{"id":"W3181510741","doi":"10.1139/cjm-2020-0535","title":"Vaccinomics-driven proteome-wide screening of <i>Haemophilus influenzae</i> for the prediction of common putative vaccine candidates","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haemophilus influenzae; Biology; Proteome; Epitope; Virulence; Genome; Computational biology; Serotype; Comparative genomics; Microbiology; Genetics; Virology; Antigen; Genomics; Gene; Bacteria","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":{"n_in":0,"stratum":"venue_new","weight":2684.24666666667,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Proteome wide screening for vaccine candidates; the object is bacterial immunogenicity."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"The work predicts vaccine candidates for Haemophilus influenzae rather than studying research practice."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"In silico vaccine-candidate discovery for H. influenzae is biomedical domain science using methods, not studying methods."}},"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004107814,0.000417788,0.0005990232,0.0004218052,0.000264725,0.0005438231,0.0002965958,0.0002819225,0.0005448662],"category_scores_gemma":[0.0003445689,0.0001779807,0.0004930052,0.0004323103,0.0001310725,0.0001999395,0.0002560409,0.0003922592,0.0003381375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00042665,"about_ca_system_score_gemma":0.0004837276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160689,"about_ca_topic_score_gemma":0.002008074,"domain_scores_codex":[0.9998511,0.00002048836,0.000007791091,0.00004458252,0.00004908518,0.000026999],"domain_scores_gemma":[0.999925,0.00001665058,0.00001573087,0.000005923785,0.00002327108,0.00001338572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003838607,0.00009491166,0.00391365,0.0001341331,0.00004937014,0.0001073321,0.00003232577,0.00145603,0.988734,0.0001616568,0.0003829385,0.004549798],"study_design_scores_gemma":[0.000089629,0.001369711,0.09057568,0.00003587269,0.0002797236,0.0007562246,0.0003087059,0.1074776,0.7885106,0.0005064307,0.0100307,0.00005915534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830648,0.0008781024,0.009340277,0.0001289793,0.00003298461,0.0001392067,0.005075548,0.0003475395,0.0009925695],"genre_scores_gemma":[0.9603832,0.0008809033,0.0227074,0.0001303673,0.0000150131,0.0001400497,0.01451339,0.00008088315,0.001148715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001160689,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381220579143345,"score_gpt":0.2195939817391991,"score_spread":0.2057817759477656,"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."}}