{"id":"W2041047069","doi":"10.1053/j.sult.2011.07.002","title":"Craniosynostosis and 3-Dimensional Computed Tomography","year":2011,"lang":"en","type":"article","venue":"Seminars in Ultrasound CT and MRI","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Craniosynostosis; Craniosynostoses; Computed tomography; Surgical planning; Hydrocephalus; Deformity; Medicine; Synostosis; Radiology; Surgery","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":[0.00005203659,0.0001257377,0.0001095405,0.00004731515,0.0000685198,0.00001246046,0.00004736287,0.00004662397,0.00002314563],"category_scores_gemma":[0.00001082098,0.0001170385,0.0000365615,0.00007589672,0.0001088398,0.000003914993,0.00004002591,0.00004634012,0.000001521992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002675828,"about_ca_system_score_gemma":0.000009816094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001225958,"about_ca_topic_score_gemma":0.0001043821,"domain_scores_codex":[0.9994104,0.00001799615,0.0001027532,0.0002550653,0.00005540282,0.0001583635],"domain_scores_gemma":[0.9997731,0.0000153529,0.00002420601,0.0001076787,0.00001483129,0.00006479747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001778364,0.0003333649,0.9202147,0.00002035892,0.0001023822,0.00003699323,0.0005320302,0.000001353275,0.06956543,0.0002992885,0.00131048,0.00740585],"study_design_scores_gemma":[0.002878264,0.0008822426,0.9391553,0.0001061816,0.00007618708,0.0003672673,0.0008920196,0.00001999321,0.04263946,0.003115632,0.009200398,0.0006670888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994634,0.003311584,0.00003142647,0.00001796671,0.00006767216,0.000106858,0.00001852286,0.000007654896,0.001804299],"genre_scores_gemma":[0.9973335,0.001445885,0.0009006085,0.0001224886,0.00001694225,0.00000775958,0.0000553434,0.00001040307,0.0001071217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02692597,"threshold_uncertainty_score":0.4772691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006897270695843157,"score_gpt":0.2136442571821024,"score_spread":0.2067469864862593,"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."}}