{"id":"W2034799284","doi":"10.1145/2677199.2680596","title":"DisplaySkin","year":2015,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Task (project management); Human–computer interaction; Kinematics; Computer vision; Wrist; Mobile device; Artificial intelligence; World Wide Web; Engineering; Medicine","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":[0.0003521543,0.001201071,0.0004816073,0.000485329,0.0004076798,0.001322481,0.001187705,0.0008200103,0.08939818],"category_scores_gemma":[0.002164399,0.0006239417,0.0007201469,0.0003633238,0.0002733623,0.002512484,0.00262294,0.0007200018,0.02341269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782986,"about_ca_system_score_gemma":0.0003744162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000835536,"about_ca_topic_score_gemma":0.001529799,"domain_scores_codex":[0.9996568,0.00005747502,0.00002297266,0.0000900615,0.0001260698,0.00004658328],"domain_scores_gemma":[0.9990782,0.0003127923,0.00005994819,0.0002544671,0.0001880397,0.0001066113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004343776,0.0002686019,0.00432442,0.003700661,0.0001929258,0.001410255,0.002911308,0.002715776,0.1833331,0.02899679,0.2174886,0.5503138],"study_design_scores_gemma":[0.0002630409,0.0009235148,0.01113809,0.0003657415,0.0002392658,0.002442558,0.0005492808,0.008755491,0.03638312,0.004581002,0.9341574,0.000201592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.127392,0.008071146,0.4516104,0.001508565,0.001444607,0.001421476,0.0225833,0.1074602,0.2785082],"genre_scores_gemma":[0.5040883,0.004000064,0.1566591,0.001401971,0.0003427876,0.001495847,0.01775305,0.01007156,0.3041874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08939818,"threshold_uncertainty_score":0.2990667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489001752195953,"score_gpt":0.268424315073594,"score_spread":0.2335342975516345,"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."}}