{"id":"W2073721355","doi":"10.1007/s12392-008-0052-8","title":"Metis Wien – Supporting Good Governance","year":2008,"lang":"de","type":"article","venue":"Zeitschrift für Politikberatung","topic":"Corporate Law and Human Rights","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Corporate governance; Political science; Humanities; Art; Management; Computer science; World Wide Web; Economics","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":[0.004631698,0.0004459122,0.0002418675,0.001238734,0.00169763,0.005343631,0.0008624874,0.001621995,0.02500874],"category_scores_gemma":[0.009035919,0.0003828189,0.0002907595,0.001323189,0.001397475,0.004135936,0.006006519,0.001389271,0.004599942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002848212,"about_ca_system_score_gemma":0.006133385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008994621,"about_ca_topic_score_gemma":0.0130729,"domain_scores_codex":[0.9961578,0.00140549,0.0002132601,0.0004196053,0.001185756,0.0006180516],"domain_scores_gemma":[0.9952863,0.0007637668,0.0006717143,0.001300399,0.00070283,0.001275072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006933502,0.0002368628,0.007259768,0.0007847087,0.00006207139,0.0009094381,0.003583492,0.008174849,0.01076737,0.5223473,0.2387615,0.2064192],"study_design_scores_gemma":[0.00006070385,0.00005620724,0.003477938,0.000196257,0.000008275291,0.0001044875,0.0005838478,0.002693031,0.002403763,0.02917538,0.9612136,0.00002657301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1121511,0.006464833,0.04127225,0.04442692,0.002168065,0.0006872653,0.004394102,0.006435129,0.7820004],"genre_scores_gemma":[0.6337082,0.003951487,0.05924782,0.003744513,0.0004834227,0.0006471977,0.008747307,0.002511191,0.2869588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02500874,"threshold_uncertainty_score":0.08366257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897142376410757,"score_gpt":0.24143377795868,"score_spread":0.2224623541945724,"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."}}