{"id":"W7095212186","doi":"","title":"Electronics, 3.27 (no. 632), 187-195. Ubiquitous Media and the Active Office","year":2008,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rank (graph theory); Key (lock); Ubiquitous computing; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000414908,0.00007100734,0.0001271161,0.00004166879,0.0006314504,0.00001787606,0.0004920806,0.0001278226,0.0005345173],"category_scores_gemma":[0.0009690177,0.00004868993,0.00003344221,0.0001826635,0.001695053,0.00008207463,0.0001074487,0.0002624914,0.0002704776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004927045,"about_ca_system_score_gemma":0.0002035207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247716,"about_ca_topic_score_gemma":0.01087891,"domain_scores_codex":[0.9990596,0.0002441816,0.0001181382,0.0001362291,0.0001887899,0.0002530848],"domain_scores_gemma":[0.9985598,0.0008902812,0.00005942933,0.0003213067,0.0001062701,0.00006290289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001819843,0.0001147421,0.0006100925,0.00000251441,0.0000612776,0.000003857431,0.04949009,3.40785e-7,0.0001412646,0.8544344,0.03589017,0.05906928],"study_design_scores_gemma":[0.001153739,0.00002730505,0.001254305,0.000002593159,0.00001206397,0.000005556395,0.004808134,0.0002144064,0.0005297806,0.006331178,0.9855118,0.0001490786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1451464,0.002555785,0.0001554336,0.05379295,0.0005898505,0.0006799065,0.000003563514,0.0006116518,0.7964644],"genre_scores_gemma":[0.9841617,0.009533385,0.0006562859,0.0007911917,0.0001389385,0.00001875833,0.000002966882,0.000006491895,0.00469025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9496217,"threshold_uncertainty_score":0.6245492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319905825468985,"score_gpt":0.2888291792092068,"score_spread":0.2656301209545169,"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."}}