{"id":"W4242295982","doi":"10.1109/hri.2010.5453172","title":"FusionBot: A barista robot: Fusionbot serving coffees to visitors during technology exhibition event","year":2010,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Task (project management); Computer science; Event (particle physics); Robot; Exhibition; Service (business); Perception; Quarter (Canadian coin); Quality (philosophy); Multimedia; Advertising; Psychology; Artificial intelligence; Marketing; Engineering; Business; Visual arts; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001394279,0.0002282742,0.0002463425,0.0003718623,0.0001894442,0.00008714496,0.0002599123,0.000251129,0.0003342388],"category_scores_gemma":[0.00002968384,0.0002131264,0.00006449012,0.0004974538,0.0000172085,0.0001073537,0.0001631601,0.0003307401,0.0003208975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005979109,"about_ca_system_score_gemma":0.00001172313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005887123,"about_ca_topic_score_gemma":0.0001918583,"domain_scores_codex":[0.9987063,0.00001150171,0.0003832068,0.0002806406,0.000211622,0.0004067148],"domain_scores_gemma":[0.9992697,0.00001996137,0.00003690135,0.0004502512,0.00006523214,0.0001580111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002611884,0.00002449536,0.0007438256,0.00008925264,0.00001957216,0.00001871594,0.0001424869,0.06560218,0.930011,0.0007960621,0.000931641,0.001618106],"study_design_scores_gemma":[0.001128489,0.0001240469,0.04217104,0.0005819191,0.0000423397,0.0002157379,0.0009821986,0.3947925,0.544971,0.0004883397,0.01295653,0.00154591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787162,0.00005165006,0.01403057,0.0004982088,0.001717145,0.0003115154,0.00000403485,0.00174438,0.002926306],"genre_scores_gemma":[0.9948655,0.00001066431,0.004276621,0.00003273824,0.0001991387,0.00003880746,0.000006357117,0.00005779327,0.0005123476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3850401,"threshold_uncertainty_score":0.8691043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002262200508986569,"score_gpt":0.1929644433341994,"score_spread":0.1907022428252128,"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."}}