{"id":"W2096738042","doi":"10.1111/j.1744-6570.2010.01204.x","title":"APPROACH OR AVOIDANCE (OR BOTH?): INTEGRATING CORE SELF‐EVALUATIONS WITHIN AN APPROACH/AVOIDANCE FRAMEWORK","year":2011,"lang":"en","type":"article","venue":"Personnel Psychology","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Psychology; Construct (python library); Set (abstract data type); Social psychology; Personality; Core self-evaluations; Construct validity; Incremental validity; Relation (database); Predictive validity; Cognitive psychology; Core (optical fiber); Big Five personality traits; Developmental psychology; Job performance; Psychometrics; Job satisfaction; 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":[0.001280696,0.0005342499,0.0006376369,0.0003044923,0.0006561269,0.00004809904,0.0009981631,0.0008267235,0.007492216],"category_scores_gemma":[0.0002840654,0.0004187645,0.0002477731,0.0008369964,0.0004219351,0.0003372574,0.00006824284,0.001683473,0.0006546918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094323,"about_ca_system_score_gemma":0.0001476173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006807904,"about_ca_topic_score_gemma":0.0003482267,"domain_scores_codex":[0.9952542,0.000795334,0.001059094,0.001471163,0.0003001245,0.001120085],"domain_scores_gemma":[0.9969569,0.0001589617,0.0006749035,0.001520866,0.0001847587,0.0005035628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0061299,0.02252224,0.04415487,0.0003330295,0.0004995681,0.0001771209,0.7070562,0.00002457132,0.0003178761,0.1430365,0.02671144,0.04903664],"study_design_scores_gemma":[0.01214319,0.01541283,0.6505825,0.0008267396,0.0009577361,0.003982705,0.2733402,0.01762766,0.00006372458,0.01316015,0.007154437,0.004748162],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7797431,0.0007859718,0.1159052,0.0003013085,0.005011227,0.001845001,0.0001355095,0.0009588977,0.09531379],"genre_scores_gemma":[0.7584388,0.00002205982,0.2323042,0.002749947,0.0005432508,0.001155893,0.00008975102,0.0001119797,0.00458406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6064276,"threshold_uncertainty_score":0.9998264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3171857072529757,"score_gpt":0.468954256454315,"score_spread":0.1517685492013393,"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."}}