{"id":"W4280556469","doi":"10.1177/08902070221099688","title":"Is what is beautiful good and still more accurately understood? A replication and extension of Lorenzo et al. (2010)","year":2022,"lang":"en","type":"article","venue":"European Journal of Personality","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Attractiveness; Psychology; Physical attractiveness; Replicate; Social psychology; Replication (statistics); Personality; Big Five personality traits; Extension (predicate logic); Computer science; Psychoanalysis; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01031436,0.000838911,0.0009059903,0.001170385,0.001202232,0.002142109,0.001442958,0.0009139804,0.009429365],"category_scores_gemma":[0.038248,0.0003790559,0.001348098,0.0007597578,0.002149466,0.002960477,0.002830728,0.001993972,0.001218058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050268,"about_ca_system_score_gemma":0.001212376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004531175,"about_ca_topic_score_gemma":0.003782175,"domain_scores_codex":[0.9972413,0.0007361664,0.000187937,0.0008559807,0.0008414828,0.00013721],"domain_scores_gemma":[0.9614329,0.01316293,0.00493254,0.01310935,0.006214241,0.001148034],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005420184,0.005093637,0.4889883,0.004291425,0.001500498,0.001199672,0.05340884,0.0008155284,0.04891901,0.02235062,0.009405816,0.3586065],"study_design_scores_gemma":[0.0003128601,0.00188984,0.9507723,0.0004204231,0.0007147809,0.001025553,0.006721719,0.001432238,0.00711207,0.01455608,0.0148279,0.0002142477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464821,0.002156481,0.01198239,0.002591706,0.0005348967,0.001332185,0.0008001696,0.00009408707,0.03402598],"genre_scores_gemma":[0.9830247,0.0008375167,0.008741367,0.001282851,0.0002411321,0.0009868062,0.0003348617,0.00004864348,0.004502061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9896857,"threshold_uncertainty_score":0.0545482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1409192922185543,"score_gpt":0.3837261501525813,"score_spread":0.242806857934027,"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."}}