{"id":"W2611460745","doi":"10.1145/3027063.3053346","title":"Using Robotics and 3D Printing to Introduce Youth to Computer Science and Electromechanical Engineering","year":2017,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Robotics; Artificial intelligence; 3D printing; Computer science; Engineering education; 3d printer; Educational robotics; Human–computer interaction; Engineering management; Multimedia; Robot; Engineering; Mechanical 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":[0.001758657,0.0008884752,0.0003259823,0.0004940258,0.0008760635,0.002017121,0.0009734,0.00107211,0.008818558],"category_scores_gemma":[0.001518997,0.0002771034,0.0008254286,0.0002279468,0.001402469,0.001303189,0.003324781,0.001144862,0.003306828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932943,"about_ca_system_score_gemma":0.000514959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002664629,"about_ca_topic_score_gemma":0.0007222515,"domain_scores_codex":[0.9988338,0.0004672334,0.00004256576,0.000163414,0.0002334789,0.000259557],"domain_scores_gemma":[0.9989255,0.0003683284,0.0001002852,0.00008657634,0.00009222896,0.0004270065],"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":[0.0004583482,0.004917914,0.01602748,0.001901404,0.00007628078,0.004487604,0.07802897,0.004746777,0.1407617,0.04671464,0.02794793,0.6739311],"study_design_scores_gemma":[0.0001632317,0.005685451,0.01372813,0.000830858,0.0001086681,0.01077913,0.02045086,0.006325326,0.1201152,0.01845471,0.8030646,0.0002937726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.333156,0.001609934,0.5836512,0.001924024,0.0005616695,0.0007428157,0.0001634629,0.003852241,0.07433871],"genre_scores_gemma":[0.6191146,0.001498109,0.3314463,0.001337148,0.0001667541,0.0008286331,0.0001487483,0.0006156466,0.04484409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008818558,"threshold_uncertainty_score":0.02950102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286181139394101,"score_gpt":0.2792109944546785,"score_spread":0.2463491830607375,"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."}}