{"id":"W1566443347","doi":"10.1109/wimob.2005.1512964","title":"Object augmentation through ecological human - wearable computer interactions","year":2006,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Wearable computer; Human–computer interaction; Computer science; Task (project management); Object (grammar); Simple (philosophy); Architecture; Interface (matter); Wearable technology; User interface; Artificial intelligence; Systems engineering; Engineering; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000550135,0.0005533429,0.0003641132,0.0003915308,0.0004524911,0.001462169,0.0007846361,0.0004517372,0.003963249],"category_scores_gemma":[0.001804835,0.0003299161,0.0003630951,0.0003585386,0.0009588735,0.001940729,0.003277617,0.0004233505,0.0006670576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419669,"about_ca_system_score_gemma":0.0002178196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000299377,"about_ca_topic_score_gemma":0.0005241468,"domain_scores_codex":[0.999388,0.000201264,0.00002880192,0.00009443983,0.0002324218,0.0000550871],"domain_scores_gemma":[0.9993998,0.0002711481,0.00003567627,0.0001713461,0.00007496229,0.00004717859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004735261,0.000432178,0.003796287,0.0006379159,0.00008785295,0.00115682,0.003332028,0.03530373,0.4798673,0.1011199,0.003138947,0.3706534],"study_design_scores_gemma":[0.000118057,0.001220328,0.01605441,0.0002332644,0.0002015926,0.004459251,0.001680712,0.3882909,0.2648461,0.1135808,0.2090828,0.0002317906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1422925,0.0007411381,0.8228793,0.0002918893,0.00009289808,0.0001137828,0.00004520368,0.003019847,0.03052334],"genre_scores_gemma":[0.7480561,0.0005523159,0.2412326,0.0001521941,0.00004450993,0.0001162769,0.00008407106,0.0002204535,0.009541548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003963249,"threshold_uncertainty_score":0.01325846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050390072267146,"score_gpt":0.2997303831990155,"score_spread":0.2792264824763441,"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."}}