{"id":"W1532774936","doi":"10.18438/b8h60g","title":"Students and Libraries May Benefit from Late Night Hours","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Library science; Medical education; Psychology; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007673908,0.0002754306,0.0004001716,0.0007118325,0.002631923,0.004641269,0.0006449992,0.0009611039,0.04657225],"category_scores_gemma":[0.00399345,0.0001981874,0.0005464028,0.001494034,0.0006396085,0.003102691,0.004348644,0.0008297576,0.01293777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006141652,"about_ca_system_score_gemma":0.0015711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802985,"about_ca_topic_score_gemma":0.009415733,"domain_scores_codex":[0.9989645,0.000295785,0.00004773978,0.00006555575,0.0002164719,0.0004098043],"domain_scores_gemma":[0.9951949,0.0004502179,0.0007304838,0.0002496651,0.0006453805,0.002729444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005231187,0.001486941,0.2185376,0.001285489,0.00008797615,0.001839285,0.03438284,0.000167526,0.003977695,0.004573371,0.1708339,0.5623043],"study_design_scores_gemma":[0.00004965483,0.001028084,0.3893723,0.0004463764,0.00006295261,0.0018916,0.1099797,0.0001126389,0.001500397,0.002690157,0.4927731,0.0000931776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449074,0.005374359,0.001582663,0.02335701,0.001082617,0.00008980405,0.001254492,0.0007115582,0.12164],"genre_scores_gemma":[0.9020833,0.003225907,0.00119499,0.008317853,0.0008507151,0.00009424827,0.0007572978,0.0001705356,0.08330513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04657225,"threshold_uncertainty_score":0.1557997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955389920545053,"score_gpt":0.3070284982905448,"score_spread":0.2774745990850943,"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."}}