{"id":"W4394414217","doi":"10.6084/m9.figshare.22608142","title":"Additional file 2 of Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada; Western University","funders":"","keywords":"Glioma; Identification (biology); Liquid biopsy; Computational biology; Medicine; Oncology; Internal medicine; Biology; Cancer research; Cancer; Botany","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009945802,0.001449574,0.001363382,0.001523461,0.000682351,0.00186374,0.00172825,0.001905134,0.3901601],"category_scores_gemma":[0.01221348,0.0004724474,0.001330314,0.002101298,0.000308754,0.001089284,0.0009181226,0.00139775,0.07812117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303852,"about_ca_system_score_gemma":0.00184305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009738637,"about_ca_topic_score_gemma":0.02201406,"domain_scores_codex":[0.999386,0.00008475983,0.00008861146,0.0002282174,0.000111034,0.0001013345],"domain_scores_gemma":[0.9954655,0.002815586,0.0003651972,0.000465982,0.0006657265,0.0002221763],"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":[0.0004466645,0.00009574524,0.004219093,0.002688619,0.0001093149,0.00008163534,0.00002752636,0.0006183143,0.0002578791,0.0003760101,0.985415,0.005664282],"study_design_scores_gemma":[0.005695461,0.000337689,0.04169838,0.002884489,0.0004845622,0.0008286416,0.0002429446,0.00325145,0.001592564,0.007738543,0.9351176,0.0001277387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000158114,0.0000371788,0.00006796869,0.00005610619,0.00001388209,0.00002130768,0.9993336,0.00009504483,0.0002167753],"genre_scores_gemma":[0.001818029,0.00006276791,0.0004789875,0.0001592489,0.000024827,0.0002643185,0.9959417,0.00007187892,0.001178217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3901601,"threshold_uncertainty_score":0.8698626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547866479074675,"score_gpt":0.303604113518927,"score_spread":0.2781254487281803,"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."}}