{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005532404,0.0001044223,0.0001000472,0.00005301565,0.0002370096,0.0001597796,0.0002939395,0.0000308396,0.0006116731],"category_scores_gemma":[0.000002887797,0.00008700868,0.00008022344,0.0001546132,0.00002751595,0.001236817,0.0001198426,0.0001154951,0.0005783057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007777378,"about_ca_system_score_gemma":0.00001453974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004559746,"about_ca_topic_score_gemma":0.0000980028,"domain_scores_codex":[0.9991626,0.00005287279,0.0001766279,0.0002802039,0.0001207505,0.0002069792],"domain_scores_gemma":[0.9995693,0.00006883555,0.00006071676,0.0001961114,0.00008287941,0.00002214687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001139543,0.0008439139,0.001845152,0.000007158921,0.00005066151,0.00003345917,0.0006246348,0.0006691622,0.1377727,0.7076773,0.1493133,0.00115126],"study_design_scores_gemma":[0.002297221,0.001250992,0.5197879,0.00007502025,0.00003846752,0.0001533264,0.0005373836,0.07321905,0.2942787,0.0487558,0.05839031,0.001215847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05871983,0.000007512414,0.7820032,0.0004975417,0.0005789732,0.0001088594,0.000001012606,0.00005977144,0.1580233],"genre_scores_gemma":[0.9744331,0.000001339959,0.01959014,0.001347746,0.0001701804,0.00001464489,0.00001462336,0.000004504455,0.004423691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9157133,"threshold_uncertainty_score":0.7433144,"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."}}