{"id":"W7082971870","doi":"10.5281/zenodo.17185218","title":"CLARIN Workshop at RANLP 2025 - The First Workshop on Natural Language Processing and Language Models for Digital Humanities (LM4DH 2025)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"","keywords":"Event (particle physics); Language technology; Human language; Natural language; Digital humanities; Natural language understanding","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003390976,0.0002522345,0.0001938456,0.0003204032,0.001896857,0.002664519,0.001814919,0.0001497284,0.001419134],"category_scores_gemma":[0.0005359647,0.000214975,0.00006562265,0.0004467971,0.0002214447,0.0004236438,0.001594462,0.0004186901,0.0008844588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907978,"about_ca_system_score_gemma":0.00001667655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003599571,"about_ca_topic_score_gemma":0.00002754712,"domain_scores_codex":[0.9983094,0.0001032946,0.0002449773,0.0006146175,0.0003495838,0.000378077],"domain_scores_gemma":[0.9986885,0.0001535188,0.0001761778,0.0006881181,0.0002282955,0.00006544281],"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":[0.00003409237,0.00006227679,3.153265e-7,0.0001417316,0.00003600984,0.000004989792,0.009804788,0.000123541,0.00001608251,0.008577364,0.6516054,0.3295934],"study_design_scores_gemma":[0.0001370276,0.00004163391,0.000006042515,0.0004213142,0.00001706182,0.00001033528,0.003117569,0.01953827,0.0000745407,0.0004813321,0.975877,0.0002779102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003407369,0.005232254,0.1228614,0.003754936,0.0007250417,0.001875325,0.0002601829,0.001736315,0.8632138],"genre_scores_gemma":[0.07970592,0.0002533507,0.0009302175,0.0008119968,0.0007397879,0.000001428615,0.001110384,0.00238794,0.914059],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3293155,"threshold_uncertainty_score":0.9998935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05084504408730494,"score_gpt":0.2931041466465404,"score_spread":0.2422591025592355,"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."}}