{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005894317,0.0006001568,0.0005377347,0.0003423249,0.0004036829,0.001283041,0.001298951,0.0002449811,0.001454997],"category_scores_gemma":[0.00008552839,0.0005196077,0.0001810947,0.0003819547,0.0001697234,0.007696326,0.0006532381,0.0005611433,0.001295478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752718,"about_ca_system_score_gemma":0.000129794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000844212,"about_ca_topic_score_gemma":0.007416104,"domain_scores_codex":[0.9962705,0.0003219075,0.00082748,0.00133655,0.0005145326,0.0007290011],"domain_scores_gemma":[0.9972948,0.0007077283,0.0004105831,0.0008531871,0.0004152865,0.0003184197],"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":[0.001399981,0.00529103,0.07279192,0.002004437,0.002176924,0.0001458604,0.1194738,0.02350131,0.0379709,0.008866159,0.03144859,0.6949291],"study_design_scores_gemma":[0.001419278,0.002387138,0.007950559,0.0006827319,0.0002109011,0.0006476559,0.03353046,0.07191765,0.1835679,0.0004052749,0.6952059,0.002074578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808317,0.001992971,0.009125637,0.001675088,0.0009582684,0.0010198,0.000009393863,0.0005119386,0.003875166],"genre_scores_gemma":[0.986663,0.0003452613,0.00818807,0.001979962,0.0002741747,0.0003421774,0.00001184432,0.00003783486,0.002157652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6928545,"threshold_uncertainty_score":0.9997537,"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."}}