{"id":"W4250502001","doi":"10.1108/oxan-db257773","title":"Prospects for the US economy in 2021","year":2020,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economic recovery; Consumption (sociology); Real estate; Work (physics); Business; State (computer science); Economy; Economics; Economic policy; Finance; Engineering; Geography; Macroeconomics","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":[0.0001693738,0.0001814801,0.0002864974,0.00005342392,0.0001996386,0.00008541707,0.0005582593,0.0003304972,0.006577559],"category_scores_gemma":[0.0001391177,0.0001406649,0.00008872565,0.000136999,0.000248941,0.00005055746,0.00009139028,0.0002100456,0.0001740123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110699,"about_ca_system_score_gemma":0.0001272972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05377075,"about_ca_topic_score_gemma":0.004346004,"domain_scores_codex":[0.9989364,0.00002201901,0.0002192916,0.0003941498,0.0000769141,0.0003512564],"domain_scores_gemma":[0.9995229,0.00009369598,0.0001329774,0.0001818399,0.000007766205,0.00006085436],"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":[0.000002812242,0.00001083508,0.00002926629,0.000006263245,0.0000266538,0.000002529168,0.0010673,1.419708e-7,6.059311e-7,0.06405152,0.9287668,0.006035268],"study_design_scores_gemma":[0.0002001674,0.000009648636,0.00006057538,0.00004336021,0.000003065967,1.623843e-7,0.00004808423,0.00001058221,0.000008406922,0.005792812,0.9936095,0.0002136353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002692238,0.001945931,0.0001422264,0.3704934,0.0002313919,0.0008997762,0.000007941068,0.0001687265,0.6261079],"genre_scores_gemma":[0.0002309293,0.003408678,0.003540966,0.1900187,0.001430944,0.0008015493,0.00002143624,0.0002140896,0.8003327],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1804747,"threshold_uncertainty_score":0.9943306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288359573575339,"score_gpt":0.2833620962841809,"score_spread":0.2604785005484275,"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."}}