{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004790812,0.0007264841,0.0003502883,0.0008040277,0.003121378,0.00195591,0.000625027,0.0008855023,0.1164275],"category_scores_gemma":[0.00160627,0.0001804947,0.0004883035,0.0005391604,0.0008589886,0.002015975,0.005090515,0.001372513,0.02663442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005741239,"about_ca_system_score_gemma":0.0004640633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565307,"about_ca_topic_score_gemma":0.004036944,"domain_scores_codex":[0.9995041,0.0001301797,0.0000154153,0.00008875023,0.0001339044,0.0001276956],"domain_scores_gemma":[0.9990302,0.0001430594,0.00009276068,0.0001765729,0.0001360445,0.0004213806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000696611,0.0005142089,0.02356387,0.0007449948,0.00007580432,0.003819399,0.02438832,0.001456379,0.008577417,0.188506,0.3225698,0.4250871],"study_design_scores_gemma":[0.00001417819,0.000157897,0.002978711,0.0001116057,0.00001576565,0.001007045,0.004079473,0.0004650395,0.0007588123,0.0050413,0.9853486,0.00002148013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09081507,0.001769624,0.01232217,0.002960515,0.001792315,0.0001915679,0.0007290867,0.001286749,0.8881329],"genre_scores_gemma":[0.4053451,0.001211348,0.007455586,0.001139343,0.0004286414,0.0002233822,0.0009262522,0.0002694938,0.583001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1164275,"threshold_uncertainty_score":0.3894888,"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."}}