{"id":"W4285735870","doi":"10.1016/j.chb.2022.107403","title":"Sex robots and personality: It is more about sex than robots","year":2022,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Robot; Personality; Psychology; Social psychology; Artificial intelligence; Computer science","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":[0.001301659,0.0002401684,0.0002561976,0.0007035845,0.001384174,0.004633414,0.0002780304,0.001041874,0.006357016],"category_scores_gemma":[0.007213055,0.0001872796,0.000251192,0.0007254072,0.003677299,0.00255481,0.001057385,0.00181688,0.0004381849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005068879,"about_ca_system_score_gemma":0.000534475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892682,"about_ca_topic_score_gemma":0.003200566,"domain_scores_codex":[0.9986608,0.0008337687,0.00002762601,0.0001350453,0.0002450879,0.00009757872],"domain_scores_gemma":[0.9920427,0.003791698,0.001798464,0.0004485041,0.0007626323,0.001155938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008330381,0.0008719768,0.6000682,0.0005981292,0.0004879082,0.0008860877,0.1305309,0.0009501996,0.005593954,0.08019813,0.008848312,0.1701333],"study_design_scores_gemma":[0.00005730016,0.0003452183,0.8437155,0.0003805966,0.0002064106,0.001499297,0.07642944,0.0009108399,0.0007995183,0.04709125,0.02844094,0.0001236393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990874,0.007238866,0.003301369,0.01900709,0.000547902,0.00002487067,0.0001110234,0.00003307866,0.07064835],"genre_scores_gemma":[0.9944946,0.001062717,0.0004555701,0.001342076,0.0001020049,0.000007941555,0.00002390276,0.00001771968,0.002493564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006357016,"threshold_uncertainty_score":0.02126634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06843313144035086,"score_gpt":0.3695992690933897,"score_spread":0.3011661376530388,"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."}}