{"id":"W4407856776","doi":"10.1016/j.paid.2025.113116","title":"Comparing the characteristics of mate preference between China and Hungary","year":2025,"lang":"en","type":"article","venue":"Personality and Individual Differences","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"National Social Science Fund of China","keywords":"Psychology; Preference; China; Social psychology; Statistics; Archaeology; Geography; 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":[0.0002841699,0.00008198294,0.0001923151,0.000717962,0.0003171234,0.0003651839,0.000136253,0.000136673,0.001565421],"category_scores_gemma":[0.0006699003,0.00005523446,0.000174653,0.0007068106,0.0002983638,0.0001649031,0.0003184786,0.0001416739,0.0001076789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905744,"about_ca_system_score_gemma":0.0002536504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006419261,"about_ca_topic_score_gemma":0.01169612,"domain_scores_codex":[0.9998509,0.00003816266,0.000008908521,0.00002621458,0.00002282992,0.00005289888],"domain_scores_gemma":[0.9996674,0.00009490707,0.0000627483,0.00002152789,0.00003426787,0.0001190436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006206348,0.00008439864,0.9793068,0.00001923887,0.00009598679,0.0002966096,0.002103616,0.0002371375,0.005864696,0.0007544066,0.0001995145,0.01041695],"study_design_scores_gemma":[0.000004872028,0.00005393988,0.9985496,0.000001311875,0.000007167232,0.00005729868,0.0008580892,0.0001872154,0.0001082657,0.00005303797,0.0001169703,0.000002091083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997539,0.00001405845,0.00001619797,0.000005233187,0.000001290346,7.571652e-7,0.00001193185,2.285923e-7,0.0001963602],"genre_scores_gemma":[0.9998904,0.000006222012,0.00001126015,0.000003386972,7.974047e-7,4.511653e-7,0.00002393876,2.434574e-7,0.0000632683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006419261,"threshold_uncertainty_score":0.0127638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413142893646252,"score_gpt":0.34293114009798,"score_spread":0.2016168507333548,"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."}}