{"id":"W2036649199","doi":"10.1002/rcs.138","title":"Application of artificial neural networks for the estimation of tumour characteristics in biological tissues","year":2007,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Tumour tissue; Stiffness; Inverse; Artificial intelligence; Backpropagation; Pattern recognition (psychology); Biomedical engineering; Mathematics; Pathology; Materials science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001051335,0.000554763,0.000327848,0.0009029314,0.0001348515,0.0004518151,0.0003425117,0.0006718644,0.0006169472],"category_scores_gemma":[0.003346655,0.0002199437,0.0003016988,0.0005780405,0.0002696881,0.0004512209,0.0002649162,0.0004048418,0.0001793129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003798545,"about_ca_system_score_gemma":0.0002870237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558069,"about_ca_topic_score_gemma":0.001376833,"domain_scores_codex":[0.9997626,0.0000809021,0.00001981132,0.00004350934,0.00007679244,0.00001644416],"domain_scores_gemma":[0.9985785,0.0009455473,0.0001474734,0.00004634918,0.0002581422,0.00002383455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003699674,0.0001062999,0.007221851,0.0002428266,0.0001089658,0.0002787931,0.0001195043,0.6126792,0.03192307,0.0013744,0.0007751259,0.3448],"study_design_scores_gemma":[0.000005324064,0.00003867675,0.001671223,0.00001252154,0.00001330431,0.00006075881,0.00001003657,0.9920388,0.005130041,0.0007370912,0.0002716345,0.00001059237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1626702,0.00180915,0.8321209,0.0003661276,0.00006996141,0.00006252656,0.0001158245,0.0007801162,0.002005195],"genre_scores_gemma":[0.8392307,0.0006450464,0.1583399,0.00007125935,0.00004968214,0.00008154738,0.0001419136,0.00003421253,0.00140569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001558069,"threshold_uncertainty_score":0.00556004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042262988302243,"score_gpt":0.2595094269269032,"score_spread":0.2390867970438808,"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."}}