{"id":"W4387661375","doi":"10.2174/0118715230269593230928095153","title":"Anti- SARS-CoV-2 IgG and IgM Levels in Iraqi General Population","year":2023,"lang":"en","type":"article","venue":"Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibody; Population; Medicine; Immunology; Immunoassay; Immunity; Immune system; Internal medicine; Biology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001283041,0.0005862878,0.001073255,0.0005989894,0.0001752372,0.0000611233,0.0004468067,0.0005696907,0.00006457411],"category_scores_gemma":[0.0004175714,0.0005790575,0.0001776678,0.001254594,0.0003570525,0.0002732334,0.0003104835,0.001062115,0.0001071272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793403,"about_ca_system_score_gemma":0.0003613948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006762425,"about_ca_topic_score_gemma":0.0001216111,"domain_scores_codex":[0.9951421,0.000127821,0.001140858,0.001089146,0.001312205,0.001187887],"domain_scores_gemma":[0.9986159,0.0001275686,0.0002289141,0.0007486994,0.0001347572,0.0001442074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008612596,0.0001422998,0.500715,0.0005912139,0.00008751111,0.003005603,0.0002627911,0.00001014454,0.4929543,0.00002365177,0.0007766085,0.001344687],"study_design_scores_gemma":[0.003450419,0.00005102944,0.6935412,0.0007684526,0.00003101818,0.0001734576,0.0002484211,0.001642727,0.2908366,0.00009721437,0.008729463,0.000430051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957393,0.0007174464,0.00001123271,0.000510362,0.0003381451,0.000479549,0.0000130225,0.0002167019,0.001974272],"genre_scores_gemma":[0.9935381,0.000318299,0.00005996436,0.004985482,0.0006622453,0.00004947509,0.00008070959,0.00009810143,0.0002076033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2021178,"threshold_uncertainty_score":0.9996661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05617202385496294,"score_gpt":0.3568486047229451,"score_spread":0.3006765808679822,"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."}}