{"id":"W4323637267","doi":"10.1145/3568294.3580160","title":"Where is My Phone?","year":2023,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Human–computer interaction; Robot; Salient; Phone; Feature (linguistics); Mobile robot; Track (disk drive); Interface (matter); Artificial intelligence","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":[0.0003708604,0.0003240627,0.0002981531,0.0005235299,0.002512681,0.002283,0.0004262613,0.001415372,0.08174443],"category_scores_gemma":[0.003030336,0.00012465,0.0002254342,0.0003964926,0.0005587126,0.00297944,0.001306148,0.001212557,0.05900762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003418359,"about_ca_system_score_gemma":0.0004822973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861278,"about_ca_topic_score_gemma":0.006648557,"domain_scores_codex":[0.9996711,0.0001166728,0.00001834249,0.00004990835,0.00007132297,0.00007266112],"domain_scores_gemma":[0.9990114,0.0001935816,0.0001264785,0.0000596307,0.0002071952,0.0004016213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001231247,0.0001102554,0.01066525,0.0003074037,0.00001696636,0.001201774,0.007812059,0.00004156289,0.001228204,0.003609943,0.6722915,0.302592],"study_design_scores_gemma":[0.000008838279,0.00007871127,0.006167169,0.0003074195,0.00001728778,0.002611616,0.01951922,0.0001146704,0.0003819772,0.002043079,0.9687093,0.00004067889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08425888,0.02480747,0.01257738,0.1541565,0.01397275,0.0002788755,0.004069258,0.004160695,0.7017182],"genre_scores_gemma":[0.3599921,0.01818608,0.01002084,0.07441201,0.002042474,0.0002329247,0.001989974,0.0003812753,0.5327424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08174443,"threshold_uncertainty_score":0.2734624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712407869909516,"score_gpt":0.4221957378465582,"score_spread":0.3509549508556066,"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."}}