{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578696,0.0003552225,0.0002472883,0.002384129,0.0004331766,0.0009033431,0.0006450877,0.0002761268,0.02670478],"category_scores_gemma":[0.004052967,0.0001955592,0.0002082896,0.004473374,0.00006619118,0.0005287107,0.0005496811,0.0004464424,0.04469648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286807,"about_ca_system_score_gemma":0.002270011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05038851,"about_ca_topic_score_gemma":0.06470214,"domain_scores_codex":[0.9983106,0.0003014866,0.0001626366,0.0001404083,0.0008756964,0.0002091741],"domain_scores_gemma":[0.9954876,0.0003960468,0.0005038694,0.0001619501,0.003115907,0.0003345324],"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":[0.00004908121,0.00003100148,0.01617957,0.0001387116,0.00001164823,0.0000159249,0.00006977184,0.0001020052,0.00006346918,0.0004111687,0.9545507,0.02837705],"study_design_scores_gemma":[0.00001773631,0.00004662547,0.1163961,0.0001002022,0.000009451729,0.00006059231,0.0001787221,0.0001681063,0.000132077,0.0000723573,0.882807,0.00001121547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01536116,0.001567282,0.0004951791,0.001214718,0.0004840272,0.0001379606,0.8676046,0.0006722013,0.1124628],"genre_scores_gemma":[0.04132506,0.002649884,0.00144045,0.001573191,0.0002805603,0.0005818466,0.8136609,0.0001888233,0.1382992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05038851,"threshold_uncertainty_score":0.1001905,"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."}}