{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00231064,0.0002570493,0.0007911196,0.0005004052,0.0003159976,0.0001213993,0.000571295,0.000130922,0.0000877509],"category_scores_gemma":[0.0007247124,0.0002224928,0.0003138453,0.0008372163,0.0001483027,0.0005007156,0.0000947753,0.0003485371,0.00007777975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319004,"about_ca_system_score_gemma":0.00006321835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004407257,"about_ca_topic_score_gemma":0.0002069803,"domain_scores_codex":[0.9977967,0.00005158293,0.001379802,0.0002413299,0.00008355905,0.0004470797],"domain_scores_gemma":[0.9964948,0.0003950536,0.002216523,0.0003321801,0.000435563,0.0001258875],"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":[0.0008749802,0.0005760774,0.6468738,0.000553255,0.00229393,0.00006814405,0.007672029,0.11506,0.00009913625,0.1755686,0.01467505,0.03568503],"study_design_scores_gemma":[0.003311014,0.0007348388,0.1281716,0.000355823,0.0005878907,0.0007564574,0.0007385286,0.6239352,0.0001869298,0.1744676,0.06535108,0.001402973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6038112,0.001135593,0.3608299,0.001904388,0.001404482,0.0001999969,0.0001034982,0.00003195659,0.03057903],"genre_scores_gemma":[0.9968761,0.00016318,0.0007989999,0.0003125349,0.001403023,0.000002868474,0.00000554391,0.00004298466,0.000394721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5187021,"threshold_uncertainty_score":0.9072994,"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."}}