{"id":"W1567524883","doi":"10.1155/2015/504362","title":"Systems Biology Approaches to Mining High Throughput Biological Data","year":2015,"lang":"en","type":"editorial","venue":"BioMed Research International","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computational biology; Throughput; Biology; Computer science; Systems biology; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289032,0.0002822576,0.0003013428,0.0004769585,0.0001276793,0.0001949195,0.003126717,0.001274679,0.00005461057],"category_scores_gemma":[0.003717337,0.0002294947,0.0000614181,0.0003301392,0.0002944546,0.000009415374,0.002727672,0.0005411006,0.000127029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002489,"about_ca_system_score_gemma":0.001008783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001585096,"about_ca_topic_score_gemma":0.00001931856,"domain_scores_codex":[0.9956321,0.0005853734,0.0004391934,0.00149601,0.001301871,0.0005454927],"domain_scores_gemma":[0.9968959,0.0001788537,0.0001664853,0.00145491,0.0009928377,0.0003110269],"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":[0.0002105004,0.00008735682,0.00003939679,0.00001958358,0.0001446404,0.000002902393,0.00002529418,0.000009476176,0.0295327,0.0003244269,0.967506,0.00209775],"study_design_scores_gemma":[0.0004600637,0.0003372391,0.00002573892,0.00005455009,0.000005625449,0.000002691432,0.0001893467,0.0001490132,0.001008898,0.0001036866,0.9973973,0.0002658391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.002090258,0.0023676,0.002422615,0.002335615,0.9811376,0.000763026,0.004618272,0.00004393004,0.004221044],"genre_scores_gemma":[0.02942988,0.0008251786,0.001674204,0.00004648322,0.8892304,0.0004341071,0.06984059,0.00006626794,0.008452876],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09190723,"threshold_uncertainty_score":0.9831491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6163379328228301,"score_gpt":0.4780277232959954,"score_spread":0.1383102095268348,"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."}}