{"id":"W31665143","doi":"10.1371/journal.pone.0223049","title":"Situated Interaction with Ambient Information: Facilitating Awareness and Communication in Ubiquitous Work Environments","year":2003,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Education Sciences","keywords":"Situated; Context (archaeology); Work (physics); Computer science; Human–computer interaction; Context awareness; Architectural engineering; Ubiquitous computing; Engineering; Geography; Phone; Artificial intelligence","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":[0.001038873,0.0004776064,0.0003196656,0.0005420801,0.0008445015,0.002146404,0.0007421319,0.000835216,0.003405083],"category_scores_gemma":[0.005945644,0.0003172032,0.0004390832,0.0003219855,0.0007392478,0.002303667,0.003845397,0.0006018514,0.0004770076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099501,"about_ca_system_score_gemma":0.0005456762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043101,"about_ca_topic_score_gemma":0.001940908,"domain_scores_codex":[0.9989291,0.0005739532,0.00003867836,0.0001730161,0.0001413767,0.0001438693],"domain_scores_gemma":[0.9969029,0.0022892,0.0002168992,0.0001956033,0.0001482211,0.0002471623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001850241,0.002190625,0.03702995,0.003861638,0.0002398783,0.001373388,0.03860466,0.00381958,0.06023312,0.004748051,0.009956648,0.8360924],"study_design_scores_gemma":[0.002524623,0.02278971,0.3640933,0.005083748,0.003212795,0.00525425,0.08760053,0.07024118,0.07317584,0.06876897,0.2962544,0.001000572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762854,0.004378095,0.08528747,0.001590203,0.0002568775,0.0006492101,0.0002955288,0.001590876,0.02966626],"genre_scores_gemma":[0.970931,0.0008800751,0.02597662,0.0002966855,0.00009392769,0.0003411525,0.00008451295,0.00004246159,0.001353508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003405083,"threshold_uncertainty_score":0.01139116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866278385965467,"score_gpt":0.2271251442810035,"score_spread":0.1984623604213488,"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."}}