{"id":"W2748736579","doi":"10.11575/prism/27473","title":"Proxemic Interactions in Ubiquitous Computing Ecologies","year":2011,"lang":"en","type":"dissertation","venue":"UCL Discovery (University College London)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Proxemics; Ubiquitous computing; Human–computer interaction; Leverage (statistics); Computer science; Multimedia; Artificial intelligence","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":[0.000192704,0.0004567283,0.0005532002,0.002076916,0.0004713158,0.0001184753,0.001961295,0.0004097619,0.00008815539],"category_scores_gemma":[0.00008067616,0.0005700441,0.0001959341,0.001766725,0.000115246,0.003790483,0.0005628342,0.001407954,0.0002107567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000971218,"about_ca_system_score_gemma":0.0004281178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005785617,"about_ca_topic_score_gemma":0.01336956,"domain_scores_codex":[0.9976384,0.0001678584,0.0004085396,0.00096679,0.0002706085,0.0005478173],"domain_scores_gemma":[0.9980665,0.0001933653,0.000632524,0.0007589246,0.0003009135,0.00004778663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009038039,0.001179359,0.003142443,0.0003835429,0.0004698663,0.002561468,0.01172873,0.0001393442,0.003795619,0.9471399,0.01757632,0.01097964],"study_design_scores_gemma":[0.01736834,0.003298109,0.4621346,0.007567422,0.0008943975,0.001298656,0.1932973,0.08319476,0.04397557,0.07790627,0.09400515,0.01505944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417184,0.00005471434,0.01403814,0.0002607143,0.004482,0.0008933955,0.0001405322,0.0005892191,0.03782286],"genre_scores_gemma":[0.9094361,0.00003330052,0.003118031,0.00008831592,0.00006475831,0.000006987012,0.0002283056,0.00003342075,0.08699078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8692336,"threshold_uncertainty_score":0.9996751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836256685312574,"score_gpt":0.2478833581938669,"score_spread":0.2295207913407412,"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."}}