{"id":"W2023362853","doi":"10.1115/sbc2007-175963","title":"Grasping Contact Analysis of Tissues With Semi-Cylindrical Teeth Grasper for Minimally Invasive Surgery Applications","year":2007,"lang":"en","type":"article","venue":"ASME 2007 Summer Bioengineering Conference","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Invasive surgery; Biomedical engineering; Minimally invasive procedures; Computer science; Materials science; Surgery; Medicine","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":[0.0003320163,0.0003030049,0.0003640203,0.0005251077,0.0002468014,0.0004939747,0.0004281709,0.0006898433,0.00081321],"category_scores_gemma":[0.001077678,0.0002290926,0.0003425143,0.0003364274,0.0005592121,0.0006534359,0.0003503382,0.0002020707,0.000183315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547078,"about_ca_system_score_gemma":0.0002735078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004187677,"about_ca_topic_score_gemma":0.0003312382,"domain_scores_codex":[0.9995465,0.00006059347,0.00001673867,0.0000532513,0.0002913225,0.00003159826],"domain_scores_gemma":[0.9994799,0.0003050336,0.00006217065,0.00005838003,0.00007122458,0.00002316994],"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":[0.0001871587,0.00004392562,0.001882168,0.0002495258,0.0000209656,0.0004297474,0.0003030295,0.06362421,0.8892943,0.002934886,0.0003555598,0.04067458],"study_design_scores_gemma":[0.00001345234,0.0003318315,0.007612367,0.00001216855,0.0000156739,0.000856933,0.0002245924,0.8635113,0.1233507,0.002033401,0.00198111,0.00005641154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.453035,0.0007843744,0.5430135,0.0001253027,0.00003352908,0.0000566567,0.00005933223,0.0004030269,0.002489354],"genre_scores_gemma":[0.9636942,0.0002446007,0.03497015,0.00001850156,0.000011334,0.00003013664,0.00003439593,0.0000258216,0.0009708476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00081321,"threshold_uncertainty_score":0.002720475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866671015044485,"score_gpt":0.2639008818178248,"score_spread":0.23523417166738,"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."}}