{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00328251,0.0009845613,0.002571042,0.007026442,0.0008129036,0.004299513,0.0013282,0.004274282,0.009116691],"category_scores_gemma":[0.0142603,0.000512559,0.001199139,0.008360501,0.002112769,0.005701337,0.002404479,0.004013811,0.003123837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00243584,"about_ca_system_score_gemma":0.008111243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003356553,"about_ca_topic_score_gemma":0.00833049,"domain_scores_codex":[0.9982439,0.0005164352,0.0002927565,0.0002545934,0.000532136,0.0001601203],"domain_scores_gemma":[0.9884949,0.006573454,0.001257156,0.0003443119,0.00255455,0.0007755229],"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":[0.0001524149,0.0000214302,0.0001631756,0.05016132,0.0003772946,0.0001537362,0.0001514578,0.0001019418,0.0004053111,0.00470495,0.695963,0.2476439],"study_design_scores_gemma":[0.000030436,0.00002435138,0.0004633738,0.02549561,0.0003194178,0.00019103,0.0001045248,0.00001618035,0.00006743447,0.001970695,0.9713002,0.00001672002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006894264,0.9797156,0.00009929982,0.01151902,0.007226859,0.0000140656,0.0001071195,0.00001869884,0.001230481],"genre_scores_gemma":[0.001238354,0.9711145,0.0001438121,0.01953229,0.006623223,0.00002511511,0.0001399635,0.00001336324,0.0011694],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009116691,"threshold_uncertainty_score":0.03049833,"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."}}