{"id":"W3036063846","doi":"","title":"Analysis of the quarterly evolution of the Gross Domestic Product","year":2020,"lang":"ro","type":"article","venue":"Economie teoretică şi aplicată","topic":"Economic Analysis and Policy","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Quarter (Canadian coin); Gross domestic income; Product (mathematics); Gross output; Economics; Agricultural economics; Econometrics; Geography; Mathematics; Macroeconomics; Production (economics); Public economics; Gross income","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":[0.001045608,0.0003011872,0.0003132991,0.002485477,0.0001247373,0.0009366727,0.0002555141,0.0002155413,0.003227595],"category_scores_gemma":[0.004182733,0.00009836281,0.0003300467,0.004297604,0.0001657288,0.0003840919,0.0004000952,0.0005798054,0.001392959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004705061,"about_ca_system_score_gemma":0.0003790371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006009845,"about_ca_topic_score_gemma":0.003173339,"domain_scores_codex":[0.9992282,0.0001132243,0.00007505271,0.0001815383,0.0003329725,0.00006903928],"domain_scores_gemma":[0.9971563,0.0007281555,0.0007202992,0.0001584512,0.001133169,0.0001035624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003293735,0.0001884737,0.7601523,0.0009459782,0.000539886,0.0006559559,0.001153132,0.009298722,0.003811747,0.007956877,0.06751364,0.147454],"study_design_scores_gemma":[0.000005728082,0.0001538696,0.9292194,0.00006349367,0.00004064889,0.0002131516,0.0007386638,0.004435573,0.001194727,0.0005984424,0.06330437,0.00003198504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791067,0.001874002,0.0114996,0.0009991971,0.0004852462,0.0002303042,0.1603676,0.0005541664,0.03292278],"genre_scores_gemma":[0.883464,0.001263495,0.007265935,0.000132277,0.0002730676,0.000231153,0.09523669,0.0001418223,0.01199164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006009845,"threshold_uncertainty_score":0.01194972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597207984141387,"score_gpt":0.2117104770607103,"score_spread":0.1957383972192964,"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."}}