{"id":"W2885997568","doi":"10.1016/j.promfg.2018.07.140","title":"Design and Interaction Interface using Augmented Reality for Smart Manufacturing","year":2018,"lang":"en","type":"article","venue":"Procedia Manufacturing","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Interface (matter); Computer science; Augmented reality; Human–computer interaction; Virtual machine; Personalization; Sketch; Object (grammar); Virtual prototyping; Set (abstract data type); User interface; Virtual finite-state machine; Embedded system; Simulation; Artificial intelligence; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006855819,0.0009288613,0.0004843578,0.0007040664,0.0002859266,0.001418807,0.001083535,0.001073213,0.005382512],"category_scores_gemma":[0.001397636,0.0004440147,0.001032975,0.0003631877,0.0005188126,0.00133606,0.001461689,0.0006469674,0.001284598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763415,"about_ca_system_score_gemma":0.0002469141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004213642,"about_ca_topic_score_gemma":0.0004863256,"domain_scores_codex":[0.9987404,0.0003062245,0.0001070126,0.0001966963,0.0005653062,0.00008444159],"domain_scores_gemma":[0.9993267,0.0002369557,0.00007688658,0.0002062747,0.0001215156,0.00003170326],"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":[0.0003417979,0.0002341797,0.001713904,0.001067701,0.0001531377,0.001369884,0.002233869,0.0506726,0.3556328,0.03546655,0.006567176,0.5445463],"study_design_scores_gemma":[0.0001477732,0.00137975,0.00519459,0.0001941618,0.0002981084,0.003843479,0.0005086014,0.4995909,0.23865,0.01281215,0.2370083,0.000372165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009344332,0.0002594175,0.9848061,0.00007723036,0.00006108021,0.00007091072,0.00003272872,0.001753975,0.003594236],"genre_scores_gemma":[0.1715927,0.0004237969,0.8226247,0.0002056109,0.00004693243,0.0002076505,0.0001577135,0.0002649495,0.00447589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005382512,"threshold_uncertainty_score":0.01800627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06964403189139992,"score_gpt":0.3264905095059359,"score_spread":0.2568464776145361,"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."}}