{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005216046,0.0001440213,0.0001940096,0.0001631967,0.0003959108,0.0003274253,0.0003614846,0.00004094758,0.00002189733],"category_scores_gemma":[0.0000274199,0.000149067,0.00002843778,0.0001422882,0.00004245925,0.0006080242,0.0004189425,0.0003125725,6.704179e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005355245,"about_ca_system_score_gemma":0.0001466962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008454672,"about_ca_topic_score_gemma":0.00000861907,"domain_scores_codex":[0.9986948,0.00002177247,0.0001926638,0.0004552075,0.0002596096,0.0003759291],"domain_scores_gemma":[0.9995491,0.00003275997,0.0001123398,0.0001077976,0.0001182017,0.00007983348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004128897,0.00001692963,0.0003423049,0.00002991972,0.00002452217,0.000001822345,0.004910813,0.000002522775,0.0006208243,0.7918303,0.00004715434,0.2021688],"study_design_scores_gemma":[0.001507773,0.001615476,0.01091326,0.000140605,0.0001351408,0.0004399639,0.01197682,0.568359,0.001451007,0.2589656,0.1427383,0.001757114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7954156,0.04400877,0.07465424,0.06244542,0.0002957312,0.0007570843,0.000004612151,0.000980885,0.02143759],"genre_scores_gemma":[0.9921079,0.006807478,0.0002965558,0.0003409023,0.00003247235,0.00004440867,0.000002463086,0.000009100207,0.0003587462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5683565,"threshold_uncertainty_score":0.6078776,"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."}}