{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034489,0.0001342781,0.0004042287,0.0002500159,0.0003246993,0.00003489428,0.0000606361,0.00009213403,0.00008166271],"category_scores_gemma":[0.0002727674,0.000120279,0.0001251387,0.000222219,0.00009192264,0.00006516247,0.00007806606,0.0006613412,0.000001467961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004091864,"about_ca_system_score_gemma":0.0002612811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003977315,"about_ca_topic_score_gemma":0.000003113165,"domain_scores_codex":[0.9980867,0.0002416849,0.0008157912,0.0002455196,0.0004544673,0.0001558635],"domain_scores_gemma":[0.9988309,0.000277196,0.0002675159,0.0001369597,0.0001600228,0.0003274751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001692658,0.001532136,0.9539614,0.00003141576,0.000230444,0.0001909327,0.0006357331,0.0002945581,0.0006670374,0.00007832253,0.008655389,0.03203],"study_design_scores_gemma":[0.002825279,0.001736804,0.9756986,0.0001361128,0.0001264226,0.0002433538,0.00008368344,0.0180745,0.0002295206,0.00002564891,0.0007088521,0.0001111628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969628,0.00005704622,0.001563048,0.0005143557,0.0004286002,0.0002840228,0.0001016006,0.00002654011,0.00006198993],"genre_scores_gemma":[0.9906585,0.00004793899,0.007133936,0.00169176,0.0002798322,0.00001028888,0.0001366521,0.00001777745,0.0000232797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03191884,"threshold_uncertainty_score":0.4904837,"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."}}