{"id":"W2104894501","doi":"10.1109/tbme.2010.2098406","title":"Laser Surface Estimation for Microwave Breast Imaging Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microwave imaging; Microwave; Laser; Scanner; Laser scanning; Breast imaging; Computer vision; Human breast; Surface (topology); Medical imaging; Mammography; Interface (matter); Computer science; Artificial intelligence; Biomedical engineering; Optics; Breast cancer; Acoustics; Physics; Engineering; Medicine; Telecommunications; Mathematics","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":[0.0005057522,0.0003376883,0.0003934388,0.0005141569,0.0002199725,0.0005870092,0.000427113,0.0006916414,0.00171427],"category_scores_gemma":[0.002936754,0.0002448882,0.0002396005,0.0006539561,0.0002946755,0.0009537435,0.0004749505,0.000579462,0.0009454681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003997847,"about_ca_system_score_gemma":0.0003182258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008790884,"about_ca_topic_score_gemma":0.0007711146,"domain_scores_codex":[0.9994598,0.0001875687,0.00001502889,0.00005539315,0.000255645,0.00002653264],"domain_scores_gemma":[0.9987674,0.000712326,0.0001184727,0.0001138224,0.0002696371,0.00001834188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003524807,0.00006018409,0.002459275,0.0002201079,0.00005900635,0.0001166527,0.0001996321,0.2263142,0.163245,0.01138827,0.002870338,0.592715],"study_design_scores_gemma":[0.00001547033,0.00009821408,0.001375424,0.00001930716,0.00001781725,0.0001777178,0.00005283947,0.9358482,0.05215779,0.005383223,0.004817802,0.00003611148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01403371,0.0004993537,0.9839463,0.0001589544,0.00001673343,0.00001512222,0.00002859184,0.0004934015,0.0008077712],"genre_scores_gemma":[0.4717987,0.001231087,0.5224589,0.0001207357,0.00008052016,0.00009686278,0.0001952209,0.0001648075,0.003853229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00171427,"threshold_uncertainty_score":0.005734742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004001508109642223,"score_gpt":0.1967855736978865,"score_spread":0.1927840655882443,"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."}}