{"id":"W2409652939","doi":"10.1109/eucap.2016.7481765","title":"Investigation of time-domain microwave radar with breast clinic patients","year":2016,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University Health Centre","keywords":"Wearable computer; Computer science; Radar; Adaptability; Microwave; Microwave imaging; Time domain; Electronic engineering; Real-time computing; Embedded system; Engineering; Telecommunications; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009388734,0.0002724981,0.0003798512,0.0002417815,0.0002764777,0.0003571548,0.0003632294,0.0006114729,0.003046085],"category_scores_gemma":[0.002083914,0.0001355893,0.0002003899,0.0002708242,0.0003093993,0.0003939232,0.0003571969,0.0003853886,0.0007960583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252754,"about_ca_system_score_gemma":0.000140836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002578844,"about_ca_topic_score_gemma":0.0002823155,"domain_scores_codex":[0.9993412,0.0003573001,0.00002202848,0.0001073845,0.000115037,0.00005700946],"domain_scores_gemma":[0.9991766,0.000336429,0.000105912,0.0001197444,0.0001607208,0.0001006347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00398394,0.005597054,0.1216043,0.0007865864,0.0001255052,0.007531079,0.008105716,0.003709285,0.5973259,0.001778907,0.00395568,0.245496],"study_design_scores_gemma":[0.0008153433,0.04886118,0.3606704,0.0001648111,0.0006285458,0.05785864,0.01203615,0.03295252,0.4419263,0.001447539,0.04236924,0.0002694318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868503,0.0002840187,0.009564711,0.0002751095,0.00004207882,0.00008345206,0.00008532059,0.00007787226,0.002737149],"genre_scores_gemma":[0.9863288,0.0003234183,0.01091377,0.0003641144,0.00006674991,0.0000635927,0.0001136215,0.00002990159,0.001795912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003046085,"threshold_uncertainty_score":0.01019019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005240879846545859,"score_gpt":0.1722866942217791,"score_spread":0.1670458143752332,"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."}}