{"id":"W3168587765","doi":"10.1017/cjn.2021.88","title":"A Machine Learning Analysis of TCGA Expression Data to Finding Signatures for “Normal-Like” IDH-WT Diffuse Gliomas with a Longer Survival","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Glioma; Transcriptome; Grading (engineering); Biology; Gene expression profiling; XIST; Astrocytoma; Gene; Cancer research; Gene expression; X chromosome; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00140657,0.000633273,0.0005412009,0.002619973,0.000392041,0.0007457514,0.0003424955,0.0004465652,0.0007096386],"category_scores_gemma":[0.002951233,0.000118307,0.0008723277,0.001455877,0.000346872,0.000242841,0.0003439952,0.0005323185,0.0004129711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007295642,"about_ca_system_score_gemma":0.0009323903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008452226,"about_ca_topic_score_gemma":0.007940972,"domain_scores_codex":[0.9993131,0.0001983363,0.0000589295,0.000227331,0.0001076803,0.0000945831],"domain_scores_gemma":[0.9990517,0.0004965354,0.0001358071,0.000113046,0.0001416433,0.00006123199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00154085,0.0009624657,0.5369898,0.0004809259,0.001117714,0.0005435795,0.0003498555,0.08876029,0.02344503,0.0009262878,0.008737809,0.3361454],"study_design_scores_gemma":[0.00006530854,0.0005634963,0.1931644,0.00004654442,0.0002155259,0.0005154252,0.0002666378,0.7937767,0.007031448,0.001769491,0.002543885,0.0000411604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647432,0.0006969267,0.02654098,0.0004237969,0.00005617055,0.0001714446,0.005120886,0.0006897901,0.00155699],"genre_scores_gemma":[0.9809299,0.0001366687,0.01225849,0.00004097461,0.00002184117,0.0001053856,0.00598541,0.00001814247,0.0005031413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008452226,"threshold_uncertainty_score":0.01680607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06408675740436409,"score_gpt":0.3100528598327875,"score_spread":0.2459661024284234,"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."}}