{"id":"W2956725347","doi":"10.24357/igjr.5.1.730","title":"Youth’s underrepresentation in the European Parliament: Insights from interviews with young Members of the European Parliament (MEPs)","year":2019,"lang":"en","type":"article","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Parliament; Politics; Political science; Qualitative research; Law; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.008582383,0.0002982534,0.0003605571,0.0001117377,0.009873763,0.003541427,0.01304482,0.00006034614,0.00002455572],"category_scores_gemma":[0.0002412181,0.0001639792,0.000240223,0.003364659,0.007335356,0.004348193,0.001640297,0.000307848,0.00001673584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000445713,"about_ca_system_score_gemma":0.0009854248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06097988,"about_ca_topic_score_gemma":0.04052153,"domain_scores_codex":[0.9921988,0.003250728,0.0007160053,0.0008846655,0.002210531,0.0007392569],"domain_scores_gemma":[0.997633,0.0002957651,0.001141699,0.0005932,0.0002383771,0.00009796389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001730147,0.0004946369,0.0548011,0.00004408828,0.0001237036,0.00001564759,0.6758546,0.0008293312,0.001939746,0.2337542,0.003517948,0.02845196],"study_design_scores_gemma":[0.001856915,0.0001346051,0.667164,0.0003418421,0.0001906033,0.000003063368,0.2633932,0.00008504093,0.001063668,0.003290348,0.06156651,0.0009102096],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.293734,0.000135278,0.0001699646,0.003640035,0.002179022,0.002273042,0.00004216805,0.00003270698,0.6977938],"genre_scores_gemma":[0.9968432,0.00007666335,0.00005312267,0.0009268496,0.0008680716,0.00005411577,0.000005108916,0.0000231638,0.00114972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7031093,"threshold_uncertainty_score":0.997493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077984252586826,"score_gpt":0.3932518760964993,"score_spread":0.2854534508378166,"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."}}