{"id":"W2903001438","doi":"10.20944/preprints201808.0284.v1","title":"Identity, structure and compositional analysis of adjuvanted vaccines","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Sanofi (Canada)","funders":"York University; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Adjuvant; Antigen; Fourier transform infrared spectroscopy; Adsorption; Characterization (materials science); Vaccine efficacy; Materials science; Chemical engineering; Chemistry; Kinetics; Nanotechnology; Biology; Immune system; Immunology; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002921711,0.0001942103,0.0003609219,0.0001424664,0.00005461119,0.00001330815,0.0003809837,0.0003310427,0.0005988999],"category_scores_gemma":[0.0001540665,0.0001975677,0.0001997694,0.0001708807,0.0001583071,0.000004922263,0.001362197,0.0001882081,0.000009187227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001529527,"about_ca_system_score_gemma":0.00007586604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006460562,"about_ca_topic_score_gemma":0.0001109464,"domain_scores_codex":[0.9984667,0.0001217513,0.0003802368,0.0007124118,0.0001912784,0.0001276564],"domain_scores_gemma":[0.9983029,0.00001101895,0.0002842183,0.0009764843,0.0003512438,0.00007412277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000072041,0.00006079089,0.6738138,0.00008828062,0.0009665515,3.319979e-7,0.00005046129,0.00008669625,0.3246077,0.0001543404,0.00001465493,0.00008429196],"study_design_scores_gemma":[0.0001542315,0.0000149955,0.7777673,0.00001418098,0.0003360677,0.00000162734,0.000009223347,0.0001600977,0.2196378,0.001367348,0.0003863534,0.0001507397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970631,0.0005772301,0.000986877,0.0001151133,0.0001246277,0.0002815486,0.0004543986,0.00001523005,0.000381878],"genre_scores_gemma":[0.9979177,0.0001802924,0.0003732961,0.00005391385,0.00009837934,0.00002214516,0.00124522,0.00001151405,0.00009757232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1049699,"threshold_uncertainty_score":0.8056576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899624262407873,"score_gpt":0.3500285073018101,"score_spread":0.3010322646777314,"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."}}