{"id":"W6901621288","doi":"10.6068/dp15ee81991690","title":"RANKING: United Nations Economic Commission for Europe. Transport Statistics [Archive]: Number of Semi-trailers | Selection 1: Total, 1993 - 2007. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 054-004-023","year":2017,"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; Economic data; Economic statistics; CONQUEST; Per capita; Selection (genetic algorithm)","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":[0.001289012,0.002201753,0.001923529,0.006761151,0.000810894,0.003440807,0.002081105,0.001238029,0.09623387],"category_scores_gemma":[0.009373603,0.0008189638,0.001127969,0.02378641,0.0003012622,0.002685227,0.001285722,0.002438509,0.1367322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002975341,"about_ca_system_score_gemma":0.005138865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1379872,"about_ca_topic_score_gemma":0.08926146,"domain_scores_codex":[0.9978198,0.0002585386,0.0003244332,0.0004566275,0.0007969469,0.0003437647],"domain_scores_gemma":[0.9914845,0.0009274534,0.0008809475,0.000638894,0.005763508,0.0003047975],"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":[0.0000125279,0.00000583185,0.0003752852,0.0001240268,0.000007603664,0.000004195527,0.000004144968,0.00007294414,0.000007255826,0.0001979426,0.9981509,0.001037287],"study_design_scores_gemma":[0.00009166796,0.00001357265,0.008892246,0.0004227483,0.00002158096,0.00001896694,0.0001371576,0.0002212467,0.000108889,0.0004927096,0.989556,0.00002313705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006180123,0.00004650654,0.0000319137,0.00005811399,0.00003822347,0.000009316062,0.9987279,0.00005758909,0.0009686534],"genre_scores_gemma":[0.0003623056,0.000120792,0.0001124254,0.0000416618,0.00001925551,0.00006510756,0.997675,0.00005092875,0.001552467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9037662,"threshold_uncertainty_score":0.3219344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634330073461932,"score_gpt":0.3138817114059992,"score_spread":0.2775384106713799,"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."}}