{"id":"W4404534619","doi":"10.29242/hslstats.2023","title":"ARL Academic Health Sciences Library Statistics 2023","year":2024,"lang":"en","type":"book","venue":"ARL academic health sciences library statistics","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health statistics; Library science; Biomedical sciences; Health science; Academic library; Political science; Computer science; Medical education; Medicine; Environmental health","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":[0.002200643,0.00122672,0.0009655461,0.007565811,0.001108798,0.00496686,0.001405127,0.001056325,0.1627148],"category_scores_gemma":[0.02087368,0.0008529177,0.0008390341,0.02138885,0.0004336216,0.002399542,0.001345614,0.002480891,0.30177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005244255,"about_ca_system_score_gemma":0.01878487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1710458,"about_ca_topic_score_gemma":0.1595339,"domain_scores_codex":[0.9959116,0.0003519419,0.0003106694,0.0002037338,0.00294617,0.0002758788],"domain_scores_gemma":[0.9821504,0.003350573,0.001156537,0.0009444547,0.01139609,0.001001995],"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":[0.000003210015,0.000002005512,0.00006793175,0.00002227015,9.116526e-7,0.000001358063,0.000003182102,0.00002067583,0.000005340826,0.0003085417,0.9929884,0.006576133],"study_design_scores_gemma":[0.000005455744,0.000003353192,0.001093684,0.00009337506,0.000002210528,0.00001165109,0.00001235064,0.00007791317,0.00002989899,0.0004697285,0.9981923,0.000008138662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003374111,0.002731827,0.002197572,0.006982079,0.003219067,0.0002652445,0.642283,0.00674305,0.3352408],"genre_scores_gemma":[0.002503615,0.005947466,0.006189307,0.005197327,0.00221659,0.0005781932,0.5467669,0.00301194,0.4275886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9924342,"threshold_uncertainty_score":0.5443354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1896067759426865,"score_gpt":0.5061147691484765,"score_spread":0.31650799320579,"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."}}