{"id":"W6939070946","doi":"10.6068/dp152af43a57e17","title":"Ranking of Countries (2007). United Nations Economic Commission for Europe. Transport Statistics [Archive]: Number of Trailers | Selection 1: Total, 2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-004-025.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Commonwealth; Official statistics; Ranking (information retrieval); Economic statistics; Economic data; Truck; Per capita","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":[0.001793044,0.002663948,0.002602626,0.009163893,0.0009425599,0.004499364,0.002321037,0.001278831,0.0838422],"category_scores_gemma":[0.01058328,0.001091699,0.001429535,0.03724003,0.0004149759,0.003502,0.001990528,0.003111011,0.1364205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003048199,"about_ca_system_score_gemma":0.006953489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1301243,"about_ca_topic_score_gemma":0.07356637,"domain_scores_codex":[0.996819,0.0004134105,0.0005210842,0.000634947,0.001095817,0.0005156862],"domain_scores_gemma":[0.9911747,0.0009890491,0.0008338519,0.0007142529,0.005950403,0.0003377069],"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":[0.00001357605,0.00000747442,0.0004537005,0.0002167014,0.00001159953,0.000005658742,0.000007662845,0.000088102,0.000008850836,0.0004059924,0.9973388,0.001441942],"study_design_scores_gemma":[0.00006796866,0.00001511056,0.008491174,0.0005211092,0.00002319974,0.00002183725,0.0001921254,0.0001603505,0.000103559,0.0005484157,0.9898272,0.00002805609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007942216,0.00008123879,0.00004342158,0.00007102673,0.00008036878,0.00001364227,0.9980049,0.00006720284,0.001558926],"genre_scores_gemma":[0.000483543,0.0002429843,0.000277849,0.00006104162,0.00002274405,0.0001132993,0.9964511,0.00008639847,0.002260994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1301243,"threshold_uncertainty_score":0.2804801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783974267033731,"score_gpt":0.3076518664242024,"score_spread":0.2698121237538652,"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."}}