{"id":"W2164277546","doi":"10.24908/pceea.v0i0.3774","title":"RVS4W: A VISUALIZATION TOOL FOR ROBOT DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Upload; Robot; Window (computing); Computer science; Human–computer interaction; Robotics; Graphics; Artificial intelligence; Computer graphics (images); World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001405999,0.002444833,0.001251269,0.002648355,0.0004248309,0.001489143,0.002917836,0.001266642,0.1018334],"category_scores_gemma":[0.004031494,0.001301609,0.001527086,0.001526196,0.0003380905,0.002258927,0.002118596,0.002165603,0.02596196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004774525,"about_ca_system_score_gemma":0.00111426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029254,"about_ca_topic_score_gemma":0.00211258,"domain_scores_codex":[0.9990057,0.0001860186,0.00009487791,0.00012695,0.0004902644,0.00009608341],"domain_scores_gemma":[0.9984385,0.0007412087,0.0001054966,0.0002079952,0.0004072653,0.00009952061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004303492,0.0001264928,0.0007613158,0.001701022,0.0001195871,0.0003721401,0.0005786134,0.01326269,0.0229679,0.01067717,0.5450113,0.4039913],"study_design_scores_gemma":[0.0005405045,0.0002174691,0.002135259,0.0004474671,0.00007606146,0.0008927201,0.0001438594,0.1264448,0.03546911,0.02132216,0.8120241,0.000286595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002489395,0.0004805041,0.7101712,0.0003354753,0.0002435502,0.000252645,0.01357876,0.2606471,0.01180131],"genre_scores_gemma":[0.04036364,0.001278221,0.8145885,0.0004488914,0.0001393387,0.001761682,0.03260926,0.07637577,0.03243468],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1018334,"threshold_uncertainty_score":0.3406666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277263084517683,"score_gpt":0.2112819270009108,"score_spread":0.1885092961557339,"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."}}