{"id":"W4391384681","doi":"10.1136/bjsports-2023-concussion.211","title":"2.20 Statistical modelling of blood biomarkers of sport-related concussion: can we improve estimate precision by using all sample replicates instead of means and >20%CV data exclusion?","year":2024,"lang":"en","type":"article","venue":"","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia; University of Calgary","funders":"","keywords":"Biomarker; Replicate; Statistics; Regression analysis; Internal medicine; Medicine; Cohort; Mathematics; Chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2148689,0.002122804,0.003106987,0.001879912,0.001213064,0.004710661,0.005388039,0.003352904,0.002953802],"category_scores_gemma":[0.3589501,0.002033767,0.006498276,0.002600099,0.003657616,0.002309639,0.003234464,0.003687996,0.001141761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002542526,"about_ca_system_score_gemma":0.004769404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01462419,"about_ca_topic_score_gemma":0.01479235,"domain_scores_codex":[0.8106527,0.1548928,0.008402294,0.01436145,0.0103237,0.001367048],"domain_scores_gemma":[0.6602191,0.2460158,0.02403058,0.05041391,0.01851605,0.0008045085],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004781442,0.0008197259,0.3050555,0.005115266,0.03206728,0.0007757124,0.006729542,0.1818412,0.01128379,0.03741677,0.03013304,0.3839808],"study_design_scores_gemma":[0.0007389475,0.002805921,0.1750042,0.001628629,0.003591761,0.000756135,0.001008055,0.7007136,0.01010642,0.06071352,0.0423901,0.0005427673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04979078,0.001184613,0.9394661,0.001328367,0.0005614295,0.001336668,0.001433864,0.003217302,0.001680938],"genre_scores_gemma":[0.4002303,0.0004690913,0.5875361,0.001065742,0.0002004378,0.004488424,0.002369471,0.001140739,0.002499787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7851311,"threshold_uncertainty_score":0.9682065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1208888152320862,"score_gpt":0.3862980961966407,"score_spread":0.2654092809645546,"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."}}