{"id":"W6901882761","doi":"10.6068/dp14c9ffcfa1941","title":"TREND: Bureau of Economic Analysis. GDP - National: 1.1.5. Gross Domestic Product | Finance Line Item: Gross domestic product, 2009 - 2013. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 003-001-007","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Quarter (Canadian coin); GDP deflator; Gross domestic income; National accounts; Economic statistics; Goods and services; Real gross domestic product; Product (mathematics); National Income and Product Accounts","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":[0.001916594,0.001866112,0.001623393,0.006278242,0.0007560991,0.003057474,0.002814131,0.001072473,0.1336983],"category_scores_gemma":[0.0138167,0.001070981,0.00112989,0.02411034,0.0003537174,0.004015469,0.001769421,0.003955779,0.1974184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118907,"about_ca_system_score_gemma":0.006145543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09141856,"about_ca_topic_score_gemma":0.05090834,"domain_scores_codex":[0.9970056,0.0003827033,0.0004513017,0.0005936159,0.001244061,0.0003227563],"domain_scores_gemma":[0.9862462,0.001031326,0.001242198,0.0009392212,0.01000879,0.0005321213],"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":[0.00002127569,0.00001036437,0.000614043,0.0001808475,0.00001043799,0.000004861049,0.00001029025,0.0000559969,0.00001482434,0.0006270391,0.9950954,0.003354769],"study_design_scores_gemma":[0.00005578653,0.00001188547,0.007599134,0.0003414268,0.00001999884,0.0000205107,0.00009906072,0.0001580866,0.00009697458,0.0007983492,0.9907756,0.00002309283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009387299,0.0001078219,0.0002165728,0.0002223422,0.0001341287,0.00005825167,0.9936027,0.0002429835,0.005321362],"genre_scores_gemma":[0.0007217368,0.0003173731,0.0007080043,0.0001730449,0.00004843451,0.0004318203,0.9917402,0.0003210163,0.005538302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1336983,"threshold_uncertainty_score":0.4472655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038427479275745,"score_gpt":0.3376371293205181,"score_spread":0.2972528545277606,"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."}}