{"id":"W2553203638","doi":"","title":"Pervasive mobile interaction devices (PERMID 2005): Mobile devices as pervasive user interfaces and interaction devices","year":2005,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hewlett-Packard (Canada)","funders":"","keywords":"Mobile device; Computer science; Mobile interaction; Human–computer interaction; Ubiquitous computing; User interface; World Wide Web; 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":[0.002212563,0.001143482,0.0007899597,0.002233752,0.001535175,0.007228571,0.001084718,0.002837279,0.01238535],"category_scores_gemma":[0.004194989,0.001207776,0.0005890055,0.002858258,0.00158564,0.009922707,0.004332469,0.004367648,0.005110138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446224,"about_ca_system_score_gemma":0.002929064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002571573,"about_ca_topic_score_gemma":0.004953825,"domain_scores_codex":[0.9982218,0.0004534689,0.0001460203,0.0002411058,0.0007932076,0.0001443635],"domain_scores_gemma":[0.9984024,0.0003980403,0.00009515153,0.0002291765,0.0006168624,0.0002584307],"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":[0.00009106816,0.00008775522,0.0008991573,0.001046679,0.00002544499,0.0002039229,0.002395031,0.0002826092,0.006239987,0.276588,0.2119696,0.5001707],"study_design_scores_gemma":[0.00002186283,0.000109053,0.001759953,0.000698549,0.00006086552,0.001089974,0.0007443022,0.001762327,0.005639371,0.03487278,0.9531859,0.00005504959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01478321,0.06031951,0.602406,0.01951567,0.01315934,0.0009775622,0.002733932,0.01201155,0.2740933],"genre_scores_gemma":[0.139859,0.04390585,0.5002391,0.009468445,0.003195023,0.001332493,0.006140225,0.003089534,0.2927703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01238535,"threshold_uncertainty_score":0.0414331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223137772172437,"score_gpt":0.2990357169564948,"score_spread":0.2768043392347704,"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."}}