{"id":"W2958889885","doi":"10.25035/pad.2019.01.004","title":"Selection Tool Use: A Focus on Personality Testing in Canada, the United States, and Germany","year":2019,"lang":"en","type":"article","venue":"Personnel Assessment and Decisions","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Staffing; Personality; Selection (genetic algorithm); Personnel selection; Sample (material); Psychology; Preference; Big Five personality traits; Applied psychology; Social psychology; Medicine; Computer science; Management; Nursing; Statistics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000582272,0.000190739,0.0002291072,0.0001474974,0.0002556024,0.00009353878,0.0001201637,0.00008431013,0.0005864391],"category_scores_gemma":[0.00008010195,0.0001363277,0.00003204923,0.0004586208,0.00006050207,0.00009203876,0.00004039531,0.000430639,0.00001568372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122733,"about_ca_system_score_gemma":0.0002310927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6940377,"about_ca_topic_score_gemma":0.5563887,"domain_scores_codex":[0.99831,0.0002668692,0.0002662226,0.000477688,0.0002664324,0.0004127658],"domain_scores_gemma":[0.9970995,0.002409639,0.00008448082,0.0002354864,0.00006310761,0.0001078279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001468535,0.0001531725,0.9670832,0.000006279136,0.00006688358,0.00002925286,0.004618297,0.00006145921,0.00009367363,0.007256467,0.00464795,0.01583652],"study_design_scores_gemma":[0.001012572,0.0001645905,0.9803195,0.000035056,0.0000174295,0.00006166883,0.006609855,0.006275258,4.844511e-7,0.0006433732,0.004675624,0.0001845691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928775,0.00008490268,0.0001228044,0.002594357,0.0002780251,0.0003186894,0.00007665186,0.00002060211,0.003626463],"genre_scores_gemma":[0.9964365,0.0000421982,0.0003649819,0.002497325,0.00005311334,0.00003562983,0.00002293457,0.00001547528,0.0005318896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1376489,"threshold_uncertainty_score":0.6421097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07728232524667215,"score_gpt":0.3553081366775148,"score_spread":0.2780258114308427,"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."}}