{"id":"W4206295211","doi":"10.1385/1597452149","title":"Cardiovascular Proteomics","year":2006,"lang":"en","type":"book","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; University of California, San Diego; University of Toronto; Universiteit van Amsterdam; Centro Nacional de Investigaciones Cardiovasculares; Fudan University; Universiteit Antwerpen; Queen's University; Syddansk Universitet; University College Dublin; Consejo Superior de Investigaciones Científicas; University of South Dakota; Institut National de la Santé et de la Recherche Médicale; Johns Hopkins University; Rensselaer Polytechnic Institute","keywords":"Proteomics; Computer science; Computational biology; Chemistry; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008362452,0.0004782839,0.0005817531,0.00005248524,0.0001876902,0.00007285595,0.0006428297,0.0006517375,0.00008478387],"category_scores_gemma":[0.00000442691,0.0005295385,0.0006290578,0.000005434893,0.000154845,0.00002908868,0.0002514439,0.0007879843,0.00002106385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479385,"about_ca_system_score_gemma":0.0001144919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001248003,"about_ca_topic_score_gemma":0.000008377237,"domain_scores_codex":[0.9981652,0.000008556265,0.0004298176,0.0006919578,0.0003480112,0.0003564811],"domain_scores_gemma":[0.9977974,0.00001947663,0.0002683885,0.001739184,0.0000939189,0.00008163109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003677068,0.00008965351,4.827164e-7,0.002499004,0.001530193,0.0001133344,0.0001146095,0.0003849469,0.002936248,0.5290455,0.365322,0.09792727],"study_design_scores_gemma":[0.0001809245,0.000005766524,7.050233e-8,0.0001600892,0.0002137859,0.000008567305,5.734248e-7,0.00002335419,0.02919966,0.03986133,0.9298128,0.0005331122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007705003,0.004848692,0.01162992,0.000002411855,0.00002795572,0.0007482165,0.0002041395,0.0006275267,0.9819034],"genre_scores_gemma":[0.00003472721,0.0002360102,0.01558274,0.00002528068,0.0009010241,0.001528812,0.0004225275,0.0002046764,0.9810642],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5644908,"threshold_uncertainty_score":0.9997156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008461777000035,"score_gpt":0.2536962577411188,"score_spread":0.2236116399711184,"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."}}