{"id":"W4409786557","doi":"10.1097/01.gox.0001112400.96224.49","title":"113. Development, Optimization and Characterization of 3-mm Diameter Robotic Instruments for Robotic Assisted Cleft Palate Repair","year":2025,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Cleft Lip and Palate Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Characterization (materials science); Materials science; Computer science; Biomedical engineering; Engineering; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007416981,0.0003533269,0.0001902578,0.0003058329,0.0001970546,0.0004627681,0.0005106695,0.000544177,0.0008937045],"category_scores_gemma":[0.001269895,0.0002545075,0.000497086,0.0002184482,0.0002702464,0.0002484081,0.0003003021,0.000228057,0.0004335426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004146431,"about_ca_system_score_gemma":0.0006829834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007788178,"about_ca_topic_score_gemma":0.001024949,"domain_scores_codex":[0.9994532,0.00004853871,0.00005074361,0.00006646443,0.0003355013,0.00004553081],"domain_scores_gemma":[0.999059,0.0001694874,0.0003373097,0.0001063279,0.0002726732,0.00005517968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001876726,0.0002387452,0.008815831,0.0004031667,0.00002990967,0.0003485217,0.0001436855,0.05485416,0.8938463,0.0005285376,0.0004006055,0.04020289],"study_design_scores_gemma":[0.00004442952,0.003204908,0.025924,0.00004875534,0.00005925447,0.0007083832,0.00009921582,0.0787253,0.8823758,0.0001572942,0.008574614,0.00007811005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311202,0.0006615579,0.06447514,0.00006421092,0.00003427124,0.0002540817,0.0003894012,0.0003267428,0.002674436],"genre_scores_gemma":[0.9080674,0.000271676,0.08954003,0.00001874371,0.000002733692,0.0001886664,0.0003940612,0.00004099128,0.001475775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008937045,"threshold_uncertainty_score":0.003922582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437656124032312,"score_gpt":0.285870986691489,"score_spread":0.2614944254511659,"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."}}