{"id":"W2078726048","doi":"10.1145/2702123.2702506","title":"Mapping out Work in a Mixed Reality Project Room","year":2015,"lang":"en","type":"article","venue":"","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Steelcase; National Science Foundation","keywords":"Situated; Task (project management); Human–computer interaction; Mixed reality; Computer science; Virtual reality; Cognition; Space (punctuation); Work (physics); Affect (linguistics); Interface (matter); Physical space; Cognitive map; Virtual space; Task analysis; Psychology; Artificial intelligence; Geography; Engineering; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002554143,0.0007154929,0.0004012249,0.0008326747,0.00169573,0.002652639,0.0008285243,0.0006834285,0.001744014],"category_scores_gemma":[0.01082848,0.0004230185,0.0004158387,0.0003956668,0.001532279,0.002531669,0.00437408,0.0005791835,0.0003313339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361555,"about_ca_system_score_gemma":0.0006120143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007928458,"about_ca_topic_score_gemma":0.001052667,"domain_scores_codex":[0.9964684,0.002356545,0.0001098834,0.0004046379,0.0004554398,0.0002050646],"domain_scores_gemma":[0.9938551,0.003738292,0.0004868143,0.0008937556,0.0003603463,0.0006657857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003804858,0.002532562,0.06288026,0.001072882,0.0003022863,0.004142114,0.579998,0.01436219,0.1322961,0.009676635,0.0008953405,0.1880368],"study_design_scores_gemma":[0.000852755,0.01964362,0.1735247,0.0006405982,0.0005161385,0.008821143,0.5036784,0.08300404,0.1297662,0.02955244,0.04902867,0.0009713891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804422,0.00004186807,0.01729922,0.00002750556,0.000006241499,0.00004185945,0.00001692188,0.00007484247,0.002049333],"genre_scores_gemma":[0.9923083,0.00002771136,0.007034922,0.000008968214,0.00000218285,0.00004151795,0.00001654869,0.00001129317,0.0005484673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002652639,"threshold_uncertainty_score":0.01350778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09463306132877763,"score_gpt":0.2882375995683913,"score_spread":0.1936045382396137,"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."}}