{"id":"W4307963116","doi":"10.5281/zenodo.7273883","title":"Priority List of COVID-19 Adverse events of special interest","year":2022,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Computer science; Medicine; Internal medicine; Outbreak; Infectious disease (medical specialty)","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":[0.009713745,0.001285163,0.002054947,0.007071047,0.00121499,0.003873792,0.001759109,0.003582717,0.2029891],"category_scores_gemma":[0.03831616,0.0008320204,0.001739858,0.003273667,0.0003637428,0.002137799,0.002508982,0.00319533,0.1003867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003182745,"about_ca_system_score_gemma":0.01162711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007102539,"about_ca_topic_score_gemma":0.01525597,"domain_scores_codex":[0.9915086,0.001535821,0.001951033,0.0003203019,0.003893101,0.0007911307],"domain_scores_gemma":[0.9358817,0.0124388,0.009909533,0.001351906,0.0347442,0.005673989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002968049,0.00004790128,0.0007012963,0.001398336,0.00002009342,0.000161925,0.00003752585,0.0001857371,0.000409233,0.0009646913,0.9243523,0.07142407],"study_design_scores_gemma":[0.000375069,0.0002429577,0.007894334,0.002763599,0.00005562691,0.00047327,0.00009537453,0.0003306298,0.0008519436,0.002506897,0.9843492,0.00006111356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004752139,0.01363915,0.02749372,0.06388764,0.02006765,0.02622707,0.4419418,0.01038245,0.3916084],"genre_scores_gemma":[0.01922514,0.02485519,0.05836182,0.02432574,0.0193575,0.01444599,0.5375791,0.002401418,0.2994482],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2029891,"threshold_uncertainty_score":0.6790662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402999418063437,"score_gpt":0.3117233748454877,"score_spread":0.171423433039144,"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."}}