{"id":"W2796869759","doi":"10.3171/2017.12.jns172782","title":"Simplifying the use of prognostic information in traumatic brain injury. Part 2: Graphical presentation of probabilities","year":2018,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; Institute of Population and Public Health","funders":"Universiteit Antwerpen; London School of Hygiene and Tropical Medicine","keywords":"Medicine; Presentation (obstetrics); Traumatic brain injury; Medical emergency; Medical physics; Surgery; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0129863,0.001893292,0.001304757,0.003917368,0.0004970351,0.004476499,0.001807567,0.001348051,0.007604067],"category_scores_gemma":[0.08244539,0.001603893,0.002522085,0.002509977,0.00179312,0.005243085,0.003281448,0.00197849,0.001467026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150184,"about_ca_system_score_gemma":0.001220587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003185052,"about_ca_topic_score_gemma":0.002880529,"domain_scores_codex":[0.9914363,0.006503603,0.0005727877,0.0005752805,0.0007669232,0.0001451808],"domain_scores_gemma":[0.9408253,0.05139281,0.002669222,0.00341936,0.001402715,0.0002906254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001217906,0.000205461,0.01446516,0.001140284,0.0006379976,0.0009450738,0.001853118,0.3336732,0.0053012,0.1414946,0.01689418,0.4821719],"study_design_scores_gemma":[0.000171981,0.0002684383,0.003926372,0.0003032239,0.0002116712,0.0006267802,0.0001761558,0.7754329,0.002490222,0.204215,0.01195562,0.0002216413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008935833,0.0005003904,0.9852689,0.0008404996,0.00007511215,0.0001238411,0.0007327949,0.002556612,0.0009659714],"genre_scores_gemma":[0.279723,0.001373919,0.7141143,0.0003723012,0.0003071594,0.0005259892,0.001266339,0.0007184468,0.00159851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0129863,"threshold_uncertainty_score":0.06867898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08732613363624663,"score_gpt":0.3075908229069255,"score_spread":0.2202646892706788,"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."}}