{"id":"W4412103815","doi":"10.3390/machines13070591","title":"Deploying an Educational Mobile Robot","year":2025,"lang":"en","type":"article","venue":"Machines","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Human–computer interaction; Mobile robot; Robot; Artificial intelligence","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":[0.0003463165,0.0006105277,0.0004113008,0.0004722486,0.0002740551,0.0004972111,0.0009683828,0.0004620315,0.005467407],"category_scores_gemma":[0.001407358,0.0002316853,0.000315448,0.000226769,0.000216072,0.00062381,0.0009249102,0.0004446463,0.002164318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803026,"about_ca_system_score_gemma":0.0009360621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121203,"about_ca_topic_score_gemma":0.001952895,"domain_scores_codex":[0.9996256,0.00004329503,0.0000209819,0.00009308208,0.0001581387,0.00005889196],"domain_scores_gemma":[0.9995072,0.0001288766,0.00004570455,0.00006866963,0.0001693837,0.00008004166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000509974,0.000389099,0.01182864,0.0004141459,0.00005689803,0.000970986,0.0006630807,0.0299905,0.1202071,0.003861357,0.009716497,0.8213917],"study_design_scores_gemma":[0.0002353872,0.003273847,0.02786259,0.0003217018,0.0001781,0.00193652,0.001339599,0.5567011,0.2457805,0.003994582,0.1581792,0.0001968852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.153844,0.0001331479,0.8167529,0.0003724037,0.0001640231,0.0005531036,0.0004976165,0.02090606,0.006776664],"genre_scores_gemma":[0.5918385,0.0001584653,0.3977386,0.0001689791,0.0000376983,0.0003865839,0.0005846313,0.0003685367,0.008717965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005467407,"threshold_uncertainty_score":0.01829034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009433573202449398,"score_gpt":0.3108139716037169,"score_spread":0.3013803984012675,"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."}}