{"id":"W3164854769","doi":"10.1109/cvprw53098.2021.00514","title":"Puck localization and multi-task event recognition in broadcast hockey videos","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Compute Canada","keywords":"Computer science; Event (particle physics); Context (archaeology); Artificial intelligence; Task (project management); Computer vision; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007555284,0.001565923,0.0008308403,0.001212472,0.0004526314,0.0007261726,0.001321549,0.0009731302,0.001460665],"category_scores_gemma":[0.002626915,0.0003119891,0.0005383567,0.000687396,0.0004108296,0.00122309,0.001042286,0.001130516,0.0007947296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006938418,"about_ca_system_score_gemma":0.0004411335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114039,"about_ca_topic_score_gemma":0.01007309,"domain_scores_codex":[0.9993628,0.00009344374,0.00002378113,0.0002982095,0.0000843628,0.0001374657],"domain_scores_gemma":[0.9993134,0.0002981009,0.00008661846,0.00008571651,0.0001401716,0.00007602025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00161918,0.0009783965,0.01598269,0.0003869196,0.0002145287,0.0007413466,0.0003855861,0.2353836,0.05055882,0.001587958,0.01091937,0.6812416],"study_design_scores_gemma":[0.00001506818,0.0001843765,0.005415298,0.00001430719,0.00003165813,0.0000999793,0.0001297676,0.980087,0.01181559,0.001341078,0.0008530073,0.00001296894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4812491,0.001309785,0.5054499,0.0004126233,0.0003762338,0.000240227,0.001210524,0.005044309,0.00470732],"genre_scores_gemma":[0.944586,0.0002557304,0.04922738,0.0001178635,0.0001231668,0.00009017084,0.002006036,0.00009904198,0.003494498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01114039,"threshold_uncertainty_score":0.02215105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781365855667104,"score_gpt":0.259849393530499,"score_spread":0.2320357349738279,"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."}}