{"id":"W7125644405","doi":"10.1109/cascon66301.2025.00026","title":"ChatAcadien: A RAG-LLM-Based Chatbot for Exploring Acadian Genealogy","year":2025,"lang":"","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Chatbot; Inheritance (genetic algorithm); The Internet","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":[0.0007109135,0.0006243069,0.0003999324,0.001027114,0.001004361,0.0009362119,0.001351632,0.001130601,0.02389785],"category_scores_gemma":[0.003739701,0.0002021719,0.0003165965,0.0005451584,0.0005068064,0.001959388,0.002255327,0.0007087448,0.003908988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005732613,"about_ca_system_score_gemma":0.0005567613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004286873,"about_ca_topic_score_gemma":0.01163838,"domain_scores_codex":[0.9996389,0.000190805,0.00001146045,0.00006884886,0.0000558765,0.00003414453],"domain_scores_gemma":[0.9981894,0.001275923,0.00006159514,0.0001978666,0.00008858432,0.0001866423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003510791,0.0008303003,0.02371596,0.002776626,0.0002935627,0.004989502,0.02201652,0.03657337,0.06099113,0.089949,0.2438682,0.510485],"study_design_scores_gemma":[0.0003005599,0.0004914361,0.01106194,0.000389421,0.0001267993,0.001364463,0.00974133,0.448622,0.02364979,0.07040346,0.4336705,0.0001781936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2686087,0.001715938,0.4759829,0.001638786,0.0004903796,0.0006290423,0.01577041,0.124303,0.1108609],"genre_scores_gemma":[0.693138,0.0002886353,0.2653522,0.0004711427,0.00007518819,0.0005018322,0.009965558,0.002817885,0.02738955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957131,"threshold_uncertainty_score":0.07994628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09671413523017441,"score_gpt":0.3316629444609058,"score_spread":0.2349488092307314,"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."}}