{"id":"W2103518672","doi":"10.1177/0165551504044668","title":"A Content Analysis of Librarianship Research","year":2004,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Social Development and Education Research","field":"Social Sciences","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Library science; Scientometrics; Content analysis; Descriptive statistics; Test (biology); Computer science; Sociology; Social science; Mathematics; Statistics","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0235105,0.0005875016,0.001083529,0.05186784,0.002323507,0.004608155,0.001093738,0.000644863,0.004316491],"category_scores_gemma":[0.09649447,0.0003878444,0.001451858,0.04478012,0.002009384,0.003820858,0.002690656,0.0004529929,0.0006476417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006178591,"about_ca_system_score_gemma":0.009909626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002796674,"about_ca_topic_score_gemma":0.002023182,"domain_scores_codex":[0.9704024,0.01261352,0.005056338,0.001971313,0.009105651,0.0008507809],"domain_scores_gemma":[0.8591337,0.09014552,0.01092011,0.004573953,0.03431978,0.0009070435],"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":[0.0008827522,0.0005832796,0.3476206,0.01648802,0.0009453417,0.0007186854,0.09867721,0.001034077,0.009325971,0.01901716,0.01292943,0.4917776],"study_design_scores_gemma":[0.000290985,0.001246122,0.6675088,0.01058384,0.001596649,0.0009886175,0.1662131,0.007313259,0.01246255,0.01191796,0.119657,0.0002211741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8779421,0.005487392,0.04029269,0.002215431,0.0003400915,0.01272735,0.0153291,0.0004203649,0.04524542],"genre_scores_gemma":[0.8165538,0.003404201,0.1460273,0.0006182972,0.0002562933,0.01951521,0.008590877,0.0002189496,0.004815054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9481322,"threshold_uncertainty_score":0.1243369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3880980548672912,"score_gpt":0.5062921322394113,"score_spread":0.1181940773721201,"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."}}