{"id":"W4410297372","doi":"10.1109/hri61500.2025.10974112","title":"Medibot-Healthcare Robot Assistant for Remote Communities","year":2025,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Health care; Robot; Computer science; Human–computer interaction; Artificial intelligence; Political science","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":[0.0004027816,0.0007323149,0.0004076539,0.0003998526,0.0005418119,0.0004601557,0.0009427466,0.0007638788,0.03881515],"category_scores_gemma":[0.0008132054,0.0002144634,0.0002771005,0.0001321666,0.0002835522,0.0007226684,0.001819726,0.0006161979,0.01118554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200148,"about_ca_system_score_gemma":0.0006133252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009807878,"about_ca_topic_score_gemma":0.001459614,"domain_scores_codex":[0.9997281,0.0000512438,0.00001371432,0.00007522975,0.00009374268,0.00003787684],"domain_scores_gemma":[0.9996492,0.00006373892,0.00002987754,0.00003800164,0.00008427745,0.0001349159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002273389,0.0008677317,0.004258841,0.001124379,0.00008396411,0.002026565,0.0008538784,0.002673903,0.07764646,0.004582615,0.1966148,0.7069936],"study_design_scores_gemma":[0.001235638,0.004121211,0.01340075,0.0004881033,0.0001384717,0.00823528,0.001050756,0.08463587,0.06033407,0.009141737,0.8169195,0.0002985395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1020401,0.004947428,0.5840155,0.003907152,0.00201176,0.002624625,0.003773165,0.1595315,0.1371488],"genre_scores_gemma":[0.5746689,0.001338386,0.2331071,0.003703814,0.0004598091,0.00131493,0.003647705,0.001590319,0.180169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03881515,"threshold_uncertainty_score":0.1298496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908758853164301,"score_gpt":0.3184293251965989,"score_spread":0.2793417366649559,"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."}}