{"id":"W347628959","doi":"","title":"Proceedings of the 2009 International Conference on Intelligent User Interfaces, February 8-11, 2009, Sanibel Island, Florida, USA","year":2009,"lang":"en","type":"article","venue":"Intelligent User Interfaces","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.002722963,0.001800056,0.002259669,0.0007063682,0.001166725,0.004468524,0.001474314,0.002385546,0.04878885],"category_scores_gemma":[0.00350626,0.0004410772,0.0007918171,0.0004224803,0.0008794742,0.002581768,0.001448113,0.003239686,0.02868334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006476019,"about_ca_system_score_gemma":0.001130963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00811449,"about_ca_topic_score_gemma":0.01838244,"domain_scores_codex":[0.9991156,0.0002332763,0.00006717615,0.0001695411,0.0002939304,0.0001203694],"domain_scores_gemma":[0.9977497,0.0004477061,0.00003563018,0.0001902941,0.001269626,0.0003070001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000746969,0.00102321,0.002289351,0.0004035322,0.0001366958,0.0003606378,0.0008583436,0.0005368525,0.0124459,0.002317501,0.6773582,0.3015228],"study_design_scores_gemma":[0.0002511502,0.001024617,0.01936086,0.0006494343,0.0007204099,0.001732957,0.002433007,0.04222459,0.02699729,0.005823263,0.8985536,0.0002287942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1164866,0.05047812,0.4540249,0.02472723,0.1048541,0.00211504,0.004846029,0.01942338,0.2230446],"genre_scores_gemma":[0.1769625,0.02667238,0.1130181,0.00491851,0.006767988,0.000946073,0.01297609,0.001786397,0.6559519],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04878885,"threshold_uncertainty_score":0.1632149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04596534152141394,"score_gpt":0.2853404172322636,"score_spread":0.2393750757108496,"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."}}