{"id":"W2070372221","doi":"10.3758/s13428-014-0524-5","title":"Response latencies are alive and well for identifying fakers on a self-report personality inventory: A reconsideration of van Hooft and Born (2012)","year":2014,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Congruence (geometry); Correctness; Personality; Psychology; Personality theory; Personality Assessment Inventory; Test (biology); Personality test; Social psychology; Psychometrics; Computer science; Test validity; Developmental psychology; Algorithm","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02308126,0.0008375356,0.001247925,0.002061486,0.001075262,0.003378309,0.002108439,0.002565159,0.002507966],"category_scores_gemma":[0.1150223,0.0005503637,0.001026092,0.001268611,0.00190755,0.007152758,0.002004103,0.003672031,0.001797748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004148898,"about_ca_system_score_gemma":0.0008872861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205396,"about_ca_topic_score_gemma":0.002979934,"domain_scores_codex":[0.9865942,0.005326698,0.001383546,0.002116347,0.004072947,0.0005061268],"domain_scores_gemma":[0.8445109,0.09245512,0.02143328,0.02517893,0.01476502,0.001656743],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001272021,0.0005084272,0.6463814,0.0007655367,0.0005411708,0.0004917734,0.004114881,0.0006187034,0.01232462,0.01485646,0.01155923,0.3065658],"study_design_scores_gemma":[0.00006244782,0.002205204,0.8702006,0.001191726,0.0007498743,0.003557221,0.004995733,0.007786985,0.02019103,0.05311308,0.03560385,0.0003423015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6367785,0.008899542,0.2620893,0.02333456,0.007874315,0.0007640243,0.004201225,0.0009240755,0.05513456],"genre_scores_gemma":[0.9209277,0.001720755,0.06175402,0.004619132,0.001130041,0.0004770186,0.0007492084,0.0002976507,0.008324387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974349,"threshold_uncertainty_score":0.1220668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4177800838840858,"score_gpt":0.5838089755094042,"score_spread":0.1660288916253184,"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."}}