{"id":"W2808888481","doi":"10.1016/s0167-8140(18)31291-x","title":"PO-0981: Results from the Image Biomarker Standardisation Initiative","year":2018,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Engineering and Physical Sciences Research Council","keywords":"Biomarker; Computer science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000657159,0.0001054235,0.0002424025,0.00003898699,0.0001859061,0.00002630184,0.00006999235,0.0001024828,0.0002873948],"category_scores_gemma":[0.0004122452,0.0000650136,0.00004476084,0.00009839475,0.000638182,0.00005749787,0.00001807541,0.0002482943,0.00001266321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664253,"about_ca_system_score_gemma":0.0001298882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001487987,"about_ca_topic_score_gemma":0.00003406347,"domain_scores_codex":[0.9990404,0.000194261,0.0002198127,0.0002363219,0.0001331243,0.000176055],"domain_scores_gemma":[0.9988981,0.0006436029,0.00009852033,0.0001906072,0.00007461938,0.00009448772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004306527,0.0001441739,0.008442754,0.00001007332,0.0004147811,0.00009698667,0.01452498,8.863931e-7,0.02527922,0.0004800489,0.07647888,0.8698207],"study_design_scores_gemma":[0.008811915,0.001389496,0.1412863,0.00006235449,0.00009238887,0.0001307097,0.0006529628,0.006445257,0.0009529683,0.001079518,0.8389403,0.0001557926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360948,0.002029249,0.03487551,0.1012062,0.0008181122,0.000469595,0.00008767502,0.00009478336,0.02432411],"genre_scores_gemma":[0.967907,0.001294298,0.01128252,0.01743711,0.001713603,0.00000952026,0.00007052974,0.00002554265,0.0002599354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8696649,"threshold_uncertainty_score":0.3146771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452930687874532,"score_gpt":0.3532770493852327,"score_spread":0.3287477425064874,"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."}}