{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662361,0.0006794031,0.000491619,0.001120781,0.008804664,0.00715581,0.0009587594,0.002566042,0.06859978],"category_scores_gemma":[0.005018026,0.0003835359,0.0006324011,0.001014818,0.006556803,0.007830086,0.007850535,0.004406623,0.01913412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276593,"about_ca_system_score_gemma":0.002363005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382666,"about_ca_topic_score_gemma":0.01886809,"domain_scores_codex":[0.9983615,0.0004786398,0.00004091371,0.0002895198,0.0005501696,0.0002791516],"domain_scores_gemma":[0.9989011,0.0002411272,0.0001079202,0.0001963707,0.0003117372,0.0002417457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002111035,0.00007199467,0.005163907,0.0002661756,0.00003770983,0.002082761,0.1246046,0.0001684819,0.002612225,0.4623832,0.2993835,0.1030144],"study_design_scores_gemma":[0.000003327744,0.0000133842,0.0004045354,0.00007486979,0.000005457169,0.000347875,0.01630848,0.00006553055,0.0001479693,0.006857909,0.9757528,0.00001783272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03306764,0.003030229,0.008227352,0.04483706,0.003670184,0.0001114888,0.0005991919,0.0007340214,0.9057229],"genre_scores_gemma":[0.319348,0.002594721,0.007261199,0.01899442,0.000598074,0.0001136468,0.0004604729,0.001415879,0.6492135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06859978,"threshold_uncertainty_score":0.2294891,"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."}}