{"id":"W4321088024","doi":"10.3389/feduc.2023.1098319","title":"Embracing diversity during researcher evaluation in the academic scientific environment","year":2023,"lang":"en","type":"article","venue":"Frontiers in Education","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; Ministerio de Educación y Formación Profesional; Simon Fraser University","keywords":"Bottleneck; Diversity (politics); Computer science; Mathematics education; Political science; Data science; Sociology; Library science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.07106239,0.00007356354,0.0001110198,0.04572399,0.0006028759,0.0008297326,0.001856853,0.00008996829,0.0001486478],"category_scores_gemma":[0.01538529,0.00005327346,0.00004280288,0.1183339,0.0001646208,0.0006956203,0.0007762454,0.0004510259,0.0003160691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008169961,"about_ca_system_score_gemma":0.0003996602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001296158,"about_ca_topic_score_gemma":0.00002289601,"domain_scores_codex":[0.9886061,0.0009051348,0.0003961168,0.000610191,0.009003092,0.0004793733],"domain_scores_gemma":[0.998068,0.0007661377,0.0001065901,0.0005855612,0.0003744673,0.00009920357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001401967,0.00009453573,0.7627239,0.00000447055,0.000001723906,0.000001470604,0.004620331,0.0009711062,0.0002934104,0.0000641383,0.0564676,0.1747433],"study_design_scores_gemma":[0.000189145,0.000008468742,0.9349663,0.000009214423,0.00000170083,5.16001e-7,0.01341898,0.01354661,0.00009304379,0.03324026,0.004462167,0.00006356568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992083,0.0007507217,0.0001809073,0.001938209,0.002499631,0.000510456,0.000003418264,0.000009069385,0.002024596],"genre_scores_gemma":[0.9968334,0.0001542829,0.0002420536,0.00003287566,0.00008539164,0.00006273541,0.00001678816,0.000004314219,0.002568115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1746798,"threshold_uncertainty_score":0.9929085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5909706161472336,"score_gpt":0.5720299002343835,"score_spread":0.01894071591285007,"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."}}