{"id":"W2114412364","doi":"10.1503/cmaj.060361","title":"A bibliometric analysis by geographic area of published research in several biomedical fields, 1995-2003","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Bibliometrics; Epidemiology; Impact factor; MEDLINE; Productivity; Population; Public health; Medicine; Library science; Demography; Environmental health; Political science; Economic growth; Computer science; Pathology; Sociology; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00522718,0.0004412447,0.001243645,0.09711546,0.0008201551,0.002730254,0.0008429002,0.0003580656,0.001557821],"category_scores_gemma":[0.02645567,0.0002196667,0.001659092,0.1782001,0.0004610491,0.001481236,0.001382963,0.0002959486,0.0004349842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003310947,"about_ca_system_score_gemma":0.002765854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04470604,"about_ca_topic_score_gemma":0.04140147,"domain_scores_codex":[0.9924806,0.0008989213,0.002144728,0.0006449167,0.003464211,0.0003665312],"domain_scores_gemma":[0.9630061,0.01098087,0.01478544,0.001146928,0.009236383,0.0008442681],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002951696,0.00004642073,0.9404455,0.002018454,0.001798203,0.0002809116,0.0009925852,0.001236837,0.0008608172,0.0007474723,0.006742634,0.04453489],"study_design_scores_gemma":[0.0000124906,0.00003554007,0.9925914,0.00009564938,0.0002729422,0.0002023297,0.0005550833,0.0005151708,0.0002078301,0.00012064,0.005376265,0.00001464678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887372,0.01747844,0.0007472552,0.0008968833,0.00006924911,0.0001612564,0.08154986,0.0002470954,0.01147785],"genre_scores_gemma":[0.9555627,0.007567042,0.001271268,0.00008774021,0.0001706362,0.0001934707,0.0340944,0.00004124996,0.001011371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9947728,"threshold_uncertainty_score":0.08889169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705070448850644,"score_gpt":0.4684786020447392,"score_spread":0.2979715571596748,"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."}}