{"id":"W4409147784","doi":"10.1007/s40279-025-02212-7","title":"Response to Comment on: “A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey”","year":2025,"lang":"en","type":"letter","venue":"Sports Medicine","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre; Toronto Rehabilitation Institute; York University; University of Toronto","funders":"","keywords":"Concussion; Sports medicine; Ice hockey; Physical medicine and rehabilitation; Physical therapy; Medicine; Injury prevention; Psychology; Poison control; Applied psychology; Medical emergency","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007771468,0.0003363268,0.0007008,0.001252745,0.0006647548,0.00003754064,0.0003111626,0.0003799366,0.0004220695],"category_scores_gemma":[0.003287924,0.000262906,0.0001102953,0.001258423,0.0001406632,0.00007953143,0.0001309605,0.001810573,0.00001311205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004700649,"about_ca_system_score_gemma":0.0003690186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006225976,"about_ca_topic_score_gemma":0.0001879212,"domain_scores_codex":[0.9941928,0.00209833,0.0007415689,0.0007049402,0.001779816,0.0004824938],"domain_scores_gemma":[0.9967372,0.00221044,0.0004411625,0.0002361089,0.0001520891,0.0002230247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005463362,0.0001003277,0.01089215,0.00007558606,0.00004554012,0.0001638593,0.01820696,0.03813871,0.00001520228,0.0002836853,0.8858401,0.04569155],"study_design_scores_gemma":[0.000814056,0.0003130109,0.01058948,0.003188612,0.0001115612,0.000001028862,0.003578892,0.01624963,0.000008776864,0.001052055,0.9636193,0.0004735929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01674704,0.00006754669,0.0243657,0.94519,0.001162929,0.001297938,0.00001606516,0.0001180358,0.01103477],"genre_scores_gemma":[0.1826081,0.0000344848,0.01654474,0.7350491,0.003238962,0.0002578118,0.001329231,0.00006697691,0.06087059],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2101408,"threshold_uncertainty_score":0.9999823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263118062043534,"score_gpt":0.3561951011037354,"score_spread":0.329883294899382,"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."}}