{"id":"W3122174162","doi":"10.1093/noajnl/vdaa179","title":"Artificial Intelligence, Radiomics, and Deep Learning in Neuro-Oncology","year":2020,"lang":"en","type":"editorial","venue":"Neuro-Oncology Advances","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute; Princess Margaret Cancer Centre; Toronto Western Hospital; University Health Network","funders":"Deutsche Forschungsgemeinschaft","keywords":"Radiomics; Artificial intelligence; Deep learning; Computer science; Medicine","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0009411162,0.0006722265,0.002017525,0.0005717654,0.0002227589,0.00006191419,0.000440174,0.001445676,0.00009086217],"category_scores_gemma":[0.0210867,0.0006615733,0.0001968563,0.000536863,0.0009458826,0.0001942627,0.0003313132,0.008609856,0.00006029632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003848146,"about_ca_system_score_gemma":0.001025557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003678681,"about_ca_topic_score_gemma":0.0001048581,"domain_scores_codex":[0.9949028,0.0008137078,0.001272171,0.001486878,0.0006412928,0.0008831843],"domain_scores_gemma":[0.9908516,0.007440836,0.0006683053,0.0003372874,0.0001616175,0.0005403062],"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":[0.001637904,0.0003228791,0.002969432,0.000526213,0.00009076283,0.005671075,0.0009224088,0.0008267838,0.005133667,0.0003164379,0.1221723,0.8594101],"study_design_scores_gemma":[0.0009138383,0.00273188,0.00008569984,0.000104533,0.0002249297,0.0003016054,0.0002845267,0.01018856,0.0001802625,0.00120942,0.9833141,0.0004606626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.005222066,0.01450658,0.003286474,0.02649687,0.9425834,0.001455129,0.00002479615,0.0005214196,0.005903203],"genre_scores_gemma":[0.01906445,0.04503287,0.0092627,0.008767779,0.9164641,0.0002225675,0.0005455529,0.000427882,0.0002120363],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.8611418,"threshold_uncertainty_score":0.9998506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374843904333573,"score_gpt":0.329503696663984,"score_spread":0.3157552576206483,"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."}}