{"id":"W4415742581","doi":"10.1016/j.pan.2025.07.175","title":"Exploring Chatbot Applications in Pancreatic Disease Treatment: Potential and Pitfalls","year":2025,"lang":"en","type":"article","venue":"Pancreatology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Chatbot; Disease; MEDLINE; Disease monitoring; Pancreatic disease","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":[],"consensus_categories":[],"category_scores_codex":[0.00005992232,0.0001031446,0.0002553781,0.0002093719,0.00008633072,0.000008420702,0.00003241211,0.00005193403,0.00002653208],"category_scores_gemma":[0.00007854405,0.00009110314,0.00003470654,0.0002315168,0.00007410975,0.00006283283,0.00001444519,0.00007350684,0.00001978002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010028,"about_ca_system_score_gemma":0.0001835734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639892,"about_ca_topic_score_gemma":0.0001587734,"domain_scores_codex":[0.9991967,0.0000428979,0.0002501018,0.0002508311,0.0000439885,0.0002154516],"domain_scores_gemma":[0.9994417,0.0001465862,0.00003050766,0.0002126061,0.0000384062,0.0001302239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001955927,0.000257058,0.9297402,0.0001493803,0.00003840526,0.00002794319,0.0007145689,0.000006211425,0.0002676752,0.01207468,0.00002376527,0.05650454],"study_design_scores_gemma":[0.0003820076,0.0002392099,0.9720207,0.000228145,0.0004844278,0.00003937366,0.003194613,0.0007284535,0.004479042,0.01006073,0.007938797,0.0002045186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921079,0.00217467,0.0006612579,0.003370915,0.0001388252,0.0005748051,0.000003741944,0.00004064259,0.0009272424],"genre_scores_gemma":[0.9954803,0.002759595,0.0001465208,0.0002277617,0.00008892055,0.0008407866,0.00004052051,0.000007498033,0.0004081233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05630002,"threshold_uncertainty_score":0.3715078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1808803202136726,"score_gpt":0.4024273476068089,"score_spread":0.2215470273931363,"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."}}