{"id":"W2019785324","doi":"10.1145/1514095.1514186","title":"Situated messages for asynchronous human-robot interaction","year":2009,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Situated; Robot; Asynchronous communication; Computer science; Human–computer interaction; Security token; Human–robot interaction; Embodied cognition; Exploit; Artificial intelligence; Computer network; Computer security","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":[0.0001711953,0.0001448431,0.0001459365,0.0002828683,0.0002309181,0.000127231,0.0005211297,0.0001093099,0.00007863878],"category_scores_gemma":[0.00004906588,0.000134999,0.00005852814,0.0003283705,0.00003230213,0.001017957,0.000059095,0.0001996933,0.0001065441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402193,"about_ca_system_score_gemma":0.00001924938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001007508,"about_ca_topic_score_gemma":0.00001698456,"domain_scores_codex":[0.998986,0.0000257148,0.0002591962,0.0003660589,0.0001132394,0.0002497596],"domain_scores_gemma":[0.9991212,0.00006034173,0.000138019,0.0004013479,0.0002559478,0.00002310466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001649949,0.0001883529,0.00003606982,0.000005501497,0.0000340028,0.000006791736,0.0002996245,0.00006458649,0.2188689,0.6897507,0.008371118,0.08235792],"study_design_scores_gemma":[0.00156286,0.002181477,0.009808077,0.00006333982,0.00002093552,0.000133553,0.000227998,0.04062765,0.8060992,0.1236288,0.01486983,0.0007762472],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04134423,0.000009319217,0.9375527,0.003602918,0.0005009666,0.0002968576,5.362167e-7,0.0008488356,0.01584362],"genre_scores_gemma":[0.9582965,0.000001104403,0.03939252,0.0009528714,0.00007277565,0.00003041698,0.000009632437,0.000006687685,0.001237508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9169523,"threshold_uncertainty_score":0.55051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399074783148211,"score_gpt":0.3414105883328292,"score_spread":0.3074198405013471,"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."}}