{"id":"W4386810800","doi":"10.1007/s10143-023-02155-5","title":"Differential diagnosis of atypical and anaplastic meningiomas based on conventional MRI features and ADC histogram parameters using a logistic regression model nomogram","year":2023,"lang":"en","type":"article","venue":"Neurosurgical Review","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Science and Technology Program of Gansu Province; China International Medical Foundation; National Natural Science Foundation of China","keywords":"Medicine; Nomogram; Logistic regression; Neurosurgery; Histogram; Radiology; Differential diagnosis; Nuclear medicine; Pathology; Artificial intelligence; Oncology; Internal medicine","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":[0.00184667,0.0008739933,0.0007798779,0.003181224,0.0003936852,0.001676153,0.0006699852,0.000481954,0.001182676],"category_scores_gemma":[0.00594485,0.0003080898,0.001185463,0.001064235,0.0003301609,0.001221718,0.0006896284,0.0007681616,0.0005107638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471902,"about_ca_system_score_gemma":0.0007130899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279932,"about_ca_topic_score_gemma":0.002503127,"domain_scores_codex":[0.9995188,0.0001648448,0.00008915168,0.00007639422,0.000108254,0.00004259568],"domain_scores_gemma":[0.998223,0.0008776661,0.0003538386,0.00008339844,0.0003376699,0.0001244253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009768726,0.0001407902,0.8883495,0.0003080493,0.0006288221,0.002876555,0.0001723094,0.007903027,0.002297575,0.0007728723,0.002880068,0.0926936],"study_design_scores_gemma":[0.0002004931,0.001368248,0.5337778,0.0006333607,0.002794749,0.0338481,0.001721419,0.4008827,0.00448447,0.006244733,0.01379956,0.0002442672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378076,0.00849317,0.04451138,0.001402051,0.0002707057,0.0001847886,0.001147826,0.0003907915,0.005791809],"genre_scores_gemma":[0.9881632,0.001666787,0.008721365,0.00006042519,0.0001260964,0.00005440961,0.000633816,0.00003370556,0.0005403828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003181224,"threshold_uncertainty_score":0.009766221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08847400503669822,"score_gpt":0.3428127716895961,"score_spread":0.2543387666528978,"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."}}