{"id":"W2502266447","doi":"10.4018/978-1-60566-046-2.ch039","title":"Parallel Computing on a Mobile Device","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Bluetooth; Mobile device; Wireless; Interface (matter); Implementation; Computer network; Gigabit; Mobile computing; Embedded system; Operating system; Telecommunications","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"],"consensus_categories":[],"category_scores_codex":[0.0002128014,0.0005751637,0.000555024,0.000130977,0.0002254998,0.0002953321,0.001597366,0.0004329259,0.000006758845],"category_scores_gemma":[0.00001277972,0.0005841415,0.0002610384,0.00005126304,0.00005550498,0.00006883734,0.0004169629,0.0004544554,0.0002740325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441729,"about_ca_system_score_gemma":0.0001796327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000149299,"about_ca_topic_score_gemma":0.000004231689,"domain_scores_codex":[0.9974943,0.00004222646,0.0005294015,0.0009201972,0.0005378003,0.0004761024],"domain_scores_gemma":[0.9980803,0.00007410765,0.000390467,0.00109289,0.0001690294,0.0001931855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007370023,0.00001600253,0.000001081221,0.00001028258,0.00002544947,0.00005417361,0.00004444313,0.004490011,6.702641e-7,0.9084573,0.005252536,0.08164071],"study_design_scores_gemma":[0.0006898965,0.0009629921,0.00002569784,0.0009372529,0.00004152344,0.0001434074,0.000002705275,0.06334637,0.00006788865,0.7514388,0.1805548,0.001788685],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000006618185,0.0002267014,0.2941547,0.00005900635,0.0002088217,0.0003401868,0.000006837623,0.001317109,0.70368],"genre_scores_gemma":[0.09323336,0.00003880339,0.6843208,0.01141279,0.0009900969,0.00003593523,0.00001644283,0.0001361166,0.2098157],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4938644,"threshold_uncertainty_score":0.999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109435915105778,"score_gpt":0.2703121091165409,"score_spread":0.2492177499654831,"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."}}