{"id":"W4284966781","doi":"10.29242/salary.2020","title":"ARL Annual Salary Survey 2020","year":2022,"lang":"en","type":"book","venue":"ARL annual salary survey","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Library science; Institution; Political science; Medical education; Medicine; Computer science; Law","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01092624,0.0007280012,0.00090302,0.0002721072,0.00189803,0.0004769849,0.002239007,0.0007941628,0.007989744],"category_scores_gemma":[0.001609742,0.0007725689,0.0003504177,0.001285185,0.001010892,0.00372559,0.0006496877,0.0014151,0.001124397],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003700229,"about_ca_system_score_gemma":0.007052918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01729891,"about_ca_topic_score_gemma":0.06432685,"domain_scores_codex":[0.9884615,0.005327429,0.000972956,0.001501463,0.002449359,0.001287304],"domain_scores_gemma":[0.9949738,0.002273645,0.0006317613,0.0008365454,0.0005325092,0.0007517837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001112649,0.0001520655,0.09402099,0.00002216893,0.00008280432,0.000177746,0.005723205,0.000006517773,0.000001096929,0.001440221,0.893195,0.005066876],"study_design_scores_gemma":[0.0001734038,0.0002660804,0.377474,0.00002611409,0.00001966049,0.000004985911,0.001100257,0.000003560682,0.000001273329,0.001719836,0.6184609,0.0007499267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02116999,0.003838419,0.00002210411,0.003824285,0.009909027,0.00209029,0.05422877,0.0009536615,0.9039634],"genre_scores_gemma":[0.04911322,0.00105305,0.00004799167,0.001980208,0.002092955,0.00004210195,0.01929314,0.0001230978,0.9262542],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.283453,"threshold_uncertainty_score":0.9996533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03656613161069783,"score_gpt":0.297051031457966,"score_spread":0.2604848998472681,"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."}}