{"id":"W2141810726","doi":"10.1002/meet.2011.14504801190","title":"Bibliometrics and LIS education: How do they fit together?","year":2011,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bibliometrics; Higher education; Library science; Variety (cybernetics); Field (mathematics); Sociology; Social science; Political science; Computer science; Mathematics","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":[0.1051002,0.001576066,0.004832893,0.04324592,0.003210147,0.03345927,0.00318726,0.006371245,0.00857395],"category_scores_gemma":[0.3215526,0.001549073,0.001758162,0.05392436,0.0157165,0.05738788,0.01196636,0.008879542,0.002669072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01026489,"about_ca_system_score_gemma":0.009665162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009002021,"about_ca_topic_score_gemma":0.006960374,"domain_scores_codex":[0.9157255,0.05528595,0.006066508,0.003174589,0.01771568,0.002031741],"domain_scores_gemma":[0.6222025,0.2888305,0.02147685,0.009257219,0.05045226,0.007780661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001635699,0.0002083053,0.0683789,0.002968008,0.0009261267,0.000190441,0.009982138,0.001423614,0.0001537159,0.2754222,0.05331575,0.5868673],"study_design_scores_gemma":[0.0001151488,0.0001877461,0.06549694,0.01327335,0.0005237258,0.0004021263,0.02318038,0.005709459,0.0002979685,0.7593272,0.1310335,0.0004524894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02400159,0.1607566,0.03850855,0.6987037,0.005150937,0.0002317975,0.0006737674,0.000805113,0.07116795],"genre_scores_gemma":[0.7173531,0.1252622,0.06710758,0.05869944,0.02001427,0.000871657,0.001018671,0.0008614346,0.008811643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9567541,"threshold_uncertainty_score":0.5558294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2697617665253107,"score_gpt":0.463028559855294,"score_spread":0.1932667933299833,"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."}}