{"id":"W4388036762","doi":"10.1016/j.acalib.2023.102805","title":"Does one size fit all ages? Results of an international survey on academic library services for non-degree seeking older adults","year":2023,"lang":"en","type":"article","venue":"The Journal of Academic Librarianship","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Lifelong learning; Higher education; Pandemic; Population; Coronavirus disease 2019 (COVID-19); Online learning; Medical education; Psychology; Library science; Sociology; Political science; Pedagogy; Medicine; Computer science; World Wide Web; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004241643,0.0003048841,0.0005367693,0.001205125,0.0005598025,0.0008031214,0.0009439471,0.0009695893,0.002706714],"category_scores_gemma":[0.02389768,0.0002853024,0.0009130912,0.001537426,0.0005466539,0.002644704,0.001016546,0.0008552363,0.0005545354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005901075,"about_ca_system_score_gemma":0.0007633719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034584,"about_ca_topic_score_gemma":0.04087636,"domain_scores_codex":[0.998446,0.0004978031,0.0002598524,0.0001727784,0.0003356746,0.0002878889],"domain_scores_gemma":[0.991003,0.00270512,0.00349153,0.0004808683,0.001133299,0.001186108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006722893,0.00006576,0.9946621,0.00002325806,0.00005265639,0.00003128261,0.0009964169,0.00001624181,0.00004263139,0.00005430297,0.0004480944,0.003540034],"study_design_scores_gemma":[0.000008902824,0.000144357,0.9947674,0.00003883746,0.00006016124,0.00009083513,0.004222418,0.00007618144,0.00003448328,0.000069981,0.0004818031,0.000004597568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954507,0.0006759106,0.0001088317,0.001124493,0.00002400262,0.00003030809,0.0006003298,0.000003897301,0.00198164],"genre_scores_gemma":[0.9987611,0.0002010131,0.00006477645,0.0004347502,0.00001403134,0.0000159559,0.0002118642,0.000004076924,0.0002924713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02034584,"threshold_uncertainty_score":0.0404548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059960990921065,"score_gpt":0.3493707527650512,"score_spread":0.2433746536729448,"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."}}