{"id":"W3085971789","doi":"10.1016/j.jmir.2020.07.034","title":"Dosimetric Effect of Truncation on Palliative Patients","year":2020,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Management of metastatic bone disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Michener Institute; University of Toronto","funders":"","keywords":"Truncation (statistics); Medicine; Palliative treatment; Palliative care; Planner; Radiation treatment planning; Radiology; Nuclear medicine; Radiation therapy; Surgery; Computer science; Mathematics; Nursing; Statistics","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":[0.002208148,0.0002452441,0.0005675498,0.0003254148,0.0003011238,0.0005909506,0.0003806538,0.0003826882,0.006508828],"category_scores_gemma":[0.01154632,0.0001043912,0.0008685266,0.0003663448,0.0005428013,0.0002915726,0.0008202599,0.000525887,0.0004359382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007773886,"about_ca_system_score_gemma":0.0006145185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201305,"about_ca_topic_score_gemma":0.001842084,"domain_scores_codex":[0.9988163,0.0006974473,0.00008255748,0.00008970235,0.0002034228,0.0001107854],"domain_scores_gemma":[0.993778,0.00425861,0.000641415,0.000549425,0.000350884,0.0004217243],"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":[0.1062293,0.001096458,0.1993635,0.001003536,0.001121823,0.001557617,0.001482972,0.2373456,0.08680615,0.009375841,0.003882079,0.3507352],"study_design_scores_gemma":[0.001819663,0.02650917,0.8451669,0.0004271037,0.00166742,0.004580395,0.001431857,0.05863056,0.03823117,0.00841428,0.01296574,0.0001557528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827135,0.001954556,0.004025717,0.0005318698,0.00006990752,0.00004620341,0.0009977615,0.00008058117,0.00957993],"genre_scores_gemma":[0.9978058,0.0002071893,0.0008265093,0.00007036747,0.00001747351,0.00001101455,0.0003419337,0.00004771925,0.0006721126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006508828,"threshold_uncertainty_score":0.02177417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204791189546769,"score_gpt":0.3455270571162124,"score_spread":0.3250479381615355,"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."}}