{"id":"W2002233228","doi":"10.1145/2628363.2634221","title":"Wearable remote control of a mobile device","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"SwIPe; Wearable computer; Gesture; Smartwatch; Wearable technology; Human–computer interaction; Computer science; Mobile device; Control (management); Remote control; Embedded system; Computer vision; Artificial intelligence; Computer security; Computer hardware; World Wide Web","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":[0.0001446549,0.00005331634,0.0001092204,0.00003541647,0.00002761591,0.00001822695,0.0003351016,0.00001960312,0.00008222531],"category_scores_gemma":[0.00003349276,0.00004286817,0.00004810254,0.00009996476,0.00001515479,0.0002464387,0.00004720354,0.00004411873,0.0002129826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007805257,"about_ca_system_score_gemma":0.00001541855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001119162,"about_ca_topic_score_gemma":0.000003978497,"domain_scores_codex":[0.9994912,0.00004137023,0.0001089961,0.0001394346,0.00009322273,0.0001258494],"domain_scores_gemma":[0.9994236,0.0001029098,0.00005145633,0.0002652568,0.0001258021,0.00003099606],"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":[0.0000484607,0.0001698767,0.0007736814,0.00004398486,0.00008859674,0.000003988527,0.001051069,0.0003895408,0.7006044,0.2237484,0.005693299,0.06738473],"study_design_scores_gemma":[0.001185774,0.0005592831,0.00352386,0.00005563219,0.00001171453,0.00001098378,0.000133307,0.4954543,0.4472626,0.002557876,0.04900719,0.0002375634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01113282,0.00003644731,0.904448,0.000155434,0.0001123013,0.0000712805,4.500565e-7,0.0000101275,0.08403312],"genre_scores_gemma":[0.9917743,0.000002522387,0.005814387,0.001169692,0.00001773752,0.000001944698,1.859355e-7,0.000002489737,0.001216713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9806415,"threshold_uncertainty_score":0.2737531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007310908909391545,"score_gpt":0.2442899047004732,"score_spread":0.2369789957910817,"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."}}