{"id":"W3036528424","doi":"","title":"Foreword: 12th International Conference on Ubiquitous Computing, Adjunct Proceedings","year":2010,"lang":"en","type":"article","venue":"Ubiquitous Computing","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adjunct; Computer science; Ubiquitous computing; Human–computer interaction; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006034952,0.0003849399,0.000335895,0.0002671439,0.0005329624,0.0005428005,0.00277567,0.0001956661,0.0001212553],"category_scores_gemma":[0.00009536526,0.0003764878,0.0001485915,0.0005249484,0.0001198313,0.0003636808,0.001007987,0.0008906781,0.0003060477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006982654,"about_ca_system_score_gemma":0.0001507881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005303121,"about_ca_topic_score_gemma":0.00003104596,"domain_scores_codex":[0.996972,0.00002317179,0.000584031,0.00103214,0.0006701457,0.0007184882],"domain_scores_gemma":[0.9979743,0.0001790803,0.0003817602,0.0007407854,0.0004685147,0.00025553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001165544,0.0002955184,0.002011815,0.00003025509,0.00004634082,0.0000171263,0.001614204,0.0002422613,0.02530502,0.8245941,0.01103716,0.1347945],"study_design_scores_gemma":[0.0008544549,0.0002739822,0.004729781,0.0001551932,0.0000166189,0.0001923298,0.0001705507,0.9302278,0.01720585,0.01051079,0.03478117,0.0008815467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.510921,0.00001733628,0.4057952,0.002935819,0.004252738,0.0007747875,0.0000116422,0.001190006,0.07410146],"genre_scores_gemma":[0.9603411,0.00000569516,0.03657109,0.001179634,0.00141835,0.00002320973,0.0000134944,0.00003473853,0.000412692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9299855,"threshold_uncertainty_score":0.9998687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857077242509262,"score_gpt":0.2736567828213877,"score_spread":0.2550860103962951,"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."}}