{"id":"W2158010301","doi":"10.1186/1477-5956-7-15","title":"Development of reverse phase protein microarrays for the validation of clusterin, a mid-abundant blood biomarker","year":2009,"lang":"en","type":"article","venue":"Proteome Science","topic":"Clusterin in disease pathology","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute; Jewish General Hospital","funders":"","keywords":"Clusterin; Protein microarray; Biomarker; Antibody microarray; Protein Array Analysis; Proteomics; Microarray; Blood proteins; DNA microarray; Biomarker discovery; Biology; Chemistry; Antibody; Immunology; Gene; Biochemistry; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207757,0.0007838353,0.0003629793,0.0005612254,0.0002447006,0.0003649324,0.0005360955,0.000731593,0.001442872],"category_scores_gemma":[0.001464649,0.0003060671,0.0003103651,0.0003050929,0.0003280603,0.0003535154,0.0003028871,0.0007312783,0.00107786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122795,"about_ca_system_score_gemma":0.0002927308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001662558,"about_ca_topic_score_gemma":0.000279602,"domain_scores_codex":[0.9990502,0.0002740873,0.00006377684,0.0002180141,0.0003403886,0.00005342651],"domain_scores_gemma":[0.9992022,0.0003675976,0.00009562499,0.00008628015,0.0002020398,0.00004630185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000415887,0.00002199999,0.0001560217,0.00003037997,0.00000395977,0.0000130227,0.000007662105,0.00009769259,0.9973512,0.00007245296,0.00006815797,0.002135945],"study_design_scores_gemma":[0.00001307694,0.000339037,0.00202842,0.000006986391,0.0000142433,0.0001657566,0.000008682748,0.003675944,0.9920244,0.0001513603,0.001564751,0.000007401675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5509238,0.001990468,0.437907,0.0006648995,0.0002063685,0.0008480752,0.001685091,0.001484174,0.004290013],"genre_scores_gemma":[0.3722104,0.001283697,0.6182094,0.0003637687,0.00007738153,0.001451747,0.002622413,0.00008781792,0.003693528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001442872,"threshold_uncertainty_score":0.006387293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04864995863827769,"score_gpt":0.3524227332678708,"score_spread":0.3037727746295931,"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."}}