{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000743984,0.0005326998,0.0003828123,0.002088956,0.001655273,0.002725991,0.001024029,0.001578435,0.6221882],"category_scores_gemma":[0.002617136,0.0005326203,0.0002049297,0.001868375,0.0003241128,0.002373436,0.001275212,0.001140045,0.4567082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481907,"about_ca_system_score_gemma":0.005133824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0444843,"about_ca_topic_score_gemma":0.1454328,"domain_scores_codex":[0.9994553,0.00004801405,0.00002108859,0.00003709418,0.0003818796,0.0000566752],"domain_scores_gemma":[0.9981102,0.0003408064,0.00006204355,0.00009248393,0.001055523,0.0003390877],"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":[0.000007007413,0.00004656914,0.0001028492,0.00003974675,3.45471e-7,0.00001650645,0.0000782705,0.00003203105,0.0001111707,0.001003209,0.9476588,0.05090348],"study_design_scores_gemma":[0.000004184886,0.000008407288,0.0006304937,0.0000335411,4.954138e-7,0.00002367336,0.00006531827,0.00005250783,0.0001024332,0.0002548085,0.9988194,0.000004670488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009206647,0.0003462592,0.002071859,0.001293887,0.0001997669,0.0003061476,0.0110984,0.00657303,0.9771901],"genre_scores_gemma":[0.001059779,0.000222835,0.001197285,0.0004061537,0.0000262573,0.00007509664,0.003556135,0.0008325642,0.9926239],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6221882,"threshold_uncertainty_score":0.5389026,"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."}}