{"id":"W2142830547","doi":"10.1109/ccece.2008.4564765","title":"Application of a low cost vision system to a mobile robot based mechatronics course","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Mechatronics Education and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Mechatronics; Course (navigation); Mobile robot; Computer science; Robot; Artificial intelligence; Machine vision; Multimedia; Engineering; Simulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005065217,0.0004708035,0.0002449125,0.0003564067,0.0006188785,0.0007369916,0.000814922,0.0006580279,0.01416614],"category_scores_gemma":[0.0009852378,0.0001852595,0.0003366239,0.0001937894,0.0001794578,0.0003354681,0.0007755817,0.0009306343,0.003448671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005415819,"about_ca_system_score_gemma":0.000951833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022601,"about_ca_topic_score_gemma":0.003142833,"domain_scores_codex":[0.9997247,0.00004601257,0.000008411666,0.00004792231,0.0001068641,0.00006602125],"domain_scores_gemma":[0.9994597,0.00008658498,0.00001593613,0.00003321553,0.0001526547,0.0002519386],"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":[0.0007810003,0.006238363,0.004356155,0.0003641426,0.00002563663,0.001962939,0.001191386,0.006912911,0.3059334,0.002899168,0.02463086,0.644704],"study_design_scores_gemma":[0.001084,0.03667263,0.08196944,0.0002954724,0.0001744428,0.005735684,0.002599072,0.123626,0.4037957,0.005636,0.3380693,0.000342356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366448,0.0003856254,0.1903543,0.002225648,0.001005823,0.001443313,0.0002466951,0.003443855,0.06424991],"genre_scores_gemma":[0.7693616,0.000417961,0.1228309,0.0007019276,0.0002072551,0.0003679548,0.0003761393,0.000232486,0.1055038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01416614,"threshold_uncertainty_score":0.04739046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859235663127949,"score_gpt":0.2075415910427288,"score_spread":0.1989492344114493,"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."}}