{"id":"W4400649813","doi":"10.1109/imbioc60287.2024.10590541","title":"Neural Network Model for Breast Tissue Thickness Estimation","year":2024,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial neural network; Estimation; Breast tissue; Artificial intelligence; Breast cancer; Speech recognition; Medicine; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009308079,0.0001231851,0.0001045687,0.00003169134,0.00005388139,0.00009810943,0.00008933566,0.0000869125,0.000044643],"category_scores_gemma":[0.000002753277,0.0001150157,0.00003815791,0.0001468297,0.00001154636,0.0002103929,0.00001710333,0.0001164907,0.00004217009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003611902,"about_ca_system_score_gemma":0.00001057567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003177954,"about_ca_topic_score_gemma":0.00002055691,"domain_scores_codex":[0.9993777,0.000004839863,0.0001368954,0.0001438503,0.00007775058,0.0002589428],"domain_scores_gemma":[0.9997207,0.00007365935,0.000005373649,0.0001327606,0.00001954773,0.00004795568],"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":[0.000002280636,0.000001707613,0.0000028964,0.0001025345,0.00001422165,0.000001915447,0.00007831045,0.8794031,0.00007761171,0.007120281,0.02009223,0.09310295],"study_design_scores_gemma":[0.00006033396,0.000005288491,0.00004986018,0.00005268391,0.00001610281,0.00002481635,0.000003688786,0.9959382,0.00005227044,0.003131754,0.0005221043,0.0001428575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003405951,0.0005384876,0.990391,0.0002296861,0.0008766887,0.0002188257,0.00001912127,0.001524894,0.002795328],"genre_scores_gemma":[0.9788307,0.000008372,0.01936228,0.00004072858,0.0005653474,0.00007040266,0.00003569188,0.00006201041,0.001024453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9754248,"threshold_uncertainty_score":0.4690206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180072928306962,"score_gpt":0.2391586123360783,"score_spread":0.2273578830530086,"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."}}