{"id":"W36713471","doi":"10.4018/978-1-60960-165-2.ch013","title":"POMDP Models for Assistive Technology","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Partially observable Markov decision process; Computer science; Human–computer interaction; Process (computing); Task (project management); Wheelchair; Implementation; Population; Artificial intelligence; Machine learning; Markov model; Engineering; Systems engineering; Markov chain; Software 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":[0.0009548914,0.002066429,0.001152089,0.0006210308,0.0005124059,0.002194919,0.001741606,0.001742206,0.01287109],"category_scores_gemma":[0.002243074,0.0006464183,0.001651488,0.001361266,0.001058054,0.002106672,0.001145997,0.002928391,0.002240833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258939,"about_ca_system_score_gemma":0.001714589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00834912,"about_ca_topic_score_gemma":0.00717344,"domain_scores_codex":[0.9993482,0.0002436515,0.0000490255,0.0001134099,0.0001870783,0.00005863485],"domain_scores_gemma":[0.9992095,0.0005626444,0.000059745,0.00004123052,0.0000951895,0.00003159632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006570829,0.00007581955,0.0003361943,0.0006944551,0.00008783437,0.0001528617,0.0002124017,0.4539666,0.0006496962,0.4713629,0.01458511,0.05781025],"study_design_scores_gemma":[0.00004936869,0.00005903381,0.0002083914,0.0002294526,0.00003180738,0.00006719329,0.0001077079,0.5042202,0.0003373123,0.431083,0.06357124,0.00003524478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00217441,0.007397891,0.9538252,0.001686213,0.0003459947,0.0001917672,0.001410386,0.0005169677,0.03245122],"genre_scores_gemma":[0.2897979,0.0274937,0.6294709,0.001244821,0.0007358344,0.002191625,0.004383068,0.0003314651,0.04435066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01287109,"threshold_uncertainty_score":0.0430581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554985110492648,"score_gpt":0.2508645986625059,"score_spread":0.2153147475575794,"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."}}