{"id":"W7064287434","doi":"","title":"Atlanta Fed's closely watched GDP tracker shows next to no growth for first quarter","year":2019,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atlanta; Quarter (Canadian coin); Tracking (education); Metropolitan area; Real gross domestic product","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":[0.0008114792,0.0007215335,0.0004516855,0.0009621649,0.002795342,0.006572149,0.0006381503,0.0045816,0.1358021],"category_scores_gemma":[0.002959377,0.0003227868,0.0005065121,0.0006785208,0.0006652412,0.001498978,0.001626994,0.003695264,0.07503489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004250411,"about_ca_system_score_gemma":0.006171284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08409163,"about_ca_topic_score_gemma":0.1881384,"domain_scores_codex":[0.99936,0.00003827766,0.00001190752,0.00005668725,0.0003462268,0.0001868899],"domain_scores_gemma":[0.9987661,0.00009792668,0.00005606417,0.00007146017,0.0005656837,0.0004428391],"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":[0.00002203229,0.000009968278,0.0002053697,0.000008256754,7.801686e-7,0.00002537769,0.000007847261,0.00002324736,0.00004918234,0.001975718,0.9933942,0.004278022],"study_design_scores_gemma":[0.000009503217,0.00001508661,0.002717821,0.00002342763,0.000002024603,0.00002451439,0.0001034632,0.0001461658,0.0001767431,0.0007215278,0.9960509,0.000008831899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004975278,0.0009326418,0.000486194,0.04946266,0.01755589,0.00006749537,0.01625854,0.00172997,0.9085312],"genre_scores_gemma":[0.009380575,0.0002816785,0.0002639478,0.007287601,0.0005064872,0.00002624875,0.00277772,0.0003179085,0.9791579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1358021,"threshold_uncertainty_score":0.4543034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149786110961851,"score_gpt":0.2563603403853371,"score_spread":0.241381729289152,"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."}}