{"id":"W2075326247","doi":"10.1145/2669485.2669549","title":"Overcoming Interaction Barriers in Large Public Displays Using Personal Devices","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Process (computing); Work (physics); Human–computer interaction; Space (punctuation); Internet privacy; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003373427,0.0001284403,0.0001335212,0.0002251127,0.0001546044,0.0002260677,0.0003700534,0.0000465686,0.0002406685],"category_scores_gemma":[0.0001330851,0.0001173353,0.00007249413,0.0002783176,0.00001675152,0.002556622,0.0001787739,0.0001848867,0.00006710926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388626,"about_ca_system_score_gemma":0.0000494575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144553,"about_ca_topic_score_gemma":0.0002427404,"domain_scores_codex":[0.9988415,0.0001083039,0.0001805428,0.000325885,0.0001748488,0.0003689227],"domain_scores_gemma":[0.9994366,0.0001221181,0.00007825368,0.0001795925,0.00007596713,0.0001074575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007157578,0.0003198275,0.4199103,0.0000707006,0.0001127811,0.00003500002,0.01263839,0.0001662776,0.1386009,0.420028,0.001822313,0.006223806],"study_design_scores_gemma":[0.0005258814,0.00005298546,0.03722346,0.00005531398,0.000004579271,0.00002635913,0.002061455,0.9434898,0.005059768,0.0002065099,0.01101113,0.0002827575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5270591,0.00001008402,0.4604349,0.000433875,0.0004707158,0.00005656347,0.00000127317,0.00001625303,0.0115172],"genre_scores_gemma":[0.9964022,9.967529e-7,0.001826808,0.001588896,0.00006297805,0.000003596243,0.000003137219,0.000007062573,0.000104351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9433236,"threshold_uncertainty_score":0.4784795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284052570717287,"score_gpt":0.2853456580810454,"score_spread":0.2625051323738725,"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."}}