{"id":"W4399156362","doi":"10.21428/3e88f64f.40df87bb","title":"Review: War History on the Semantic Web","year":2024,"lang":"en","type":"article","venue":"Reviews in Digital Humanities","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Medicine Hat College; University of Alberta","funders":"","keywords":"Semantic Web; World Wide Web; Computer science; Social Semantic Web; Semantic Web Stack; Semantic analytics; Information retrieval","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000756918,0.0004103606,0.0005764264,0.0002233549,0.0002331607,0.001316902,0.0005958145,0.00004108269,0.008753345],"category_scores_gemma":[0.0002545974,0.0002532698,0.0004145105,0.00006934443,0.0006314615,0.001767758,0.0001133189,0.0005326867,0.004488054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471203,"about_ca_system_score_gemma":0.00008557468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002160599,"about_ca_topic_score_gemma":0.0004279891,"domain_scores_codex":[0.9979262,0.00008586426,0.0008003702,0.000408341,0.0003415014,0.0004376917],"domain_scores_gemma":[0.9988018,0.0004169541,0.0001060303,0.0005540649,0.00007057055,0.00005060031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002329097,0.00003852391,0.000002200727,0.001878039,0.00001407915,0.00002529368,0.003830073,6.720806e-8,2.146941e-7,0.5621612,0.4228629,0.00918506],"study_design_scores_gemma":[0.00005004409,0.00009320329,0.000002210727,0.01441359,0.00002842263,0.00001001579,0.001303025,0.00001272436,6.262991e-7,0.01070355,0.9730474,0.0003351881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001519671,0.443931,1.708011e-7,0.0004011748,0.0009900681,0.000515745,0.0000505771,0.0001465034,0.5524452],"genre_scores_gemma":[0.3413023,0.2534931,0.000001919607,0.0201236,0.001895274,0.0005201469,0.000102465,0.0001481542,0.382413],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5514576,"threshold_uncertainty_score":0.999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211074836499175,"score_gpt":0.2621304464537766,"score_spread":0.1410229628038591,"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."}}