{"id":"W3092352310","doi":"10.1109/case48305.2020.9216770","title":"Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks","year":2020,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Bridging (networking); Robot; Semantics (computer science); Human–computer interaction; Tuple; Perception; Artificial intelligence; Ontology; Natural language processing; Programming language","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":[0.0001082538,0.0001032158,0.0001039802,0.00004354414,0.0002142705,0.00016827,0.0002210623,0.00003471895,0.00001408956],"category_scores_gemma":[0.00003343072,0.00009179227,0.00003269536,0.0002132061,0.00002149728,0.000296392,0.00006490912,0.0001015646,0.00002845877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008176189,"about_ca_system_score_gemma":0.00002498429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007761177,"about_ca_topic_score_gemma":0.00001707747,"domain_scores_codex":[0.9991656,0.00002600184,0.0001441713,0.0003251858,0.0001691648,0.000169872],"domain_scores_gemma":[0.9995648,0.00007827306,0.00007286825,0.0001476487,0.00005183671,0.00008457017],"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":[0.00007143767,0.00009321243,0.01518372,0.000095462,0.00005297002,0.00000306064,0.005398325,0.1037663,0.02146536,0.7998576,0.0006061136,0.05340642],"study_design_scores_gemma":[0.0004141024,0.000149867,0.01752057,0.000009228547,0.000008419272,0.000004511554,0.0002712366,0.9807327,0.0001001575,0.0005968807,0.00005661097,0.0001357367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02825507,0.000001795227,0.9603262,0.01029249,0.00002709672,0.000351995,8.931231e-7,0.000352138,0.0003923209],"genre_scores_gemma":[0.8478287,3.656436e-7,0.1513434,0.0006659888,0.00008639159,0.00002011955,0.00001458578,0.0000118914,0.00002857013],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8769664,"threshold_uncertainty_score":0.374318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0795439621350606,"score_gpt":0.3118844823875674,"score_spread":0.2323405202525068,"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."}}