{"id":"W6920404355","doi":"10.6068/dp163ba27a77617","title":"Trend 1980 - 2006. United Nations Economic Commission for Europe. Gender Statistics [Archive]: Death Rate by Cause | Country: Austria | Selection 1: 45 - 64 | Selection 2: Both sexes, 1980-2006. Data Planet™ Statistical Ready Reference: A SAGE Publishing Resource Dataset-ID: 054-003-053.","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; Selection (genetic algorithm); Mortality rate; Publishing; International comparisons; Economic data; Summary 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":[0.002007864,0.001750043,0.001956365,0.005519896,0.0008110316,0.002609659,0.002071806,0.001209722,0.1116673],"category_scores_gemma":[0.01905093,0.001086632,0.001192,0.01813559,0.0003009456,0.002875787,0.001810246,0.002333297,0.1290512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002612783,"about_ca_system_score_gemma":0.005067633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07265789,"about_ca_topic_score_gemma":0.05119729,"domain_scores_codex":[0.9977199,0.0003086472,0.0004372785,0.0004692386,0.0007192843,0.0003454408],"domain_scores_gemma":[0.9905527,0.001447285,0.001043513,0.0006896805,0.00587283,0.0003939993],"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":[0.00001781723,0.000005535952,0.0005169305,0.0002537119,0.000009477344,0.000004484622,0.00001071135,0.00003329554,0.000009991596,0.0002006422,0.9973934,0.001543978],"study_design_scores_gemma":[0.0001369211,0.00001836635,0.01514619,0.001042935,0.00002945814,0.0000300556,0.000182852,0.0000913475,0.00008301087,0.0005758424,0.9826362,0.00002672186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005597666,0.0000570289,0.00002856735,0.0000768543,0.0000673347,0.00001936517,0.9988385,0.00003476243,0.0008216275],"genre_scores_gemma":[0.0004441819,0.000186809,0.0001982856,0.0001039282,0.00003986157,0.0002905942,0.9962654,0.00007282779,0.002398141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1116673,"threshold_uncertainty_score":0.3735644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0797860297052926,"score_gpt":0.3135394149723306,"score_spread":0.233753385267038,"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."}}