{"id":"W2940953466","doi":"10.1111/ijsa.12243","title":"Factors affecting compliance with reference check requests","year":2019,"lang":"en","type":"article","venue":"International Journal of Selection and Assessment","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Compliance (psychology); Psychology; Reference data; Reference model; Reference values; Sample (material); Selection (genetic algorithm); Applied psychology; Computer science; Social psychology; Database; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002215123,0.00009386867,0.0001290204,0.0001841117,0.00006310391,0.0002645825,0.0001233877,0.00002624427,0.0001490602],"category_scores_gemma":[0.00001514319,0.00006646712,0.00003105353,0.0001150352,0.00001203688,0.0007972151,0.00002935977,0.0002109801,0.00001250554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007158934,"about_ca_system_score_gemma":0.00003197329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007979009,"about_ca_topic_score_gemma":0.00003486287,"domain_scores_codex":[0.999251,0.000007342805,0.0001956044,0.0001074829,0.0003417151,0.00009682133],"domain_scores_gemma":[0.9991734,0.00003263947,0.0003483712,0.00003544042,0.0003969611,0.00001319565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009373735,0.00008401553,0.986013,0.00004394585,0.0001364761,0.000007162934,0.00005127892,0.0002481746,0.002891314,0.006493249,0.0003746119,0.003563036],"study_design_scores_gemma":[0.001498844,0.0001589116,0.9707965,0.0005259024,0.00003949063,0.00008154902,0.000753723,0.001720495,0.0006557975,0.0007616412,0.02278054,0.0002266086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827226,0.00001723357,0.0008713583,0.0005467432,0.0005448978,0.0000534064,4.28729e-7,0.00002220933,0.01522114],"genre_scores_gemma":[0.9986516,0.00001543545,0.0004646777,0.0002467821,0.000392123,6.082926e-7,0.000003967605,0.000009025744,0.0002157806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02240593,"threshold_uncertainty_score":0.2710451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06315317397967546,"score_gpt":0.329211079724854,"score_spread":0.2660579057451786,"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."}}