{"id":"W4379347123","doi":"10.1017/cjn.2023.222","title":"P.134 Neurosurgery research output in The Association of Southeast Asian Nations (ASEAN) region: a scientometric analysis","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurosurgery; Bibliometrics; Publication; Citation; Medicine; Productivity; Web of science; Political science; Business; Library science; MEDLINE; Economic growth; Surgery; Economics; Advertising","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"],"consensus_categories":[],"category_scores_codex":[0.008050879,0.0006475269,0.0009953139,0.05870596,0.0008367428,0.00368128,0.0005604401,0.0004160627,0.01251774],"category_scores_gemma":[0.0317105,0.0002488792,0.002471467,0.1122195,0.0007787513,0.002473825,0.001820633,0.000465623,0.002506116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136236,"about_ca_system_score_gemma":0.002600761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004661278,"about_ca_topic_score_gemma":0.003158,"domain_scores_codex":[0.9934994,0.001256962,0.001310554,0.0005076136,0.003152822,0.0002725589],"domain_scores_gemma":[0.9709738,0.01595185,0.005583905,0.0009547425,0.005984768,0.0005508863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002305728,0.000127457,0.811681,0.005830555,0.001730829,0.000527608,0.002387373,0.00170379,0.0004299204,0.003328598,0.03652394,0.1354984],"study_design_scores_gemma":[0.00002776016,0.0001636906,0.9478286,0.001334733,0.0004917958,0.0006764744,0.004547644,0.003048974,0.0002417592,0.001924403,0.0396701,0.00004409695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7396782,0.02476577,0.009154324,0.004985183,0.0006293496,0.001556224,0.1564818,0.0007963661,0.06195271],"genre_scores_gemma":[0.93388,0.01086196,0.009279628,0.0002364505,0.0005941539,0.001614372,0.0384858,0.0001500453,0.004897536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.941294,"threshold_uncertainty_score":0.04257762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3169556861810696,"score_gpt":0.4422982222236021,"score_spread":0.1253425360425325,"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."}}