{"id":"W2083382256","doi":"10.1520/jte12524","title":"Knowledge Base System for Human Resource Evaluation in a University Environment","year":2005,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Human resources; Order (exchange); Function (biology); Engineering management; Teaching staff; Academic community; Statutory law; Knowledge base; Business; Knowledge management; Medical education; Engineering; Computer science; Management; Political science; Medicine; Library science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00428139,0.000574391,0.0008380425,0.005265706,0.0008037197,0.002607967,0.001394402,0.0009036246,0.006383786],"category_scores_gemma":[0.01423506,0.0002764021,0.0003068051,0.003208849,0.0002586705,0.002661039,0.001226647,0.0006075597,0.002531433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635363,"about_ca_system_score_gemma":0.001678534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125524,"about_ca_topic_score_gemma":0.008811813,"domain_scores_codex":[0.9977803,0.0007083837,0.0002952169,0.0003013147,0.0008302137,0.00008458396],"domain_scores_gemma":[0.988748,0.006324546,0.0005608806,0.001247845,0.002724188,0.0003945091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0024479,0.001924916,0.01318243,0.0008520262,0.0002430311,0.0008737721,0.001236263,0.02022266,0.01399943,0.004961005,0.03504356,0.905013],"study_design_scores_gemma":[0.001557823,0.001856539,0.04783168,0.0007864042,0.0007458659,0.001059165,0.001708862,0.7596211,0.07503702,0.01671857,0.0926749,0.0004019842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3014759,0.001093702,0.4939342,0.001213886,0.0002110772,0.003104544,0.0198954,0.1399753,0.03909589],"genre_scores_gemma":[0.6619508,0.0004330392,0.3116131,0.0002380108,0.00006226978,0.001045574,0.01735457,0.0006336885,0.006669045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01125524,"threshold_uncertainty_score":0.02264243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1905727982308972,"score_gpt":0.3294164533312484,"score_spread":0.1388436551003511,"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."}}