{"id":"W2901994125","doi":"10.1074/mcp.ra118.000757","title":"A High-throughput Bead-based Affinity Assay Enables Analysis of Genital Protein Signatures in Women At Risk of HIV Infection","year":2018,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"Fogarty International Center; Canadian Institutes of Health Research; Center for AIDS Research, University of Washington; Science for Life Laboratory; VINNOVA; Knut och Alice Wallenbergs Stiftelse; National Institutes of Health; Government of Canada; Vetenskapsrådet; National Institute of Allergy and Infectious Diseases; Familjen Erling-Perssons Stiftelse","keywords":"Human immunodeficiency virus (HIV); Bead; Throughput; Computational biology; Magnetic bead; Chromatography; Chemistry; Virology; Biology; Computer science; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002614228,0.0002153556,0.0001855705,0.0005888217,0.0002918391,0.0004550325,0.0002404319,0.0004347509,0.001228111],"category_scores_gemma":[0.000542119,0.0002390843,0.0001636559,0.0005010862,0.0001475557,0.0001083205,0.000241975,0.000311031,0.000451184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677786,"about_ca_system_score_gemma":0.0001456387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213072,"about_ca_topic_score_gemma":0.002164185,"domain_scores_codex":[0.999745,0.00005739606,0.0000149765,0.00006869553,0.0000705252,0.0000434395],"domain_scores_gemma":[0.9998455,0.00004880172,0.00003464156,0.00002562279,0.00002157787,0.00002376649],"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":[0.001616981,0.0004216885,0.4298306,0.0001426348,0.0002046729,0.0003084367,0.0002912587,0.0004307691,0.5221962,0.0001765058,0.001154374,0.04322599],"study_design_scores_gemma":[0.00004130254,0.0008521823,0.9099139,0.00001724132,0.0001229377,0.001804368,0.0001677568,0.0022727,0.08211733,0.0002036046,0.002467227,0.00001940546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939696,0.0006981003,0.003598935,0.00005899444,0.0000128848,0.00004297385,0.001003533,0.00006072329,0.0005542354],"genre_scores_gemma":[0.9934766,0.0002481845,0.004139281,0.00007591445,0.00001215031,0.00005907838,0.0008626033,0.000005599937,0.001120604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001228111,"threshold_uncertainty_score":0.004108489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004224613358675245,"score_gpt":0.2196580203736274,"score_spread":0.2154334070149522,"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."}}