{"id":"W4387020529","doi":"10.1111/ijsa.12456","title":"Reactions of applicants with disabilities to technology‐enabled recruitment and selection: A research agenda","year":2023,"lang":"en","type":"article","venue":"International Journal of Selection and Assessment","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Selection (genetic algorithm); Psychology; Asynchronous communication; Personnel selection; Space (punctuation); Key (lock); Emerging technologies; Applied psychology; Computer science; Management; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007636147,0.00007891274,0.0001381764,0.001117773,0.0001661328,0.0001477603,0.0001057741,0.00003709263,0.00005354812],"category_scores_gemma":[0.00008083705,0.00006283821,0.0000247832,0.000988574,0.00006221864,0.0003368574,0.00007623954,0.0002273916,0.000006391655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047257,"about_ca_system_score_gemma":0.00006029244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001836145,"about_ca_topic_score_gemma":0.0001314161,"domain_scores_codex":[0.9989504,0.0000155269,0.0002835106,0.0001404251,0.0004666787,0.0001434915],"domain_scores_gemma":[0.9988809,0.00007590958,0.0001722245,0.00003744635,0.0008133037,0.00002026774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001216733,0.0008217775,0.7368876,0.0003688763,0.001190957,0.00003820473,0.0008498204,0.001738466,0.05683075,0.06981771,0.02804542,0.1021937],"study_design_scores_gemma":[0.00441913,0.001313568,0.3146918,0.001181418,0.000158691,0.000569304,0.01968567,0.005132144,0.006151913,0.02470936,0.621413,0.0005739984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885995,0.00001867402,0.00073,0.008008386,0.0001996976,0.0002142244,0.000002041283,0.00004694401,0.00218056],"genre_scores_gemma":[0.9981402,0.0001005213,0.000757039,0.00009893238,0.0003773857,0.00004151638,0.000002470909,0.00001003916,0.0004718789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5933676,"threshold_uncertainty_score":0.2562468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422153419034063,"score_gpt":0.4170956299254074,"score_spread":0.2748802880220011,"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."}}