{"id":"W4391402618","doi":"10.18280/ijsdp.190119","title":"Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"AI in Service Interactions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknikal Malaysia Melaka","keywords":"Chatbot; Computer science; Virtual learning environment; Multimedia; World Wide Web; Engineering; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00328222,0.0004388761,0.0004283511,0.0007973182,0.0004688813,0.001643248,0.0004226533,0.0005856949,0.002188611],"category_scores_gemma":[0.01081659,0.0002495178,0.0005803204,0.0003704737,0.0004391577,0.0007613247,0.0007795194,0.0008699641,0.0005138865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005499015,"about_ca_system_score_gemma":0.0008289346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001711813,"about_ca_topic_score_gemma":0.002287113,"domain_scores_codex":[0.9975054,0.0009117852,0.0002359185,0.0001468696,0.000840097,0.0003599929],"domain_scores_gemma":[0.9903753,0.003459221,0.001811744,0.0002909526,0.002165643,0.001897128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001124048,0.00755335,0.8220805,0.0007292479,0.0001172476,0.0006626457,0.06048083,0.0009214105,0.01254602,0.0003740799,0.0009830146,0.09242757],"study_design_scores_gemma":[0.00005283578,0.01019744,0.9133613,0.0002162607,0.0001422838,0.0002998657,0.0608926,0.00450456,0.006981088,0.0001596573,0.003067661,0.0001243462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992848,0.00001863952,0.0000886155,0.00002165978,0.00000292414,0.00002501649,0.0000102196,0.00000417997,0.0005438897],"genre_scores_gemma":[0.9988027,0.00006726888,0.0003238417,0.00001679272,0.000002643761,0.00003922555,0.00002075477,0.000002640174,0.0007241631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00328222,"threshold_uncertainty_score":0.01735824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764535981006061,"score_gpt":0.3840098813742106,"score_spread":0.36636452156415,"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."}}