{"id":"W2142853504","doi":"10.1109/tim.2011.2161141","title":"Haptic Interaction for Mobile Assistive Robots","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Haptic technology; Computer science; Mobile robot; Robot; Rendering (computer graphics); Computer vision; Artificial intelligence; Simulation","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":[0.000187803,0.0002784591,0.0002401746,0.0001650045,0.0002694365,0.0004468079,0.0003345537,0.0005087696,0.00377152],"category_scores_gemma":[0.0005364883,0.0001192258,0.0002227198,0.0001149042,0.0003426144,0.0004383438,0.0004277717,0.0003020038,0.000545794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506355,"about_ca_system_score_gemma":0.000129757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502415,"about_ca_topic_score_gemma":0.000357736,"domain_scores_codex":[0.999818,0.00004019899,0.000007787224,0.00001715945,0.0001039057,0.00001299598],"domain_scores_gemma":[0.9998558,0.00008476863,0.00001365299,0.00001115149,0.00002694346,0.000007602928],"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":[0.0004370589,0.00008757849,0.0006082522,0.001295286,0.00007374215,0.001640947,0.0009242087,0.03425641,0.3977394,0.05133063,0.01011937,0.5014871],"study_design_scores_gemma":[0.0002350802,0.001981255,0.00366611,0.0002576386,0.0001170474,0.00563926,0.0003979337,0.6386723,0.07659149,0.05002478,0.2222349,0.0001822033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02754796,0.006850835,0.9515281,0.0004795238,0.0003219554,0.00006996677,0.00003726752,0.001151193,0.01201311],"genre_scores_gemma":[0.804161,0.003906305,0.1716915,0.0004206776,0.0003937316,0.0001404541,0.00009363153,0.00009610347,0.01909671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00377152,"threshold_uncertainty_score":0.01261699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07412130806231303,"score_gpt":0.2527947133549054,"score_spread":0.1786734052925924,"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."}}