{"id":"W2108009836","doi":"10.1177/154193120204601104","title":"Does the Jerome H. Ely <i>Human Factors</i> Article Award Predict Scientific Impact?","year":2002,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Receipt; Citation; Impact factor; Variance (accounting); Productivity; Psychology; Library science; Political science; Economics; Computer science; Law; Accounting","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008290536,0.0002183153,0.0005147208,0.004108226,0.0007322647,0.002172109,0.0004872293,0.0008676556,0.004904456],"category_scores_gemma":[0.06160651,0.0001399667,0.0003823357,0.004956311,0.001195196,0.001867706,0.00124892,0.0008109682,0.001305581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008322444,"about_ca_system_score_gemma":0.001245958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00589593,"about_ca_topic_score_gemma":0.007889211,"domain_scores_codex":[0.9976634,0.0006869972,0.0002284789,0.0001483755,0.0009960628,0.0002766969],"domain_scores_gemma":[0.9356747,0.02899645,0.02020887,0.001955285,0.007157261,0.006007358],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000162739,0.0001654726,0.9632346,0.0000829619,0.00009222118,0.0000945075,0.0003841699,0.0003803709,0.0001691701,0.0007766731,0.004514073,0.02994291],"study_design_scores_gemma":[0.00003215949,0.0001945397,0.9912211,0.00005176613,0.00006060755,0.0001764084,0.0007579369,0.001323798,0.0002669559,0.001937955,0.00395337,0.00002350354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698683,0.002449954,0.001246827,0.01332367,0.000548405,0.0000457955,0.0005958969,0.00002504789,0.01189625],"genre_scores_gemma":[0.9956956,0.001159306,0.0004752938,0.0003975101,0.0005293868,0.00001834116,0.0002560477,0.000006513756,0.001462059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9958917,"threshold_uncertainty_score":0.04384506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1940916362730056,"score_gpt":0.4053774046395725,"score_spread":0.2112857683665669,"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."}}