{"id":"W6922417960","doi":"10.11586/2024029","title":"PR steht für politische Repression","year":2024,"lang":"de","type":"article","venue":"Bertelsmann Stiftung","topic":"Public Administration and Political Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Politics; Psychological repression; Government (linguistics)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009527776,0.0003382026,0.0004192711,0.0002348832,0.0007428605,0.00129115,0.0005154233,0.0003978456,0.006655905],"category_scores_gemma":[0.0005800767,0.0003007298,0.0004194035,0.001192305,0.0005323005,0.0006212686,0.000165714,0.0005336122,0.005871003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839705,"about_ca_system_score_gemma":0.0009431717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002245192,"about_ca_topic_score_gemma":0.0003466007,"domain_scores_codex":[0.9960263,0.0005101252,0.0006666251,0.0008455839,0.0009479612,0.001003354],"domain_scores_gemma":[0.9978027,0.0005841838,0.0001016071,0.0005037723,0.0001535517,0.0008541492],"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":[0.00001345035,0.0001467001,0.0002833362,0.0001754049,0.0004149691,0.0001659621,0.006967012,0.000004645445,0.00005988287,0.8566723,0.1075824,0.027514],"study_design_scores_gemma":[0.0001262946,0.00005358587,0.0006184737,0.0002833549,0.000436463,0.000005841566,0.001871512,0.003839554,0.0001071737,0.00815373,0.9840856,0.0004183955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01375645,0.03365871,0.002112248,0.09932899,0.01041709,0.0007425738,0.0004102267,0.001088022,0.8384857],"genre_scores_gemma":[0.8335705,0.0008348352,0.0001415615,0.001022039,0.004325857,0.00002476662,0.0001110365,0.00003755338,0.1599318],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8765033,"threshold_uncertainty_score":0.9999445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750127580562273,"score_gpt":0.3913003755065129,"score_spread":0.3537990997008901,"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."}}