{"id":"W2149347590","doi":"10.1109/qshine.2004.7","title":"A QoS-based framework for distributed content adaptation","year":2004,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcoding; Computer science; Personalization; Interoperability; Adaptation (eye); Quality of service; The Internet; Context (archaeology); Content adaptation; Multimedia; Computer network; World Wide Web; Distributed computing; Ubiquitous computing; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000177339,0.00003562083,0.000056774,0.00002894469,0.0002251241,0.00001788454,0.0001858723,0.000110222,0.0001364378],"category_scores_gemma":[0.0009338885,0.00003299344,0.00003524423,0.0001366692,0.000133001,0.00003561999,0.000009811856,0.00006284761,0.000026444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007772094,"about_ca_system_score_gemma":0.0001320619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335225,"about_ca_topic_score_gemma":0.003535765,"domain_scores_codex":[0.9995907,0.00002899045,0.00009194775,0.00007563797,0.00008782163,0.0001248862],"domain_scores_gemma":[0.9994023,0.0002529971,0.00004096089,0.0001610966,0.0000993133,0.00004327978],"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":[0.000007940263,0.00004639163,0.0001056437,0.000001062195,0.000003145881,7.83299e-8,0.0008902684,0.00006199382,0.00002952795,0.9918994,0.0001312655,0.006823317],"study_design_scores_gemma":[0.002976947,0.0001473262,0.001897215,0.00004677726,0.00002093968,1.711201e-7,0.02207095,0.005820748,0.002940145,0.4796745,0.4840979,0.0003063313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004529381,0.00002650909,0.9506592,0.04163849,0.0001461874,0.0003416777,0.00001054986,0.0002548922,0.002393076],"genre_scores_gemma":[0.8461382,0.00001145973,0.1530246,0.0005773639,0.00003503568,0.00008221037,0.00003450798,0.00000288004,0.00009372267],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8416089,"threshold_uncertainty_score":0.201847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653348568629756,"score_gpt":0.3831732208423889,"score_spread":0.2178383639794133,"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."}}