{"id":"W4409720610","doi":"10.1145/3706599.3720121","title":"CaneXR: Building a Cane-Based XR Controller for Knowledge Work","year":2025,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Cane; Computer science; Controller (irrigation); Engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001305931,0.0001146298,0.0001597799,0.0001392286,0.0001363941,0.0000948954,0.0004769389,0.00004174338,0.00003093328],"category_scores_gemma":[0.000171053,0.00009658426,0.0001223851,0.0003616472,0.00001964295,0.0001622405,0.00007725367,0.00007322247,0.00003758131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009134013,"about_ca_system_score_gemma":0.0002017787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009646886,"about_ca_topic_score_gemma":0.00004353281,"domain_scores_codex":[0.999202,0.00003001356,0.0001423074,0.0002897029,0.00006186723,0.000274185],"domain_scores_gemma":[0.998584,0.0008833229,0.00003610489,0.0002243342,0.0002267922,0.00004545024],"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":[0.0002442262,0.0002090191,0.0008692967,0.00005549189,0.0001656536,0.000006972423,0.0005063656,0.0003010608,0.03414543,0.7372862,0.2087955,0.01741478],"study_design_scores_gemma":[0.006488916,0.0002728047,0.003155194,0.0003189832,0.00006544871,0.000002275558,0.0002695339,0.3103378,0.2602995,0.00463559,0.4134233,0.0007306046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002004474,0.0001455416,0.9593086,0.002058448,0.0006970164,0.0003050082,0.000002779384,0.00003145218,0.03544663],"genre_scores_gemma":[0.9738726,6.65918e-7,0.01089805,0.00404069,0.00004618375,0.00009414399,0.000001905729,0.000005258676,0.01104049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9718682,"threshold_uncertainty_score":0.3938592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376870340085444,"score_gpt":0.2998689409435014,"score_spread":0.286100237542647,"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."}}