{"id":"W2106351401","doi":"10.1145/1029632.1029656","title":"Interactive public ambient displays","year":2004,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":648,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Human–computer interaction; Computer science; Gesture; Context (archaeology); Orientation (vector space); Interaction design; Simple (philosophy); Multimedia; Artificial intelligence","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":[0.001158958,0.000658065,0.0003297262,0.0003668054,0.0007663994,0.002302604,0.001797985,0.0009300116,0.01534481],"category_scores_gemma":[0.002630558,0.0004744457,0.0005609027,0.0003237626,0.000715498,0.002672346,0.003243935,0.001220727,0.002906659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003735518,"about_ca_system_score_gemma":0.0005090272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007170509,"about_ca_topic_score_gemma":0.0009517659,"domain_scores_codex":[0.9989027,0.000233189,0.00004348983,0.0001214479,0.000531942,0.0001672255],"domain_scores_gemma":[0.9989452,0.0003347504,0.00007015959,0.0002881447,0.0002485424,0.0001133327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005544721,0.0003204254,0.002108817,0.0008057603,0.00009184574,0.0009277375,0.005144514,0.01870968,0.1159196,0.4432299,0.04455092,0.3676364],"study_design_scores_gemma":[0.0001372371,0.0005757921,0.002651558,0.0003552405,0.0001189198,0.001830881,0.001281475,0.1058422,0.0724272,0.06613207,0.7484832,0.0001643203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01143898,0.0003218971,0.9508663,0.000302274,0.0001072203,0.0001186815,0.0001646142,0.005954796,0.03072528],"genre_scores_gemma":[0.4027413,0.0008690575,0.5411023,0.0003884354,0.0002271292,0.0006233673,0.0007700591,0.001444606,0.0518337],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01534481,"threshold_uncertainty_score":0.05133349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488031150694157,"score_gpt":0.2544778906664545,"score_spread":0.239597579159513,"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."}}