{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003361954,0.0003478664,0.0002824862,0.0002810366,0.0001327022,0.0002881797,0.0005718008,0.0006949492,0.001735108],"category_scores_gemma":[0.000338794,0.0003114568,0.0002358662,0.0001276286,0.0001865594,0.0005383585,0.0003296948,0.0003668138,0.0006435482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526136,"about_ca_system_score_gemma":0.0001402468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008928606,"about_ca_topic_score_gemma":0.0002569123,"domain_scores_codex":[0.9998209,0.00002929993,0.000008886965,0.00004900699,0.0000727326,0.00001914933],"domain_scores_gemma":[0.9998562,0.00004213871,0.00003494581,0.00001462241,0.00003762276,0.00001443064],"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":[0.000147361,0.00004153124,0.0002988598,0.00008193548,0.000008163585,0.00003994751,0.00001832434,0.00009263749,0.9905586,0.0001561789,0.0002273955,0.008329057],"study_design_scores_gemma":[0.00002732662,0.0004557252,0.002457165,0.00001462605,0.0000668615,0.0006965288,0.00003987422,0.006760446,0.9862417,0.0001365575,0.003090543,0.00001262325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393004,0.008477623,0.2405566,0.0008416616,0.0005004815,0.0002013916,0.0004059785,0.0009404335,0.008775327],"genre_scores_gemma":[0.9387159,0.00186952,0.05129831,0.0004828835,0.0001052387,0.00008199486,0.0002030701,0.00004488296,0.00719808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001735108,"threshold_uncertainty_score":0.005804539,"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."}}