{"id":"W4306873813","doi":"10.1177/01455613221134421","title":"Development and Validation of a Clinical Prediction Model to Diagnose Sinonasal Inverted Papilloma Based on Computed Tomography Features and Clinical Characteristics","year":2022,"lang":"en","type":"article","venue":"Ear Nose & Throat Journal","topic":"Sinusitis and nasal conditions","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China","keywords":"Medicine; Nomogram; Logistic regression; Radiology; Inverted papilloma; Sinus (botany); Hyperostosis; Surgery; Papilloma; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005889106,0.001747678,0.001393601,0.003907749,0.0007194459,0.001909759,0.001074604,0.001115069,0.001352996],"category_scores_gemma":[0.01242131,0.0003707577,0.001428567,0.0009476254,0.0003962138,0.0008898612,0.0008489831,0.001248682,0.0008527568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008183023,"about_ca_system_score_gemma":0.001882651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0067533,"about_ca_topic_score_gemma":0.004220475,"domain_scores_codex":[0.9984049,0.0006486705,0.0001698467,0.0003437283,0.000289277,0.000143545],"domain_scores_gemma":[0.9933897,0.003889558,0.0005269971,0.0002687477,0.001578639,0.0003462971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00115306,0.0009024876,0.7442018,0.0001695082,0.0008126398,0.0005049314,0.000135988,0.0929739,0.001902773,0.0004013256,0.005684684,0.1511569],"study_design_scores_gemma":[0.00009599193,0.0004090893,0.05589958,0.00008942203,0.0003296032,0.0003635666,0.000148431,0.9396049,0.001066548,0.0005358955,0.001413149,0.00004391877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526326,0.001709717,0.1336245,0.001308264,0.0003876544,0.000826531,0.00332128,0.002113329,0.004076116],"genre_scores_gemma":[0.9764752,0.0002457852,0.0198682,0.0001018989,0.000071359,0.0003493121,0.002326875,0.00003536066,0.0005261838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0067533,"threshold_uncertainty_score":0.03114492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05877033787647501,"score_gpt":0.3493687744993901,"score_spread":0.2905984366229151,"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."}}