{"id":"W4239674161","doi":"10.1093/neuonc/noq116.s8","title":"-Omics and Prognostic Markers","year":2010,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computational biology; Omics; Biology; Medicine; Data science; Computer science; Bioinformatics","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":[0.002910311,0.0009494102,0.001164493,0.002898313,0.0005115411,0.003119169,0.0006273928,0.0008942219,0.008812633],"category_scores_gemma":[0.009121586,0.0001932513,0.0008279884,0.004828748,0.000895966,0.001307603,0.001531084,0.001363131,0.002441506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005111,"about_ca_system_score_gemma":0.0009911767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167872,"about_ca_topic_score_gemma":0.0007926479,"domain_scores_codex":[0.9979787,0.0008779917,0.0001917588,0.0004309284,0.0003573312,0.0001632287],"domain_scores_gemma":[0.9945964,0.002099353,0.001476549,0.0006989445,0.000840208,0.0002886376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007871548,0.0001056754,0.4851406,0.002207272,0.001960805,0.0007972246,0.0003901196,0.002641921,0.002600361,0.03695406,0.05683948,0.4095753],"study_design_scores_gemma":[0.000138205,0.0004000651,0.2755663,0.00341482,0.001676583,0.004826164,0.0008992309,0.008377024,0.003048376,0.2264119,0.4750821,0.0001593752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2297676,0.3214625,0.08663265,0.1594227,0.009141094,0.0004264108,0.09956321,0.001379927,0.09220403],"genre_scores_gemma":[0.8270919,0.073773,0.034548,0.0178454,0.008776757,0.000476054,0.02829599,0.0002568984,0.00893619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008812633,"threshold_uncertainty_score":0.02948123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007205619705534965,"score_gpt":0.2531591448037866,"score_spread":0.2459535250982516,"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."}}