{"id":"W2807288411","doi":"10.11159/cdsr18.124","title":"A Do-and-See Approach for Learning Mechatronics Concepts","year":2018,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Control, Dynamic systems, and Robotics","topic":"Mechatronics Education and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mechatronics; Computer science; 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":[0.0002574251,0.0001100338,0.0002130081,0.00005851995,0.00007675318,0.00007009537,0.0002831989,0.00006754918,0.000005125658],"category_scores_gemma":[0.0000879024,0.00008842255,0.00004474984,0.00005350325,0.0001270606,0.00008574189,0.00004175641,0.000101176,5.53227e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003670392,"about_ca_system_score_gemma":0.00003970598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006174553,"about_ca_topic_score_gemma":0.0000011459,"domain_scores_codex":[0.9992428,0.000004585509,0.00031538,0.000142194,0.0001729017,0.0001221015],"domain_scores_gemma":[0.9989446,0.00006140495,0.0002024584,0.00006500043,0.0006866061,0.00003997731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002637723,0.00003011181,0.001062446,0.000404468,0.0001857227,5.520642e-9,0.0005849103,0.01484158,0.01979482,0.9620149,0.0002960685,0.0007586462],"study_design_scores_gemma":[0.0005308249,0.00004707512,0.0001177056,0.0001003823,0.0000475307,0.000006118408,0.001371267,0.9942967,0.0002740159,0.002319282,0.0007914593,0.00009758475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1928707,0.002019437,0.7794592,0.001560338,0.001648785,0.002016058,0.0001383815,0.0001666525,0.02012046],"genre_scores_gemma":[0.9938814,0.0001604699,0.005422508,0.00001161517,0.00008106013,0.00005752014,0.000005671869,0.00001444003,0.000365297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9794552,"threshold_uncertainty_score":0.3605767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013802044343259,"score_gpt":0.2677859069830125,"score_spread":0.2476478865395799,"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."}}