{"id":"W6939049205","doi":"10.6068/dp15f5eb9c8c045","title":"Trend 1993 - 2004. United Nations Economic Commission for Europe. Transport Statistics [Archive]: Pedestrians and Drivers, under the Influence of Alcohol, Involved in Accidents | Country: Finland | Selection 1: Pedestrians, 1993-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-004-009.","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; Official statistics; Pace; Selection (genetic algorithm); Passenger transport; Pedestrian; Public transport; Statistical analysis; National accounts; Economic statistics","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":[0.001635609,0.002084741,0.002115952,0.005355495,0.0010749,0.003086098,0.003208729,0.001873541,0.07416427],"category_scores_gemma":[0.01459351,0.001170508,0.001535598,0.02043211,0.0003112564,0.003012827,0.001679396,0.002338669,0.08172496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003348509,"about_ca_system_score_gemma":0.006646233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2298819,"about_ca_topic_score_gemma":0.1314958,"domain_scores_codex":[0.9978843,0.0002681524,0.0004172922,0.0004557876,0.0005914239,0.0003829427],"domain_scores_gemma":[0.9922316,0.001063861,0.001034394,0.0006119934,0.004652287,0.0004057961],"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":[0.0000367043,0.00001194042,0.001314484,0.0002900249,0.00002056562,0.000009298639,0.00001573349,0.0001033257,0.00001255325,0.0002617906,0.9966986,0.001224982],"study_design_scores_gemma":[0.0002388094,0.00002957539,0.03077119,0.001142166,0.00007267595,0.00004921986,0.0004025192,0.0002839564,0.0002058913,0.0007580997,0.9659907,0.00005529923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006348648,0.00002485503,0.00001658241,0.00004278367,0.00003001252,0.000006750162,0.9994479,0.00002534194,0.0003422921],"genre_scores_gemma":[0.0003514676,0.00006339114,0.00008796087,0.00003048073,0.00001327198,0.00007682884,0.998499,0.00002561356,0.0008519499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2298819,"threshold_uncertainty_score":0.4570878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258315060297379,"score_gpt":0.3088577075600874,"score_spread":0.2562745569571136,"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."}}