{"id":"W6974483201","doi":"10.58079/ovij","title":"Post-pandemic Actuary: Online Joint Section Colloquia 2021","year":2021,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Joint (building); Intersection (aeronautics); Feature (linguistics); Face (sociological concept)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008956085,0.001343599,0.0009703744,0.001679038,0.004070169,0.007320023,0.001681975,0.007838822,0.3351296],"category_scores_gemma":[0.01828887,0.0005715946,0.0009249199,0.001442037,0.000982239,0.004108842,0.005864635,0.006667169,0.1212014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004353202,"about_ca_system_score_gemma":0.008025303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757763,"about_ca_topic_score_gemma":0.04720183,"domain_scores_codex":[0.9957664,0.0007033015,0.0001851815,0.000310149,0.001866319,0.00116875],"domain_scores_gemma":[0.9817845,0.003163249,0.0009795383,0.0007811906,0.006687747,0.006603837],"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":[0.00002216895,0.00001075666,0.00006692273,0.00002514962,0.000001391833,0.0000240236,0.0000208099,0.00001723024,0.00005516244,0.0004913837,0.9947202,0.004544802],"study_design_scores_gemma":[0.00001176858,0.00001364499,0.0009186682,0.00007386822,0.000002053379,0.00001894023,0.0000841494,0.00004110951,0.00005558706,0.0004634383,0.9983056,0.00001127023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.002417096,0.009001636,0.002781811,0.2234855,0.4204318,0.0009788022,0.01594291,0.001638927,0.3233216],"genre_scores_gemma":[0.01390378,0.00492967,0.002204777,0.05127994,0.1053156,0.0007773079,0.00919294,0.001303051,0.8110929],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3351296,"threshold_uncertainty_score":0.9483569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07032356242908809,"score_gpt":0.3222553741342329,"score_spread":0.2519318117051448,"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."}}