{"id":"W2008950333","doi":"10.1109/roman.2013.6628527","title":"Robot task learning from demonstration using Petri nets","year":2013,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Petri net; Computer science; Robot; Task (project management); Generalization; Block (permutation group theory); Artificial intelligence; Imitation; Function (biology); Human–computer interaction; Programming language; Engineering","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":[0.0006634934,0.0006355724,0.0003568731,0.0003287779,0.000257836,0.0004387535,0.0007499158,0.0004942799,0.001487369],"category_scores_gemma":[0.002425687,0.0004368028,0.0006192402,0.0002009938,0.0007821684,0.0008591666,0.0007714711,0.0009080804,0.0002552163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000694753,"about_ca_system_score_gemma":0.0009042378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004692416,"about_ca_topic_score_gemma":0.00592051,"domain_scores_codex":[0.999666,0.0001096473,0.00002390487,0.00007443679,0.00009807456,0.00002790629],"domain_scores_gemma":[0.9988521,0.0008492634,0.00007241737,0.00009279883,0.00008721452,0.00004626966],"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":[0.0001052776,0.00004417292,0.0006387122,0.0001169258,0.00002489775,0.0001656528,0.0001068391,0.9088202,0.008704883,0.01324434,0.0004069476,0.06762119],"study_design_scores_gemma":[0.000008884625,0.00002375256,0.0001213454,0.000009477399,0.000004324891,0.00002263452,0.000007322958,0.9865427,0.003791142,0.00881174,0.0006497788,0.000006826763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01796191,0.000101929,0.9794855,0.00007281618,0.00001753714,0.00006101258,0.0000545587,0.0008189664,0.001425716],"genre_scores_gemma":[0.6682817,0.000391988,0.3280928,0.00005091606,0.00001653315,0.0002550722,0.000245887,0.0001150024,0.002550098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004692416,"threshold_uncertainty_score":0.009330213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167211597255643,"score_gpt":0.2502007810676021,"score_spread":0.2085286650950457,"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."}}