{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004816492,0.001147018,0.0007166629,0.001736743,0.0008404708,0.002451762,0.001440843,0.002051737,0.06163949],"category_scores_gemma":[0.0007217948,0.0004918149,0.0005756406,0.001308483,0.0004384144,0.001181413,0.001142547,0.002135547,0.0847325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007393439,"about_ca_system_score_gemma":0.0006403978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005163907,"about_ca_topic_score_gemma":0.000892522,"domain_scores_codex":[0.9996026,0.00003249942,0.00001900841,0.00009390324,0.0002238135,0.00002814197],"domain_scores_gemma":[0.9996516,0.00005256225,0.00001642209,0.00004039007,0.0001587088,0.00008031513],"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":[0.0000638051,0.00005420752,0.0001165395,0.001068321,0.00002312398,0.0002487859,0.00006939505,0.0001797178,0.01804305,0.01464119,0.5692159,0.396276],"study_design_scores_gemma":[0.000005402892,0.00002023936,0.000232884,0.00008999514,0.000004748962,0.0006794301,0.000008849505,0.0000803911,0.001288345,0.002192045,0.9953902,0.000007331888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001867736,0.4193999,0.0324339,0.01225539,0.04048635,0.0002617702,0.001959815,0.003440104,0.487895],"genre_scores_gemma":[0.008863837,0.1658673,0.01969294,0.007048778,0.01026915,0.0001585788,0.003323792,0.0003732422,0.7844023],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06163949,"threshold_uncertainty_score":0.2062047,"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."}}