{"id":"W1727834627","doi":"10.3968/6793","title":"The Countermeasures to Reduce and Avoid Stifling Talents: From the Perspective of Managers","year":2015,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Premise; Possession (linguistics); Social recognition; Quality (philosophy); Risk analysis (engineering); Competition (biology); Perspective (graphical); Business; Social phenomenon; Computer science; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006582694,0.00006703479,0.00007566287,0.00007251198,0.0004694816,0.0002145949,0.0004341838,0.00001417293,0.00003517594],"category_scores_gemma":[0.0001198305,0.00004391946,0.00002415226,0.0004906139,0.0005435952,0.0003453775,0.0001712995,0.00004630877,0.0000206045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006896886,"about_ca_system_score_gemma":0.00007724552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238349,"about_ca_topic_score_gemma":0.00001899286,"domain_scores_codex":[0.9990627,0.00001172346,0.0001389226,0.0001778614,0.0004725385,0.0001362852],"domain_scores_gemma":[0.9992018,0.00003879337,0.0001727142,0.000146058,0.0004242053,0.00001644492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004460927,0.000123627,0.008540547,0.00002998426,0.00002908854,1.991314e-7,0.00894552,0.0000210103,0.000923413,0.9446544,0.0319745,0.004713115],"study_design_scores_gemma":[0.0002179323,0.00001123053,0.6336256,0.00006020697,0.00004898574,6.948262e-8,0.05025304,0.00002544676,0.0001027047,0.01485742,0.3006639,0.0001334158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8193487,0.0003199758,0.00001150248,0.0069886,0.0007665583,0.0002761983,0.000001746415,0.00001534739,0.1722714],"genre_scores_gemma":[0.9965677,0.000004913118,0.00002025475,0.0008779258,0.000616313,0.00001226036,0.000001097286,0.00000479648,0.001894759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.929797,"threshold_uncertainty_score":0.361092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341156280263407,"score_gpt":0.2994897549674275,"score_spread":0.2653741269410868,"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."}}