{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006145788,0.0003364376,0.0002728363,0.001451589,0.003227193,0.004102315,0.0008350163,0.001068953,0.003993735],"category_scores_gemma":[0.02309196,0.000372358,0.000345939,0.000797599,0.003871897,0.004010038,0.003716055,0.001413739,0.000540523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427833,"about_ca_system_score_gemma":0.001085608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271202,"about_ca_topic_score_gemma":0.001465231,"domain_scores_codex":[0.9924724,0.005996409,0.0001391038,0.000459092,0.0006611644,0.000271826],"domain_scores_gemma":[0.9748745,0.02064086,0.002094258,0.0004977576,0.001222896,0.0006695952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008085411,0.0001355157,0.01659216,0.0001711233,0.0000197494,0.0006644965,0.9423659,0.0002686919,0.006217753,0.007186627,0.0003141168,0.02598287],"study_design_scores_gemma":[0.00003886505,0.0003699527,0.03991625,0.0002129851,0.00004605178,0.0009329427,0.9030306,0.002988727,0.008905917,0.00815607,0.03532023,0.0000815197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587302,0.0003451854,0.02152028,0.000591125,0.00003760891,0.0002166565,0.00004337805,0.00006500989,0.01845058],"genre_scores_gemma":[0.991168,0.0001571124,0.00550737,0.00005160046,0.000009625164,0.0001529835,0.00001988556,0.00001678991,0.002916708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006145788,"threshold_uncertainty_score":0.03250241,"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."}}