{"id":"W3164043015","doi":"10.1590/s1808-185120212002242209","title":"ALGORITHMS FOR CLINICAL ASSESSMENT OF THE CERVICAL SPINE IN PATIENTS WITH SEVERE TRAUMA: A MIXED-METHOD ANALYZIS","year":2021,"lang":"en","type":"article","venue":"Coluna/Columna","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cervical spine; Emergency department; Predictive value; Nexus (standard); Emergency medicine; Surgery; Internal medicine; Nursing; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000528269,0.0001384863,0.0005168461,0.00006054181,0.00005565297,0.00001651763,0.0001353169,0.0001777019,0.0001517673],"category_scores_gemma":[0.0002609966,0.00009721385,0.0002314703,0.000474786,0.00006910043,0.00004577284,0.00007224503,0.0003231013,6.116183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074335,"about_ca_system_score_gemma":0.0002909624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005049523,"about_ca_topic_score_gemma":0.0002231049,"domain_scores_codex":[0.9983436,0.0001413588,0.0005860392,0.0003434967,0.0003760624,0.000209435],"domain_scores_gemma":[0.9986394,0.0001419097,0.0002198606,0.00044012,0.0004582312,0.0001004442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002803347,0.001322894,0.9305928,0.0001564246,0.0001146676,0.00001016126,0.00003835284,0.000009683894,0.00002927004,0.0002910838,0.003170785,0.06398358],"study_design_scores_gemma":[0.004106404,0.001257059,0.9840421,0.0001885269,0.0001451556,0.00000810434,0.0000596163,0.001547006,0.0004953888,0.0001870381,0.007841624,0.0001219858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316074,0.000201128,0.05940128,0.002989804,0.0004461457,0.002898698,0.0001097575,0.00007499223,0.002270752],"genre_scores_gemma":[0.8605887,0.00002552868,0.1372154,0.001157077,0.0001351653,0.0001354091,0.00008450144,0.00002871484,0.0006294767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07781411,"threshold_uncertainty_score":0.3964266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141937468529422,"score_gpt":0.4067558413230664,"score_spread":0.3753364666377721,"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."}}