{"id":"W4246594522","doi":"10.1088/1755-1315/594/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural economics; Economic shortage; China; Business; Political science; Economic growth; Geography; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001931447,0.0001234004,0.0001761406,0.00004701741,0.0002068511,0.0001365854,0.0002682233,0.00003867817,0.0009886416],"category_scores_gemma":[0.0001129031,0.0001335184,0.00002403631,0.0001821105,0.000828748,0.0008359252,0.0002007705,0.0001050671,0.0004958421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000334252,"about_ca_system_score_gemma":0.00003947155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006360056,"about_ca_topic_score_gemma":0.000007722673,"domain_scores_codex":[0.998891,0.000005292934,0.0002099358,0.0004749139,0.00007523113,0.0003436284],"domain_scores_gemma":[0.9993788,0.00001344694,0.00009165672,0.0001678233,0.000002989537,0.0003452931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002469834,0.0001868168,0.3281101,0.0001562752,0.00004914793,0.00004403527,0.02431334,0.000424135,0.3877762,0.205619,0.0006903626,0.05238359],"study_design_scores_gemma":[0.001054516,0.0007368818,0.6770802,0.00002154003,0.000006976088,0.00003421169,0.001786482,0.006654564,0.06963261,0.005969038,0.2360025,0.001020491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986091,0.000341658,0.0003783972,0.002960606,0.00009123338,0.0001247213,0.00008246236,0.00003409952,0.009895854],"genre_scores_gemma":[0.9969809,0.0003460594,0.0003661636,0.001707812,0.00003346999,0.000003884878,0.000003903852,0.000006476628,0.0005513195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489701,"threshold_uncertainty_score":0.9999246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965690815022052,"score_gpt":0.211320782279148,"score_spread":0.1716638741289275,"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."}}