{"id":"W2090380497","doi":"10.1017/s0022215110000332","title":"The ongoing dilemma of residual cholesteatoma detection: are current magnetic resonance imaging techniques good enough?","year":2010,"lang":"en","type":"article","venue":"The Journal of Laryngology & Otology","topic":"Ear Surgery and Otitis Media","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Cholesteatoma; Magnetic resonance imaging; Residual; Echo-planar imaging; Medicine; Radiology; Diffusion-Weighted Magnetic Resonance Imaging; Diffusion MRI; Computer science; Algorithm","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":[0.001740699,0.0001516992,0.0004758176,0.0001485422,0.0002110559,0.000008116804,0.0003419647,0.000143888,0.00007636411],"category_scores_gemma":[0.0007225371,0.00008659181,0.0001316448,0.0001707869,0.0008415979,0.00007992383,0.00008616482,0.001454881,0.000007859628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001952642,"about_ca_system_score_gemma":0.0001427252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002034783,"about_ca_topic_score_gemma":0.0003461826,"domain_scores_codex":[0.9981857,0.0004779362,0.000649335,0.0001278739,0.0002264135,0.0003327768],"domain_scores_gemma":[0.9975001,0.00102673,0.0006542848,0.0004107538,0.000316492,0.00009169469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001101383,0.0002175009,0.5728163,0.00006575172,0.00006829102,0.0005984911,0.000716758,5.65903e-7,0.06441125,0.001289131,0.002001355,0.3567132],"study_design_scores_gemma":[0.0008079713,0.000749987,0.8369614,0.0001861068,0.0002054536,0.02047021,0.0002004201,0.00001292693,0.03707264,0.0005616854,0.1026652,0.0001059684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784636,0.01310161,0.00004299939,0.005981267,0.001626128,0.0001950802,0.000002801353,0.00002501364,0.0005614265],"genre_scores_gemma":[0.9971947,0.001375592,0.000253864,0.0003177691,0.0007355377,0.000007318395,6.353288e-7,0.00001953134,0.00009501923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3566073,"threshold_uncertainty_score":0.6320813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007948730706282867,"score_gpt":0.2614936975455006,"score_spread":0.2535449668392177,"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."}}