{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00156919,0.001047799,0.0007397622,0.00224968,0.003054645,0.004465676,0.001716173,0.001685945,0.5969705],"category_scores_gemma":[0.008775587,0.0003502375,0.000618357,0.002069611,0.0007607518,0.003636572,0.002921846,0.002794484,0.4218974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002066398,"about_ca_system_score_gemma":0.003378518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004009785,"about_ca_topic_score_gemma":0.004197125,"domain_scores_codex":[0.9986651,0.0001971457,0.0001125714,0.0002800929,0.0005839642,0.0001611222],"domain_scores_gemma":[0.9957231,0.0005729553,0.0001713909,0.0004481512,0.00237599,0.0007083391],"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":[0.00004349245,0.00002301735,0.0001898654,0.0001529606,0.00000274702,0.00007758094,0.0001809096,0.00005046006,0.0001527048,0.006234975,0.9499762,0.04291512],"study_design_scores_gemma":[0.000003019743,0.00001101705,0.00024709,0.00007558059,9.830652e-7,0.00005399354,0.0001207134,0.00001755579,0.00004776779,0.001103987,0.9983151,0.000003276712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001959176,0.005970704,0.004367236,0.01703953,0.07362177,0.0006579206,0.0156199,0.001680336,0.8790835],"genre_scores_gemma":[0.007981455,0.003833346,0.002300028,0.005188424,0.008889638,0.0003575435,0.01341924,0.0008795989,0.9571506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4030295,"threshold_uncertainty_score":0,"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."}}