{"id":"W3135766858","doi":"","title":"Guides: HRMT 34000D Talent Acquisition: Web Resources","year":2016,"lang":"en","type":"libguides","venue":"","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Computer science; Business; Knowledge management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006149998,0.0009343152,0.0008311726,0.001252635,0.0004954492,0.001382416,0.00147213,0.0004697537,0.03350288],"category_scores_gemma":[0.00006996447,0.000690495,0.0005701898,0.0004648692,0.0002140419,0.001065622,0.001449931,0.0003690866,0.02131231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302658,"about_ca_system_score_gemma":0.00004413314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246264,"about_ca_topic_score_gemma":0.00008593864,"domain_scores_codex":[0.9955289,0.00002730922,0.001035626,0.001180081,0.001243226,0.0009848487],"domain_scores_gemma":[0.9975123,0.0000871283,0.0008148201,0.001249711,0.0002873707,0.00004871375],"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":[0.00002702461,0.00009052155,0.0004771673,0.0009495517,0.0002098079,0.0001056714,0.00002279892,0.000005047611,0.00001459207,0.01248959,0.9800563,0.005551965],"study_design_scores_gemma":[0.0007980549,0.00002056311,0.0005020231,0.000944916,0.0002872591,0.000003509708,0.0002228116,0.00008963004,0.000004527237,0.002338997,0.9937629,0.001024844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005254867,0.001808847,0.00008816092,0.007151036,0.002473196,0.00089728,0.0000684798,0.001121251,0.9811369],"genre_scores_gemma":[0.02275968,0.0008796338,0.0001229094,0.02621329,0.0384165,0.0002136689,0.000905253,0.0003366081,0.9101524],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07098443,"threshold_uncertainty_score":0.9996542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182953739186138,"score_gpt":0.2275371680483664,"score_spread":0.2092417941297526,"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."}}