{"id":"W4388196460","doi":"10.22318/cscl2023.305722","title":"Investigating Relationship Development Processes Between 3D Conversational Agents and Learners in Collaborative Discussions","year":2023,"lang":"en","type":"article","venue":"Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science","keywords":"Facilitation; Computer science; Face (sociological concept); Psychology; Qualitative research; Key (lock); Computer-mediated communication; Mathematics education; Knowledge management; World Wide Web; Linguistics","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002773917,0.001456022,0.001557638,0.001345244,0.002792051,0.001069771,0.001204876,0.000801422,0.0005177742],"category_scores_gemma":[0.001106998,0.001297931,0.0001187758,0.01426318,0.001336023,0.001096267,0.0008927765,0.003680887,0.0005659545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668177,"about_ca_system_score_gemma":0.004912388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009269095,"about_ca_topic_score_gemma":0.0004395264,"domain_scores_codex":[0.988273,0.003650096,0.002248056,0.002488071,0.001454961,0.00188585],"domain_scores_gemma":[0.9884973,0.004240341,0.002116069,0.0008037683,0.003627384,0.0007152014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001754649,0.0002473539,0.7861008,0.0002111099,0.0007814456,0.0002125311,0.1289394,0.02894422,0.00006084494,0.003058414,0.009524524,0.04174391],"study_design_scores_gemma":[0.003742439,0.001514872,0.7214787,0.0006581384,0.0001491574,0.00002465365,0.02570945,0.1682198,0.00004197731,0.0004388618,0.07607535,0.001946565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427199,0.0002100705,0.0442748,0.002851533,0.003491937,0.003158196,0.0002685934,0.001291618,0.001733367],"genre_scores_gemma":[0.9782131,0.0001283735,0.01309286,0.0003423655,0.001621983,0.000766282,0.002278166,0.0001963033,0.003360535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1392756,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04097361466616425,"score_gpt":0.314918928033358,"score_spread":0.2739453133671937,"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."}}