{"id":"W4240974985","doi":"10.1108/oxan-es210862","title":"US GDP growth will rebound in the second quarter","year":2016,"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); Economics; Environmental science; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.001343341,0.0009022231,0.0005494988,0.001398972,0.00149125,0.005899239,0.0006758851,0.004730605,0.06883523],"category_scores_gemma":[0.005351803,0.0003345697,0.0006498187,0.001811242,0.0005662541,0.003184619,0.002290912,0.003797604,0.04414953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002684936,"about_ca_system_score_gemma":0.006250058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04279615,"about_ca_topic_score_gemma":0.05555022,"domain_scores_codex":[0.9989626,0.00008276526,0.00007278489,0.00008424181,0.0004883465,0.0003092501],"domain_scores_gemma":[0.9978271,0.0001479139,0.000302518,0.00009863636,0.001091004,0.0005328414],"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":[0.00003750379,0.0000189033,0.0007314977,0.00003989448,0.000002684538,0.00002933525,0.00002448416,0.00007714353,0.00007232872,0.002672581,0.9811195,0.01517424],"study_design_scores_gemma":[0.00003911184,0.0000264145,0.007751431,0.0002060838,0.00000921036,0.00004949678,0.0002958387,0.000216561,0.0004251158,0.002532215,0.9884278,0.00002066801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009359482,0.009227453,0.0009405805,0.2506638,0.05076738,0.0001492358,0.04356293,0.002281859,0.6330473],"genre_scores_gemma":[0.05359531,0.01424904,0.001204056,0.05437324,0.009814401,0.0003031006,0.02553136,0.001222597,0.8397069],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06883523,"threshold_uncertainty_score":0.2302768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446772209779129,"score_gpt":0.2765584204124347,"score_spread":0.2620906983146434,"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."}}