{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005266862,0.0002776588,0.0005902492,0.005085926,0.004483578,0.003902124,0.001047411,0.0005819441,0.001489252],"category_scores_gemma":[0.0108249,0.0002672111,0.0004162801,0.01156384,0.002306043,0.001091493,0.001926446,0.00122249,0.0001140221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03584483,"about_ca_system_score_gemma":0.06151167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9700243,"about_ca_topic_score_gemma":0.9859141,"domain_scores_codex":[0.9934274,0.0007649268,0.0003531355,0.0005829243,0.00286857,0.002003022],"domain_scores_gemma":[0.983577,0.002873068,0.002219673,0.0003460126,0.007146896,0.003837328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001913428,0.0001449359,0.8786576,0.0003181068,0.00007199872,0.0004969997,0.02385275,0.0001581494,0.000591851,0.001557518,0.003425531,0.0905332],"study_design_scores_gemma":[0.000005647968,0.00006320725,0.9666288,0.0003793802,0.00002373366,0.0002042257,0.02602661,0.0001496373,0.0002380431,0.00006239465,0.00618619,0.00003212132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847882,0.004884063,0.0002387998,0.002693515,0.00006382539,0.00005660093,0.0006749469,0.00001227234,0.006587826],"genre_scores_gemma":[0.9931671,0.00412409,0.0004458778,0.0009235874,0.00001820186,0.00002889123,0.0004011898,0.00001249057,0.0008784797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03584483,"threshold_uncertainty_score":0.2600737,"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."}}