{"id":"W1543080400","doi":"10.18438/b8131g","title":"Low Response Rate and Other Factors Render Academic Health Science Library System Study Ungeneralizable","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health science; Computer science; Library science; Academic library; Data science; Medical education; Medicine","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":[],"category_scores_codex":[0.01418922,0.0001643056,0.0001991031,0.0005285355,0.002196447,0.0002612238,0.0003189094,0.0001153458,0.0003035572],"category_scores_gemma":[0.00396785,0.0001264455,0.00001494931,0.001432956,0.0002059704,0.2633219,0.0002342796,0.000750277,0.0001459543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009715388,"about_ca_system_score_gemma":0.004482979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009547313,"about_ca_topic_score_gemma":9.984462e-8,"domain_scores_codex":[0.9938065,0.00363281,0.0008217636,0.0002484852,0.0005947158,0.0008957007],"domain_scores_gemma":[0.9928284,0.005091405,0.00064528,0.0003304548,0.00007589901,0.001028513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004207927,0.0002309948,0.866787,0.002465831,0.00001629364,0.000001205574,0.0411299,0.00004300175,0.0001683674,0.03462383,0.0473178,0.00300785],"study_design_scores_gemma":[0.0004781575,0.0004314742,0.4901349,0.0008442083,0.00000881391,0.000005620163,0.07022813,0.001727414,0.0003143255,0.000009100962,0.4356222,0.0001956622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240886,0.001859983,0.0002765417,0.06797631,0.001046905,0.002141545,0.00002585756,0.0002676399,0.002316623],"genre_scores_gemma":[0.9294609,0.0009808462,0.000878674,0.06768136,0.0002317251,0.0001264539,0.00001412729,0.0000137533,0.0006121091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3883044,"threshold_uncertainty_score":0.9991025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355535999585116,"score_gpt":0.4646735694656638,"score_spread":0.3291199695071522,"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."}}