{"id":"W4411929598","doi":"10.3384/ecp214005","title":"Individual Puck Possessions Part II","year":2025,"lang":"en","type":"article","venue":"Linköping electronic conference proceedings","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science","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":[0.001095793,0.0006087121,0.0004467721,0.002917907,0.0006756864,0.001625355,0.0006857586,0.0004533938,0.0144288],"category_scores_gemma":[0.008280584,0.0002700555,0.0004791945,0.002009395,0.0006480782,0.001337528,0.001742464,0.0005165962,0.00261882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006488418,"about_ca_system_score_gemma":0.0004454933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006024215,"about_ca_topic_score_gemma":0.007574377,"domain_scores_codex":[0.9980652,0.000222775,0.0002487141,0.0004027015,0.0007675544,0.0002931052],"domain_scores_gemma":[0.9926515,0.001909527,0.002287633,0.0006370092,0.001667929,0.0008463765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000703025,0.0004845826,0.756411,0.0007471774,0.0002742959,0.0003425767,0.002687609,0.009948059,0.005410206,0.001921992,0.00557561,0.2154938],"study_design_scores_gemma":[0.000008871038,0.0005753319,0.9814997,0.0001370269,0.00004526057,0.0005331027,0.001864086,0.004152494,0.001878398,0.001069481,0.008187022,0.00004916771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607017,0.0003426193,0.009531358,0.00009722021,0.00005093919,0.0002909834,0.006491536,0.0002420331,0.0222516],"genre_scores_gemma":[0.9794231,0.0002025782,0.004853692,0.00002304376,0.00002524773,0.0002521593,0.004208607,0.00007136042,0.01094025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0144288,"threshold_uncertainty_score":0.04826915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357874480227256,"score_gpt":0.2960136024940899,"score_spread":0.2724348576918173,"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."}}