{"id":"W4383896415","doi":"10.33137/rr.v45i4.41393","title":"Erdmann, Alexander, PI. HER: Humanities Entity Recognizer. Software","year":2023,"lang":"en","type":"article","venue":"Renaissance and Reformation","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pi; Computer science; Software; Humanities; Programming language; Philosophy; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002334753,0.001278561,0.0006674235,0.004355679,0.001561757,0.003970731,0.001597491,0.003252907,0.1164502],"category_scores_gemma":[0.009763234,0.00110238,0.0003783907,0.005856672,0.001166185,0.0140748,0.003406183,0.003204781,0.148787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008705673,"about_ca_system_score_gemma":0.001196439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120921,"about_ca_topic_score_gemma":0.01451011,"domain_scores_codex":[0.9985234,0.0002192301,0.0001547747,0.0002803169,0.0007429043,0.00007941327],"domain_scores_gemma":[0.9952961,0.002629559,0.000290322,0.0004690177,0.001017701,0.0002974092],"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":[0.00003588468,0.00001149307,0.0001324576,0.0001367969,0.000005096898,0.00006006109,0.0001696909,0.00006317026,0.0003754126,0.004327279,0.864339,0.1303437],"study_design_scores_gemma":[0.00001863907,0.000006518403,0.0007505105,0.0002237897,0.00001479455,0.0002062147,0.0001970105,0.0006980692,0.001956239,0.006604307,0.9892895,0.00003443479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.003151487,0.1115031,0.2537707,0.1167538,0.01002711,0.0002889623,0.02681282,0.1323042,0.3453878],"genre_scores_gemma":[0.04529344,0.09479927,0.1164346,0.01794272,0.004560454,0.0005413842,0.02654821,0.03293005,0.6609499],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1164502,"threshold_uncertainty_score":0.3895646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244867875492049,"score_gpt":0.2432251541565486,"score_spread":0.1807764754016281,"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."}}