{"id":"W2055227274","doi":"10.1016/j.medengphy.2014.06.007","title":"A tissue stabilization device for MRI-guided breast biopsy","year":2014,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Biopsy; Breast biopsy; Flexibility (engineering); Magnetic resonance imaging; Computer science; Biomedical engineering; Compression (physics); Displacement (psychology); Materials science; Medicine; Radiology; Mammography; Mathematics; Breast 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730908,0.0004771736,0.0002824851,0.0004712705,0.0002914345,0.000316842,0.0006825016,0.0008019315,0.002015934],"category_scores_gemma":[0.0005231772,0.0002640593,0.0002241957,0.0002347774,0.0003155819,0.0004431315,0.0004963694,0.0004126136,0.0008590852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400219,"about_ca_system_score_gemma":0.000293473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323834,"about_ca_topic_score_gemma":0.0001464031,"domain_scores_codex":[0.9997602,0.00003799325,0.00001778695,0.00004771105,0.000119832,0.00001654757],"domain_scores_gemma":[0.9996676,0.0001064339,0.00007774607,0.00004838744,0.00005469416,0.00004511702],"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":[0.0002087268,0.00004493714,0.0004729968,0.0002870311,0.0000139431,0.0003942931,0.00006464761,0.0007656369,0.913453,0.0009738554,0.001628208,0.08169265],"study_design_scores_gemma":[0.0001681645,0.002823475,0.007044054,0.0001379219,0.0001278129,0.008674406,0.00008148799,0.02200887,0.8864372,0.0005425354,0.07176732,0.0001866684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1590958,0.008763427,0.8223365,0.0008256002,0.0009498164,0.0004392363,0.000369377,0.002445211,0.004775028],"genre_scores_gemma":[0.5016685,0.002612973,0.4869271,0.0006574404,0.0002751855,0.0003316178,0.0003410616,0.0001172985,0.007068915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002015934,"threshold_uncertainty_score":0.006744027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495860367730811,"score_gpt":0.2398027826093299,"score_spread":0.2303069222415991,"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."}}