{"id":"W2755820394","doi":"10.18438/b8bm1f","title":"Studying the Night Shift: A Multi-method Analysis of Overnight Academic Library Users","year":2017,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Administration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Computer science; Sample (material); Sample size determination; Consistency (knowledge bases); Statistical analysis; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001826341,0.0001188786,0.0001886185,0.000243695,0.00186129,0.001765889,0.0009660969,0.0001219367,0.0004955411],"category_scores_gemma":[0.002823354,0.0000865621,0.00009573663,0.0008948964,0.0003891698,0.4745296,0.00017713,0.0003032745,0.00001643394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006146717,"about_ca_system_score_gemma":0.0005872301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001016437,"about_ca_topic_score_gemma":0.000001769247,"domain_scores_codex":[0.9978723,0.0007013958,0.000488697,0.0001790356,0.0005464851,0.0002120951],"domain_scores_gemma":[0.9953927,0.002877188,0.001095109,0.0004632801,0.0000287051,0.0001430462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004492585,0.0001072368,0.2797103,0.00008473635,0.0003128835,0.00001034935,0.02716506,0.0006427074,0.0000497287,0.6672255,0.002949687,0.02129258],"study_design_scores_gemma":[0.0002813265,0.00009131098,0.558365,0.0001422898,0.0003387614,0.000001453327,0.00984411,0.01085486,0.000840238,0.0002921647,0.4187301,0.0002184256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1873792,0.0009965248,0.01781433,0.7458607,0.0007843948,0.001475388,0.00009490602,0.0003339969,0.04526049],"genre_scores_gemma":[0.9609948,0.002113021,0.008846963,0.02695945,0.00009089297,0.00001795179,0.00002967429,0.00000603171,0.0009412041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7736155,"threshold_uncertainty_score":0.9994382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05577383385619863,"score_gpt":0.3727881426530133,"score_spread":0.3170143087968147,"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."}}