{"id":"W1918798300","doi":"10.21083/surg.v1i2.420","title":"Development of physicochemical methods for analysis of pandemic influenza vaccine","year":2008,"lang":"en","type":"article","venue":"SURG Journal","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada","keywords":"Radial immunodiffusion; Potency; Chromatography; High-performance liquid chromatography; Chemistry; Influenza vaccine; Pandemic influenza; Resolution (logic); Coronavirus disease 2019 (COVID-19); Virology; Virus; Biology; Antibody; Immunology; Biochemistry; In vitro; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346047,0.0001199254,0.0008253424,0.0005093539,0.0001244573,0.000002828708,0.0001091473,0.0000594039,0.00008719635],"category_scores_gemma":[0.0007101517,0.00008943046,0.0003897369,0.0007192324,0.0000845674,0.0000528766,0.0000602683,0.0002497022,0.000001228289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049116,"about_ca_system_score_gemma":0.0004389381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005418168,"about_ca_topic_score_gemma":0.00000238836,"domain_scores_codex":[0.9983667,0.00007371309,0.0007687149,0.00012749,0.000385712,0.0002776952],"domain_scores_gemma":[0.9982273,0.0004050356,0.000307684,0.0001680492,0.0007571513,0.0001347629],"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":[0.001632891,0.0003094672,0.3348371,0.0001840789,0.009338347,0.0000112263,0.00291357,0.00006406504,0.5653511,0.00001931947,0.0009512808,0.08438753],"study_design_scores_gemma":[0.006602382,0.0003126898,0.3542572,0.0001963651,0.002510086,0.0001404317,0.000435522,0.0008559625,0.5815291,0.0001462559,0.05274208,0.0002719216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851215,0.001770544,0.01266249,0.00003414659,0.00003743262,0.0001579332,0.000007002717,0.000009272885,0.0001996371],"genre_scores_gemma":[0.6069936,0.0007238084,0.3916782,0.0002172791,0.0002190287,0.000024642,0.00001060143,0.00002581048,0.0001070931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3790157,"threshold_uncertainty_score":0.3646868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2544793041831264,"score_gpt":0.5104688169940845,"score_spread":0.2559895128109581,"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."}}