{"id":"W4413360482","doi":"10.1109/sse67621.2025.00032","title":"Towards a DIY Robotic Tail Toolkit for Future Service Robot and Computing Education","year":2025,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Robot; Service (business); Human–computer interaction; Service robot; Software engineering; Artificial intelligence; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002099839,0.0006079716,0.0002738068,0.0006399829,0.0007570826,0.001403315,0.001846024,0.001024029,0.007711751],"category_scores_gemma":[0.00308631,0.000610663,0.0005944247,0.0002543782,0.001147871,0.002489023,0.004261268,0.001776383,0.003411229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009666719,"about_ca_system_score_gemma":0.002708068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778684,"about_ca_topic_score_gemma":0.003849566,"domain_scores_codex":[0.9987811,0.0002427104,0.00007093273,0.0001080597,0.0006072081,0.0001898816],"domain_scores_gemma":[0.9985304,0.0002637197,0.0001287139,0.0002264206,0.0003609564,0.0004898686],"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":[0.0006604521,0.001769559,0.01053687,0.001575924,0.00005315903,0.001383363,0.008148705,0.0331808,0.2274002,0.07322697,0.02879929,0.6132647],"study_design_scores_gemma":[0.0001923645,0.002582448,0.01018327,0.0008306988,0.00005887248,0.002421007,0.003317653,0.1826569,0.1216731,0.02648133,0.6492894,0.0003128944],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06329574,0.000197674,0.9023514,0.0008036643,0.00009187614,0.001028292,0.0001387779,0.01304245,0.01905017],"genre_scores_gemma":[0.1229165,0.0002607378,0.8411703,0.0003406034,0.00001698678,0.0007459622,0.0004058657,0.001780779,0.03236214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007711751,"threshold_uncertainty_score":0.02579832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161942560189205,"score_gpt":0.2833578161038546,"score_spread":0.2717383905019625,"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."}}