{"id":"W4405935164","doi":"10.1109/irc63610.2024.00010","title":"Autonomous Wheelchair – Object Measurement","year":2024,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Wheelchair; Computer science; Object (grammar); Human–computer interaction; Computer vision; 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":[0.0004402626,0.0005253913,0.0005766274,0.000508382,0.0005273474,0.0006030998,0.0007237976,0.0005906716,0.002654036],"category_scores_gemma":[0.0008699881,0.0002278888,0.0002661052,0.0003649617,0.0003258686,0.0007110762,0.001232092,0.0003310194,0.001027373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004358341,"about_ca_system_score_gemma":0.000651715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006097464,"about_ca_topic_score_gemma":0.005511184,"domain_scores_codex":[0.9993328,0.00007049782,0.00001727711,0.0001165398,0.0003836852,0.00007906291],"domain_scores_gemma":[0.9994233,0.00008375185,0.00005276377,0.0001319807,0.0002589692,0.00004919443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001375811,0.0004693551,0.009177913,0.0003336408,0.0001240815,0.0005807189,0.0005088426,0.03095434,0.5247443,0.002528378,0.00314274,0.4260599],"study_design_scores_gemma":[0.0001419116,0.001488213,0.05798912,0.00006159872,0.00009201608,0.0006884394,0.0002974524,0.32352,0.59286,0.002598318,0.02010938,0.000153508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6441378,0.0007416642,0.33677,0.0001864831,0.0001496232,0.000280732,0.0007543092,0.00542566,0.01155361],"genre_scores_gemma":[0.9317713,0.0001393605,0.06353106,0.00004641602,0.00001144341,0.00009799685,0.0004176068,0.00007584194,0.003908917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006097464,"threshold_uncertainty_score":0.01212394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704344782854747,"score_gpt":0.2443132460146344,"score_spread":0.2172697981860869,"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."}}