{"id":"W4414320722","doi":"10.29173/hsi501","title":"Proteomic Profiling of IGFBP2: Modulation and Biomarker Potential in Atherosclerotic Cardiovascular Disease Prevention","year":2025,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Biomarker; Atherosclerotic cardiovascular disease; Population; Disease; Lipoprotein; Receptor; LDL receptor; Cholesterol; ATHEROSCLEROTIC VASCULAR DISEASE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008752524,0.00007752443,0.0001454135,0.0001434309,0.00009747111,0.00001537224,0.0001055089,0.00004457231,8.371721e-7],"category_scores_gemma":[0.00005520749,0.00007692004,0.00006667285,0.000321311,0.0003098669,0.00001490492,0.0000820282,0.00004382931,2.784937e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003136461,"about_ca_system_score_gemma":0.0007129852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009383649,"about_ca_topic_score_gemma":0.000006678972,"domain_scores_codex":[0.9989408,0.00005041856,0.0002347298,0.0003662015,0.0001876906,0.0002202053],"domain_scores_gemma":[0.9994951,0.000001536895,0.00007376741,0.0002804311,0.0000620019,0.00008717037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001457258,0.0000955237,0.01660788,0.0003865013,0.00003462447,3.358578e-7,0.0001544931,0.002365222,0.8836442,0.0001843843,0.00004415351,0.09633701],"study_design_scores_gemma":[0.0008851281,0.00008667383,0.9505074,0.0001863316,0.00002967385,0.00000161269,0.00009885932,0.00709384,0.03982158,0.000464662,0.0006792382,0.0001449805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865697,0.00570729,0.006207134,0.0001071967,0.0007232253,0.0006619252,0.000002846127,0.000005157686,0.00001551565],"genre_scores_gemma":[0.9975769,0.0009946103,0.001124915,0.0000648589,0.0001451741,0.00004854141,0.000009988199,0.000004967695,0.00003003176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9338995,"threshold_uncertainty_score":0.3136708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614823688617089,"score_gpt":0.3344943332602619,"score_spread":0.298346096374091,"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."}}