{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867015,0.0001202645,0.0001541257,0.0004032177,0.00008167372,0.0001694755,0.0008584147,0.0001068066,0.00005657994],"category_scores_gemma":[0.00003390501,0.00009060127,0.00004297107,0.0004236363,0.00005821898,0.0009645702,0.0001056728,0.0001842251,0.00001236116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005161239,"about_ca_system_score_gemma":0.00009782237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003040168,"about_ca_topic_score_gemma":0.00005498474,"domain_scores_codex":[0.998926,0.00003994639,0.0004392304,0.0001787634,0.00027077,0.000145252],"domain_scores_gemma":[0.9987959,0.00009133641,0.0002453039,0.0003894831,0.0004616975,0.00001626879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000125013,0.00006096048,0.0008327221,0.00001866095,0.00003169409,0.000001766054,0.0007116462,0.00001409717,0.000275514,0.9518635,0.00116914,0.0450078],"study_design_scores_gemma":[0.003052712,0.001124146,0.02358973,0.00120842,0.0000338584,0.0004029819,0.00889248,0.04234548,0.0722883,0.7798725,0.06609688,0.001092459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02502533,0.000007966119,0.9262297,0.02459262,0.0001467252,0.0004046499,0.00003310151,0.00008874316,0.02347119],"genre_scores_gemma":[0.9384426,0.00003318407,0.06001168,0.0008821829,0.00002018455,0.0004531097,0.00006294284,0.000004141323,0.00009001042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9134172,"threshold_uncertainty_score":0.3694612,"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."}}