{"id":"W3168115304","doi":"10.1158/0008-5472.can-21-0950","title":"NCI Imaging Data Commons","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Documentation; Cloud computing; Data science; Commons; Computer science; Cyberinfrastructure; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001266035,0.00006977051,0.0001726924,0.00009853734,0.0001887395,0.00007266958,0.000353181,0.00002908053,0.001171796],"category_scores_gemma":[0.001390986,0.00006169522,0.00003134816,0.0004513848,0.00022679,0.00008705215,0.0006132647,0.001091077,0.00008192176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182239,"about_ca_system_score_gemma":0.0007905946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004761616,"about_ca_topic_score_gemma":0.00004882474,"domain_scores_codex":[0.9982488,0.0001527132,0.0001395392,0.0003907144,0.0006296517,0.000438629],"domain_scores_gemma":[0.9981949,0.0001991207,0.00001645559,0.001025839,0.000300409,0.0002633228],"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":[0.00006315513,0.0001573875,0.1126383,0.0002275526,0.00009741241,0.002116348,0.0002810615,0.00001452602,0.08610909,0.00115718,0.5081761,0.2889619],"study_design_scores_gemma":[0.001406382,0.00002625796,0.02162671,0.0004251803,0.00004195159,0.0003257175,0.0004198849,0.01578416,0.005413319,0.0004610046,0.9539195,0.0001499495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6455831,0.02590715,0.002412072,0.2592319,0.0009666195,0.0004831124,0.00008521774,0.0002001183,0.06513072],"genre_scores_gemma":[0.986322,0.001187568,0.001676008,0.002237479,0.0009405856,0.00002848707,0.0002299712,0.00004497631,0.007332958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4457433,"threshold_uncertainty_score":0.9997413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610928151742399,"score_gpt":0.5090268107221984,"score_spread":0.3479339955479585,"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."}}