{"id":"W4414429274","doi":"10.29242/hslstats.2024","title":"ARL Academic Health Sciences Library Statistics 2024","year":2025,"lang":"en","type":"book","venue":"ARL academic health sciences library statistics","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health statistics; Biomedical sciences; Academic library; Statistical analysis; Health services; Health science","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":[0.002158267,0.001319828,0.0009086728,0.008412102,0.001118535,0.005152689,0.001444404,0.001048087,0.1590353],"category_scores_gemma":[0.01919912,0.000832225,0.0007768106,0.02056028,0.0004492371,0.002575328,0.001443556,0.002291092,0.2767029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00577685,"about_ca_system_score_gemma":0.01955763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1791389,"about_ca_topic_score_gemma":0.1581327,"domain_scores_codex":[0.9956703,0.0003688314,0.0003307585,0.0002142126,0.003113094,0.0003027561],"domain_scores_gemma":[0.985158,0.00255114,0.001075005,0.0007642101,0.009472982,0.0009786629],"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":[0.000003059365,0.000002187772,0.00006741106,0.0000244651,9.039412e-7,0.000001333383,0.000003086508,0.00002211615,0.000004462149,0.0003534878,0.9929777,0.006539907],"study_design_scores_gemma":[0.00000485336,0.000003351255,0.001095632,0.00009720868,0.000002031528,0.000009018495,0.00001283406,0.00006635165,0.00002428579,0.0003991746,0.998278,0.000007155973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003412525,0.003015535,0.0017254,0.006710932,0.003548519,0.0002557491,0.636031,0.005580789,0.3427908],"genre_scores_gemma":[0.002347072,0.00561124,0.004947583,0.004347517,0.002100871,0.0004750991,0.5395733,0.002047848,0.4385494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9915879,"threshold_uncertainty_score":0.5320262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018640176124888,"score_gpt":0.4825549649777268,"score_spread":0.380690947365238,"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."}}