{"id":"W2916003390","doi":"10.29242/hslstats.2020","title":"ARL Academic Health Sciences Library Statistics 2020","year":2022,"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; Data science; Political science; Computer science; 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":[0.002620944,0.001513534,0.001057849,0.008667772,0.00107906,0.005601448,0.001395797,0.001140716,0.1365387],"category_scores_gemma":[0.02051573,0.0009745641,0.0008482109,0.02098892,0.0004513313,0.003103166,0.001641085,0.00234354,0.2772056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005064415,"about_ca_system_score_gemma":0.01987107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1520953,"about_ca_topic_score_gemma":0.1507213,"domain_scores_codex":[0.995954,0.0003608405,0.00034601,0.0002168435,0.002817321,0.0003050687],"domain_scores_gemma":[0.9821864,0.002997434,0.001164114,0.0008192285,0.01152352,0.001309388],"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":[0.000003756118,0.000002485262,0.00007011608,0.00003085127,0.000001079989,0.000001602275,0.000003260926,0.00002342522,0.000005341753,0.0002859027,0.9917808,0.007791327],"study_design_scores_gemma":[0.000006256797,0.000004120955,0.001010607,0.0001186713,0.000002302436,0.00001180244,0.00001331771,0.0000697864,0.00002592695,0.0004073457,0.998321,0.000008801092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000384446,0.004021046,0.001990725,0.007817432,0.004327707,0.0002835518,0.6900256,0.007192024,0.2839575],"genre_scores_gemma":[0.002220277,0.007640407,0.006049307,0.00544536,0.002264639,0.000600493,0.6335407,0.002733124,0.3395056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9913322,"threshold_uncertainty_score":0.4567675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1642505378613903,"score_gpt":0.4897378561607487,"score_spread":0.3254873182993583,"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."}}