{"id":"W4205865108","doi":"10.1109/acit53391.2021.9677374","title":"Matching Applicants with Positions for Better Allocation of Employees in the Job Market","year":2021,"lang":"en","type":"article","venue":"2021 22nd International Arab Conference on Information Technology (ACIT)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Matching (statistics); Process (computing); Job analysis; Work (physics); Business; Job attitude; Face (sociological concept); The Internet; Job hunting; Position (finance); Marketing; Job design; Job performance; Computer science; Internet privacy; Public relations; Job satisfaction; Psychology; Engineering; World Wide Web; Political science; Social psychology; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002211834,0.0006238103,0.001146049,0.003845776,0.00188181,0.001862065,0.001165232,0.001225102,0.01748057],"category_scores_gemma":[0.005173,0.0003533795,0.0008496977,0.002569808,0.0001608324,0.001268177,0.001014411,0.001064076,0.01039706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005243339,"about_ca_system_score_gemma":0.001040371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008739124,"about_ca_topic_score_gemma":0.01760781,"domain_scores_codex":[0.9987537,0.00033339,0.00008619684,0.0003530959,0.0002980533,0.0001755796],"domain_scores_gemma":[0.9982864,0.0004986514,0.0002013139,0.0002256021,0.0004265918,0.0003613545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00111361,0.002592648,0.1569843,0.0006100173,0.0001840049,0.0004784563,0.00174539,0.003109552,0.01459215,0.002913115,0.06521662,0.7504602],"study_design_scores_gemma":[0.0006904342,0.003118229,0.458752,0.0006167242,0.0009766424,0.002808263,0.01100255,0.2308406,0.02485237,0.01172289,0.2541142,0.0005050077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7620795,0.00374101,0.1718986,0.007347496,0.001649321,0.002671384,0.005544349,0.006057333,0.03901099],"genre_scores_gemma":[0.7025588,0.001505789,0.2443378,0.001017131,0.0006960547,0.0006231818,0.005487309,0.0002893406,0.04348465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01748057,"threshold_uncertainty_score":0.05847836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398608515495209,"score_gpt":0.2573583722973004,"score_spread":0.2433722871423483,"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."}}