{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009916575,0.0004221663,0.0004665276,0.001176247,0.006825797,0.01254402,0.0007331483,0.003606942,0.08041573],"category_scores_gemma":[0.006934972,0.0003016085,0.0001550174,0.002080837,0.00450911,0.008116082,0.003206583,0.00698418,0.02124716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005595611,"about_ca_system_score_gemma":0.002655937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225513,"about_ca_topic_score_gemma":0.04181365,"domain_scores_codex":[0.9990206,0.0002235231,0.00003713239,0.0001598488,0.000402485,0.0001563404],"domain_scores_gemma":[0.9988934,0.0003625718,0.0001221218,0.0001437115,0.0002617543,0.0002163614],"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":[0.00001274474,0.000006016342,0.000111013,0.00004296597,0.000001569812,0.00003571106,0.001239356,0.00001221309,0.00002393114,0.1663265,0.8210127,0.01117528],"study_design_scores_gemma":[0.000001888809,0.000001270052,0.0001736595,0.00008385155,7.35516e-7,0.00005048408,0.0009363077,0.00001075126,0.00002026803,0.003856798,0.9948612,0.000002818341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001997357,0.02531398,0.0004616774,0.09019722,0.01867582,0.00001552297,0.0007629884,0.0001031671,0.8624724],"genre_scores_gemma":[0.05267081,0.01217499,0.000274076,0.02363758,0.01120169,0.00004375599,0.0003385699,0.0003260199,0.8993325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08041573,"threshold_uncertainty_score":0.2690174,"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."}}