{"id":"W2741950078","doi":"10.17016/2380-7172.2031","title":"Another Look at Residual Seasonality in GDP","year":2017,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pace; Seasonality; Residual; Economics; Seasonal adjustment; Slowdown; Econometrics; Agricultural economics; Geography; Statistics; Mathematics; Economic growth; Geodesy","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":[0.001092949,0.0001819619,0.0003003227,0.001315304,0.0004746638,0.001444682,0.0003966249,0.0005811083,0.005492639],"category_scores_gemma":[0.006762448,0.000106938,0.0005730464,0.002525382,0.0006241892,0.001335721,0.0006166867,0.001813198,0.0005208523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009418085,"about_ca_system_score_gemma":0.0007267476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04692718,"about_ca_topic_score_gemma":0.05962078,"domain_scores_codex":[0.9993851,0.00008472631,0.00004171153,0.0001365656,0.0001874231,0.0001644633],"domain_scores_gemma":[0.9960764,0.001002334,0.0009082187,0.0004378399,0.001287223,0.000287908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005160397,0.0002230793,0.6897704,0.0003250192,0.0005991602,0.0012105,0.003709187,0.007305391,0.004297737,0.09260864,0.09121194,0.108223],"study_design_scores_gemma":[0.00002323534,0.0002051225,0.8595961,0.0001893557,0.0001498467,0.0004356904,0.003718813,0.009653722,0.001284349,0.02702594,0.09764273,0.0000749527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958294,0.005267605,0.01817307,0.04939131,0.001393184,0.00005988392,0.01223331,0.0005551446,0.1170971],"genre_scores_gemma":[0.9829943,0.001096859,0.001513898,0.002549298,0.0004203396,0.000009068811,0.003409298,0.0001668112,0.007840129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04692718,"threshold_uncertainty_score":0.09330809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06938161368562737,"score_gpt":0.2504502804145335,"score_spread":0.1810686667289062,"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."}}