{"id":"W2015562215","doi":"10.1517/17530059.2012.634797","title":"Bioinformatics advances for clinical biomarker development","year":2011,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bayer (Canada); University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker; Biomarker discovery; Standardization; Bioinformatics; Clinical Practice; Medicine; Computer science; Data science; Computational biology; Biology; Proteomics","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":[0.03106198,0.001310793,0.001568484,0.003762419,0.000491892,0.005501987,0.002288155,0.00184194,0.006609326],"category_scores_gemma":[0.0780293,0.000646438,0.00160713,0.004677398,0.001811355,0.004841121,0.002576486,0.004308236,0.004726603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199406,"about_ca_system_score_gemma":0.004638148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301085,"about_ca_topic_score_gemma":0.0008875431,"domain_scores_codex":[0.9829335,0.01157355,0.001399684,0.001340288,0.002553943,0.0001990752],"domain_scores_gemma":[0.9190337,0.06251388,0.003491596,0.004664623,0.009168394,0.001127814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006112162,0.0001332727,0.009193695,0.003295042,0.0005847896,0.0004114117,0.0004023112,0.01655363,0.002449461,0.1196732,0.06401677,0.7826751],"study_design_scores_gemma":[0.0003149421,0.0004599412,0.005563942,0.002460389,0.0004583174,0.001662756,0.0003378304,0.09977032,0.006155481,0.5534225,0.3292167,0.0001767744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00541317,0.08279599,0.7989261,0.09756482,0.001781865,0.0003801182,0.001519845,0.002258516,0.009359606],"genre_scores_gemma":[0.08036888,0.07173553,0.825205,0.01178193,0.00449227,0.0008497518,0.002840535,0.0004525237,0.002273624],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03106198,"threshold_uncertainty_score":0.1642734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7448562009410405,"score_gpt":0.6231279349601743,"score_spread":0.1217282659808663,"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."}}