{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004117301,0.0005007235,0.0003779988,0.0003095017,0.0001754136,0.0004343561,0.0007993116,0.0008740365,0.001865944],"category_scores_gemma":[0.001223181,0.0002946112,0.0003996137,0.0003679182,0.0002678092,0.0005295131,0.0003305593,0.0007964923,0.0004562474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006571352,"about_ca_system_score_gemma":0.000540568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274004,"about_ca_topic_score_gemma":0.009012005,"domain_scores_codex":[0.9998789,0.00003071611,0.000006270973,0.0000319731,0.00003464166,0.00001744542],"domain_scores_gemma":[0.9997072,0.0001539963,0.00002907485,0.00001245941,0.00009028491,0.000006970681],"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":[0.00001826143,0.000007315871,0.000231082,0.00001194307,0.00001024316,0.00001763596,0.000006895669,0.9895831,0.0007749756,0.0009633926,0.0001963598,0.008178746],"study_design_scores_gemma":[6.068003e-7,0.000002506978,0.00004635405,0.000001187398,0.00000131677,0.000002765366,6.823742e-7,0.999477,0.0001155529,0.0002798153,0.00007112214,0.000001054363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03644976,0.0007491882,0.9565844,0.0003394475,0.00006396043,0.00003561149,0.0002595103,0.0005909996,0.004927],"genre_scores_gemma":[0.8814133,0.000735215,0.1002583,0.00022055,0.00006104579,0.0002668754,0.000458468,0.00008491096,0.01650132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01274004,"threshold_uncertainty_score":0.0253318,"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."}}