{"id":"W2107136594","doi":"10.4155/bio.13.271","title":"Using Phosphoproteomics to Monitor Disregulated Signaling Networks in Cardiac Disease Preceding Heart Failure","year":2013,"lang":"en","type":"editorial","venue":"Bioanalysis","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MEDLINE; Medicine; Heart failure; Library science; Internal medicine; Computer science; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006680951,0.0007119736,0.002251883,0.0006924751,0.00029415,0.0004647813,0.0002211762,0.001175315,0.00004755506],"category_scores_gemma":[0.0005253608,0.0006412255,0.00163409,0.001557418,0.00005953289,0.0001332693,0.000223566,0.00112401,0.00002496996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009207412,"about_ca_system_score_gemma":0.0003373408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182182,"about_ca_topic_score_gemma":0.00002612458,"domain_scores_codex":[0.9956625,0.0001561879,0.001006642,0.001158324,0.001193123,0.0008232544],"domain_scores_gemma":[0.9971615,0.0002392225,0.0002889018,0.0009159718,0.0005672337,0.0008271805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007558428,0.0002069077,0.01493814,0.0007630615,0.003501942,0.00003628687,0.0001827061,0.32076,0.01862863,0.000001518098,0.6368455,0.003379524],"study_design_scores_gemma":[0.002293448,0.0001720454,0.002483577,0.008359651,0.0167408,0.000002479193,0.0005290307,0.5543667,0.001430045,0.00001682367,0.4105037,0.003101694],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.225033,0.02837154,0.003647051,0.0006680485,0.7377419,0.003749586,0.0004472637,0.0003000957,0.00004139934],"genre_scores_gemma":[0.215059,0.0005251116,0.01485478,0.00005138318,0.7670798,0.0001531855,0.001295536,0.0002985616,0.0006826404],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2336067,"threshold_uncertainty_score":0.9996039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242388646680755,"score_gpt":0.2759971771843461,"score_spread":0.2635732907175386,"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."}}