{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557601,0.0004364975,0.000298065,0.001616354,0.0007924137,0.0006870693,0.0006015412,0.0003481785,0.0008906501],"category_scores_gemma":[0.00674391,0.0001745998,0.0003777508,0.001313933,0.0004822771,0.0003745806,0.0007417639,0.0004467966,0.0001319149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812939,"about_ca_system_score_gemma":0.003157432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02807037,"about_ca_topic_score_gemma":0.05903295,"domain_scores_codex":[0.9989825,0.0002241708,0.0001372633,0.0001440998,0.0003256329,0.0001863357],"domain_scores_gemma":[0.9970397,0.0006549501,0.001261007,0.0001002247,0.0004594748,0.0004844667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007527418,0.00003220153,0.9832025,0.00003122786,0.00002002356,0.001188577,0.000260656,0.0001966259,0.0002512947,0.00006092453,0.0006679919,0.01401276],"study_design_scores_gemma":[0.00001463869,0.0004534328,0.9900602,0.00007897791,0.00002611292,0.005760846,0.001260616,0.001125027,0.0003280222,0.00005387906,0.0008184675,0.0000196886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965334,0.001008677,0.0004641832,0.0003567447,0.00001861672,0.0001133325,0.0002800022,0.00002329051,0.001201697],"genre_scores_gemma":[0.996765,0.0009452867,0.001564456,0.00009822571,0.00002705324,0.00007348057,0.0003423108,0.00000894075,0.0001751712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9719296,"threshold_uncertainty_score":0.05581397,"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."}}