{"id":"W4367174461","doi":"10.1097/prs.0000000000010587","title":"The Montreal Children’s Hospital Experience Managing Robin Sequence: An Analysis of Outcomes and Algorithm for Surgical Technique Selection","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Montreal Children's Hospital","funders":"","keywords":"Selection (genetic algorithm); Population; Pierre Robin syndrome; Computer science; Sequence (biology); Medicine; General surgery; Pediatrics; Artificial intelligence; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001380735,0.0001269792,0.0002347301,0.0001359884,0.0001759009,0.00002417143,0.00005755179,0.00007342681,0.000003238518],"category_scores_gemma":[0.0001164539,0.00009758859,0.0001600135,0.000307014,0.0002006638,0.0000100153,0.00003247057,0.00003727969,2.77475e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001462723,"about_ca_system_score_gemma":0.00003551918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269049,"about_ca_topic_score_gemma":0.0001215819,"domain_scores_codex":[0.9991843,0.00004003751,0.0001943274,0.0003050433,0.00007988503,0.0001964855],"domain_scores_gemma":[0.9993641,0.0003126124,0.0000960293,0.000112358,0.00006674568,0.00004819772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005406326,0.00004563961,0.8805102,0.000003898982,0.0007980943,0.000003211937,0.00008729151,0.00005473314,0.001426874,0.0000371605,0.00001337544,0.1169655],"study_design_scores_gemma":[0.0004320014,0.0001414102,0.9862198,0.000008947571,0.0002718724,0.00002506239,0.0006816268,0.006516482,0.005180045,0.0002691312,0.00002878057,0.0002248811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994285,0.00005693942,0.005048323,0.00001128347,0.0001493759,0.0002442858,0.0001714669,0.00001896004,0.00001430524],"genre_scores_gemma":[0.9989714,0.000212746,0.0003712984,0.000002104367,0.000024308,0.0001650329,0.0002231257,0.00001028437,0.00001972663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1167406,"threshold_uncertainty_score":0.3979547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008332111324631018,"score_gpt":0.2600447889405056,"score_spread":0.2517126776158746,"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."}}