{"id":"W4392305414","doi":"10.5220/0012351200003654","title":"Information Retrieval Chatbot on Military Policies and Standards","year":2024,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Government of Canada; Simon Fraser University; Department of National Defence","funders":"","keywords":"Chatbot; Computer science; Information retrieval; World Wide Web","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":[0.00390232,0.000814376,0.0009602907,0.001879253,0.001937318,0.002452188,0.001175628,0.002623047,0.05697219],"category_scores_gemma":[0.01666137,0.0005714025,0.0005863958,0.001406132,0.0008121894,0.005766194,0.002899222,0.002688819,0.02137287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725605,"about_ca_system_score_gemma":0.001414297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556845,"about_ca_topic_score_gemma":0.006528627,"domain_scores_codex":[0.9972318,0.001518303,0.000119509,0.0002509188,0.0006023248,0.0002771473],"domain_scores_gemma":[0.9859483,0.01028118,0.0003006274,0.001501325,0.001115847,0.0008527155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001386757,0.000656003,0.002208672,0.0005587878,0.00005594849,0.0005862223,0.002040359,0.00905808,0.008599362,0.07857621,0.736421,0.1598526],"study_design_scores_gemma":[0.0004817478,0.0004746727,0.003892689,0.0003202309,0.00007573736,0.00049282,0.001983295,0.2234498,0.01829156,0.09803768,0.6523288,0.0001709138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08069157,0.001946538,0.4710018,0.02799733,0.00301665,0.0008995224,0.01845766,0.1309404,0.2650486],"genre_scores_gemma":[0.6142957,0.001122512,0.125605,0.005833593,0.001747453,0.0008392826,0.02785572,0.01239636,0.2103044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05697219,"threshold_uncertainty_score":0.190591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231430187575152,"score_gpt":0.2629558411921978,"score_spread":0.2506415393164463,"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."}}