{"id":"W1566813989","doi":"10.18438/b8w30v","title":"A Combination of Citation Analyses Can Reveal the Nature of a Journal’s Scholarly Communication, Its Influence in a Scientific Community, and the Geographic Location of Its Authors and Citers","year":2006,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Scientometrics; Citation analysis; Library science; Publishing; Bibliometrics; Period (music); Information science; Computer science; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0256664,0.001920116,0.003381422,0.1407465,0.002178392,0.01184525,0.001517061,0.002174327,0.005321647],"category_scores_gemma":[0.09645048,0.0008263565,0.002821455,0.1194515,0.001522953,0.01219857,0.004869783,0.001587234,0.002862787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753502,"about_ca_system_score_gemma":0.002096415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687956,"about_ca_topic_score_gemma":0.009401006,"domain_scores_codex":[0.9660993,0.01256734,0.006192739,0.00340013,0.01099689,0.0007436188],"domain_scores_gemma":[0.8367518,0.08042464,0.0352549,0.01052406,0.03463412,0.002410489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007025985,0.0004405784,0.4848427,0.004258394,0.00497601,0.0003687681,0.004098154,0.001419389,0.005827938,0.009501801,0.01589559,0.467668],"study_design_scores_gemma":[0.0001051617,0.00170645,0.8647782,0.001812525,0.003569742,0.001345508,0.007779512,0.01341654,0.006935915,0.03629392,0.06122705,0.001029458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6773936,0.05100333,0.1092432,0.006421682,0.002502666,0.002040822,0.03453558,0.002518384,0.1143408],"genre_scores_gemma":[0.8834167,0.01097708,0.08813175,0.0004241358,0.002062383,0.001591983,0.006931159,0.0003331834,0.006131655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9881548,"threshold_uncertainty_score":0.1357386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579404506394091,"score_gpt":0.2923464424089827,"score_spread":0.2665523973450418,"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."}}