{"id":"W2049859515","doi":"10.1145/2701973.2702730","title":"Personal Space Invaders","year":2015,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robot; Human–computer interaction; Space (punctuation); Bridge (graph theory); Repertoire; Computer science; Plan (archaeology); Personal space; Human–robot interaction; Artificial intelligence; Psychology; Social psychology","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":["insufficient_payload"],"category_scores_codex":[0.00005762569,0.00003593799,0.00004328105,0.00002338999,0.00001932586,0.00001158184,0.00003867922,0.00004065113,0.02066731],"category_scores_gemma":[0.00002826426,0.00003209462,0.00002826103,0.00004745301,0.00002123906,0.0000347199,0.000007559905,0.00006854824,0.009903078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002349138,"about_ca_system_score_gemma":0.000018622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00045002,"about_ca_topic_score_gemma":0.0000597322,"domain_scores_codex":[0.999685,0.00002571245,0.00004432087,0.0000798195,0.00007062779,0.00009449469],"domain_scores_gemma":[0.9997902,0.00002401525,0.0000137952,0.00005392679,0.00002968572,0.00008839841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003029394,0.00003699242,0.003061954,2.916794e-7,0.00001934293,0.000005397706,0.01324381,3.296982e-7,0.00002309276,0.06221255,0.9196575,0.001708399],"study_design_scores_gemma":[0.0006976759,0.00006745706,0.007350509,0.000001524136,0.000005726499,0.0000212223,0.07499596,0.00003418491,0.00005217158,0.0007889806,0.9158756,0.0001090545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03530706,0.00003261397,0.0005123509,0.006437354,0.00169185,0.00003320013,3.926975e-7,0.00007686947,0.9559083],"genre_scores_gemma":[0.7984641,3.49183e-7,0.0001454699,0.002678317,0.0001948979,0.000004476221,0.000001242731,0.000005198176,0.1985059],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7631571,"threshold_uncertainty_score":0.9908679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19197496753651,"score_gpt":0.424611100498614,"score_spread":0.232636132962104,"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."}}