{"id":"W4252436203","doi":"10.18438/b82c9k","title":"Research Methods: Bibliometrics","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Bibliometrics; Computer science; Library science; Information retrieval; Data 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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05633548,0.002512557,0.00666167,0.08698379,0.002483683,0.0067277,0.005688318,0.002517487,0.1832324],"category_scores_gemma":[0.3555012,0.001395982,0.002707741,0.1478774,0.002155506,0.006576157,0.004980513,0.00267942,0.05331603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003996664,"about_ca_system_score_gemma":0.024981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694192,"about_ca_topic_score_gemma":0.004922758,"domain_scores_codex":[0.8877664,0.04012712,0.03706634,0.003771344,0.03004526,0.001223661],"domain_scores_gemma":[0.7380427,0.1124219,0.02635059,0.03182306,0.08879232,0.002569496],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001059742,0.0005341299,0.00475592,0.1766618,0.001428927,0.0002179029,0.001248019,0.0008262209,0.001018035,0.01249985,0.418511,0.3812383],"study_design_scores_gemma":[0.001163666,0.0007901643,0.02742843,0.05549854,0.003582837,0.0004777924,0.002107902,0.001824142,0.00239768,0.02167575,0.8827394,0.0003137576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01127116,0.04171624,0.05010611,0.0161483,0.01763802,0.106987,0.6352999,0.0043636,0.1164697],"genre_scores_gemma":[0.1122823,0.05980639,0.1200911,0.007044251,0.009583425,0.4390768,0.1466282,0.005630587,0.09985687],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9436646,"threshold_uncertainty_score":0.6129733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3444904344243169,"score_gpt":0.5986771288777591,"score_spread":0.2541866944534422,"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."}}