{"id":"W3116024757","doi":"10.17613/agyxg-63w59","title":"CoVid, debt, the King, et cet","year":2020,"lang":"en","type":"article","venue":"Humanities Commons CORE (Modern Language Association / Columbia University)","topic":"Digital Media and Philosophy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Centers for Disease Control and Prevention","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Debt; Pandemic; Economics; Political science; Virology; Medicine; Finance; Outbreak; Infectious disease (medical specialty)","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":[0.0001777277,0.0001453793,0.0002042663,0.00008339817,0.0005239733,0.0007202873,0.001377615,0.00008803177,0.0001199186],"category_scores_gemma":[0.000284837,0.0001753998,0.000130134,0.000471113,0.00007022618,0.0008202986,0.0005156971,0.0003046527,0.00005733038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204281,"about_ca_system_score_gemma":0.0001705742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007331962,"about_ca_topic_score_gemma":0.008055862,"domain_scores_codex":[0.9985941,0.000205769,0.0001564357,0.0003107668,0.0004343607,0.000298547],"domain_scores_gemma":[0.9985726,0.0004871874,0.0002296412,0.0004118891,0.0001303098,0.0001683914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003681611,0.0002248728,0.02285751,0.0000737932,0.0003170902,0.000657218,0.1359722,0.0001244158,0.000226832,0.7905394,0.04050727,0.008462538],"study_design_scores_gemma":[0.002787174,0.0005039264,0.009259405,0.00006635895,0.0002069269,0.00002079314,0.01308186,0.01602692,0.00008554022,0.03156862,0.9250021,0.001390379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2516818,0.000240044,0.03180769,0.02092871,0.0008363734,0.0008684336,0.0003650765,0.001639494,0.6916324],"genre_scores_gemma":[0.9822573,0.00000908887,0.0002389588,0.009008755,0.0001299911,0.000002384968,0.00005205826,0.00001579795,0.008285642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8844948,"threshold_uncertainty_score":0.7152595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912855252388055,"score_gpt":0.2149957807393031,"score_spread":0.1758672282154226,"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."}}