{"id":"W6903865887","doi":"10.13140/rg.2.2.36197.65766","title":"The 20th BCS HCI Group conference in cooperation with ACM Understanding the experience Pervasive gaming Synthesising emotion Novel interfaces Designing interaction Interfacing around the globe: London…Prague… Montreal…Geneva…Pisa…Birmingham…Düsseldorf","year":2006,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interfacing; Group (periodic table); Interface (matter); User interface","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001332387,0.0004615712,0.0002983087,0.0003047186,0.002077449,0.001920527,0.001871707,0.0001621812,0.00001189885],"category_scores_gemma":[0.0004849957,0.0002573846,0.00006312833,0.00120362,0.0005222904,0.002572639,0.0006917888,0.0009592334,0.00001199918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182294,"about_ca_system_score_gemma":0.0001035834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002031982,"about_ca_topic_score_gemma":0.009285152,"domain_scores_codex":[0.9967884,0.0004049294,0.0008035019,0.000831786,0.0005185657,0.000652746],"domain_scores_gemma":[0.9961103,0.001733626,0.0006560565,0.001066043,0.0004017439,0.0000321995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000506315,0.0004003289,0.005016168,0.00005669593,0.0002263129,0.00005707622,0.05358656,0.03088007,0.5874209,0.2758751,0.0003503117,0.04562413],"study_design_scores_gemma":[0.001205225,0.0005304472,0.005516463,0.001560065,0.00005581008,0.0006432206,0.1875354,0.5344426,0.2585266,0.008784497,0.0001736419,0.00102602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4244512,0.0000807321,0.5717641,0.001837545,0.0004249982,0.0004618306,6.296198e-7,0.0001579487,0.0008210227],"genre_scores_gemma":[0.9947363,0.0000292801,0.004614157,0.000204505,0.000125103,0.0001337692,0.00000419646,0.00002997152,0.0001227432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5702851,"threshold_uncertainty_score":0.9999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05444662020907609,"score_gpt":0.2790113558057275,"score_spread":0.2245647355966514,"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."}}