{"id":"W4235195647","doi":"10.1016/j.jmir.2014.03.004","title":"Letter to the Editor","year":2014,"lang":"en","type":"letter","venue":"Journal of medical imaging and radiation sciences","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Workflow; Medical physics; Perspective (graphical); Computer science; Medicine; Artificial intelligence","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":[0.00169758,0.0007243704,0.001137905,0.0008340135,0.003223361,0.00345746,0.001458828,0.02605611,0.01254353],"category_scores_gemma":[0.02087875,0.0006028684,0.0009216277,0.0004742599,0.001756475,0.002380899,0.001250971,0.0192084,0.007316033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002830582,"about_ca_system_score_gemma":0.003997369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987928,"about_ca_topic_score_gemma":0.004241958,"domain_scores_codex":[0.998369,0.000435592,0.0001223677,0.0002551652,0.0004781743,0.0003396487],"domain_scores_gemma":[0.9972302,0.0009426492,0.0002288072,0.0001098609,0.0008075727,0.0006808308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003587364,0.00002473527,0.0005607069,0.00002961404,0.0000120789,0.005310479,0.0000827724,0.00006847757,0.00006887801,0.00189081,0.9873757,0.004539812],"study_design_scores_gemma":[0.00006882092,0.00004886077,0.00111727,0.0002346831,0.00003082944,0.008610528,0.000460224,0.0004324157,0.0002189629,0.007147793,0.9815778,0.00005186129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0008495881,0.00176893,0.00009605035,0.9232054,0.06030207,0.00001505884,0.00004325771,0.0000394578,0.01368009],"genre_scores_gemma":[0.01147008,0.001798011,0.0002029585,0.8916498,0.05999953,0.00003901895,0.0000328843,0.00003693954,0.03477078],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02605611,"threshold_uncertainty_score":0.04196227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464342187677981,"score_gpt":0.382588357234773,"score_spread":0.3679449353579932,"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."}}