{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01773043,0.0003169762,0.0004583149,0.001259977,0.002392182,0.004570381,0.0007618956,0.001816469,0.008080645],"category_scores_gemma":[0.04396411,0.0002136829,0.0006372848,0.0009985052,0.001490142,0.002703308,0.003130882,0.001395221,0.0007793572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365187,"about_ca_system_score_gemma":0.002021066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140123,"about_ca_topic_score_gemma":0.002365972,"domain_scores_codex":[0.9877632,0.00828771,0.0004013745,0.0004321147,0.002009505,0.001106003],"domain_scores_gemma":[0.9594353,0.02641413,0.006492,0.001009143,0.003985714,0.002663755],"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":[0.0009241291,0.002614875,0.681173,0.001168929,0.0001121176,0.0009055165,0.1292734,0.0005214512,0.002671353,0.007624243,0.003264439,0.1697466],"study_design_scores_gemma":[0.00008151312,0.002184964,0.5353844,0.001698632,0.0001316817,0.0008985435,0.4358571,0.001915356,0.001917543,0.00616163,0.01362147,0.0001472609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9872918,0.0004127335,0.0008751888,0.003773897,0.00007840576,0.0001266533,0.00004004157,0.000005884397,0.00739545],"genre_scores_gemma":[0.9963058,0.0005421516,0.0005668174,0.0008391952,0.00005837094,0.0001777654,0.00001920998,0.000002090994,0.00148865],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01773043,"threshold_uncertainty_score":0.0937686,"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."}}