{"id":"W7102530960","doi":"10.1016/j.jsampl.2025.100119","title":"Orchard Sports Injury and Illness Classification System (OSIICS) version 16: Updated female athlete codes and Italian and Spanish translations","year":2025,"lang":"en","type":"article","venue":"JSAMS Plus","topic":"Sports injuries and prevention","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Diagnosis code; Coding (social sciences); Medical diagnosis; Sports medicine; Plain language; Code (set theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002393813,0.0001241918,0.0002463599,0.0001137113,0.0002068907,0.00004066413,0.00002583292,0.0001274013,0.00003517536],"category_scores_gemma":[0.00001018645,0.0001151949,0.00003252478,0.0001645222,0.00009396085,0.0001217888,0.00002601525,0.0001020812,0.000001997241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007067093,"about_ca_system_score_gemma":0.00005210591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007574992,"about_ca_topic_score_gemma":0.00002984941,"domain_scores_codex":[0.9991736,0.00002744456,0.0002480487,0.0002787195,0.0001432977,0.0001288997],"domain_scores_gemma":[0.9995661,0.0000227937,0.00007909365,0.0001790017,0.00006337603,0.00008960521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004366237,0.0003069531,0.593683,0.00478267,0.000593208,0.0001230274,0.007177076,0.000008138057,0.02519921,0.0410349,0.02306169,0.2996639],"study_design_scores_gemma":[0.003397635,0.0002417073,0.861143,0.001226965,0.000799015,0.00009498303,0.007656164,0.002293565,0.001844762,0.0004422848,0.1204635,0.000396397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925537,0.0009379154,0.0006212796,0.0008867377,0.0003234371,0.0005275434,0.00008209259,0.00008545283,0.003981873],"genre_scores_gemma":[0.9972149,0.0003674502,0.0001889383,0.0001006963,0.00006085351,0.00001679928,0.0003475842,0.00001163039,0.001691149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2992675,"threshold_uncertainty_score":0.4697514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140857234973677,"score_gpt":0.2732404065643732,"score_spread":0.2618318342146364,"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."}}