{"id":"W4411929628","doi":"10.3384/ecp214003","title":"Individual Puck Possessions Part I","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":[0.0008441287,0.0003867875,0.0004676696,0.003569219,0.0004471645,0.001472894,0.0006517566,0.0003426212,0.00939409],"category_scores_gemma":[0.004310775,0.0002481468,0.0004513274,0.003459208,0.0003586737,0.0009798434,0.001549966,0.0004140798,0.003047665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946226,"about_ca_system_score_gemma":0.0002988441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252739,"about_ca_topic_score_gemma":0.02085377,"domain_scores_codex":[0.998975,0.0001075399,0.0001183272,0.0002868504,0.0003533866,0.0001589303],"domain_scores_gemma":[0.9956975,0.0009395144,0.001768073,0.0005170006,0.0007380735,0.0003398194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001288542,0.00007312334,0.9630601,0.0001279566,0.0001045307,0.00006601205,0.0004810086,0.002308526,0.0006941356,0.0004726331,0.00361594,0.02886721],"study_design_scores_gemma":[0.000003383335,0.00009612096,0.990941,0.00003797438,0.00001759255,0.0001439759,0.000558351,0.00268301,0.0003427732,0.0002701287,0.004888096,0.00001758504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9286412,0.0003154517,0.004882551,0.00009489602,0.000038961,0.0001366015,0.04637099,0.0002364674,0.01928288],"genre_scores_gemma":[0.9536862,0.0001748899,0.003460963,0.00002527101,0.00002866906,0.0001876894,0.03502364,0.00005073584,0.007361858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01252739,"threshold_uncertainty_score":0.03142631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427406577438969,"score_gpt":0.2993423008115842,"score_spread":0.2750682350371945,"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."}}