{"id":"W4392862147","doi":"10.48175/ijarsct-15750","title":"Large Language Model for Chatbot","year":2024,"lang":"en","type":"article","venue":"International Journal of Advanced Research in Science Communication and Technology","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Chatbot; Computer science; Natural language processing; Programming language","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":[0.003493713,0.00004194197,0.00008473931,0.002264155,0.0001223043,0.0002557737,0.00234766,0.00003379124,0.00000292498],"category_scores_gemma":[0.0003712406,0.00003482879,0.000027816,0.001438487,0.0003167459,0.0009219606,0.0006189583,0.000307501,0.00000183595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009647357,"about_ca_system_score_gemma":0.0002086661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001159491,"about_ca_topic_score_gemma":0.000007613369,"domain_scores_codex":[0.9988418,0.00003458467,0.0002569353,0.0001596754,0.0005187957,0.0001882041],"domain_scores_gemma":[0.9985851,0.0002283424,0.00007188143,0.0002849937,0.0007895804,0.00004011154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009506371,0.00005681054,0.0001977743,0.000005435762,0.00001527472,0.00001337973,0.002008301,0.0005871257,0.01645842,0.7517708,0.0001075233,0.2287697],"study_design_scores_gemma":[0.0003256933,0.0000504688,0.0000629808,0.0001431893,8.859352e-7,0.0000362586,0.001466129,0.9122214,0.003283177,0.07769567,0.00466719,0.0000469652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1545269,0.01216388,0.7595123,0.07206373,0.0005546613,0.0002064599,0.000004192643,0.00006843846,0.0008994048],"genre_scores_gemma":[0.9335063,0.001300491,0.06503588,0.00003934006,0.00001609478,0.000008205807,7.333263e-7,0.000002447294,0.00009049895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9116343,"threshold_uncertainty_score":0.4362576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07212575835808421,"score_gpt":0.4771778357652539,"score_spread":0.4050520774071696,"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."}}