{"id":"W6976651354","doi":"10.6068/dp172ce3321ac47","title":"TREND: United States Census Bureau. International Trade Datasets: Imports by Standard International Trade Classification (SITC) Code | Indicator: Imports for Consumption, CIF Value | Code: 59331, 01/2013 - 02/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-067-012","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Commodity; Value (mathematics); Principal (computer security); Official statistics; International standard; Trade barrier","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":[0.001476177,0.001746157,0.001438905,0.006576681,0.000848105,0.0025731,0.002593445,0.001091003,0.1015181],"category_scores_gemma":[0.01305849,0.0009720974,0.001272814,0.02576418,0.0003605328,0.003354081,0.001702393,0.002886679,0.1129932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116058,"about_ca_system_score_gemma":0.005549962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08861168,"about_ca_topic_score_gemma":0.06730489,"domain_scores_codex":[0.9980904,0.0002684343,0.0003708355,0.0003989153,0.0006276728,0.0002437481],"domain_scores_gemma":[0.9909882,0.001046901,0.000984917,0.000819401,0.005782425,0.0003781215],"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":[0.00001286132,0.000005814318,0.0004528583,0.0001954055,0.00001081019,0.00000505973,0.00001525747,0.00005293844,0.00001166021,0.0003765091,0.9974183,0.001442537],"study_design_scores_gemma":[0.00008410838,0.00001024561,0.007208394,0.0005334939,0.00003525633,0.00002634422,0.0001818573,0.0001860842,0.00007593771,0.00121987,0.990408,0.00003045628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006095487,0.00004170889,0.00006953011,0.00007761196,0.00004038988,0.00002234165,0.9984533,0.00009041544,0.001143722],"genre_scores_gemma":[0.0004364515,0.0001814009,0.0003763737,0.0001009045,0.0000300212,0.000232416,0.9968414,0.00012442,0.00167666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1015181,"threshold_uncertainty_score":0.339612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03727827780581026,"score_gpt":0.2948608709303955,"score_spread":0.2575825931245852,"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."}}