{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03177435,0.0008275451,0.00116233,0.004909706,0.000534781,0.001594927,0.001107817,0.0007385102,0.003200697],"category_scores_gemma":[0.08621639,0.0004536564,0.003746154,0.002393578,0.0005118608,0.001041385,0.001127686,0.0006810543,0.0003612295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548456,"about_ca_system_score_gemma":0.001635834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003002878,"about_ca_topic_score_gemma":0.003741384,"domain_scores_codex":[0.962306,0.02477053,0.004547295,0.001467,0.006560382,0.0003487456],"domain_scores_gemma":[0.9191257,0.05695911,0.009723132,0.004022871,0.009716263,0.0004530056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.004567118,0.0006521934,0.9314311,0.001230387,0.004651284,0.00006475145,0.001031247,0.001339148,0.0005333855,0.0005384267,0.0006956248,0.05326526],"study_design_scores_gemma":[0.001028763,0.009266216,0.9178733,0.001191795,0.004538029,0.001080501,0.004310809,0.05295752,0.002200493,0.001336913,0.004036971,0.0001786882],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492559,0.004233438,0.03721828,0.0003083795,0.0001451742,0.004298336,0.00219145,0.000135974,0.002213129],"genre_scores_gemma":[0.9647719,0.0004037687,0.03025071,0.00007413701,0.00003251346,0.002977415,0.0009150715,0.00002887662,0.0005454734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03177435,"threshold_uncertainty_score":0.1680409,"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."}}