{"id":"W329186049","doi":"10.1007/978-1-4614-0992-2_5","title":"Data-Centric and Multimedia Components","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Multimedia; Human–computer interaction","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":[0.0002720944,0.001202328,0.0005398649,0.001628336,0.0003842582,0.002268584,0.001293722,0.0007459793,0.01975711],"category_scores_gemma":[0.0009662303,0.0004827742,0.0003234312,0.002960375,0.0008900206,0.003158654,0.0008320819,0.001315498,0.008013734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008444436,"about_ca_system_score_gemma":0.0005574296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005984745,"about_ca_topic_score_gemma":0.0008041948,"domain_scores_codex":[0.9996885,0.00002554507,0.00001504997,0.00005224529,0.0001995882,0.00001910702],"domain_scores_gemma":[0.99961,0.0001292057,0.00001511163,0.000105221,0.0001249224,0.00001560514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003330953,0.00002833389,0.00007414228,0.0004724119,0.00001688003,0.00008690981,0.0001105207,0.003863384,0.008490595,0.2751148,0.04408134,0.6676273],"study_design_scores_gemma":[0.000009349625,0.00004360356,0.0002647616,0.0002555955,0.0000377832,0.0008390483,0.00006002555,0.01892835,0.01784091,0.1469873,0.8147058,0.00002742949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00375132,0.06050391,0.6840382,0.001332686,0.002808816,0.0001641459,0.0003761158,0.002264487,0.2447604],"genre_scores_gemma":[0.05736391,0.06603204,0.3530187,0.001110445,0.002171981,0.0002651108,0.001142156,0.001436786,0.5174589],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01975711,"threshold_uncertainty_score":0.06609416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0816367066051823,"score_gpt":0.251425063484379,"score_spread":0.1697883568791967,"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."}}