{"id":"W2994328460","doi":"","title":"Predictive Analytics Forecast Snail's Pace Growth","year":2014,"lang":"en","type":"article","venue":"˜The œjournal of business forecasting","topic":"Economic, financial, and policy analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real gross domestic product; Quarter (Canadian coin); Economics; Pace; Investment (military); China; Economic recovery; Agricultural economics; Monetary economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009486281,0.0009889351,0.000378393,0.001707212,0.0002897926,0.001910015,0.0004855685,0.0005877108,0.002725482],"category_scores_gemma":[0.003745563,0.0002096227,0.0004896412,0.001689094,0.0002487762,0.001378936,0.0008531099,0.001043807,0.001545413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006489002,"about_ca_system_score_gemma":0.000461945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0211213,"about_ca_topic_score_gemma":0.01410084,"domain_scores_codex":[0.9997615,0.00002412865,0.00001417541,0.00006747057,0.00009312466,0.00003964688],"domain_scores_gemma":[0.9991917,0.0002116822,0.00009077142,0.00008032734,0.0003414655,0.00008404653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003761766,0.0001647059,0.1540337,0.0002404361,0.0001297636,0.0004531637,0.0002395468,0.5053788,0.002659567,0.008831264,0.1054425,0.2220504],"study_design_scores_gemma":[0.00001012629,0.00005080362,0.01549848,0.00004861697,0.00001786279,0.00005413234,0.000111955,0.9649739,0.001079728,0.00362926,0.01450528,0.00001979109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7290561,0.007146909,0.1336414,0.008948355,0.00292505,0.0002247009,0.04142408,0.01688697,0.05974634],"genre_scores_gemma":[0.9400682,0.002407396,0.01677052,0.0002979159,0.0003565247,0.00005546539,0.03393635,0.0003538862,0.005753825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0211213,"threshold_uncertainty_score":0.04199672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154174847933419,"score_gpt":0.2063761549636639,"score_spread":0.1648344064843297,"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."}}