{"id":"W3025279268","doi":"","title":"Optimization of permanent breast seed implant dosimetry incorporating tissue heterogeneity","year":2015,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Breast tissue; Breast implant; Dosimetry; Implant; Medicine; Breast cancer; Radiology; Surgery; Internal medicine; Cancer","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":[0.0004047235,0.0004396629,0.0002418984,0.0002368924,0.0001623542,0.0005095014,0.0003705478,0.0003250557,0.001038052],"category_scores_gemma":[0.000682183,0.0002699209,0.0003905272,0.0002144683,0.0002289957,0.0002210576,0.0004571386,0.000217363,0.0002114067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611398,"about_ca_system_score_gemma":0.0004974735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008847417,"about_ca_topic_score_gemma":0.001153486,"domain_scores_codex":[0.999862,0.00002373336,0.000006010383,0.00002622582,0.00006318058,0.00001899105],"domain_scores_gemma":[0.9998022,0.000094837,0.00003317324,0.00003062133,0.00002625388,0.00001300242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000245391,0.00005826748,0.001764266,0.0001212602,0.00004599076,0.0001158598,0.000119792,0.7344398,0.2072529,0.002571933,0.000586315,0.05267828],"study_design_scores_gemma":[0.00003223899,0.0002132214,0.003707747,0.00001279311,0.00005015378,0.000211456,0.00004425093,0.8785374,0.113156,0.001151747,0.002845528,0.00003758215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2521353,0.000774189,0.7390404,0.0001747215,0.00005336455,0.00008914222,0.00009197574,0.001265471,0.006375271],"genre_scores_gemma":[0.9241186,0.0001427235,0.07377193,0.00004255773,0.00000754379,0.00002729736,0.00005607403,0.00024967,0.001583663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001038052,"threshold_uncertainty_score":0.004436016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769365933915955,"score_gpt":0.2474796253219346,"score_spread":0.229785965982775,"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."}}