{"id":"W4243827353","doi":"10.1145/1218063.1217969","title":"URICA","year":2006,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Adaptation (eye); Content adaptation; Mobile device; Multimedia; Human–computer interaction; Fidelity; Bandwidth (computing); World Wide Web; Ubiquitous computing; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002219055,0.001531236,0.001391656,0.002200024,0.001416466,0.004867131,0.003626861,0.00187748,0.1189165],"category_scores_gemma":[0.008773111,0.00106189,0.001217849,0.001870372,0.0007398415,0.004934786,0.004991618,0.002158378,0.1062412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200603,"about_ca_system_score_gemma":0.002061338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00385876,"about_ca_topic_score_gemma":0.003641508,"domain_scores_codex":[0.9971737,0.0005119755,0.0001822982,0.0006102049,0.001188262,0.0003335321],"domain_scores_gemma":[0.9967648,0.0005134561,0.000172385,0.001192225,0.0009888583,0.0003683079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001488408,0.000331893,0.00229034,0.001097883,0.0001701652,0.0004880033,0.0007773515,0.002600894,0.01501547,0.04355654,0.5477942,0.3843889],"study_design_scores_gemma":[0.0001395138,0.0001474308,0.001166101,0.0001682818,0.00005889004,0.0004249163,0.0001025748,0.01362385,0.007970916,0.01289578,0.9632135,0.00008823648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.009562518,0.004349041,0.2288943,0.001762705,0.001356472,0.001405784,0.01666605,0.421313,0.3146901],"genre_scores_gemma":[0.1269414,0.004442122,0.29329,0.003096414,0.0007596173,0.002829133,0.08979671,0.08536941,0.3934752],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1189165,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060085066111734,"score_gpt":0.3605419894159165,"score_spread":0.3199411387547992,"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."}}