{"id":"W6920258644","doi":"10.6068/dp155069ff30295","title":"Ranking of Countries (2006). United Nations Economic Commission for Europe. Transport Statistics [Archive]: Persons Killed or Injured in Road Traffic Accidents | Selection 1: Pedestrians | Selection 2: Total of killed | Selection 3: All ages, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-004-010.","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; Selection (genetic algorithm); Official statistics; Ranking (information retrieval); Pace; Pedestrian; Road accident; Road transport; Passenger transport","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001370125,0.001001906,0.001665056,0.002852636,0.0002835617,0.000162641,0.001582132,0.0007961935,0.008316519],"category_scores_gemma":[0.0002150599,0.0009298582,0.000005141889,0.0005596783,0.0003411122,0.0007229915,0.0001895958,0.0008527288,0.0008654763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670056,"about_ca_system_score_gemma":0.001201905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2786178,"about_ca_topic_score_gemma":0.2468728,"domain_scores_codex":[0.9933442,0.00115202,0.002161415,0.001615912,0.000835516,0.0008909454],"domain_scores_gemma":[0.9942701,0.001573526,0.002309458,0.001394775,0.0001605217,0.0002916252],"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":[0.004010868,0.0004729557,0.0001695417,0.0008680984,0.0007390609,0.00002327815,0.00003698726,0.0007135504,0.0006595737,0.0003031762,0.9916934,0.0003095545],"study_design_scores_gemma":[0.004884357,0.0006320404,0.0002449692,0.0002137338,0.001104385,0.0001927497,0.00007017114,0.024428,0.000002748376,4.929627e-7,0.9673039,0.0009224118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006514301,0.0001372584,0.0005633986,0.000005253586,0.0004288406,0.002989803,0.994573,0.0003258855,0.0009114285],"genre_scores_gemma":[0.001086495,0.001080231,0.001725028,0.00001039219,0.0002391536,0.000101903,0.9902287,0.0006438033,0.004884306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03174499,"threshold_uncertainty_score":0.9999124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542799506852793,"score_gpt":0.3069176776374814,"score_spread":0.2714896825689534,"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."}}