{"id":"W86470207","doi":"","title":"Opportunities for proxemic interactions in ubicomp","year":2011,"lang":"en","type":"article","venue":"International Conference on Human-Computer Interaction","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Proxemics; Human–computer interaction; Ubiquitous computing; Computer science; Presentation (obstetrics); Natural (archaeology)","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":[0.0001936061,0.0002868689,0.0002395567,0.0007774131,0.0001382315,0.0002686662,0.001152137,0.00006128208,0.0005855491],"category_scores_gemma":[0.00002421592,0.0002920468,0.0001821195,0.0001225972,0.00005061261,0.00220642,0.0001905147,0.0003885505,0.0001467299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002976483,"about_ca_system_score_gemma":0.0000675083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368586,"about_ca_topic_score_gemma":0.0001233867,"domain_scores_codex":[0.9981462,0.00008841274,0.0005382861,0.000623335,0.0002786357,0.0003251623],"domain_scores_gemma":[0.9985762,0.0001120183,0.000286533,0.0003808409,0.0005745857,0.00006984059],"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":[0.0002852521,0.0008625491,0.0004166788,0.00001951684,0.0001493176,0.00005926438,0.004384958,0.00005206426,0.01839704,0.9490526,0.006936836,0.01938395],"study_design_scores_gemma":[0.006577246,0.00373989,0.04736674,0.002219782,0.00006599171,0.0004784539,0.007835167,0.6214298,0.1231971,0.1075278,0.07625221,0.003309847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05930981,0.000005464752,0.7418799,0.003311398,0.009635908,0.0008066994,0.00003526552,0.0001538985,0.1848617],"genre_scores_gemma":[0.9890674,0.000008626537,0.007235762,0.001279031,0.0003328223,0.0002272663,0.00007213153,0.00002045587,0.001756441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9297577,"threshold_uncertainty_score":0.9999532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4222454153400915,"score_gpt":0.4037421036581006,"score_spread":0.01850331168199087,"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."}}