{"id":"W2978525497","doi":"10.1145/3338286.3340122","title":"WatchPen","year":2019,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Stylus; Computer science; Smartwatch; Human–computer interaction; Context (archaeology); Mobile device; Capacitive sensing; Touchpad; Selection (genetic algorithm); Mobile interaction; Input device; Artificial intelligence; Computer hardware; Embedded system; Wearable computer; Computer vision; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002671903,0.00002912346,0.00003325794,0.00001690315,0.0000116508,0.00002945232,0.0002928048,0.00000914159,0.0006693972],"category_scores_gemma":[0.000002445018,0.00002185326,0.00002344149,0.00005263699,0.000002589364,0.0003720631,0.00008436719,0.00002791461,0.009532887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006783911,"about_ca_system_score_gemma":0.000007729514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001408579,"about_ca_topic_score_gemma":5.128102e-7,"domain_scores_codex":[0.9997199,0.000006232058,0.00003301271,0.0001043835,0.0000540252,0.00008249764],"domain_scores_gemma":[0.9997422,0.00001585477,0.000008921932,0.0001892154,0.00002732022,0.00001653558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002927793,0.00002748677,0.005088067,0.000002708757,0.00001198303,0.000003861114,0.0004144668,0.000004284383,0.1415356,0.8263825,0.02435455,0.002171619],"study_design_scores_gemma":[0.0007317489,0.0002913378,0.1032585,0.00001642038,0.000002861944,0.00002635585,0.0003797551,0.02204158,0.6322595,0.007919943,0.2325874,0.000484678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06401231,0.000005232177,0.1909762,0.0009724209,0.0004426278,0.0000597559,1.26901e-7,0.00001722195,0.7435141],"genre_scores_gemma":[0.9774331,5.506764e-7,0.001951401,0.001603758,0.000009869914,9.061981e-7,3.40145e-7,0.000001271704,0.01899876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9134209,"threshold_uncertainty_score":0.9912383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003730243681098213,"score_gpt":0.2101778890016931,"score_spread":0.2064476453205949,"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."}}