{"id":"W4408541185","doi":"10.1016/j.mechmachtheory.2025.105987","title":"Optimization of design parameters for a flexible endoscopic surgical tool using medical imaging data for minimally invasive surgery (MIS)","year":2025,"lang":"en","type":"article","venue":"Mechanism and Machine Theory","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Centre Hospitalier Universitaire de Nantes; Indian Council of Medical Research; European Commission","keywords":"Invasive surgery; Medicine; Surgery; Minimally invasive procedures; Surgical procedures; Computer science; Biomedical 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":[0.002163197,0.0001351556,0.000408573,0.0001661276,0.0001032816,0.00001751344,0.0001070312,0.0000799476,0.0001056268],"category_scores_gemma":[0.002169467,0.0001120949,0.00008616239,0.000131601,0.00007301635,0.00009454005,0.00007511311,0.00007729233,1.80699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001637805,"about_ca_system_score_gemma":0.0002831327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021195,"about_ca_topic_score_gemma":8.435737e-7,"domain_scores_codex":[0.9988126,0.000135112,0.000376036,0.000307951,0.0001674725,0.000200869],"domain_scores_gemma":[0.9944925,0.004986031,0.00009779349,0.0002511279,0.00007889075,0.0000936467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0223906,0.001016499,0.003282653,0.00392404,0.001240109,0.0002186031,0.0007398113,0.01477449,0.005901713,0.5833195,0.0003969675,0.362795],"study_design_scores_gemma":[0.007165947,0.000111289,0.00002963631,0.0005186417,0.0003508704,0.00003108747,0.0002057745,0.9457452,0.007933106,0.0373613,0.0003940412,0.0001530912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04469871,0.0004316793,0.9534031,0.0002562832,0.0001644164,0.0007565034,0.00006537152,0.00005356774,0.0001704376],"genre_scores_gemma":[0.9060289,0.0000776935,0.09269469,0.000636521,0.00005193922,0.00004174282,0.0003318592,0.00002319286,0.0001134475],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9309707,"threshold_uncertainty_score":0.4571098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07531136512459424,"score_gpt":0.3359641213333523,"score_spread":0.2606527562087581,"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."}}