{"id":"W2892800092","doi":"10.1097/01.gox.0000546753.43709.2d","title":"Abstract: Functional Network Development in Sagittal Craniosynostosis Treated with Whole Vault Cranioplasty","year":2018,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cranioplasty; Cranial vault; Medicine; Diffusion MRI; Sagittal plane; White matter; Nuclear medicine; Surgery; Anatomy; Radiology; Skull; Magnetic resonance imaging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001128757,0.0001689341,0.0001507852,0.0004665202,0.0002187252,0.0001661181,0.0001394199,0.0001541798,0.0012282],"category_scores_gemma":[0.0005428818,0.00006682151,0.0001771266,0.0002582892,0.0001710953,0.0001740151,0.0001152249,0.0001221459,0.00007879602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002824808,"about_ca_system_score_gemma":0.0002389068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338451,"about_ca_topic_score_gemma":0.003862855,"domain_scores_codex":[0.9999127,0.00001359975,0.000007175509,0.00002691757,0.0000201894,0.00001947539],"domain_scores_gemma":[0.9997974,0.00003273365,0.0001059192,0.000009608415,0.0000254252,0.00002889856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009174137,0.0001532303,0.9107734,0.00008972739,0.0001830694,0.006907227,0.0003316999,0.0005890629,0.05112567,0.0001127589,0.0003828688,0.02843393],"study_design_scores_gemma":[0.000005758519,0.000150141,0.9915234,0.00000626009,0.00003235914,0.005365481,0.00009854927,0.0006208857,0.002024923,0.00003950131,0.0001297943,0.000002919542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995388,0.00009595634,0.0001523065,0.00001385971,0.000001652583,0.000003338977,0.00005468225,0.000003253677,0.0001361847],"genre_scores_gemma":[0.9994742,0.00006885485,0.0001983768,0.000005512978,0.000002394775,0.000006292807,0.0001320345,0.000001827036,0.0001105495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002338451,"threshold_uncertainty_score":0.004649699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440944750595603,"score_gpt":0.2356477644121313,"score_spread":0.2212383169061752,"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."}}