{"id":"W1994304205","doi":"10.1080/07370024.2010.499839","title":"Direct Pen Interaction With a Conventional Graphical User Interface","year":2010,"lang":"en","type":"article","venue":"Human-Computer Interaction","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Allison University","funders":"","keywords":"Computer science; Usability; Human–computer interaction; Interface (matter); Graphical user interface; Consistency (knowledge bases); Set (abstract data type); User interface; Pointing device; Annotation; Object (grammar); Artificial intelligence; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002319315,0.0003700237,0.000307567,0.0004328926,0.0003284313,0.0006442246,0.0008256792,0.0001386555,0.0006731264],"category_scores_gemma":[0.00001884471,0.0003211779,0.0002368507,0.0003252529,0.0001059429,0.003557385,0.0002890964,0.001051275,0.0005356544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054648,"about_ca_system_score_gemma":0.00004403803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001361447,"about_ca_topic_score_gemma":0.000209334,"domain_scores_codex":[0.9977477,0.0001338893,0.000436468,0.0008425316,0.0004209827,0.000418467],"domain_scores_gemma":[0.9982755,0.0001863174,0.0003120936,0.000651371,0.0004241086,0.0001506511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008588111,0.002076367,0.005188425,0.00009366568,0.0008997692,0.0001956289,0.003924774,0.0005782283,0.7783901,0.1382604,0.05872947,0.01080431],"study_design_scores_gemma":[0.005055391,0.003511517,0.1160781,0.0007841679,0.0001713287,0.002758656,0.0006810226,0.07859871,0.4683903,0.001749247,0.3193055,0.002916096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4062232,0.000006630562,0.573696,0.0007039667,0.005734728,0.0003384534,0.000004645794,0.0001789514,0.01311335],"genre_scores_gemma":[0.9911151,0.000002040254,0.006588599,0.0005439725,0.0006532595,0.00005361964,0.00003897039,0.00003214725,0.0009722692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5848919,"threshold_uncertainty_score":0.999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731174746267307,"score_gpt":0.2988005461527823,"score_spread":0.2814887986901092,"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."}}