{"id":"W2158928271","doi":"10.1109/icdew.2007.4400972","title":"Multimedia Content Repurposing in Ambient Intelligent Environments","year":2007,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Repurposing; Computer science; Multimedia; Context (archaeology); Human–computer interaction; Task (project management); World Wide Web; Ubiquitous computing; Architecture; Engineering","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":[0.0008042541,0.0004716918,0.0005957326,0.0009765169,0.0006545868,0.001319924,0.001341651,0.0008219034,0.001683678],"category_scores_gemma":[0.002903952,0.0002546306,0.0003255966,0.0007505066,0.0007181588,0.002612318,0.001436093,0.0006150209,0.001159093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002878694,"about_ca_system_score_gemma":0.0002287253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008118326,"about_ca_topic_score_gemma":0.0007426639,"domain_scores_codex":[0.9994164,0.0001622292,0.00003782966,0.0001244419,0.0002041385,0.00005496975],"domain_scores_gemma":[0.9986528,0.0005008709,0.0001255224,0.000338406,0.0002417174,0.0001407594],"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":[0.000702982,0.0003982909,0.001688878,0.0003761704,0.00005152815,0.001997826,0.002197607,0.01185316,0.2747943,0.013836,0.006651842,0.6854514],"study_design_scores_gemma":[0.0002257246,0.001360085,0.008109187,0.000175508,0.0002971628,0.006121482,0.001797633,0.3406684,0.4771335,0.04627483,0.1175081,0.0003284534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1378977,0.001696217,0.8297023,0.0003559299,0.00008527064,0.0004463511,0.00009684903,0.01665694,0.01306246],"genre_scores_gemma":[0.6313419,0.001148099,0.3567223,0.0002493398,0.0001549941,0.0001918487,0.0003305547,0.0005506152,0.009310322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001683678,"threshold_uncertainty_score":0.00563246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0667383061000671,"score_gpt":0.2711290273740938,"score_spread":0.2043907212740267,"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."}}