{"id":"W3156433102","doi":"10.7202/1075638ar","title":"Making Performance Real: Six Paths to Training That Matters","year":2021,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Training and development; Value (mathematics); Leadership development; Point (geometry); Employee development; Management; Digital transformation; Knowledge management; Business; Marketing; Political science; Computer science; Economics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0203885,0.00100245,0.000455463,0.001797762,0.007816236,0.01771938,0.002190811,0.004292936,0.007011111],"category_scores_gemma":[0.03651723,0.0005716087,0.0005172836,0.001839151,0.01782122,0.01645987,0.01023827,0.008874845,0.002397309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007504683,"about_ca_system_score_gemma":0.02446635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002466301,"about_ca_topic_score_gemma":0.004202451,"domain_scores_codex":[0.9755946,0.01411279,0.0007861023,0.001723674,0.004568548,0.003214372],"domain_scores_gemma":[0.9583876,0.01639515,0.003718268,0.00167013,0.006891301,0.01293769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003603171,0.001913003,0.0413982,0.001909695,0.00008059369,0.0003478705,0.06214831,0.002075956,0.001555902,0.3034564,0.04640831,0.5383454],"study_design_scores_gemma":[0.0001978299,0.001956294,0.05669364,0.003990128,0.0001352026,0.0005874428,0.1512886,0.003663962,0.003265917,0.5236051,0.2543101,0.0003058173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1962524,0.007225761,0.0483749,0.4626574,0.001598269,0.0009012776,0.0002120656,0.0008873054,0.2818906],"genre_scores_gemma":[0.9413983,0.004046778,0.03445763,0.009486771,0.0001801962,0.0003813224,0.0001162766,0.0001802546,0.009752427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0203885,"threshold_uncertainty_score":0.107826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110898227335933,"score_gpt":0.3229954720301885,"score_spread":0.2120972446942555,"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."}}