{"id":"W1978586409","doi":"10.1097/scs.0b013e3181b6c74a","title":"Design Features and Simple Methods of Incorporating Nasal Stents in Presurgical Nasoalveolar Molding Appliances","year":2009,"lang":"en","type":"article","venue":"Journal of Craniofacial Surgery","topic":"Cleft Lip and Palate Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Nasal cartilages; Clinical Practice; Stent; Dentistry; Orthodontics; Molding (decorative); Columella; Medical physics; Nose; Surgery; Rhinoplasty; Physical therapy; Engineering; Mechanical engineering","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":[0.002281104,0.0001089134,0.000352738,0.000126219,0.00004532528,0.00002707979,0.000109504,0.0001450687,0.000008158229],"category_scores_gemma":[0.0003993712,0.00009210383,0.0001335933,0.0001493806,0.00006175139,0.00001483688,0.00003488551,0.0002018577,1.348377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009294554,"about_ca_system_score_gemma":0.0001182047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229023,"about_ca_topic_score_gemma":0.000002234842,"domain_scores_codex":[0.9985883,0.0003510508,0.0004918515,0.0001342617,0.0002381736,0.0001964197],"domain_scores_gemma":[0.9991677,0.0002333039,0.0002974186,0.00008450891,0.0001184335,0.00009863399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007949307,0.0001145848,0.2097408,0.00004118271,0.00006020893,0.00005968342,0.00009486404,0.0004646433,0.7052569,0.00002979772,0.0004901489,0.08285224],"study_design_scores_gemma":[0.001837644,0.0009207975,0.7337943,0.0002616933,0.00004495528,0.0003643741,0.0002738411,0.0003611333,0.2549385,0.003287458,0.003404102,0.0005111662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941263,0.0009278214,0.004575023,0.00007925024,0.00009861789,0.00008505789,0.000002573582,0.000001729766,0.0001035906],"genre_scores_gemma":[0.9945019,0.000609554,0.004615637,0.00003938127,0.0002107559,9.293091e-7,0.000002832835,0.000007626275,0.0000114239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5240535,"threshold_uncertainty_score":0.3755885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045401203698282,"score_gpt":0.3572765551818162,"score_spread":0.3168225431448334,"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."}}