{"id":"W4395465573","doi":"10.3390/jpm14050450","title":"Evaluation of a 3D Printed Silicone Oral Cavity Cancer Model for Surgical Simulations","year":2024,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Silicone; Tongue; Surgical margin; 3d printed; Otorhinolaryngology; Cancer; Surgery; Biomedical engineering; Internal medicine; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002833369,0.0001229311,0.0005631301,0.0002576036,0.0000375863,0.000006569869,0.00004885888,0.0000867692,0.001985116],"category_scores_gemma":[0.001204609,0.00008017482,0.0002120437,0.0003090462,0.0001396136,0.00009486839,0.000007989824,0.0002400722,8.80033e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020725,"about_ca_system_score_gemma":0.000740963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002305978,"about_ca_topic_score_gemma":0.00001350479,"domain_scores_codex":[0.9976636,0.0001014655,0.0006877454,0.0001426117,0.001254747,0.0001498828],"domain_scores_gemma":[0.997126,0.0005964781,0.0002247592,0.00008849781,0.001774751,0.0001895457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01247538,0.001330444,0.006889254,0.001777064,0.004483581,0.0003258883,0.0194302,0.2730336,0.03667564,0.006759631,0.002865657,0.6339537],"study_design_scores_gemma":[0.02080736,0.0003462618,0.0006938695,0.00106483,0.002099565,0.0001054352,0.0002018998,0.963222,0.0001561217,0.0005347914,0.01069706,0.00007079035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736267,0.007532765,0.01071647,0.005959339,0.0004833397,0.0005880509,0.00003500684,0.0000292296,0.001029117],"genre_scores_gemma":[0.997781,0.0001100285,0.0008983369,0.000167939,0.000579006,0.00000977075,0.00001882529,0.00001806885,0.0004170231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6901885,"threshold_uncertainty_score":0.9989272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.189340367204821,"score_gpt":0.4672184067950371,"score_spread":0.2778780395902161,"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."}}