{"id":"W3035376002","doi":"10.1109/cvprw50498.2020.00453","title":"A System for Acquisition and Modelling of Ice-Hockey Stick Shape Deformation from Player Shot Videos","year":2020,"lang":"en","type":"article","venue":"","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Shot (pellet); Ice hockey; Point cloud; Deformation (meteorology); Computer science; Computer vision; Artificial intelligence; Point (geometry); Computer graphics (images); Geometry; Geology; Mathematics; Materials science","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":[0.00004025796,0.00007065332,0.0001124216,0.00002655063,0.00001776368,0.0000171822,0.00003464008,0.00005531079,0.00001746644],"category_scores_gemma":[0.000001931581,0.0000635394,0.00002585326,0.00005064388,0.00000254882,0.00009945555,0.00001088042,0.00002659164,0.000002178938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002280449,"about_ca_system_score_gemma":0.000003600405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002276324,"about_ca_topic_score_gemma":0.000003913899,"domain_scores_codex":[0.9995878,0.000001712409,0.0001835022,0.00008206662,0.00006717556,0.00007775572],"domain_scores_gemma":[0.9998254,0.00002322969,0.00002832903,0.00004994649,0.00003076054,0.00004229367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009259643,0.00001012262,0.00006790056,0.0009778097,0.00007649932,0.000001690373,0.001020899,0.9469789,0.04196036,0.005853234,0.00006589305,0.002894089],"study_design_scores_gemma":[0.000211825,0.00002298701,0.0000182946,0.00003778722,0.00002301218,6.765781e-7,0.0003219871,0.9942558,0.00486126,0.000144708,0.00002399923,0.00007766001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4497905,0.00004444186,0.5497996,0.00001597158,0.00005062874,0.0001109708,0.00005400882,0.00007529902,0.00005861103],"genre_scores_gemma":[0.9915488,0.00001671597,0.00824558,0.00003118764,0.00004986944,0.000008328387,0.0000849351,0.0000132864,0.000001332442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5417582,"threshold_uncertainty_score":0.2591062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602149012142727,"score_gpt":0.1948938208936217,"score_spread":0.1688723307721945,"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."}}