{"id":"W4388590676","doi":"10.1093/neuonc/noad179.0476","title":"EPCO-13. CNMF-SNS, A FRAMEWORK FOR UNSUPERVISED INTEGRATION OF MULTIOMICS DATA, IDENTIFIES INVASION AND RECURRENCE ASSOCIATED PROGRAMS IN GBM","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Computational biology; Computer science; Data integration; Biology; Data mining; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.002842077,0.0008540062,0.0006958877,0.001791243,0.0006003003,0.001103635,0.001287134,0.001165552,0.002161474],"category_scores_gemma":[0.007166282,0.0004952944,0.001667774,0.001050511,0.0008075194,0.0009951541,0.001820307,0.001345011,0.0006477692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096968,"about_ca_system_score_gemma":0.001967954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127749,"about_ca_topic_score_gemma":0.02242439,"domain_scores_codex":[0.9989811,0.0003984139,0.00004858106,0.000273443,0.0002055202,0.00009291389],"domain_scores_gemma":[0.9981034,0.000787319,0.0002365913,0.0002214678,0.0004806817,0.0001705767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004112679,0.0002778367,0.01242494,0.0005309603,0.0004154791,0.0003443198,0.0005014089,0.6774188,0.01295404,0.06921984,0.01476221,0.2107389],"study_design_scores_gemma":[0.000008019472,0.00002139791,0.0007057446,0.00001499551,0.000008744511,0.00002829112,0.00001850263,0.9821998,0.0005200133,0.01473898,0.001725327,0.0000101387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009610642,0.0001575466,0.9869471,0.0001591788,0.00001984808,0.00006608095,0.000730649,0.001798585,0.0005103793],"genre_scores_gemma":[0.1944399,0.0001902293,0.7969443,0.0002391353,0.00007728927,0.0004268304,0.005261512,0.0006313291,0.001789438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0127749,"threshold_uncertainty_score":0.02540106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679155015222803,"score_gpt":0.3222287689249679,"score_spread":0.2554372187727399,"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."}}