{"id":"W7095105112","doi":"","title":"University of Alberta Content Adaptation Architecture for Universal Multimedia Access","year":2008,"lang":"en","type":"article","venue":"","topic":"Education, Technology, and Ethics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Architecture; Exploit; Content adaptation; Cache; Proxy server; Proxy (statistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004584896,0.0003463159,0.0003694452,0.0007817809,0.0008134015,0.001773054,0.001634358,0.0007576062,0.009801872],"category_scores_gemma":[0.001039853,0.0002458156,0.0002369168,0.0007368195,0.0004779664,0.001130551,0.001202703,0.0008941304,0.004114843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002615052,"about_ca_system_score_gemma":0.001828723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0292766,"about_ca_topic_score_gemma":0.02842101,"domain_scores_codex":[0.9996322,0.00003748063,0.00002256626,0.00007104065,0.0001763972,0.00006036155],"domain_scores_gemma":[0.9994614,0.00004069565,0.00002124875,0.0001003849,0.0003023813,0.00007400921],"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":[0.001081174,0.0003812337,0.003815231,0.0002897259,0.00007747693,0.001056669,0.0009571733,0.03511582,0.1166454,0.1186067,0.08684485,0.6351286],"study_design_scores_gemma":[0.00009678603,0.0002177143,0.003406582,0.000114127,0.0001137131,0.0008199069,0.0003161614,0.6356531,0.05880009,0.02614015,0.2741985,0.0001231994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07763372,0.002786566,0.737296,0.001611431,0.0006288016,0.0006105223,0.0005730613,0.04010548,0.1387543],"genre_scores_gemma":[0.5625079,0.001963993,0.2837149,0.0005971395,0.0001555983,0.0003410661,0.001751401,0.0008308353,0.1481373],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0292766,"threshold_uncertainty_score":0.0582124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07183422083048796,"score_gpt":0.2628513298637498,"score_spread":0.1910171090332619,"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."}}