{"id":"W7132972227","doi":"","title":"Predicting career progression amongst high potential employees: Job performance, career clarity, developmental implications","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Career development; Personality; Variance (accounting); Context (archaeology); Identification (biology); Big Five personality traits; Cognitive Information Processing; Sample (material); Job performance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001069979,0.0009088406,0.0007875683,0.0003607427,0.004366546,0.0006263312,0.001244304,0.001411364,0.002365994],"category_scores_gemma":[0.0002431327,0.0009659656,0.0003709498,0.001576822,0.0007296383,0.0007072076,0.0002277066,0.001420247,0.000507376],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142525,"about_ca_system_score_gemma":0.005677687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02341119,"about_ca_topic_score_gemma":0.01522361,"domain_scores_codex":[0.993367,0.0004188712,0.001252024,0.001579726,0.001912419,0.001469954],"domain_scores_gemma":[0.9960648,0.0001051211,0.0008459762,0.0007181193,0.001436719,0.0008292202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009545124,0.0007114886,0.7825705,0.0004249696,0.0001582809,0.000003380906,0.207922,0.00009402318,0.0003906545,0.0005034162,0.001230743,0.005895102],"study_design_scores_gemma":[0.0007119329,0.0001966244,0.926566,0.0006236632,0.0002773172,0.00000700654,0.06496705,0.00001159144,0.0004455089,0.0002685953,0.004843005,0.001081726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776732,0.0002493526,0.00005513912,0.002189013,0.00459617,0.002193596,0.00005480748,0.0004029874,0.01258572],"genre_scores_gemma":[0.975585,0.0003088245,0.002039356,0.0001039629,0.001002595,0.0006146507,0.001654975,0.0001264113,0.01856425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1439955,"threshold_uncertainty_score":0.9999592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405303012942526,"score_gpt":0.3664941675734512,"score_spread":0.3324411374440259,"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."}}