{"id":"W4214612671","doi":"10.3389/ijph.2022.1604506","title":"The Corona Immunitas Digital Follow-Up eCohort to Monitor Impacts of the SARS-CoV-2 Pandemic in Switzerland: Study Protocol and First Results","year":2022,"lang":"en","type":"article","venue":"International Journal of Public Health","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Population and Public Health; Health Canada","funders":"Bundesamt für Gesundheit","keywords":"Medicine; Pandemic; Contact tracing; Public health; Environmental health; Population; Family medicine; Coronavirus disease 2019 (COVID-19); Disease; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.004659866,0.0001260469,0.0003020684,0.000382632,0.0002342875,0.0001541445,0.0008087154,0.00003021316,0.000003531842],"category_scores_gemma":[0.001792393,0.00007342028,0.0001122548,0.0004000079,0.00007082795,0.0002347556,0.0004481023,0.0007140209,0.000001825193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009295552,"about_ca_system_score_gemma":0.00193839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272064,"about_ca_topic_score_gemma":0.001235245,"domain_scores_codex":[0.9965057,0.000343848,0.001026965,0.0001632585,0.001613946,0.0003462449],"domain_scores_gemma":[0.9980726,0.0004410498,0.0005437811,0.000277931,0.0005690027,0.00009570034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004042417,0.001070571,0.9456649,0.00003438252,0.0003115376,0.00009520306,0.005122285,0.000002776692,0.001086995,0.00003810107,0.002710222,0.03982063],"study_design_scores_gemma":[0.01458407,0.00452185,0.7337832,0.000190046,0.00001123049,0.0008550662,0.005497118,0.0001043221,0.0005898324,0.0001561149,0.2395808,0.0001262583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970504,0.00006953302,0.000007826185,0.01591509,0.0004331011,0.0127946,0.00005111284,0.000006612594,0.000218075],"genre_scores_gemma":[0.9924609,0.000005642463,0.000008145446,0.005363969,0.0001739266,0.001941338,0.000001769291,0.00001540599,0.00002886762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2368706,"threshold_uncertainty_score":0.3438621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08744644572197562,"score_gpt":0.43391255628157,"score_spread":0.3464661105595944,"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."}}