{"id":"W4224280391","doi":"10.1097/rli.0000000000000867","title":"From Dose Reduction to Contrast Maximization","year":2022,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Reduction (mathematics); Contrast (vision); Maximization; Computer science; Mathematics; Artificial intelligence; Mathematical optimization","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":[0.001046956,0.0008976781,0.0004425968,0.0003433183,0.0001268105,0.0005348015,0.0008112558,0.0008092403,0.0017969],"category_scores_gemma":[0.002992796,0.000310059,0.0004259589,0.0002155604,0.0004502274,0.0005724658,0.0007362419,0.0005446608,0.0004541793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006933387,"about_ca_system_score_gemma":0.0005295491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007691661,"about_ca_topic_score_gemma":0.0007324426,"domain_scores_codex":[0.9996131,0.0001433553,0.00001243595,0.00008013974,0.0001227936,0.00002831583],"domain_scores_gemma":[0.9993886,0.0003629827,0.00009138225,0.00005441483,0.00008414217,0.00001851511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000760945,0.0002148573,0.002951075,0.0004498821,0.0001880265,0.0001028609,0.0001086136,0.4920369,0.05068865,0.007151138,0.002851963,0.442495],"study_design_scores_gemma":[0.00007784321,0.0003099132,0.001160036,0.00004534366,0.00005109695,0.0002262619,0.00001228826,0.9550521,0.03397805,0.00493919,0.00413038,0.00001744638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07360424,0.001420724,0.9153368,0.0006423452,0.00005623684,0.00014656,0.0001017589,0.001381918,0.007309273],"genre_scores_gemma":[0.6512867,0.0005351829,0.3423781,0.0004521691,0.00006671676,0.0001869917,0.0001647965,0.0003978039,0.004531655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0017969,"threshold_uncertainty_score":0.006011248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986675005364214,"score_gpt":0.2744330888360821,"score_spread":0.24456633878244,"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."}}