{"id":"W4380873559","doi":"10.1177/19433875231178912","title":"Improving Cranial Vault Remodeling for Unilateral Coronal Craniosynostosis—Introducing Automated Surgical Planning","year":2023,"lang":"en","type":"article","venue":"Craniomaxillofacial Trauma & Reconstruction","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Misericordia Community Hospital; University of Alberta","funders":"","keywords":"Cranial vault; Craniosynostosis; Skull; Computer science; Sagittal plane; Surgical planning; Workflow; Hausdorff distance; Deformity; Orthodontics; Artificial intelligence; Medicine; Surgery; Anatomy; Database","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002955572,0.0003927934,0.0003733225,0.0002049994,0.0007270325,0.0001291054,0.000186729,0.0003930963,0.00003705063],"category_scores_gemma":[0.0001000657,0.0004149843,0.0003347526,0.0003415037,0.0001296602,0.00003727661,0.00006911605,0.0001547305,0.0000292215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006352419,"about_ca_system_score_gemma":0.00009268409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001148594,"about_ca_topic_score_gemma":0.00003550541,"domain_scores_codex":[0.9975963,0.00005937623,0.0005508951,0.0008726184,0.0002395949,0.0006812222],"domain_scores_gemma":[0.9991708,0.00002437872,0.0001791844,0.0002875371,0.0001789085,0.0001592262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001870424,0.0001616597,0.01487178,0.0001224844,0.0003317833,0.00006158005,0.0004111531,0.006501331,0.4027527,0.0001573446,0.0006797268,0.572078],"study_design_scores_gemma":[0.05271232,0.004767026,0.1143864,0.0005816325,0.001021952,0.004343773,0.004238045,0.5870912,0.1137218,0.003279514,0.106953,0.006903314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991933,0.00009386988,0.00406942,0.0001365378,0.001973509,0.0006446234,0.0001977595,0.0005655694,0.0003857377],"genre_scores_gemma":[0.9952537,0.0000471692,0.002551361,0.0000338205,0.00082925,0.00008294866,0.0008288681,0.00008658812,0.0002862732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5805898,"threshold_uncertainty_score":0.9998302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787152368718345,"score_gpt":0.2868480276975486,"score_spread":0.2689765040103652,"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."}}