{"id":"W2947469351","doi":"10.18260/1-2--30944","title":"Robotics in Electronics Engineering Technology","year":2020,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Robotics; Artificial intelligence; Robot; Curriculum; Electronics; Educational robotics; Computer science; Field (mathematics); Robotic paradigms; Engineering; Electrical engineering; Mathematics","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":[0.00002424367,0.000123911,0.0001279031,0.0001215744,0.000006999973,0.00001034479,0.0001363898,0.00008656172,0.00002290854],"category_scores_gemma":[0.00003117785,0.0001471204,0.00001981573,0.0005020716,0.000006765462,0.00006077381,0.00003202665,0.0003551887,0.0000688494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009377868,"about_ca_system_score_gemma":0.000005036476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.812237e-7,"about_ca_topic_score_gemma":0.000001024142,"domain_scores_codex":[0.9993827,0.00000189741,0.0001433582,0.000116036,0.00006280636,0.0002931646],"domain_scores_gemma":[0.9998232,0.00001327617,0.000005058269,0.00009514038,0.000005001315,0.00005830066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.54391e-7,0.000002797823,0.000445053,0.00002277369,0.00000692854,0.000008374544,0.00006200398,0.9188769,0.07436755,0.005659106,0.0000471183,0.0005008263],"study_design_scores_gemma":[0.0001477623,0.00003776185,0.00007266583,0.00001135712,0.000001541064,0.000005029465,0.00003302616,0.9512648,0.04059068,0.00002146859,0.007631089,0.0001828094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4650543,0.0092455,0.4884199,0.003573305,0.0007829617,0.0005380706,0.000002059219,0.01426937,0.01811457],"genre_scores_gemma":[0.9712571,0.00003506288,0.0285498,0.00004252202,0.00003867911,0.00001012335,0.000001359807,0.00005199003,0.00001339296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5062028,"threshold_uncertainty_score":0.5999397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004205406969898306,"score_gpt":0.175828076178759,"score_spread":0.1716226692088607,"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."}}