{"id":"W4417414151","doi":"10.24193/ed21.2025.31.17","title":"Can GenAI Communicate? University Students' Views on Generative Language and Image Models","year":2025,"lang":"en","type":"article","venue":"Educatia 21","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interview; The arts; Generative grammar; Training (meteorology); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00602417,0.000423791,0.0002897617,0.001398563,0.002895989,0.01016756,0.0007753976,0.002112929,0.004313008],"category_scores_gemma":[0.01189141,0.0002484448,0.0003376401,0.0008016717,0.01074435,0.006363582,0.003393405,0.003910308,0.0007140961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667135,"about_ca_system_score_gemma":0.0008641734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002698592,"about_ca_topic_score_gemma":0.002447832,"domain_scores_codex":[0.9969302,0.002013793,0.00006561325,0.0001904095,0.0004727246,0.0003273156],"domain_scores_gemma":[0.9921219,0.004811255,0.0008387262,0.0005404425,0.0006416052,0.001046032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001211809,0.0001329135,0.02540346,0.0001105481,0.00002431375,0.0007634591,0.7542549,0.0008373559,0.001702754,0.1686986,0.005016609,0.04293387],"study_design_scores_gemma":[0.00001750507,0.0002163607,0.01737297,0.0002804293,0.0000364215,0.001063135,0.7652721,0.004114384,0.002069495,0.05318237,0.1562614,0.0001133746],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433198,0.003354952,0.005133974,0.03126115,0.0002140854,0.00001899344,0.00004568847,0.0001071768,0.116544],"genre_scores_gemma":[0.9963095,0.0005228607,0.0002077101,0.0004185464,0.00003330503,0.000003578375,0.000007613741,0.00001766389,0.002479353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016756,"threshold_uncertainty_score":0.03185922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170549042998932,"score_gpt":0.4219429055254734,"score_spread":0.370237415095484,"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."}}