{"id":"W6957711580","doi":"10.6068/dp1504492c6d739","title":"RANKING: United Nations Economic Commission for Europe. Transport Statistics [Archive]: Road Accidents Involving One or More Persons under the Influence of Alcohol | Selection 1: Number of accidents, 2003. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 054-004-008","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Commonwealth; Official statistics; Economic data; Poison control; Baseline (sea); Economic statistics; Statistical analysis; Government (linguistics)","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":[0.001945733,0.002593086,0.002738452,0.007269843,0.0008513182,0.003752723,0.002784372,0.001523008,0.07711338],"category_scores_gemma":[0.01224355,0.0009202965,0.001412577,0.02571578,0.0004084021,0.003035634,0.001659133,0.002853108,0.1178101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002989031,"about_ca_system_score_gemma":0.005723455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1271558,"about_ca_topic_score_gemma":0.06886078,"domain_scores_codex":[0.9967734,0.0004586582,0.0005462964,0.0006621075,0.001120741,0.0004386532],"domain_scores_gemma":[0.9911211,0.001176837,0.0009668269,0.0009004464,0.005458631,0.0003761354],"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":[0.00001950479,0.000008621044,0.0003945184,0.0001788305,0.00001166794,0.000006052308,0.000005332658,0.00008094046,0.000009111821,0.0002553394,0.9976054,0.001424636],"study_design_scores_gemma":[0.0001098671,0.00001444666,0.007401972,0.0005238157,0.00002502933,0.00002220701,0.0001110475,0.0002147913,0.0001109489,0.0007094209,0.9907286,0.00002784635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005837362,0.00006891789,0.00004662903,0.00008998572,0.00005941734,0.00001276797,0.9985718,0.00007303504,0.001019003],"genre_scores_gemma":[0.0003441362,0.0001590981,0.0001768148,0.00006369529,0.00002091216,0.00008415014,0.9976948,0.0000653618,0.001390986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1271558,"threshold_uncertainty_score":0.2579699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06017061930830059,"score_gpt":0.3373733054257566,"score_spread":0.277202686117456,"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."}}