{"id":"W4387206882","doi":"10.1016/j.ijrobp.2023.06.1064","title":"Uncovering the Armpit of Axillary SBRT","year":2023,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Common Terminology Criteria for Adverse Events; Clinical endpoint; Cumulative incidence; Axilla; Incidence (geometry); Adverse effect; Radiation therapy; Retrospective cohort study; Breast cancer; Radiology; Internal medicine; Surgery; Cancer; Clinical trial; Cohort","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":[0.0007507306,0.000496176,0.0002527035,0.0007840262,0.001146984,0.002042832,0.0008222634,0.001570657,0.007451673],"category_scores_gemma":[0.003558226,0.000411809,0.0003702547,0.000434133,0.001616826,0.001768338,0.002182327,0.002576048,0.001985806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840297,"about_ca_system_score_gemma":0.001283643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003822417,"about_ca_topic_score_gemma":0.009111442,"domain_scores_codex":[0.9995059,0.00009318061,0.00001340637,0.00005545908,0.0002265731,0.000105343],"domain_scores_gemma":[0.9992422,0.0002986989,0.00007879455,0.00009364432,0.0001365096,0.0001501894],"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":[0.001396179,0.0001671408,0.03834638,0.0009683934,0.0001244404,0.02313835,0.008314933,0.01443874,0.08803532,0.05024054,0.151498,0.6233317],"study_design_scores_gemma":[0.00006278004,0.0007454408,0.04512934,0.001611994,0.0001614005,0.05017176,0.01453077,0.02175865,0.01970906,0.07949092,0.7663739,0.0002539989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.477135,0.04491808,0.1541844,0.08771215,0.01228178,0.0002178726,0.001827382,0.00365179,0.2180716],"genre_scores_gemma":[0.9093347,0.007141677,0.04136213,0.01014886,0.00143582,0.00006046905,0.0004570753,0.0009659615,0.02909336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007451673,"threshold_uncertainty_score":0.02492839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566091359926917,"score_gpt":0.333276491150882,"score_spread":0.3176155775516128,"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."}}