{"id":"W6925338399","doi":"10.18712/nsd-nsd2121-v3","title":"Level of Living Survey EU-SILC, 2013","year":2022,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Theme (computing); Sample (material); Population; Politics; Descriptive statistics; Cultural activities; Vulnerability (computing); Survey data collection","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":[0.001969444,0.001374798,0.001729936,0.002799372,0.0005769947,0.002051685,0.002058588,0.001026585,0.02199113],"category_scores_gemma":[0.006152715,0.0006762819,0.001130068,0.007359954,0.0003061631,0.001044201,0.001732708,0.001320127,0.01963972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002654316,"about_ca_system_score_gemma":0.003199882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1282374,"about_ca_topic_score_gemma":0.1101229,"domain_scores_codex":[0.9977985,0.0003538433,0.0003885108,0.0005292058,0.0006038027,0.0003261312],"domain_scores_gemma":[0.997644,0.000288025,0.0004513702,0.0001804382,0.001236208,0.0001998951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001920448,0.00004429014,0.007995388,0.0009845902,0.00009961872,0.0000385329,0.00009680768,0.0003574954,0.00007677519,0.000998278,0.9855744,0.003541711],"study_design_scores_gemma":[0.0004271015,0.00006294754,0.1442237,0.001031307,0.0001169884,0.0001305681,0.0005299114,0.0005930478,0.0003654023,0.0007054353,0.8517258,0.00008773546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006943103,0.0001601535,0.00008455062,0.00005970323,0.0000374578,0.00003897165,0.9979741,0.00005485201,0.0008958514],"genre_scores_gemma":[0.002342625,0.0001943687,0.0003534355,0.00009757795,0.00001810205,0.0004624665,0.9946685,0.0000556149,0.00180723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1282374,"threshold_uncertainty_score":0.2549819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146048870991346,"score_gpt":0.3499463671981519,"score_spread":0.1353414800990172,"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."}}