{"id":"W34378897","doi":"10.18388/pb.2021_374","title":"Modellbildung und Visualisierung: Das Sowinet.de-Wahlmodell","year":2002,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Visualization; Context (archaeology); Representation (politics); Information retrieval; Data visualization; Information visualization; Human–computer interaction; Data mining; Geography; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002101746,0.002431853,0.001325219,0.002256811,0.0005597883,0.003006125,0.002419632,0.002001129,0.07155885],"category_scores_gemma":[0.005131185,0.001322712,0.001775647,0.001349282,0.0004529808,0.002288523,0.00224164,0.003031714,0.01665328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005879909,"about_ca_system_score_gemma":0.001357158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005826403,"about_ca_topic_score_gemma":0.004368479,"domain_scores_codex":[0.9993067,0.0001873793,0.0000924597,0.000110575,0.0002443362,0.00005862755],"domain_scores_gemma":[0.9981774,0.001100723,0.00008826374,0.0002545031,0.0002914206,0.00008767038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001316657,0.0005708826,0.00255432,0.002772151,0.0005467057,0.001114868,0.0007953284,0.2801488,0.01086968,0.03051112,0.2487956,0.420004],"study_design_scores_gemma":[0.0004781289,0.00006935814,0.00069724,0.0002750469,0.00008730445,0.0002414828,0.0001204323,0.7787483,0.00998077,0.02415671,0.1850251,0.0001202458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005295843,0.0004290349,0.7817072,0.0006657589,0.0003775035,0.0003915045,0.01887124,0.1822223,0.01003969],"genre_scores_gemma":[0.08540577,0.001381586,0.8188881,0.0005041533,0.0001219664,0.002919933,0.04175659,0.03392503,0.01509695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07155885,"threshold_uncertainty_score":0.2393882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062978587028624,"score_gpt":0.2876174955133934,"score_spread":0.2569877096431072,"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."}}