{"id":"W2613918921","doi":"10.1108/ijpcc-02-2017-0011","title":"A mobile platform for controlling and interacting with a do-it-yourself smart eyewear","year":2017,"lang":"en","type":"article","venue":"International Journal of Pervasive Computing and Communications","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Eyewear; Computer science; Human–computer interaction; Augmented reality; Usability; Smartwatch; Laptop; Modalities; Headset; Multimedia; Wearable computer; 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":[0.0004886177,0.0001007183,0.0001915274,0.0001401429,0.0006890935,0.0006162338,0.00199063,0.00003980665,6.755896e-7],"category_scores_gemma":[0.0004301283,0.00008272552,0.0000586243,0.00003116605,0.0002113269,0.0004509432,0.0006388026,0.0002820632,5.340104e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003221651,"about_ca_system_score_gemma":0.00005680489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002185461,"about_ca_topic_score_gemma":0.00002171144,"domain_scores_codex":[0.9992408,0.00003130313,0.0003008831,0.0001446164,0.0001557941,0.0001266561],"domain_scores_gemma":[0.9970794,0.0007615392,0.0007218274,0.0005309526,0.0008496345,0.00005661092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001921496,0.000379255,0.05756053,0.0000314754,0.0009847315,0.00005261064,0.01140205,0.0003744425,0.001381824,0.1022517,0.000370673,0.8250186],"study_design_scores_gemma":[0.01454941,0.00358909,0.08413434,0.004582462,0.0003018212,0.005896814,0.01257803,0.787047,0.001370555,0.02720192,0.05746679,0.001281803],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4193327,0.001074846,0.5663955,0.01183869,0.0004775588,0.0001806319,0.00000713649,0.00004653566,0.0006464916],"genre_scores_gemma":[0.8924247,0.0002120968,0.1071404,0.0001227646,0.00007014953,0.0000059516,0.000001099116,0.000006026832,0.00001684001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8237368,"threshold_uncertainty_score":0.5942357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104493499271526,"score_gpt":0.353005856824583,"score_spread":0.3119609218318677,"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."}}