{"id":"W1999234014","doi":"10.2310/7070.2003.37260","title":"Role of Computed Tomographic Cisternography in the Management of Cerebrospinal Fluid Rhinorrhea","year":2003,"lang":"en","type":"article","venue":"The Journal of Otolaryngology","topic":"Head and Neck Surgical Oncology","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Medicine; rhinorrhea; Radiology; Magnetic resonance imaging; Computed tomographic; Cerebrospinal fluid; Cerebrospinal Fluid Rhinorrhea; Diagnostic accuracy; Computed tomography; Nuclear medicine; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001282262,0.0005280426,0.0004836157,0.001786419,0.0003957083,0.0007491905,0.0005333702,0.0006057197,0.0009175902],"category_scores_gemma":[0.01101032,0.0003132737,0.0003080272,0.001256659,0.000764977,0.000833114,0.0002894883,0.0006362051,0.0003845162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002969353,"about_ca_system_score_gemma":0.000694748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168285,"about_ca_topic_score_gemma":0.001726042,"domain_scores_codex":[0.9991159,0.0003344929,0.0001695826,0.00009009968,0.0002095662,0.00008023635],"domain_scores_gemma":[0.9948184,0.002739168,0.001313275,0.000282149,0.0005337597,0.0003132979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003367359,0.00006234379,0.8955351,0.0002297713,0.00006614151,0.01479069,0.000254939,0.0003206442,0.001264059,0.00009891514,0.0007215868,0.0863191],"study_design_scores_gemma":[0.00008234094,0.001028484,0.7373636,0.0006690511,0.000321847,0.2485884,0.00146382,0.001953072,0.003410483,0.0001944145,0.004847594,0.00007689166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370527,0.05513654,0.002127016,0.0009525658,0.0001628556,0.00007287353,0.0001468751,0.00009852439,0.004250074],"genre_scores_gemma":[0.989516,0.008672668,0.001224444,0.0001517541,0.00017939,0.00001697026,0.00009002412,0.000012692,0.0001360684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002168285,"threshold_uncertainty_score":0.00678134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133469969768895,"score_gpt":0.2691591227928365,"score_spread":0.255812125815947,"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."}}