{"id":"W4243066199","doi":"10.1007/978-1-62703-589-7","title":"Immunoproteomics","year":2013,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005080596,0.0003144182,0.001013147,0.0002047328,0.00001734722,0.000008340809,0.000185627,0.001371011,0.0006431253],"category_scores_gemma":[0.002023322,0.0002519268,0.0002222936,0.00008681462,0.0002323614,0.000006707593,0.0001578951,0.0008368827,0.0001961128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003638,"about_ca_system_score_gemma":0.0002656725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000200438,"about_ca_topic_score_gemma":8.251804e-7,"domain_scores_codex":[0.9982094,0.0003977008,0.0004871584,0.0004608173,0.0000750067,0.0003698968],"domain_scores_gemma":[0.9986855,0.000462995,0.0001322847,0.000536903,0.0000785878,0.0001036752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00028775,0.0007597777,0.002500519,0.00115224,0.0006768159,0.001691584,0.0001446373,0.000006628779,0.191913,0.600992,0.03125641,0.1686186],"study_design_scores_gemma":[0.001389479,0.0009021168,0.0002827946,0.0003365814,0.0001649644,0.0001528838,0.00001030826,0.00009816158,0.008279279,0.5242773,0.4634838,0.0006222897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002352894,0.00657137,0.575173,0.0003613635,0.0002792488,0.0009611372,0.00001019649,0.00005051546,0.4163579],"genre_scores_gemma":[0.00001162846,0.0006560427,0.8668782,0.002040519,0.00005447934,0.0001223697,0.0002000906,0.00005537664,0.1299813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4322274,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819298180751684,"score_gpt":0.4078567553177169,"score_spread":0.3796637735102,"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."}}