{"id":"W4405862116","doi":"10.1145/3688828.3699633","title":"Integrating Function and Connection: Two Perspectives to Telepresence Robot Design for Classroom","year":2024,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Science Foundation","keywords":"Telerobotics; Connection (principal bundle); Computer science; Robot; Function (biology); Human–computer interaction; Multimedia; Mobile robot; Artificial intelligence; Engineering","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":[0.00352312,0.0008541454,0.0002759447,0.001055012,0.002287133,0.005965506,0.001333853,0.001934146,0.004899225],"category_scores_gemma":[0.005510732,0.0003990619,0.0003274532,0.0003761908,0.00886819,0.005063815,0.003323475,0.001641576,0.0004566337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705923,"about_ca_system_score_gemma":0.001293882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007248182,"about_ca_topic_score_gemma":0.001469056,"domain_scores_codex":[0.9956979,0.003102164,0.00008658183,0.0003199703,0.0004759504,0.0003174652],"domain_scores_gemma":[0.9955449,0.002790713,0.0003438698,0.0002782359,0.0003736489,0.0006686946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002580399,0.0005768737,0.01202643,0.0008334994,0.0000291673,0.001531065,0.5099103,0.001784348,0.02435991,0.2561771,0.002711141,0.1898021],"study_design_scores_gemma":[0.000115344,0.001583764,0.01960996,0.001063861,0.0001262428,0.004337183,0.5519727,0.01346639,0.01798395,0.08833864,0.3012429,0.0001589971],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.474761,0.001975536,0.391026,0.01111646,0.0002728022,0.0002442824,0.00003654971,0.0004765634,0.1200909],"genre_scores_gemma":[0.9553505,0.0004318729,0.03713231,0.0002817797,0.00003697266,0.0001551025,0.00001290016,0.00007667676,0.006521808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005965506,"threshold_uncertainty_score":0.01863229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457422776629567,"score_gpt":0.3063713251866882,"score_spread":0.2717970974203926,"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."}}