{"id":"W4214479868","doi":"10.21810/jicw.v4i3.4199","title":"Post-COVID World","year":2022,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Presentation (obstetrics); Political science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); National security; Key (lock); Public relations; Economic growth; Medicine; Computer security; Law; Computer science; Virology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001757298,0.000809056,0.0003808832,0.0009142539,0.007414649,0.006976067,0.0009281699,0.00473725,0.2723098],"category_scores_gemma":[0.007371919,0.0003061511,0.0005073456,0.0005937939,0.00125101,0.002752886,0.005023506,0.007536958,0.06242271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00432098,"about_ca_system_score_gemma":0.00800919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01754426,"about_ca_topic_score_gemma":0.05895521,"domain_scores_codex":[0.9978437,0.0002074348,0.00005995789,0.0001711105,0.0008085243,0.0009092589],"domain_scores_gemma":[0.9973202,0.0001954573,0.0000922219,0.0001027376,0.001145104,0.001144146],"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":[0.00004315155,0.0000222803,0.0004467183,0.00005413791,0.000002770044,0.0004001484,0.0003046348,0.00001027162,0.0001022885,0.004431935,0.9762164,0.01796519],"study_design_scores_gemma":[0.000005331106,0.00002349022,0.001078851,0.00006262447,0.000001134745,0.0001934966,0.0005889567,0.000009891191,0.00008543731,0.0003948621,0.997548,0.000007797514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.006933084,0.007583646,0.000479968,0.1698646,0.07164221,0.0002628314,0.002573976,0.0004349436,0.7402248],"genre_scores_gemma":[0.01919094,0.002278524,0.0002692962,0.03392626,0.003298887,0.0001376692,0.001533063,0.0001570207,0.9392083],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2723098,"threshold_uncertainty_score":0.9109672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05016295177065593,"score_gpt":0.3470750801055497,"score_spread":0.2969121283348937,"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."}}