{"id":"W2139590107","doi":"10.1002/rcs.169","title":"Feasibility of locating tumours in lung via kinaesthetic feedback","year":2008,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; London Health Sciences Centre","funders":"","keywords":"Palpation; Parenchyma; Lung; Stiffness; Medicine; Nuclear medicine; In vivo; Biomedical engineering; Radiology; Pathology; Materials science; Biology; Internal 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":[0.0006834402,0.0003563632,0.0002567442,0.0002218904,0.0001413832,0.0004735188,0.0004646903,0.0007048434,0.001732886],"category_scores_gemma":[0.004119678,0.0002084756,0.0001754847,0.00008512558,0.00057934,0.001128226,0.0006181602,0.0003939179,0.0003782943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168811,"about_ca_system_score_gemma":0.0002904293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003657584,"about_ca_topic_score_gemma":0.0005421028,"domain_scores_codex":[0.9996502,0.00007024434,0.00001787092,0.0000731248,0.000141903,0.00004659017],"domain_scores_gemma":[0.9980697,0.001303279,0.0001810261,0.00009602533,0.0002373499,0.0001127022],"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":[0.0005849194,0.00005218677,0.002979586,0.0001970949,0.00001094426,0.0002443915,0.0001428616,0.002534675,0.9463459,0.0001484685,0.0001494661,0.04660951],"study_design_scores_gemma":[0.0001539065,0.005847744,0.05392085,0.00007673951,0.0001160622,0.007149725,0.0004753062,0.06724364,0.859414,0.0008083851,0.004659376,0.0001342314],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7908396,0.001390069,0.2039934,0.0005376905,0.00008856787,0.0001357336,0.00008829859,0.0005939373,0.002332764],"genre_scores_gemma":[0.9726165,0.0002142483,0.02630525,0.00008615284,0.00001566524,0.00004446477,0.0000403605,0.00002229978,0.000655111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001732886,"threshold_uncertainty_score":0.005797088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822768537266263,"score_gpt":0.2705641831358307,"score_spread":0.2423364977631681,"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."}}