{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002906302,0.00008175128,0.0000754486,0.0001163613,0.00004684864,0.0001592354,0.0004541917,0.00004235052,0.00003165713],"category_scores_gemma":[0.00001814522,0.00006322572,0.00004716654,0.000277513,0.00002612679,0.0001359489,0.000115044,0.0001147092,0.0005601632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008265094,"about_ca_system_score_gemma":0.00009307858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002103001,"about_ca_topic_score_gemma":0.00001573286,"domain_scores_codex":[0.9991839,0.0000160658,0.00009812346,0.0003078147,0.0002055551,0.0001885569],"domain_scores_gemma":[0.9995705,0.00001958525,0.000009382407,0.0003225314,0.00004405078,0.0000339364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.070959e-7,0.00002470142,0.00008293719,0.00001400718,0.00002324872,0.00006094304,0.0001010103,0.000009420611,0.002215573,0.6818602,0.009962292,0.3056453],"study_design_scores_gemma":[0.0003750322,0.0004152522,0.01475567,0.0002057186,0.00002405127,0.0002314469,0.00006535736,0.1957586,0.06196922,0.08166857,0.6436173,0.0009138203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001528075,0.0007265486,0.9478832,0.006139491,0.0007560027,0.00005831889,3.332104e-7,0.00352792,0.03938005],"genre_scores_gemma":[0.9815782,0.000004021074,0.01688961,0.0001626408,0.00003195414,0.00001018984,1.493018e-7,0.000005207977,0.001318023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9800501,"threshold_uncertainty_score":0.7199951,"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."}}