{"id":"W2065925372","doi":"10.1186/1471-2105-15-170","title":"Ensemble analyses improve signatures of tumour hypoxia and reveal inter-platform differences","year":2014,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Center for Translational Molecular Medicine; Government of Ontario","keywords":"DNA microarray; Biomarker discovery; Computer science; Limiting; Biomarker; Transcriptome; Computational biology; Data mining; Bioinformatics; Artificial intelligence; Pattern recognition (psychology); Machine learning; Biology; Proteomics; Gene; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003249941,0.001051502,0.00109406,0.001567432,0.0003628197,0.001297662,0.0003740749,0.0005513127,0.001161835],"category_scores_gemma":[0.006487046,0.0002151713,0.001296257,0.001214214,0.0003023914,0.0009924207,0.0009357054,0.001166937,0.0005386519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050725,"about_ca_system_score_gemma":0.0004185215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005383262,"about_ca_topic_score_gemma":0.001057597,"domain_scores_codex":[0.9986458,0.0003897737,0.0001001333,0.0004631793,0.0002664206,0.0001346669],"domain_scores_gemma":[0.9951546,0.002723885,0.0006204448,0.0007314316,0.000615117,0.0001545167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001758622,0.0003931404,0.1760588,0.0007669994,0.002096917,0.0002338164,0.000433636,0.04912528,0.3327618,0.0009037164,0.003664616,0.4318027],"study_design_scores_gemma":[0.00008520519,0.002008103,0.3743825,0.0001847936,0.002368121,0.001003509,0.0004084216,0.3541568,0.2424594,0.01225925,0.01047404,0.0002098749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7524234,0.003521189,0.237767,0.0006015033,0.000195436,0.0001114598,0.001974295,0.001651114,0.001754664],"genre_scores_gemma":[0.9042413,0.0008306789,0.09064826,0.0001968887,0.0001305432,0.0001036848,0.002713497,0.0002730004,0.0008621638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003249941,"threshold_uncertainty_score":0.01718754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264884552033729,"score_gpt":0.2699888478312685,"score_spread":0.2473400023109312,"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."}}