{"id":"W4319878256","doi":"10.29242/hslstats.2021","title":"ARL Academic Health Sciences Library Statistics 2021","year":2023,"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":"Library science; Health statistics; Academic library; Medical library; Biomedical sciences; Political science; Statistics; Computer science; Medicine; Environmental health; Mathematics","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":[0.002186158,0.001334368,0.001002238,0.00845269,0.00111498,0.00487368,0.001399129,0.001010531,0.1401058],"category_scores_gemma":[0.02114713,0.0008798175,0.0007828171,0.02221736,0.0004278455,0.002551865,0.0013326,0.002419447,0.2653586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005345877,"about_ca_system_score_gemma":0.02048826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1868984,"about_ca_topic_score_gemma":0.1833702,"domain_scores_codex":[0.9960811,0.0003230455,0.0002924658,0.0001897331,0.002835575,0.0002781763],"domain_scores_gemma":[0.9814735,0.003783643,0.001318972,0.00084683,0.01146287,0.001114102],"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":[0.000003318504,0.000002361499,0.00008275447,0.00002886712,9.614914e-7,0.000001572941,0.000003537411,0.0000257118,0.000004968446,0.0003085985,0.9920732,0.007464148],"study_design_scores_gemma":[0.000005985331,0.000003780489,0.001492167,0.000131229,0.000002265361,0.00001432175,0.00001537473,0.0000834716,0.0000298755,0.0004652585,0.9977468,0.000009539936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003789819,0.003030725,0.001970977,0.007135883,0.00317668,0.0002942948,0.7003232,0.005875816,0.2778135],"genre_scores_gemma":[0.002629309,0.006920296,0.006212442,0.004908512,0.002105588,0.000615628,0.6499176,0.002740439,0.3239502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9915473,"threshold_uncertainty_score":0.4687006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2135244739136415,"score_gpt":0.5068518326762774,"score_spread":0.2933273587626359,"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."}}