gemma":[0.00006698441,0.0006998089,0.02206698,0.002177907,0.0001541754,0.001460143,0.02643742,0.1304163,0.009289866,0.4551091,0.3515068,0.0006145147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03987401,0.05893666,0.705255,0.1526054,0.004471328,0.0006983948,0.00336479,0.003368726,0.03142575],"genre_scores_gemma":[0.3546842,0.02700043,0.5846957,0.00627823,0.005011278,0.001037231,0.005336934,0.001818933,0.01413708],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04645061,"threshold_uncertainty_score":0.2456573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06108070508056294,"score_gpt":0.2357427206794592,"score_spread":0.1746620155988963,"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."}}