{"id":"W2103442193","doi":"10.1145/1134680.1134686","title":"Context-aware interactive content adaptation","year":2006,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adaptation (eye); Computer science; Content adaptation; Context (archaeology); Exploit; Mobile device; Human–computer interaction; Semantics (computer science); Process (computing); Context awareness; Ubiquitous computing; Multimedia; World Wide Web; Computer security","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":[0.0007784023,0.001156611,0.000654579,0.0007630719,0.0005294954,0.001157433,0.001933355,0.0009294744,0.003265299],"category_scores_gemma":[0.004903772,0.0004907432,0.0006394626,0.0005570931,0.0004780475,0.001676543,0.002111523,0.001146553,0.00146179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00047762,"about_ca_system_score_gemma":0.0004831577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003045813,"about_ca_topic_score_gemma":0.00324613,"domain_scores_codex":[0.998827,0.0003243253,0.00006724724,0.0002816749,0.000390537,0.0001091566],"domain_scores_gemma":[0.9975179,0.0009395425,0.0001025373,0.0007556672,0.0005513549,0.0001329227],"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":[0.0009129663,0.0007435988,0.006249154,0.0007017376,0.0002267204,0.00118953,0.001641787,0.04968841,0.2348989,0.006941577,0.02083287,0.6759729],"study_design_scores_gemma":[0.00009558564,0.0002471336,0.006805637,0.00006358263,0.0001483419,0.0009467131,0.0002972977,0.838886,0.09352981,0.00869943,0.05012157,0.0001589556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09997787,0.001405125,0.8332341,0.0002645445,0.0002146232,0.0006442483,0.000354428,0.04634869,0.01755642],"genre_scores_gemma":[0.7697868,0.0005888444,0.2198941,0.0003119013,0.0001151286,0.0003906381,0.0008042181,0.00113052,0.006977804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003265299,"threshold_uncertainty_score":0.0109235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725619768563293,"score_gpt":0.2433807007884202,"score_spread":0.1861245031027873,"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."}}