{"id":"W2076842709","doi":"10.1145/2468356.2479609","title":"KINECT <sup>wheels</sup>","year":2013,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wheelchair; Focus (optics); Computer science; Popularity; Human–computer interaction; Motion (physics); Multimedia; Artificial intelligence; World Wide Web","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":[0.0007693784,0.00114752,0.001035899,0.0009068819,0.0003430232,0.0008522491,0.001229015,0.0009971518,0.04472634],"category_scores_gemma":[0.002373589,0.0006492782,0.0004919003,0.0009916523,0.0003090205,0.001303698,0.001639072,0.0006706381,0.01777725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466652,"about_ca_system_score_gemma":0.0006557073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003925082,"about_ca_topic_score_gemma":0.01184147,"domain_scores_codex":[0.999276,0.00007370194,0.00007652147,0.0001385174,0.0003898858,0.00004548641],"domain_scores_gemma":[0.9993544,0.0001965667,0.00007645336,0.00007040743,0.0002400497,0.00006207889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003574901,0.0001961076,0.007532021,0.003816504,0.0002795002,0.0007325395,0.0006619951,0.006038889,0.1363838,0.01209073,0.2133391,0.615354],"study_design_scores_gemma":[0.0004389739,0.0005013108,0.04607661,0.0009161488,0.0002425667,0.002419943,0.0002738872,0.1035041,0.2242901,0.01010326,0.6107365,0.0004964601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03072562,0.004586878,0.678663,0.0009457414,0.0009679346,0.001201539,0.1273881,0.07980752,0.07571363],"genre_scores_gemma":[0.2973174,0.003535137,0.5209839,0.001875737,0.0001844325,0.002848555,0.07147244,0.01053866,0.09124368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04472634,"threshold_uncertainty_score":0.1496245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044981900431069,"score_gpt":0.2124928843555233,"score_spread":0.2020430653512126,"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."}}