{"id":"W2889165000","doi":"10.1016/j.snb.2018.08.084","title":"Passive microwave resonant sensor for detection of deep tissue injuries","year":2018,"lang":"en","type":"article","venue":"Sensors and Actuators B Chemical","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Microwave; Biomedical engineering; Medicine; Spinal cord injury; Stage (stratigraphy); Materials science; Spinal cord; Surgery; Computer science; Geology; Telecommunications","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":[0.00005999118,0.0001497301,0.0002338901,0.00007823917,0.00005991725,0.0000217548,0.00005476851,0.00009314321,0.0000133364],"category_scores_gemma":[0.00005655218,0.0001369554,0.0000689867,0.0001021115,0.0001825099,0.00003717713,0.00001998611,0.00008649909,0.000006392854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002454687,"about_ca_system_score_gemma":0.000003948328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211686,"about_ca_topic_score_gemma":0.000005067579,"domain_scores_codex":[0.9992984,0.000009695133,0.0002122192,0.0001893398,0.00007444222,0.0002159202],"domain_scores_gemma":[0.9996031,0.00006702062,0.00004057975,0.000146576,0.00006921702,0.00007351763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002024137,0.000006671453,0.00005015184,0.00006916204,0.00004738491,6.940346e-7,0.0004556818,0.000004084461,0.9321599,0.000007833248,0.0002337851,0.06694441],"study_design_scores_gemma":[0.000172121,0.00003913242,0.00007184486,0.00002057736,0.0000458745,0.00001235506,0.0001280325,0.0106007,0.9845434,0.0001664519,0.00403636,0.0001631607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686034,0.0001138258,0.03083418,0.00007840875,0.0001022565,0.00007635001,0.00002041629,0.00008336361,0.0000877926],"genre_scores_gemma":[0.9956754,0.00002507743,0.003954893,0.00002169083,0.0002266368,0.000005999675,0.0000064786,0.00002867418,0.0000551717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06678125,"threshold_uncertainty_score":0.5584881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004604741484298834,"score_gpt":0.2134660886638036,"score_spread":0.2088613471795048,"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."}}