{"id":"W3030624795","doi":"10.1145/3313831.3376665","title":"Genie in the Bottle","year":2020,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Perception; Consistency (knowledge bases); Computer science; Character (mathematics); Human–computer interaction; Associative property; Psychology; Artificial intelligence; Mathematics","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":[0.00003520942,0.00002104734,0.00002886455,0.0000066208,0.00001424617,0.000008558893,0.00007208258,0.00001990517,0.01990264],"category_scores_gemma":[0.00001787979,0.0000135978,0.00002017872,0.00007236988,0.000007168239,0.0000132852,0.000005166822,0.0000751566,0.004495153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003166633,"about_ca_system_score_gemma":0.000002816011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001423929,"about_ca_topic_score_gemma":0.00005239075,"domain_scores_codex":[0.9997696,0.00003744718,0.00004821941,0.00005454136,0.00003424809,0.00005592109],"domain_scores_gemma":[0.9998743,0.0000485223,0.000007624973,0.00005056722,0.000003869599,0.0000151116],"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":[0.00002538126,0.00005011141,0.004064334,6.04437e-7,0.000009188592,0.00001519927,0.02879158,0.000001293692,0.0001122013,0.1199203,0.8422696,0.004740198],"study_design_scores_gemma":[0.0002441868,0.00003372472,0.04230925,4.490962e-7,0.00000189079,0.00000296045,0.014523,0.00002402732,0.00002792095,0.0003493688,0.9424422,0.00004097732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02474896,0.00002643818,0.0002584489,0.0672083,0.0003393804,0.00005349228,3.560327e-7,0.00002988265,0.9073347],"genre_scores_gemma":[0.9535175,8.33286e-7,0.00002966843,0.04247038,0.0001296638,0.000007281003,6.023772e-7,0.00000240116,0.00384168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9287685,"threshold_uncertainty_score":0.99628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482226854688364,"score_gpt":0.416180531032535,"score_spread":0.2679578455636986,"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."}}