{"id":"W4401391375","doi":"10.5325/hungarianstud.51.1.0117","title":"Call for Submissions","year":2024,"lang":"en","type":"article","venue":"Hungarian Studies Review","topic":"Central European national history","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009272633,0.0000725742,0.0001855284,0.00003052763,0.0004461957,0.00002134366,0.0001269666,0.00001899979,0.0002607196],"category_scores_gemma":[0.001543578,0.00005989992,0.0001375395,0.0002232224,0.0001574549,0.00007277814,0.00003306458,0.00006913444,0.0002713228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257856,"about_ca_system_score_gemma":0.0001789475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001457804,"about_ca_topic_score_gemma":0.00016252,"domain_scores_codex":[0.9991045,0.0001286729,0.0001841184,0.0001832358,0.000209523,0.0001899241],"domain_scores_gemma":[0.9992874,0.0003777522,0.00002732634,0.00008975965,0.0001381955,0.0000795894],"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":[8.005348e-7,0.000007064722,0.000002623941,0.001296804,0.00004536559,0.000005531499,0.001140553,6.391866e-8,0.000002418016,0.1436466,0.7864975,0.06735471],"study_design_scores_gemma":[0.00003152035,0.00001076267,0.00003650734,0.001510125,0.00007525431,5.993365e-7,0.0001837233,0.000002116954,4.360713e-7,0.0003789324,0.9976943,0.00007569119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004036608,0.8453336,0.0001104032,0.01661696,0.0009927808,0.0005483112,0.00001281184,0.0001208376,0.1362602],"genre_scores_gemma":[0.00244225,0.9209654,0.0008140517,0.00264639,0.000852673,0.0001211286,0.000009520254,0.00002367126,0.07212491],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2111968,"threshold_uncertainty_score":0.3487396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1555004533147371,"score_gpt":0.4550999745623208,"score_spread":0.2995995212475837,"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."}}