{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002273231,0.00007293964,0.00006810422,0.00009618836,0.0002402457,0.0002117319,0.0004934791,0.00002430746,0.00001371918],"category_scores_gemma":[0.00005752987,0.00006543689,0.00003015238,0.0002278585,0.00001485571,0.0002305642,0.000107021,0.0001463418,0.00002340935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001634438,"about_ca_system_score_gemma":0.00005706236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002327466,"about_ca_topic_score_gemma":0.00002523459,"domain_scores_codex":[0.9993711,0.00007747961,0.00009409297,0.0002271951,0.000087742,0.0001423952],"domain_scores_gemma":[0.9995309,0.00008299701,0.00002663759,0.0002970952,0.00002336809,0.00003907376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001042516,0.0000768226,0.03263659,0.00001037349,0.000007333309,8.512658e-7,0.0009433634,0.002382705,0.0001733095,0.03896337,0.000335964,0.9244683],"study_design_scores_gemma":[0.000652975,0.0002098557,0.2828416,0.0001391845,0.00002279197,0.00003638519,0.0002022068,0.2453491,0.0003682904,0.01709927,0.4523508,0.0007275424],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1644504,0.0006482828,0.8269573,0.003467321,0.00116709,0.0001265001,3.673145e-7,0.0007441271,0.002438654],"genre_scores_gemma":[0.8544071,0.000001092206,0.1431282,0.0002986783,0.00008686179,0.00003006635,0.0000034753,0.000004805325,0.002039789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9237407,"threshold_uncertainty_score":0.2668439,"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."}}