{"id":"W2921194612","doi":"10.1117/12.2512632","title":"Controlling virtual views in navigated breast conserving surgery","year":2019,"lang":"en","type":"article","venue":"","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Operability; Lumpectomy; Computer science; Feature (linguistics); Technician; Haptic technology; Software; Artificial intelligence; Medical physics; Human–computer interaction; Breast cancer; Medicine; Cancer; Engineering; Mastectomy; Software engineering","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":[0.0007187459,0.0004699471,0.0002308784,0.0004377849,0.0001420739,0.000374823,0.0006528591,0.0002821728,0.001857909],"category_scores_gemma":[0.00395463,0.0003930675,0.0002738287,0.0001876396,0.0003510179,0.0004652341,0.000759541,0.0002258399,0.0003260458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898265,"about_ca_system_score_gemma":0.0002647066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004621901,"about_ca_topic_score_gemma":0.0006265524,"domain_scores_codex":[0.9992716,0.0002556498,0.00003690854,0.0001127964,0.0002696476,0.00005338288],"domain_scores_gemma":[0.997343,0.001795028,0.000309106,0.0002876356,0.0001692113,0.00009601364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001780865,0.0003626122,0.01716228,0.0004608604,0.00006705771,0.0009045274,0.001119601,0.01376617,0.4669778,0.001338033,0.00163585,0.4944243],"study_design_scores_gemma":[0.0005152794,0.01273366,0.214173,0.0003724981,0.0004899095,0.01767229,0.0006061934,0.1469475,0.5444899,0.002908727,0.05863648,0.0004544337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6012659,0.001119593,0.3925079,0.00008427273,0.00009383765,0.0002011175,0.0001122735,0.002138303,0.002476916],"genre_scores_gemma":[0.8294551,0.0002880707,0.168524,0.00006466958,0.00003975573,0.0001557655,0.0001034876,0.0002260441,0.001143023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001857909,"threshold_uncertainty_score":0.006215334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150948543054544,"score_gpt":0.2433142950679935,"score_spread":0.2318048096374481,"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."}}