{"id":"W1968098382","doi":"10.1002/dac.1386","title":"Ubiquitous computing for communications and broadcasting","year":2012,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Ubiquitous computing; Broadcasting (networking); Presentation (obstetrics); Focus (optics); Wireless sensor network; Quality (philosophy); Data science; Multimedia; Telecommunications; Human–computer interaction; Computer security; Computer network","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":[0.001435852,0.0009896462,0.0009795214,0.001567572,0.001219187,0.006660868,0.001461074,0.002929421,0.02297052],"category_scores_gemma":[0.007815737,0.0003338327,0.000653217,0.002256867,0.002136625,0.004505757,0.003125716,0.003333507,0.007951137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669502,"about_ca_system_score_gemma":0.001712645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001541568,"about_ca_topic_score_gemma":0.001003176,"domain_scores_codex":[0.9965904,0.001020925,0.0002591314,0.0004809519,0.0013713,0.0002772864],"domain_scores_gemma":[0.9967982,0.001331405,0.0002074381,0.0005033906,0.000943121,0.0002164561],"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":[0.00006708747,0.00001610677,0.0002472891,0.000866026,0.00004360081,0.0002399324,0.0004118041,0.001267335,0.00177139,0.5207736,0.1984796,0.2758163],"study_design_scores_gemma":[0.000007545795,0.000033917,0.0002096707,0.0003822274,0.00001653145,0.0004395547,0.0001431583,0.003364218,0.000605772,0.08090791,0.9138607,0.0000287486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004221194,0.2190204,0.3987471,0.04252321,0.04573841,0.0004150009,0.001176832,0.003018152,0.2851397],"genre_scores_gemma":[0.16781,0.2566734,0.1959021,0.01838307,0.04078449,0.0008991524,0.003000504,0.001476576,0.3150707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02297052,"threshold_uncertainty_score":0.0768441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736784115071575,"score_gpt":0.3015368478395857,"score_spread":0.27416900668887,"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."}}