{"id":"W6920180293","doi":"10.6068/dp14ba7af450825","title":"Trend 12/1982 - 12/2014. Bureau of Labor Statistics. Import/Export Price Indexes: Import Price Indexes, by BEA End Use | Country: USA | Series: Automotive Parts & Accessories (Incl. Engines & Parts), Excluding Canadian, 12/1982-12/2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-033-008.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Price index; Product (mathematics); Producer price index; Index (typography); Automotive industry; Goods and services; Consumer price index (South Africa)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001168807,0.001601441,0.001400102,0.004247567,0.001095336,0.00283865,0.002804593,0.001380914,0.09897314],"category_scores_gemma":[0.01177805,0.00106585,0.001013493,0.01582556,0.0002960214,0.002419651,0.001664923,0.002570733,0.1425903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003332878,"about_ca_system_score_gemma":0.006709067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2790397,"about_ca_topic_score_gemma":0.2751356,"domain_scores_codex":[0.9983162,0.0001647697,0.0002352813,0.0003784913,0.0006109155,0.0002944041],"domain_scores_gemma":[0.9920444,0.000746617,0.000653376,0.000595012,0.005573801,0.0003867979],"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":[0.00001150704,0.000007359214,0.0006644452,0.0001067753,0.000006638644,0.000003512916,0.000008249824,0.00004021305,0.00001053494,0.0001929277,0.9981039,0.000844019],"study_design_scores_gemma":[0.0001095742,0.00001144705,0.01178906,0.0004062821,0.00002309498,0.00001767229,0.0002133647,0.0001733869,0.0001316339,0.0005848454,0.98651,0.00002981996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005497026,0.00002121994,0.00002435139,0.00005044884,0.0000241069,0.000007800494,0.9991692,0.00003699278,0.0006108977],"genre_scores_gemma":[0.0002623037,0.0000535833,0.0001330557,0.00004497761,0.00001392479,0.00007662392,0.9978636,0.00003592295,0.00151597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9010268,"threshold_uncertainty_score":0.5548309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07432686008530374,"score_gpt":0.3164335750269909,"score_spread":0.2421067149416872,"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."}}