{"id":"W4387422047","doi":"10.1038/s41598-023-44131-5","title":"Microwave bone fracture diagnosis using deep neural network","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Overfitting; Computer science; Artificial neural network; Imaging phantom; Artificial intelligence; Fracture (geology); Pattern recognition (psychology); Materials science; Radiology","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":[0.0007908135,0.0001953513,0.0002484137,0.0002667746,0.000342394,0.0004183822,0.0001194474,0.00007268733,0.0001388134],"category_scores_gemma":[0.00004580414,0.0001937459,0.0001772376,0.001495897,0.00009598852,0.000135514,0.00006697774,0.0001890543,0.0001094587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000593194,"about_ca_system_score_gemma":0.00001477956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000314756,"about_ca_topic_score_gemma":0.00003249152,"domain_scores_codex":[0.9981428,0.00002675684,0.0004245596,0.0005245052,0.0002985745,0.0005828537],"domain_scores_gemma":[0.998943,0.0000359033,0.00009047049,0.0007458881,0.00005411238,0.0001305864],"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":[5.492678e-7,0.000005660889,0.01231943,0.00003404189,0.00004609896,0.0008571613,0.0002364745,0.7832636,0.05392701,5.649135e-7,0.1455684,0.003740999],"study_design_scores_gemma":[0.00009294933,0.000005710725,0.003460505,0.00009322962,0.0001356749,0.0006862403,0.00008455637,0.8586143,0.03607105,0.001727485,0.09836389,0.0006644221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838942,0.001126916,0.00543108,0.0001588727,0.007926802,0.0001026325,0.000001646143,0.0009594742,0.0003983536],"genre_scores_gemma":[0.9977462,0.00001461566,0.001150997,0.00006408498,0.0002827503,0.00001357052,0.00006148542,0.0000475771,0.0006187017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07535066,"threshold_uncertainty_score":0.7900728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378442893643101,"score_gpt":0.2298172604281689,"score_spread":0.2160328314917379,"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."}}