{"id":"W2998856276","doi":"10.1016/j.wneu.2020.01.027","title":"Glioblastome Multiforme: A Bibliometric Analysis","year":2020,"lang":"en","type":"review","venue":"World Neurosurgery","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Goldhirsh Foundation","keywords":"Medicine; Scopus; Glioblastoma; Bibliometrics; Library science; Citation; Interquartile range; Citation analysis; MEDLINE; Glioma; Family medicine; Internal medicine; Political science; Cancer research","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0002035716,0.0007843141,0.00509404,0.2464322,0.0000902142,0.0001276024,0.0002007063,0.0001893673,0.0005783271],"category_scores_gemma":[0.0004439775,0.000579583,0.004236765,0.4898202,0.00005775111,0.0000711231,0.0001527959,0.000589716,0.001190042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931949,"about_ca_system_score_gemma":0.0003496904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015904,"about_ca_topic_score_gemma":0.00001478126,"domain_scores_codex":[0.9962829,0.0001573868,0.001214454,0.001037783,0.000720757,0.0005866647],"domain_scores_gemma":[0.9965836,0.001194383,0.000605415,0.0008884901,0.00008557854,0.000642528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000185338,0.0004932999,0.003296002,0.005301219,0.003532117,0.004703035,0.000003937869,8.331505e-7,9.53834e-7,0.00001160954,0.01158039,0.9710581],"study_design_scores_gemma":[0.0003193074,0.00008106294,0.002847454,0.00238846,0.02607702,0.0001891142,5.754924e-7,0.00001649587,0.000005571635,0.000001046712,0.9676887,0.000385133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00011245,0.9969061,0.000003024637,0.0003473299,0.0004953554,0.0009202699,0.0001392668,0.0002218911,0.0008542849],"genre_scores_gemma":[0.0006741143,0.9966438,0.00007282682,0.0005439587,0.0003278949,0.0003433127,0.0003194112,0.0001403298,0.0009343061],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.970673,"threshold_uncertainty_score":0.9996656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331268819490665,"score_gpt":0.3455101385934141,"score_spread":0.2821974503985075,"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."}}