{"id":"W3041794925","doi":"10.23919/eucap48036.2020.9135621","title":"Microwave Radar Breast Screening: System Interaction with the Post-Biopsy Clip","year":2020,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biopsy; Microwave imaging; Medical physics; Breast biopsy; Radar; Population; Medicine; Radiology; Mammography; Computer science; Microwave; Breast cancer; Telecommunications; Internal medicine; Cancer","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":[0.00008093461,0.0001621497,0.000163446,0.00004322964,0.00008376966,0.00009954713,0.0001514152,0.00003094079,0.00006366394],"category_scores_gemma":[0.000003105343,0.0001023685,0.00008202403,0.0002203298,0.00002792976,0.0000965017,0.00002643993,0.0002025112,0.0001322287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000365672,"about_ca_system_score_gemma":0.000005746346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001210657,"about_ca_topic_score_gemma":0.00002108056,"domain_scores_codex":[0.9993219,0.00002715301,0.0001547351,0.0001846204,0.0001178336,0.0001938082],"domain_scores_gemma":[0.999594,0.0000270074,0.00003062414,0.0002115445,0.00004696762,0.0000898222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001977832,0.00002534923,0.002079521,0.0005747868,0.001278291,0.0001190893,0.003723567,0.02405835,0.8910753,0.0003705957,0.04603755,0.03045982],"study_design_scores_gemma":[0.001878307,0.0002148949,0.006475134,0.0005783169,0.0008478374,0.005848829,0.02576743,0.8004002,0.1021776,0.00000219939,0.05382562,0.00198362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3618487,0.0001628021,0.6064731,0.01252815,0.000183,0.0001833136,0.0000272147,0.001731638,0.01686205],"genre_scores_gemma":[0.9957045,0.000001663394,0.003473832,0.0004314581,0.0001558543,0.000004258608,0.00001530657,0.00003599366,0.0001771331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7888977,"threshold_uncertainty_score":0.4174465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008664158974080287,"score_gpt":0.185983378380806,"score_spread":0.1773192194067257,"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."}}