{"id":"W6905886024","doi":"10.15488/16485","title":"Vertikale und horizontale Ungleichheiten am Übergang in die tertiäre Bildung - Unterschiede nach dem Migrationshintergrund und der sozialen Herkunft -","year":2024,"lang":"en","type":"dissertation","venue":"Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover)","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Logistic regression; Field (mathematics); Empirical research; Quarter (Canadian coin); Higher education; Social influence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000320194,0.001142636,0.001433971,0.002408692,0.001005303,0.0001660882,0.0009490697,0.00132742,0.0007828507],"category_scores_gemma":[0.0004963491,0.001205126,0.0008556637,0.001910061,0.0008506804,0.002593487,0.0003248673,0.002022536,0.0001520711],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942145,"about_ca_system_score_gemma":0.008094081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002630431,"about_ca_topic_score_gemma":0.002460408,"domain_scores_codex":[0.9939559,0.0002232501,0.001426738,0.001655805,0.00179257,0.0009457729],"domain_scores_gemma":[0.9957318,0.0002878634,0.0007573276,0.0009772999,0.0009373542,0.001308375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02683852,0.02150227,0.02992555,0.01969996,0.04011671,0.05911865,0.06509716,0.003326432,0.2834063,0.3254684,0.11722,0.008280026],"study_design_scores_gemma":[0.0114287,0.001559115,0.02400173,0.01766608,0.0105543,0.00082935,0.02518231,0.001171725,0.01692717,0.001006971,0.8859705,0.003702028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8055471,0.0154918,0.000635874,0.00387623,0.009505547,0.00225272,0.0006733428,0.0004970238,0.1615203],"genre_scores_gemma":[0.8788635,0.0003439021,0.0005947601,0.000491106,0.0007316298,0.00001524366,0.003968071,0.0001278243,0.1148639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7687505,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221238522671928,"score_gpt":0.2908526873473274,"score_spread":0.2786403021206081,"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."}}