{"id":"W4308219661","doi":"10.1016/j.jocn.2022.10.028","title":"Neurosurgical research in Southeast Asia: A bibliometric analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Neuroscience","topic":"Global Health and Surgery","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Per capita; Bibliometrics; Productivity; Medicine; Index (typography); Gross domestic product; Population; Science Citation Index; Demography; Citation; Geography; Library science; Economic growth; Economics; Environmental health","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005322013,0.000425697,0.001650042,0.0882073,0.001628383,0.003414031,0.0007982586,0.0004958721,0.003004376],"category_scores_gemma":[0.02917621,0.0002480025,0.001964548,0.1564299,0.0006676462,0.001880508,0.002224689,0.0003640868,0.0004508797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377882,"about_ca_system_score_gemma":0.005656263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02994614,"about_ca_topic_score_gemma":0.04472766,"domain_scores_codex":[0.9915528,0.001542116,0.003350282,0.000663998,0.002393043,0.0004977226],"domain_scores_gemma":[0.9581051,0.01961682,0.009528814,0.001379409,0.0101147,0.001255134],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007911473,0.00004821919,0.9757645,0.001614166,0.001263518,0.0001763263,0.001120512,0.0001489079,0.0001674193,0.0003066699,0.00128368,0.01802701],"study_design_scores_gemma":[0.000009531429,0.00004743957,0.9895975,0.0005508382,0.001164385,0.000365847,0.004326206,0.0003886246,0.0000965924,0.0001979532,0.003239184,0.00001591728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940107,0.0221912,0.0006646129,0.0009515831,0.00005784974,0.0001722633,0.02729398,0.00006400781,0.008497427],"genre_scores_gemma":[0.9848859,0.007013738,0.0007661002,0.00008423113,0.00005991326,0.00008488302,0.006752952,0.00001462797,0.0003377259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.994678,"threshold_uncertainty_score":0.05954367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3377150493150836,"score_gpt":0.5517383100411154,"score_spread":0.2140232607260318,"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."}}