{"id":"W3169508954","doi":"10.3167/hrrh.2020.470210","title":"Coda — Pandemic Brexit","year":2021,"lang":"en","type":"article","venue":"Historical Reflections/Réflexions Historiques","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brexit; Coda; Underwriting; Pandemic; Coronavirus disease 2019 (COVID-19); Politics; Component (thermodynamics); Political science; History; Economics; International trade; Seismology; Geology; Actuarial science; Law; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007369528,0.0003520892,0.0006885793,0.0003002045,0.00265742,0.00001498026,0.0002467192,0.000834619,0.00125734],"category_scores_gemma":[0.0007215652,0.0003513389,0.0002718545,0.0009763523,0.00007784035,0.0002125094,0.0001261233,0.001904438,0.001020468],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02637747,"about_ca_system_score_gemma":0.003624869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005868236,"about_ca_topic_score_gemma":0.01179333,"domain_scores_codex":[0.9953619,0.001164709,0.001217327,0.0008006843,0.0005412037,0.0009141311],"domain_scores_gemma":[0.9964915,0.0005650498,0.0003480756,0.0008793327,0.001115406,0.0006006427],"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":[0.0002220998,0.00109055,0.006574993,0.001439108,0.000204625,0.0003010655,0.0274187,0.00001547487,0.009883823,0.3012383,0.6412091,0.01040219],"study_design_scores_gemma":[0.0004712222,0.0001552845,0.0004157329,0.0002391266,0.00003015438,0.00005923354,0.001336137,0.000002795448,0.00004384039,0.008823383,0.988072,0.0003510697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0097809,0.06924225,0.02556163,0.05014193,0.04479693,0.001951416,0.00008293884,0.004950928,0.7934911],"genre_scores_gemma":[0.5226283,0.006959135,0.007577784,0.005301683,0.007185937,0.001385053,0.0001022135,0.0002332283,0.4486267],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5128474,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2492597744864082,"score_gpt":0.4947318346369821,"score_spread":0.2454720601505739,"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."}}