{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000436008,0.0002111401,0.0003222213,0.000665294,0.0001278948,0.0004984349,0.0005891169,0.00002394248,0.0006854846],"category_scores_gemma":[0.00001162208,0.0001968807,0.0001746269,0.0003316739,0.00002874668,0.0009647169,0.0004402492,0.0001687452,0.0003802899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321544,"about_ca_system_score_gemma":0.00001486469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005007647,"about_ca_topic_score_gemma":0.0000169796,"domain_scores_codex":[0.9980332,0.00001959816,0.0005599215,0.0002432477,0.0008754313,0.0002686211],"domain_scores_gemma":[0.9987794,0.0000348931,0.0005709701,0.000184769,0.0004023043,0.00002763185],"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":[0.001062928,0.001322031,0.07265217,0.00102014,0.003721984,0.003587731,0.006117459,0.05870858,0.0008758563,0.4298012,0.3456529,0.07547705],"study_design_scores_gemma":[0.0009954096,0.00003868325,0.0800122,0.0006223795,0.0001265022,0.00002791707,0.005795307,0.002289715,0.0001249312,0.001071421,0.9085755,0.0003199877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6431393,0.00004618369,0.003486567,0.007319674,0.001635211,0.0002400057,0.000001629024,0.00003880098,0.3440926],"genre_scores_gemma":[0.9864406,0.00005312062,0.001811182,0.008107204,0.001061663,0.00001303725,0.00001020844,0.00002009167,0.002482911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5629227,"threshold_uncertainty_score":0.8028563,"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."}}