{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003972923,0.0007863003,0.0003979617,0.0003065717,0.00075682,0.0004339505,0.0007241505,0.0006964685,0.06561188],"category_scores_gemma":[0.0007819125,0.0002623221,0.000448925,0.0002073573,0.0003445128,0.0006838712,0.001059962,0.0005415425,0.01536849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002911998,"about_ca_system_score_gemma":0.0003573995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166194,"about_ca_topic_score_gemma":0.008312437,"domain_scores_codex":[0.9998446,0.00002797091,0.000006627309,0.00003566289,0.00003880296,0.00004628437],"domain_scores_gemma":[0.9996496,0.0000774947,0.00001486912,0.00004132629,0.0000878403,0.0001288153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006499288,0.001873656,0.0223431,0.002646302,0.0001392279,0.004142506,0.008411506,0.005337763,0.2182542,0.001590057,0.4667594,0.262003],"study_design_scores_gemma":[0.0006253335,0.01030448,0.1948139,0.0004084313,0.0002557701,0.003250431,0.01068423,0.04167994,0.0726053,0.001145105,0.6636953,0.000531642],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7722285,0.0004416145,0.05184918,0.001380621,0.001376165,0.002099423,0.01760442,0.02871691,0.1243032],"genre_scores_gemma":[0.7847096,0.0003254786,0.05292248,0.0005369762,0.0002346858,0.001659666,0.01696354,0.002035064,0.1406125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06561188,"threshold_uncertainty_score":0.2194936,"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."}}