{"id":"W4408727992","doi":"10.1016/j.biologicals.2025.101821","title":"Global availability of critical reagents for biologicals testing - Current status, challenges and possible solutions","year":2025,"lang":"en","type":"article","venue":"Biologicals","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Humane Society International","keywords":"Current (fluid); Biochemical engineering; Risk analysis (engineering); Computational biology; Data science; Biology; Medicine; Computer science; Engineering; Oceanography; Geology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001116319,0.0001962532,0.0005297743,0.00004529968,0.0001960091,0.00001000317,0.0001863092,0.0004734519,0.0001081919],"category_scores_gemma":[0.009029916,0.0001228632,0.0001309411,0.0001962731,0.001332787,0.00002845609,0.0002755363,0.0001494049,0.000006269247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003555855,"about_ca_system_score_gemma":0.00005735871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150624,"about_ca_topic_score_gemma":0.000005113696,"domain_scores_codex":[0.9978471,0.0004967066,0.00051845,0.0005398348,0.00002428676,0.0005735731],"domain_scores_gemma":[0.9967706,0.002621735,0.00009678305,0.0002411482,0.0002154919,0.00005428425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003715016,0.001488546,0.05001349,0.0004787834,0.0002188377,8.973336e-7,0.00002717505,3.030324e-7,0.06788827,0.1991969,0.00232028,0.677995],"study_design_scores_gemma":[0.001705174,0.002167964,0.6671163,0.0002749478,0.0003135911,0.00001242669,0.0002456156,0.00004481867,0.01257432,0.2298625,0.08513083,0.0005515273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4036852,0.5661851,0.007710766,0.007064074,0.002010276,0.001769649,0.002619106,0.0003069208,0.008648849],"genre_scores_gemma":[0.9864836,0.003711213,0.009370865,0.0002166356,0.00002690973,0.00006227149,0.00002966879,0.000003279712,0.00009554655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6774434,"threshold_uncertainty_score":0.9993175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2063685600375876,"score_gpt":0.4131488260316951,"score_spread":0.2067802659941075,"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."}}