{"id":"W4360596156","doi":"10.1007/978-3-031-07395-3_74","title":"ADAM10 as a Biological Marker in Traumatic Brain Injury","year":2023,"lang":"en","type":"book-chapter","venue":"Biomarkers in disease","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Concussion; Traumatic brain injury; Medicine; Disease; Rehabilitation; Intensive care medicine; Biomarker; Medical emergency; Psychiatry; Injury prevention; Poison control; Physical therapy; Pathology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00152356,0.0006922799,0.001117596,0.001692885,0.00004851151,0.00004668718,0.0004847873,0.0007914942,0.004105999],"category_scores_gemma":[0.002603291,0.0006140511,0.0004661742,0.0004374656,0.0005941279,0.00007469802,0.0003037342,0.001037767,0.001904941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781095,"about_ca_system_score_gemma":0.0009153205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000831111,"about_ca_topic_score_gemma":0.00009165049,"domain_scores_codex":[0.9955797,0.0002284758,0.00116347,0.001117408,0.001042138,0.0008687611],"domain_scores_gemma":[0.9965259,0.001123775,0.0001898921,0.001166626,0.00007327997,0.0009205031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.06807134,0.003461147,0.1240443,0.01234731,0.004343406,0.05810069,0.001702225,0.000002534287,0.0006045778,0.04931717,0.395847,0.2821583],"study_design_scores_gemma":[0.00834503,0.001141944,0.8436199,0.01224053,0.0003153462,0.00009100348,0.0004073686,0.000498639,0.000006793124,0.06618126,0.06506453,0.002087606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2124377,0.002956012,0.000008384072,0.01593002,0.001138733,0.009101787,0.001229586,0.0008581408,0.7563396],"genre_scores_gemma":[0.3364196,0.001206503,0.0006808334,0.00400206,0.0005794621,0.001141262,0.001561403,0.0007369472,0.6536719],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7195756,"threshold_uncertainty_score":0.9996311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124238931689203,"score_gpt":0.3699087307512952,"score_spread":0.2456697990620922,"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."}}