{"id":"W2135259798","doi":"10.5860/crl.61.3.234","title":"Patterns of Database Use in Academic Libraries","year":2000,"lang":"en","type":"article","venue":"College & Research Libraries","topic":"Web and Library Services","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Academic library; Sample (material); Computer science; Online database; World Wide Web; Information retrieval; Library science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000730287,0.0002068534,0.0003339038,0.0006718112,0.0002212856,0.0007510743,0.003233129,0.0001657128,0.001105329],"category_scores_gemma":[0.0001549233,0.0001872808,0.00006387728,0.00233976,0.0003053561,0.02163301,0.001462946,0.000855697,0.0001090045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001667909,"about_ca_system_score_gemma":0.0007391649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004278872,"about_ca_topic_score_gemma":0.00008469819,"domain_scores_codex":[0.9965315,0.0006277249,0.0005157179,0.0006198318,0.0008982923,0.0008069004],"domain_scores_gemma":[0.9970745,0.001365116,0.00006301617,0.001180588,0.0000673933,0.0002494106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002109222,0.0001778393,0.1384768,0.0002069327,0.00002193999,0.0002420838,0.002683636,0.00002756256,0.0003488511,0.8272441,0.02340111,0.006958262],"study_design_scores_gemma":[0.002481039,0.0006477319,0.3161325,0.0008858807,0.000006994288,0.00003288623,0.002107562,0.01312504,0.04780291,0.09286467,0.5228283,0.001084494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830089,0.002416228,0.0005094049,0.004842242,0.0001352179,0.0005453702,0.000351003,0.0002387844,0.007952858],"genre_scores_gemma":[0.9751787,0.0009184459,0.01084163,0.0007244085,0.0001505484,0.00006995501,0.00006333432,0.00003507812,0.01201797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7343794,"threshold_uncertainty_score":0.9998078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09696913108164355,"score_gpt":0.3255264303986803,"score_spread":0.2285572993170368,"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."}}