{"id":"W3095432334","doi":"10.29242/salary.2019-2020","title":"ARL Annual Salary Survey 2019–2020","year":2020,"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; Position (finance); Ethnic group; Library science; Political science; Medicine; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001317143,0.000289272,0.0001785467,0.00202805,0.0004417304,0.0008704669,0.0006551004,0.0002712379,0.0204271],"category_scores_gemma":[0.002886563,0.0001675968,0.0002417267,0.004028651,0.00007496194,0.0006119116,0.000596216,0.0005131904,0.03000117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874865,"about_ca_system_score_gemma":0.002291906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0906622,"about_ca_topic_score_gemma":0.1305767,"domain_scores_codex":[0.9988534,0.0001545014,0.0001004404,0.0001007423,0.0006174573,0.0001733184],"domain_scores_gemma":[0.9964048,0.0002473599,0.0005009217,0.0001118223,0.002409269,0.0003259749],"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":[0.00007229152,0.00003799598,0.03126983,0.0001826113,0.00001711878,0.00002697234,0.00009061398,0.0001756839,0.0001075133,0.0005270736,0.926807,0.04068532],"study_design_scores_gemma":[0.00001634401,0.000043763,0.1914729,0.0001134888,0.00001255254,0.0001000671,0.000235498,0.0002555556,0.0001975953,0.00007998949,0.8074583,0.00001384371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0268629,0.002078851,0.0006082155,0.001804107,0.0006619997,0.0001059945,0.8733754,0.0006514798,0.09385115],"genre_scores_gemma":[0.07498226,0.003709197,0.00153693,0.001590033,0.0003846841,0.0003957965,0.7957918,0.0001686175,0.1214407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.997972,"threshold_uncertainty_score":0.180269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730427455962496,"score_gpt":0.294288992189749,"score_spread":0.256984717630124,"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."}}