{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399006,0.0005498307,0.0003380257,0.0004746843,0.0001514081,0.0003633408,0.000714891,0.0006817452,0.0009463],"category_scores_gemma":[0.0007353205,0.0002557449,0.0003900881,0.0002780501,0.0002074906,0.0003567327,0.0003907171,0.0004389677,0.0001928017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006047941,"about_ca_system_score_gemma":0.0003827052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005716904,"about_ca_topic_score_gemma":0.008062415,"domain_scores_codex":[0.9998903,0.00001798444,0.000005852976,0.00002730609,0.00004046075,0.00001806441],"domain_scores_gemma":[0.9998304,0.00007846634,0.00002334578,0.000009565103,0.00004965801,0.00000845299],"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":[0.0002106723,0.00009498224,0.003637975,0.00009369035,0.00007157039,0.0001549337,0.00002487398,0.8091942,0.01210121,0.001101198,0.001119267,0.1721955],"study_design_scores_gemma":[0.000002454187,0.00001810689,0.0002801153,0.000004198313,0.000005331377,0.00001728554,0.00000368232,0.9978766,0.001332882,0.0003567307,0.0001002856,0.00000239238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.143772,0.0009517765,0.8506936,0.0003192474,0.00008435147,0.00005752287,0.0001863661,0.0009817588,0.002953395],"genre_scores_gemma":[0.8951524,0.0003721663,0.1012763,0.000137783,0.00003381162,0.00005375169,0.0002479177,0.00002686346,0.002698909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005716904,"threshold_uncertainty_score":0.0113672,"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."}}