{"id":"W4402452693","doi":"10.11159/icbes24.117","title":"Tomographic System Prototype Dedicated To Breast Cancer Detection and Sentinel Lymph Node Identification","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Computer science; Identification (biology); Sentinel lymph node; Cancer detection; Medicine; Cancer; Radiology; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006232561,0.0005492072,0.0007368617,0.0006080177,0.0002844949,0.0008445253,0.001647008,0.001028221,0.01504304],"category_scores_gemma":[0.001363031,0.0004394169,0.0002924873,0.0003352491,0.0001928298,0.0004903621,0.0004289334,0.0004345988,0.003540463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003245779,"about_ca_system_score_gemma":0.0009387844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160089,"about_ca_topic_score_gemma":0.00111806,"domain_scores_codex":[0.9997155,0.0000633261,0.00001868349,0.00007365704,0.0001001645,0.00002862059],"domain_scores_gemma":[0.9993667,0.0001883198,0.00003210705,0.00008775985,0.00022747,0.00009769919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002527199,0.0004391764,0.007395013,0.0009042574,0.0002619193,0.001649558,0.0002675553,0.00373006,0.6932895,0.001865373,0.04575705,0.2419134],"study_design_scores_gemma":[0.001497133,0.004657149,0.05538306,0.0002266196,0.0009738116,0.02505413,0.000382302,0.1713702,0.4913752,0.001830023,0.246838,0.000412453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1558128,0.002368473,0.772801,0.002491528,0.001726032,0.002056706,0.003916195,0.0390748,0.01975231],"genre_scores_gemma":[0.5858707,0.0009222627,0.3754285,0.002964676,0.0004338884,0.001197617,0.004288566,0.001717054,0.02717669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01504304,"threshold_uncertainty_score":0.05032402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006879595784408988,"score_gpt":0.2415875443395311,"score_spread":0.2347079485551221,"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."}}