{"id":"W4389336149","doi":"10.5325/hungarianstud.50.1-2.0254","title":"In Memoriam: Susan Glanz (1949–2022)","year":2023,"lang":"en","type":"article","venue":"Hungarian Studies Review","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; State (computer science); Sociology; Political science; Management; History; Economics; Ancient history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001613846,0.001418472,0.0009082495,0.001120349,0.004363511,0.004586902,0.001443464,0.004309846,0.06545359],"category_scores_gemma":[0.01165555,0.0003929186,0.0006439249,0.0006676854,0.001351629,0.003677296,0.004188033,0.01036918,0.04884903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002621045,"about_ca_system_score_gemma":0.00281988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005246503,"about_ca_topic_score_gemma":0.009485063,"domain_scores_codex":[0.9987783,0.0002191863,0.00009165644,0.000256973,0.0004632551,0.0001905601],"domain_scores_gemma":[0.9961408,0.0005518059,0.0003006596,0.0001218685,0.001723753,0.001161119],"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":[0.000005882731,0.000001950764,0.00002943914,0.00001138198,7.686996e-7,0.00004798606,0.00003988904,0.000002977848,0.00001356736,0.0001613771,0.9972003,0.002484508],"study_design_scores_gemma":[0.00000379436,0.000006877083,0.0002063902,0.00008409742,0.000002119162,0.0001462082,0.0002263912,0.00001080162,0.00003883709,0.0002849245,0.9989819,0.000007626479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003175026,0.009080534,0.0002094267,0.36068,0.615407,0.00004160379,0.0005328379,0.0002186747,0.01351246],"genre_scores_gemma":[0.01076928,0.01181613,0.0005850042,0.3319645,0.2375635,0.0002525902,0.0007481398,0.0004131126,0.4058877],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06545359,"threshold_uncertainty_score":0.218964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444334445101182,"score_gpt":0.4483297271813339,"score_spread":0.3038962826712157,"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."}}