{"id":"W6980833552","doi":"","title":"CSR-Maßnahmen in Banken in Österreich und Deutschland Dokumentenanalyse und Befragung","year":2016,"lang":"de","type":"article","venue":"University Library Linz repository (Johannes Kepler Universitat Linz)","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Quarter (Canadian coin); Duration (music)","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"],"consensus_categories":[],"category_scores_codex":[0.0003119223,0.0008163176,0.001121534,0.001828023,0.0005739484,0.0002426563,0.001605769,0.0006638303,0.0004330798],"category_scores_gemma":[0.00004561057,0.0007728114,0.0005082674,0.00210126,0.0004105791,0.003275904,0.0009972929,0.0006645801,0.0003365934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007971058,"about_ca_system_score_gemma":0.0004967782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007617216,"about_ca_topic_score_gemma":0.0006657446,"domain_scores_codex":[0.9952201,0.0006830948,0.0009906075,0.00140384,0.0005886644,0.001113653],"domain_scores_gemma":[0.9960819,0.001304784,0.0006707416,0.001252883,0.0001335746,0.0005561274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01118457,0.009365399,0.7468365,0.00240058,0.008206245,0.02195788,0.02906849,0.001525194,0.004018529,0.09102084,0.07006909,0.004346718],"study_design_scores_gemma":[0.04913338,0.001255198,0.03282145,0.005616492,0.007012036,0.0000708365,0.03350394,0.003769977,0.005077044,0.01018704,0.8458846,0.005668007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202252,0.006809971,0.001034108,0.006285486,0.001459422,0.002254338,0.0004557652,0.0004604773,0.06101522],"genre_scores_gemma":[0.9201264,0.005620155,0.002137518,0.0001598739,0.0007029328,0.000004929911,0.0001447442,0.0001649478,0.07093845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7758155,"threshold_uncertainty_score":0.9994723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154429653070458,"score_gpt":0.2294040855188609,"score_spread":0.2178597889881563,"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."}}