{"id":"W2129446845","doi":"10.1109/hicss.2002.994514","title":"An adaptive MP3 player: reducing power consumption and increasing application performance","year":2003,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Mobile computing; Wireless; Decoding methods; Context (archaeology); Distributed computing; Mobile telephony; Constraint (computer-aided design); Computer network; Mobile device; Wireless network; Mobile radio; Telecommunications; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002402195,0.00007568848,0.00006879061,0.00003478423,0.00006828688,0.00002044291,0.00002844149,0.00004583295,0.00003920502],"category_scores_gemma":[0.00001409379,0.00007512415,0.00000896437,0.00005378802,0.00002569818,0.0002413311,0.000004518399,0.0000719555,0.000008402266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006225179,"about_ca_system_score_gemma":0.000008374283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004470449,"about_ca_topic_score_gemma":0.000009531979,"domain_scores_codex":[0.9995657,0.00002742353,0.00009738089,0.0001274143,0.00005331887,0.0001287664],"domain_scores_gemma":[0.9997385,0.00002300332,0.00001088293,0.0001429382,0.00003090625,0.00005380815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001506526,0.0001182771,0.7953063,0.000376259,0.00005604287,0.000003058891,0.003754769,0.02794025,0.04883262,0.022556,0.0001427064,0.1007631],"study_design_scores_gemma":[0.0004607459,0.0001416024,0.5110022,0.00002306464,0.00001682578,0.00004099798,0.001309343,0.469849,0.01509369,0.0005723618,0.001069775,0.000420394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764562,0.0000831111,0.01699609,0.000004078945,0.00003129187,0.0001463424,5.708796e-7,0.0001557274,0.006126595],"genre_scores_gemma":[0.9974537,0.00001989984,0.002465083,0.00000837294,0.000008881623,0.00001253095,0.000002232907,0.00001000642,0.00001928473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4419087,"threshold_uncertainty_score":0.3063474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007313441303489485,"score_gpt":0.2101274781193967,"score_spread":0.2028140368159073,"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."}}