{"id":"W6901523558","doi":"10.6068/dp163ba27ebb418","title":"Trend 1995 - 2006. United Nations Economic Commission for Europe. Gender Statistics [Archive]: Smokers, as a % of Population | Country: Austria | Selection 1: 15 - 24 | Selection 2: Female, 1995-2006. Data Planet™ Statistical Ready Reference: A SAGE Publishing Resource Dataset-ID: 054-003-051.","year":2018,"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; Population; Economic statistics; Publishing; Economic data; Selection (genetic algorithm); International Standard Industrial Classification","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":[0.002184785,0.001773807,0.001874085,0.004901332,0.0008131965,0.002890385,0.00239537,0.001289337,0.1046268],"category_scores_gemma":[0.02044089,0.001116854,0.001244465,0.01682372,0.0002835528,0.002736498,0.001796892,0.002346364,0.112477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002638849,"about_ca_system_score_gemma":0.005140835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09524188,"about_ca_topic_score_gemma":0.06880528,"domain_scores_codex":[0.9977228,0.0003062377,0.0004541413,0.0004698122,0.00071371,0.0003332845],"domain_scores_gemma":[0.9908139,0.001501882,0.001025948,0.0007242894,0.005513988,0.0004199062],"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":[0.00001952904,0.0000058466,0.0005072808,0.0002333368,0.000009011617,0.000004339238,0.00001056192,0.000033183,0.000008922085,0.0001681225,0.9976253,0.001374547],"study_design_scores_gemma":[0.0001748765,0.00002164592,0.01744755,0.001052459,0.00003390274,0.00003086674,0.0002156707,0.0001223135,0.00009988375,0.0006177606,0.9801501,0.00003291107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004737014,0.00003963388,0.00002272963,0.00006997695,0.00005338543,0.00001654824,0.9991517,0.00003015265,0.0005685203],"genre_scores_gemma":[0.0003927018,0.0001356635,0.0001768836,0.00008927596,0.00003018374,0.000265945,0.9970232,0.00005821843,0.00182796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1046268,"threshold_uncertainty_score":0.3500116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09296290688582076,"score_gpt":0.3261528525373109,"score_spread":0.2331899456514901,"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."}}