{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004489582,0.0003817596,0.0005610051,0.0004453273,0.0005109809,0.00006731562,0.0007956884,0.0002673666,0.002374122],"category_scores_gemma":[0.000004235845,0.0004571257,0.0001263723,0.0003500456,0.0004077992,0.00007942836,0.0007807819,0.0009130309,0.00002332862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004785,"about_ca_system_score_gemma":0.00002937361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024544,"about_ca_topic_score_gemma":0.0001352517,"domain_scores_codex":[0.9970176,0.0003101229,0.0005412184,0.001058574,0.0003855018,0.0006869553],"domain_scores_gemma":[0.9985999,0.0000827816,0.0001681477,0.0009725115,0.00003259838,0.0001440061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002979092,0.001624813,0.8984023,0.00002411125,0.00006102951,0.000991561,0.03743654,0.00002665925,0.0007610034,0.006363614,0.01900031,0.03527826],"study_design_scores_gemma":[0.002944289,0.0006999847,0.9638718,0.00003040402,0.0001884665,0.0005515585,0.01367446,0.0001270322,0.000160705,0.0006115905,0.01609918,0.001040506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943269,0.0004000173,0.0001134404,0.0009651556,0.001408134,0.0006291818,0.00006787622,0.000299119,0.001790124],"genre_scores_gemma":[0.9841421,0.000005405733,0.0005887683,0.002232203,0.0001567172,0.0005866885,0.00009423713,0.00007658987,0.01211724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06546953,"threshold_uncertainty_score":0.999788,"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."}}