{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003134633,0.0002228295,0.000342493,0.0002660212,0.0003995782,0.00008794122,0.0002049249,0.0001694357,0.0002578192],"category_scores_gemma":[0.0000698414,0.000200786,0.00009296925,0.0005764198,0.0000844234,0.0002455201,0.0001337313,0.000777097,0.0000230133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117487,"about_ca_system_score_gemma":0.001177744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001110257,"about_ca_topic_score_gemma":0.000006129116,"domain_scores_codex":[0.9981741,0.000001596785,0.000346424,0.0004203714,0.000278971,0.0007785486],"domain_scores_gemma":[0.9993495,0.00001360612,0.0001036115,0.0001501018,0.0002674613,0.0001156817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003673663,0.0005201277,0.5153446,0.0006497435,0.0006656793,0.00002075115,0.007184806,0.00000169167,0.007560338,0.3519624,0.01236949,0.1033529],"study_design_scores_gemma":[0.008415029,0.002779138,0.3661556,0.007266666,0.001497627,0.0003913413,0.006786878,0.004875796,0.02772718,0.02390102,0.54857,0.001633765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948712,0.0003969729,0.00008818997,0.004173471,0.0001866798,0.0003359298,0.000001443677,0.0003046408,0.04580066],"genre_scores_gemma":[0.9908135,0.0002475845,0.0002302643,0.001553677,0.0002090049,0.00007296153,0.00003202972,0.00001866884,0.006822329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5362005,"threshold_uncertainty_score":0.8187815,"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."}}