{"id":"W4382133098","doi":"10.5114/jos.2023.128816","title":"Evaluation of sella turcica types with two different classifications in cone-beam computed tomography","year":2023,"lang":"en","type":"article","venue":"Journal of Stomatology","topic":"Oral and Maxillofacial Pathology","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sella turcica; Cone beam computed tomography; Computed tomography; Medicine; Anatomy; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061961,0.00009518748,0.0003908944,0.0005126427,0.0000308384,0.00000733564,0.0001495579,0.00009480496,0.00006876048],"category_scores_gemma":[0.00008900012,0.00006907521,0.0000718988,0.0006475481,0.0001305762,0.00005813249,0.00002976229,0.0001889568,0.00003485285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003190461,"about_ca_system_score_gemma":0.0001016274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001540349,"about_ca_topic_score_gemma":0.0002128665,"domain_scores_codex":[0.9985984,0.0002527261,0.0005003943,0.0001149009,0.00037472,0.0001588906],"domain_scores_gemma":[0.9986499,0.00009540648,0.0004454787,0.0001314014,0.0006280452,0.00004979746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005718361,0.0008697415,0.9115161,0.0001083724,0.0005283788,0.000732259,0.0009504603,0.002879526,0.05608673,0.007302183,0.002724211,0.0157302],"study_design_scores_gemma":[0.002508867,0.0002993589,0.9871212,0.00005077983,0.0001969731,0.001022108,0.0002432144,0.001893112,0.003887672,0.002296923,0.0003801107,0.00009966169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998264,0.0001815465,0.0001497728,0.0003698529,0.0004797155,0.0001239968,0.00000943318,0.00002300878,0.0003986518],"genre_scores_gemma":[0.9997396,0.00001655742,0.0001318373,0.00002748845,0.00003297686,0.000005157263,0.000008150232,0.000008656309,0.0000295304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07560512,"threshold_uncertainty_score":0.2816805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560412292551649,"score_gpt":0.3253180698125639,"score_spread":0.2797139468870474,"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."}}