{"id":"W2015049375","doi":"10.1145/1178823.1178834","title":"Assessment of mobile experience engine, the development toolkit for context aware mobile applications","year":2006,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; Banff Centre; Concordia University","funders":"","keywords":"Computer science; Context (archaeology); Software engineering; Mobile computing; Mobile device; Software; Architecture; Multimedia; Human–computer interaction; World Wide Web; Operating system","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":[0.004833048,0.0005021757,0.0003791892,0.001677169,0.0005126408,0.002499101,0.0008310743,0.0006771036,0.002195536],"category_scores_gemma":[0.01493469,0.0002977251,0.0003166781,0.0006645426,0.0005868876,0.00262138,0.001689817,0.000450709,0.0005869548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007070613,"about_ca_system_score_gemma":0.001496975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565251,"about_ca_topic_score_gemma":0.002011586,"domain_scores_codex":[0.9961201,0.001502616,0.0002865458,0.0002820046,0.001602893,0.0002059068],"domain_scores_gemma":[0.9936569,0.002699364,0.0003219061,0.0009161851,0.001976321,0.0004292202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001404921,0.001167268,0.03515304,0.002197407,0.0001332905,0.00219089,0.01700926,0.01654529,0.08943363,0.06252146,0.007154986,0.7650887],"study_design_scores_gemma":[0.0005200655,0.01182728,0.08960956,0.002174217,0.0008138799,0.009786277,0.01471362,0.2560999,0.2230337,0.02015645,0.3707693,0.0004957907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6690797,0.001751784,0.2569136,0.0005963042,0.0001168116,0.002109647,0.0005399865,0.00553399,0.06335815],"genre_scores_gemma":[0.7753283,0.0007239756,0.2120485,0.00008306451,0.00001128081,0.0003974004,0.0005779379,0.0006231084,0.01020638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004833048,"threshold_uncertainty_score":0.0255599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572320052794078,"score_gpt":0.3188248187036713,"score_spread":0.3031016181757305,"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."}}