{"id":"W3205632731","doi":"10.3390/jpm11101025","title":"Classification and Visualization of Chemotherapy-Induced Cognitive Impairment in Volumetric Convolutional Neural Networks","year":2021,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Chiayi Chang Gung Memorial Hospital; Ministry of Science and Technology, Taiwan; Chang Gung University","keywords":"Breast cancer; Cognition; Medicine; Recall; Chemotherapy; Temporal lobe; Cancer; Cognitive impairment; Audiology; Deep learning; Resting state fMRI; Neuroscience; Oncology; Internal medicine; Radiology; Psychology; Artificial intelligence; Computer science; Cognitive psychology; Psychiatry","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":[0.0007367031,0.0001618281,0.0006520847,0.000507751,0.00004245475,0.000003745335,0.00003544455,0.00009923762,0.0003077742],"category_scores_gemma":[0.0008494508,0.0001313276,0.00008928925,0.0009673428,0.0002559042,0.000103056,0.0000196322,0.0002929646,4.384527e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249091,"about_ca_system_score_gemma":0.0002333697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002885857,"about_ca_topic_score_gemma":0.00001045324,"domain_scores_codex":[0.9981159,0.0001665964,0.0007647607,0.0001619711,0.0006024207,0.0001883515],"domain_scores_gemma":[0.9974657,0.0003609407,0.0006082514,0.0000656849,0.001358775,0.000140684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01658128,0.002486383,0.8512856,0.0007442134,0.002005933,0.0004035936,0.0107964,0.00007651119,0.07562674,0.0003964984,0.004597906,0.03499894],"study_design_scores_gemma":[0.0257223,0.002807522,0.9439825,0.001826159,0.0007218395,0.0008967137,0.007297288,0.01561699,0.0007810518,0.0000380549,0.000177995,0.0001315961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827754,0.009273202,0.003065462,0.004015568,0.0002918071,0.0003421114,0.000003985931,0.00000801676,0.0002244277],"genre_scores_gemma":[0.9945069,0.003914643,0.00009411899,0.0008728148,0.0003983002,0.000005272464,0.00002799963,0.00001781075,0.0001621353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09269689,"threshold_uncertainty_score":0.5355385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402383972848991,"score_gpt":0.339168693871661,"score_spread":0.3051448541431711,"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."}}