{"id":"W2345784553","doi":"10.1080/00223891.2016.1170691","title":"To Be or Not to Be: Exploring the Nature of Positively and Negatively Keyed Personality Items in High-Stakes Testing","year":2016,"lang":"en","type":"article","venue":"Journal of Personality Assessment","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Psychology; Acquiescence; Personality; Social psychology; Keying; Construct (python library); Developmental psychology; Confirmatory factor analysis; Social desirability; Statistics; Structural equation modeling","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":[0.005773627,0.0004918567,0.0003481287,0.0008817187,0.0005154148,0.001466259,0.0004359567,0.0006475637,0.001242717],"category_scores_gemma":[0.02918422,0.0001711767,0.0003663585,0.0006053489,0.0009320643,0.001147757,0.001069028,0.001193005,0.0002588767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006096055,"about_ca_system_score_gemma":0.0006008819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947882,"about_ca_topic_score_gemma":0.00385063,"domain_scores_codex":[0.9974094,0.001197077,0.0002476659,0.000242463,0.0006419789,0.0002614961],"domain_scores_gemma":[0.9843038,0.007241812,0.005049309,0.0009215367,0.001199584,0.001284075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002279783,0.0002208948,0.9665896,0.00004831277,0.00006250873,0.0002280481,0.00530068,0.000110276,0.002046899,0.0003165386,0.0002019762,0.02464633],"study_design_scores_gemma":[0.000006578885,0.0001618978,0.9941267,0.00002964653,0.00001331823,0.0003518017,0.003516331,0.0006184541,0.0004429653,0.0004743259,0.0002436134,0.00001433729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989706,0.00003296203,0.0003527529,0.00003814375,0.000008365776,0.00001297957,0.00001841109,0.000002791603,0.0005629061],"genre_scores_gemma":[0.9991843,0.00002649784,0.0005529231,0.00003637941,0.000004982693,0.00002283092,0.00004323013,0.000002007731,0.0001268949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005773627,"threshold_uncertainty_score":0.03053427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1858768049782028,"score_gpt":0.4156027824390846,"score_spread":0.2297259774608817,"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."}}