{"id":"W6982924765","doi":"","title":"Künstliche Intelligenz in Bibliotheken : 34. Österreichischer Bibliothekartag Graz 2019 / von Köstner, Christina / „Suizid-Bücher“ – Provenienzforschung und bibliothekarische
\\nErinnerungsarbeit","year":2020,"lang":"de","type":"article","venue":"Unipub UB Graz (Universität Graz)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Context (archaeology); Persecution; Judaism","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","bibliometrics","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"category_scores_codex":[0.001871144,0.001847989,0.002215849,0.01819843,0.002180334,0.001473951,0.0034632,0.001408089,0.002091858],"category_scores_gemma":[0.000891271,0.001956639,0.001070576,0.06675942,0.002100776,0.005958325,0.001444782,0.002420133,0.001906772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008660512,"about_ca_system_score_gemma":0.001193817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02276697,"about_ca_topic_score_gemma":0.0215481,"domain_scores_codex":[0.9885766,0.001459314,0.001757855,0.002804779,0.002433375,0.002968066],"domain_scores_gemma":[0.9934864,0.001063077,0.001389987,0.001402079,0.000953455,0.001704968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002114621,0.003722971,0.2775795,0.001209531,0.005904776,0.001258622,0.1763047,0.0008586486,0.002157095,0.06169526,0.4458396,0.0213547],"study_design_scores_gemma":[0.005119726,0.001265074,0.01903429,0.0006275551,0.001634537,0.00001007691,0.05617521,0.006390763,0.0004158362,0.002011091,0.9034022,0.003913634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5952571,0.1534441,0.0072231,0.06622596,0.01086882,0.009159891,0.001808475,0.002897744,0.1531148],"genre_scores_gemma":[0.9188313,0.04643314,0.0009228913,0.004097186,0.003018031,0.00005577245,0.0003549634,0.000434539,0.02585213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4575626,"threshold_uncertainty_score":0.9998883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04000593763097571,"score_gpt":0.2865001308187764,"score_spread":0.2464941931878007,"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."}}