{"id":"W4285045211","doi":"10.1007/s10796-022-10295-0","title":"Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot","year":2022,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Topic Modeling","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atomic Energy of Canada Limited","keywords":"Computer science; Adapter (computing); Chatbot; Natural language processing; Artificial intelligence; Parsing; Programming language; Information retrieval; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011007,0.0001256095,0.000183733,0.0004971325,0.0003891509,0.0001892609,0.0004417235,0.00006316438,0.0000033128],"category_scores_gemma":[0.0001930841,0.0001306503,0.00005596996,0.0003890542,0.00002778818,0.0007262251,0.00014456,0.0001704484,0.00001048853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221426,"about_ca_system_score_gemma":0.0001642441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420638,"about_ca_topic_score_gemma":0.000004813412,"domain_scores_codex":[0.9984174,0.00009678132,0.0005412449,0.0001978643,0.0005149746,0.0002316841],"domain_scores_gemma":[0.9991026,0.00009203419,0.0002000365,0.0002196038,0.0001992377,0.0001865241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002191756,0.00001713698,0.0002365197,0.0001018329,0.00001992026,3.344307e-7,0.01635175,0.8857074,0.000001937763,0.01489859,0.002452679,0.08018993],"study_design_scores_gemma":[0.0005421296,0.00006441487,0.00001745529,0.00001762872,0.000004631034,0.00000630121,0.002295774,0.9545509,0.000008171949,0.0002122339,0.04213488,0.0001455396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001675811,0.0004278661,0.9949821,0.0004177813,0.001228739,0.0007669118,0.000008367985,0.0001673566,0.0003250625],"genre_scores_gemma":[0.9719392,0.0000111721,0.02668512,0.0005052358,0.00003211184,0.0006178108,0.00003793645,0.000008467717,0.0001629122],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9702634,"threshold_uncertainty_score":0.5327765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752494632565285,"score_gpt":0.2484159739786928,"score_spread":0.23089102765304,"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."}}