{"id":"W1968069296","doi":"10.1145/2307798.2307801","title":"Proxemic peddler","year":2012,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Proxemics; Computer science; Human–computer interaction; State (computer science); Duration (music); Algorithm; Acoustics","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":[0.0009533677,0.001363746,0.0006206663,0.0006946609,0.0004729482,0.001910914,0.001831561,0.001134601,0.01643763],"category_scores_gemma":[0.003856212,0.0006134962,0.001074582,0.0003901642,0.0009963281,0.003052041,0.002523518,0.001057999,0.00398099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007702591,"about_ca_system_score_gemma":0.0004969098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005316702,"about_ca_topic_score_gemma":0.004978199,"domain_scores_codex":[0.9990886,0.0002462963,0.00004298993,0.0003611734,0.0001875785,0.00007335647],"domain_scores_gemma":[0.9992323,0.0002590264,0.00007581081,0.0002257907,0.0001439584,0.0000630921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001112977,0.0003521254,0.01478499,0.001210385,0.000246622,0.0009910974,0.004888244,0.0710134,0.02767771,0.4036272,0.03857483,0.4355204],"study_design_scores_gemma":[0.00008913257,0.0004694288,0.008137914,0.0001761474,0.0002410618,0.001129966,0.0009576313,0.7571946,0.01306291,0.07430003,0.144031,0.0002101786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03152459,0.0005676421,0.9177607,0.0004708118,0.0001201953,0.0003361876,0.001533121,0.008510171,0.03917664],"genre_scores_gemma":[0.5945476,0.0006321629,0.3588265,0.000444702,0.00008385414,0.0005231926,0.001970522,0.00079908,0.0421725],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01643763,"threshold_uncertainty_score":0.05498934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403008938773246,"score_gpt":0.2551110760003318,"score_spread":0.2410809866125993,"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."}}