{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005415022,0.00003984511,0.00003314043,0.000024336,0.0000289759,0.00002061947,0.0002169315,0.0000128432,0.0002074799],"category_scores_gemma":[0.000008195761,0.00002998795,0.00002538192,0.00006731819,0.000006349114,0.0008460977,0.00007634454,0.00003963055,0.001699719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001101399,"about_ca_system_score_gemma":0.000007438925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006397471,"about_ca_topic_score_gemma":2.194206e-7,"domain_scores_codex":[0.9996319,0.00001060687,0.00004264009,0.00007373955,0.00006287063,0.0001782412],"domain_scores_gemma":[0.999742,0.00001522571,0.00001294118,0.0001537627,0.00003065815,0.00004542154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003059865,0.0001333911,0.01684278,0.00000406222,0.00001674798,0.000001530961,0.00198926,4.869069e-7,0.09972907,0.8250155,0.05292471,0.003339436],"study_design_scores_gemma":[0.000389934,0.0001067283,0.2187667,0.00001286603,0.000007511293,0.00007120973,0.0003916326,0.00277925,0.5830665,0.001692542,0.192206,0.0005091968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03905163,0.00006690491,0.5732476,0.0005372248,0.0007015354,0.000065849,2.057826e-7,0.00003007511,0.386299],"genre_scores_gemma":[0.9908182,9.730795e-7,0.003589214,0.00117845,0.00007168422,0.000003809172,3.811845e-7,0.000001910584,0.004335369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9517666,"threshold_uncertainty_score":0.9990776,"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."}}