{"id":"W2981427275","doi":"10.1111/ijsa.12272","title":"Editorial‐Current State and the Future of International Journal of Selection & Assessment","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Selection (genetic algorithm); Current (fluid); State (computer science); Computer science; Artificial intelligence; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01455405,0.001540747,0.00298818,0.006263866,0.004514136,0.0207943,0.003690566,0.00676543,0.03134164],"category_scores_gemma":[0.0721617,0.0007508668,0.001496885,0.003827193,0.002782008,0.009374183,0.002830619,0.009081668,0.02565199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00253154,"about_ca_system_score_gemma":0.01022983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008176935,"about_ca_topic_score_gemma":0.0012957,"domain_scores_codex":[0.9850646,0.001627659,0.002277489,0.001405024,0.00871239,0.0009127523],"domain_scores_gemma":[0.8391865,0.02265286,0.007249104,0.004026566,0.1038691,0.02301581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005755319,0.000045636,0.0003843913,0.0008695002,0.00001620294,0.00009177365,0.0001211411,0.00004956193,0.0001965883,0.001802972,0.9384918,0.05787289],"study_design_scores_gemma":[0.00001132714,0.00002975294,0.0003986922,0.0006792805,0.00001922233,0.0002515129,0.0001988095,0.000152161,0.0001421255,0.001727388,0.9963657,0.00002395963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002162976,0.01079575,0.0004473368,0.04198247,0.9424606,0.00002228424,0.00009714967,0.0001977633,0.003780398],"genre_scores_gemma":[0.002921294,0.01821117,0.0008113801,0.01235192,0.9494237,0.00003339305,0.000148497,0.0002420439,0.01585661],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03134164,"threshold_uncertainty_score":0.1048483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063117193283074,"score_gpt":0.3056212317489085,"score_spread":0.2949900598160777,"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."}}