{"id":"W4321185622","doi":"10.29242/salary.2021","title":"ARL Annual Salary Survey 2021","year":2023,"lang":"en","type":"book","venue":"ARL annual salary survey","topic":"Library Science and Administration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Library science; Political science; Public relations; Management; Medical education; Medicine; Law; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001492108,0.0003729218,0.0002815008,0.002243834,0.0004817792,0.0009163875,0.000683905,0.000301572,0.03050972],"category_scores_gemma":[0.004202399,0.0002059375,0.0002233582,0.004809221,0.00006566089,0.0005044422,0.000528319,0.0005534941,0.04942141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366459,"about_ca_system_score_gemma":0.002482897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06520785,"about_ca_topic_score_gemma":0.08301406,"domain_scores_codex":[0.9983575,0.0002780049,0.0001361483,0.000123425,0.0009004663,0.0002044628],"domain_scores_gemma":[0.9957162,0.0004682888,0.000462956,0.0001776824,0.002903351,0.0002715137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003813335,0.00002571523,0.01128773,0.000114753,0.00000821916,0.00001219417,0.00006154842,0.00009010086,0.00004207457,0.0003942096,0.9608858,0.02703953],"study_design_scores_gemma":[0.00001781771,0.00004040913,0.1013169,0.0001094124,0.000007771652,0.00005238189,0.0001571527,0.0001580165,0.0001174168,0.00007701894,0.8979346,0.00001116334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01090322,0.001289726,0.0004363148,0.001056917,0.0003741694,0.000168616,0.8896028,0.0005651529,0.09560303],"genre_scores_gemma":[0.02938359,0.002573689,0.001327673,0.001085778,0.0002216088,0.0006654343,0.8300129,0.0001840526,0.1345453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9977562,"threshold_uncertainty_score":0.1296566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05308333224814098,"score_gpt":0.3141843043994893,"score_spread":0.2611009721513483,"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."}}