{"id":"W3183165891","doi":"","title":"Dried blood spot (DBS) Collection for SARS-CoV-2 antibodies","year":2021,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood collection; Barcode; Dried blood spot; Data collection; Medicine; Computer science; Chromatography; Medical emergency; Chemistry; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004050958,0.001062404,0.0006046189,0.001530701,0.001382099,0.000977988,0.001303233,0.0006241915,0.007321639],"category_scores_gemma":[0.003096223,0.0003105235,0.0006553618,0.001203577,0.0006258115,0.0002746015,0.0006048569,0.0004912546,0.002951588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511163,"about_ca_system_score_gemma":0.003465575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04657539,"about_ca_topic_score_gemma":0.06407635,"domain_scores_codex":[0.9953532,0.0008883498,0.0004214988,0.0005059966,0.002560953,0.0002700255],"domain_scores_gemma":[0.9969743,0.0003010036,0.0003615006,0.0002155309,0.001960381,0.000187221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005816895,0.002372882,0.3882265,0.003373866,0.0006207619,0.002561326,0.002739254,0.001888285,0.2428551,0.001549268,0.05436679,0.293629],"study_design_scores_gemma":[0.0005303923,0.00662932,0.569155,0.0008782706,0.0006923478,0.006131993,0.00140166,0.004363405,0.2687217,0.0006020588,0.1407061,0.0001877018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.802581,0.007167348,0.09330892,0.001967408,0.0008411372,0.02060124,0.03694481,0.003599589,0.03298851],"genre_scores_gemma":[0.7528448,0.005431773,0.1796742,0.003128095,0.0003032026,0.00547674,0.02770555,0.0003923591,0.02504334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04657539,"threshold_uncertainty_score":0.09260857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0703962672082521,"score_gpt":0.32898697726661,"score_spread":0.2585907100583579,"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."}}