{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002978394,0.0002062633,0.0003200106,0.0002541657,0.0002187374,0.0001056501,0.0001884124,0.000156705,0.0002342725],"category_scores_gemma":[0.00006636103,0.0001855101,0.00008756425,0.0005504096,0.00007910105,0.0002276779,0.00007961642,0.0007254518,0.00003427665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105092,"about_ca_system_score_gemma":0.001111406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001022115,"about_ca_topic_score_gemma":0.000005341328,"domain_scores_codex":[0.9982879,0.000001596761,0.0003239052,0.0003941052,0.0002620895,0.0007304363],"domain_scores_gemma":[0.9993858,0.00001547785,0.00009425562,0.0001410921,0.0002542169,0.0001091041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002832942,0.0003183635,0.6514387,0.0005757954,0.0005099705,0.00001883495,0.003653043,0.000001258368,0.006129637,0.2381137,0.008412064,0.0905453],"study_design_scores_gemma":[0.007465685,0.001621978,0.5196065,0.006523965,0.00134693,0.0003748205,0.006633984,0.00473118,0.02450859,0.02210124,0.4036375,0.001447686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385028,0.000419615,0.0001782935,0.003613687,0.0001931102,0.0003499776,0.000001388957,0.0003186846,0.05642238],"genre_scores_gemma":[0.9930127,0.0002455314,0.0002366273,0.001515481,0.0001945233,0.00006778534,0.00002884786,0.00001753291,0.004681003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3952254,"threshold_uncertainty_score":0.7564883,"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."}}