{"id":"W3151616036","doi":"","title":"Modelling and Simulation of an Ultrasonic Tethering Smart Wheelchair System for Social Following","year":2019,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Wheelchair; Ultrasonic sensor; Simulation; Computer science; Tethering; Engineering; Acoustics; Telecommunications","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":[0.0002636504,0.00009774463,0.0001866726,0.000082511,0.0001193797,0.00006645975,0.0002456478,0.00008978097,2.03855e-7],"category_scores_gemma":[0.00001746645,0.00009690226,0.00005501087,0.0001394838,0.00002282738,0.0004470512,0.00005095055,0.00007384914,0.000001341418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003194837,"about_ca_system_score_gemma":0.00001279397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009173786,"about_ca_topic_score_gemma":3.719718e-7,"domain_scores_codex":[0.9992421,0.000003708366,0.0001648897,0.0002933512,0.0001084698,0.000187438],"domain_scores_gemma":[0.9996373,0.00005236582,0.000105867,0.00007542755,0.0001029613,0.00002607609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009316746,0.0002402579,0.07204893,0.003740954,0.0002554287,0.000003903509,0.01711481,0.2454267,0.2120756,0.3496722,0.00002687133,0.09930116],"study_design_scores_gemma":[0.0003209797,0.0001055025,0.0007441657,0.00009433878,0.00000997678,0.000002788591,0.0006442312,0.990108,0.007097985,0.0007000444,0.00005736121,0.0001146368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7266952,0.00002731649,0.2726287,0.00003283883,0.00009449405,0.0001520802,5.948738e-7,0.0002088599,0.0001598222],"genre_scores_gemma":[0.9814711,6.372405e-7,0.01844571,0.000006510335,0.00003393079,0.00001221461,5.945823e-7,0.0000117836,0.00001749939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7446813,"threshold_uncertainty_score":0.395156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204533526156793,"score_gpt":0.2573160564776588,"score_spread":0.2352707212160908,"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."}}