{"id":"W4403096033","doi":"10.4018/979-8-3693-3759-2.ch009","title":"HR Analytics and Innovation","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in business strategy and competitive advantage book series","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Analytics; Data science; Computer science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001026316,0.0005326118,0.0005533374,0.001079433,0.0001600381,0.0003401831,0.0001735541,0.0002740599,0.0001605024],"category_scores_gemma":[0.00003516202,0.0004981146,0.00003590549,0.0004728526,0.0007544119,0.004651672,0.0003492625,0.0004446078,0.00005076112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003256565,"about_ca_system_score_gemma":0.0000351061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001031784,"about_ca_topic_score_gemma":0.0002745593,"domain_scores_codex":[0.998437,0.000002445059,0.0004775926,0.0006126366,0.0001880635,0.0002822313],"domain_scores_gemma":[0.9991034,0.00005084054,0.0002976362,0.000214902,0.0003242226,0.000008983909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006454752,0.00001123404,0.0003478642,0.001014077,0.00002965736,0.0001636339,0.000009533496,0.00002731606,0.00001463856,0.9896212,0.00004965045,0.008646694],"study_design_scores_gemma":[0.0001508719,0.00002030363,0.0003680879,0.0006406306,0.00005774604,0.00001545582,0.0004749315,0.00002401007,0.000008506157,0.4103794,0.5874702,0.0003898635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000334243,0.04271833,0.0001217029,0.000638754,0.0003848266,0.0002993951,0.00004010142,0.0002871795,0.9551755],"genre_scores_gemma":[0.05244586,0.178966,0.0002838555,0.00136937,0.00115928,0.00006874146,0.0004912796,0.0002197443,0.7649959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5874206,"threshold_uncertainty_score":0.999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527322939583538,"score_gpt":0.2437017812774485,"score_spread":0.2284285518816132,"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."}}