{"id":"W6950579666","doi":"10.5683/sp3/weo0u4","title":"Cellular Immunity and Seroprevalence of Antibodies against SARS-CoV-2: Characterisation of Three Populations of Food Workers [CISACOV, study data contributed to the CITF Databank]","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval","funders":"","keywords":"Seroprevalence; Serology; Vaccination; Demographics; Cohort; Cohort study; Longitudinal study; Risk of infection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062132,0.0003764239,0.000234191,0.000709871,0.001104509,0.0006607283,0.001031568,0.0006226084,0.006071758],"category_scores_gemma":[0.001512505,0.0002399096,0.0002445012,0.000989221,0.000416677,0.0002154301,0.0004281707,0.0004504412,0.001140349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003044187,"about_ca_system_score_gemma":0.00217153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6502759,"about_ca_topic_score_gemma":0.603024,"domain_scores_codex":[0.999621,0.00005945533,0.0000215786,0.0001131299,0.000072202,0.0001125277],"domain_scores_gemma":[0.9992418,0.00005345561,0.0001258927,0.00007878063,0.0002884546,0.0002115606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005340438,0.0001180593,0.9819195,0.00004521766,0.00007320173,0.0001846983,0.00066172,0.00009089526,0.001080325,0.000065887,0.009896932,0.005329531],"study_design_scores_gemma":[0.00002871832,0.00006346962,0.9982547,0.00001458609,0.000008857646,0.0000761549,0.0002712983,0.00005870893,0.00004292158,0.0000110364,0.001163767,0.000005875556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.957252,0.0002423008,0.0002924362,0.000293776,0.00002756047,0.0003823417,0.03821143,0.00001779376,0.003280291],"genre_scores_gemma":[0.9717391,0.0001714076,0.000282918,0.0003747016,0.00002733736,0.0004587336,0.02279478,0.00001481755,0.004136173],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6502759,"threshold_uncertainty_score":0.7035674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118322790961637,"score_gpt":0.3191714951669221,"score_spread":0.2073392160707584,"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."}}