{"id":"W2954985656","doi":"10.1007/978-3-030-19913-5_11","title":"The Use of Robotics for STEM Education in Primary Schools: Teachers’ Perceptions","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robotics; Perspective (graphical); Perception; Artificial intelligence; Educational robotics; Mathematics education; Psychology; Medical education; Computer science; Robot; Medicine","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":[0.006157755,0.0001974493,0.0003892597,0.001364257,0.003970831,0.006153832,0.0007485457,0.001511059,0.00495142],"category_scores_gemma":[0.0130653,0.000625305,0.0003792291,0.0008337923,0.003689607,0.003178128,0.003587013,0.0028781,0.0009958887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045488,"about_ca_system_score_gemma":0.003937389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443608,"about_ca_topic_score_gemma":0.0297858,"domain_scores_codex":[0.9961643,0.001165895,0.0001870517,0.0003242513,0.001316019,0.0008425508],"domain_scores_gemma":[0.9837881,0.00589866,0.002470351,0.0002707367,0.002616481,0.004955685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001433529,0.0006721877,0.2867236,0.0002764629,0.00002059758,0.0007374629,0.6645407,0.0001569402,0.002241862,0.00301882,0.00362675,0.03784117],"study_design_scores_gemma":[0.00001280839,0.0003200828,0.1591054,0.000358395,0.00001935423,0.0005945454,0.8168011,0.0001859216,0.0006056462,0.0004673198,0.02148417,0.00004529974],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831688,0.0007224274,0.0003165696,0.001985162,0.00004884223,0.00002612761,0.00003255494,0.00001131486,0.01368807],"genre_scores_gemma":[0.9943586,0.0007756851,0.0001922895,0.0004104217,0.00001022344,0.00001965755,0.000018207,0.000009325463,0.004205617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01443608,"threshold_uncertainty_score":0.03256571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779366554367691,"score_gpt":0.2779545749708584,"score_spread":0.2201609094271815,"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."}}