{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00201618,0.002914087,0.002544769,0.007566614,0.001034704,0.004017627,0.002562023,0.001436022,0.08188779],"category_scores_gemma":[0.01277247,0.001099814,0.00153427,0.02946104,0.0004498395,0.003367795,0.002039929,0.003233374,0.1398057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002903908,"about_ca_system_score_gemma":0.005789123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1206619,"about_ca_topic_score_gemma":0.07650491,"domain_scores_codex":[0.9969133,0.0004470045,0.0005702012,0.0007320331,0.0008831904,0.0004542292],"domain_scores_gemma":[0.9909161,0.001205315,0.0008846372,0.0008807888,0.005673102,0.0004399864],"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":[0.00001492614,0.00000680583,0.0004877492,0.0002126102,0.00001063197,0.000005046586,0.000008483832,0.00006440414,0.000008849723,0.0002511825,0.9977527,0.001176594],"study_design_scores_gemma":[0.00008318998,0.00001460546,0.008386534,0.0005921359,0.00002367514,0.00002653584,0.0001970291,0.0001343319,0.00009423846,0.0005082819,0.9899098,0.00002979087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004945603,0.0000580223,0.00002647572,0.00005671163,0.00005941248,0.000008844859,0.9988567,0.00005727133,0.000827177],"genre_scores_gemma":[0.0002921963,0.0001395855,0.0001910663,0.00005375172,0.00001591749,0.00007712335,0.997982,0.00005635963,0.001191949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1206619,"threshold_uncertainty_score":0.2739419,"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."}}