{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009448059,0.002091006,0.002099344,0.002740075,0.001595775,0.004558852,0.001514792,0.003434364,0.1467375],"category_scores_gemma":[0.00200925,0.0003431086,0.0008351328,0.001909074,0.0003910049,0.00369676,0.001568741,0.002393812,0.100166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008367203,"about_ca_system_score_gemma":0.001468058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002701527,"about_ca_topic_score_gemma":0.006376959,"domain_scores_codex":[0.9994673,0.00005143589,0.00005544478,0.0001013844,0.0002366599,0.00008784312],"domain_scores_gemma":[0.9979908,0.0001848799,0.00006443746,0.00005526196,0.00125403,0.0004505086],"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":[0.00008525916,0.00004250457,0.0001091311,0.0003359726,0.00001070855,0.00008036826,0.00001334099,0.00003750997,0.0006470156,0.0005156146,0.9205397,0.07758281],"study_design_scores_gemma":[0.00001287119,0.00005979502,0.0004983472,0.0002136781,0.00002778124,0.0001266984,0.00004395929,0.0001796896,0.0003910951,0.0004592561,0.9979748,0.00001197733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001304774,0.06704938,0.005748529,0.02541598,0.8207216,0.0002704026,0.0007903177,0.0005821993,0.0781168],"genre_scores_gemma":[0.006190303,0.05763569,0.002560417,0.01162496,0.1602823,0.0001708125,0.00200149,0.0005365316,0.7589974],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1467375,"threshold_uncertainty_score":0.4908858,"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."}}