{"id":"W3185515329","doi":"10.36227/techrxiv.14908041.v1","title":"A Human-Robot Interface With Supervised Learning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Interface (matter); Computer science; Robot; Human–computer interaction; Human–robot interaction; Artificial intelligence","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":[0.001819889,0.0009429016,0.0008409852,0.0005978181,0.0003983065,0.001014689,0.002003523,0.001241509,0.01434432],"category_scores_gemma":[0.006495835,0.0004746633,0.0004891108,0.0003767359,0.0005465334,0.001163162,0.002280272,0.001088647,0.004571288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612484,"about_ca_system_score_gemma":0.0006689251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355879,"about_ca_topic_score_gemma":0.001693788,"domain_scores_codex":[0.9986285,0.0005251697,0.00007407019,0.0003187876,0.0003845879,0.00006893483],"domain_scores_gemma":[0.997003,0.001804046,0.0001188159,0.0003837812,0.0004748195,0.0002154266],"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":[0.00305051,0.001324992,0.003622079,0.00069114,0.0004246965,0.001068663,0.00100208,0.04131865,0.08636346,0.005294916,0.05095515,0.8048837],"study_design_scores_gemma":[0.000235207,0.00067512,0.002384668,0.00005092602,0.00006672288,0.0004784028,0.0001863806,0.9471757,0.02479217,0.007764695,0.01610943,0.00008048931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01135142,0.0001031226,0.9623327,0.0001902807,0.0001298591,0.0003786066,0.0003175584,0.02252912,0.002667367],"genre_scores_gemma":[0.2645053,0.0001259768,0.7217461,0.0004258511,0.0001105862,0.001301126,0.0007609869,0.001057967,0.009965928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01434432,"threshold_uncertainty_score":0.04798651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521013507741805,"score_gpt":0.2998876516554432,"score_spread":0.2646775165780251,"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."}}