{"id":"W4401345950","doi":"10.3389/fneur.2024.1442145","title":"Tracing the evolving dynamics and research hotspots of spinal cord injury and surgical decompression from 1975 to 2024: a bibliometric analysis","year":2024,"lang":"en","type":"review","venue":"Frontiers in Neurology","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spinal cord injury; Tracing; Medicine; Decompression; Surgical decompression; Spinal cord; Physical medicine and rehabilitation; Surgery; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","research_integrity"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.002409738,0.0003987217,0.002630575,0.1065969,0.0001105736,0.00009333802,0.0005057876,0.0005697957,0.00006616295],"category_scores_gemma":[0.001016598,0.0002658218,0.0003431978,0.1235135,0.0005174415,0.00006682137,0.001013539,0.003249278,0.000008145744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417027,"about_ca_system_score_gemma":0.0002873154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004335009,"about_ca_topic_score_gemma":0.00007648628,"domain_scores_codex":[0.9949588,0.00136555,0.0009208429,0.001129133,0.0009189936,0.0007067017],"domain_scores_gemma":[0.9974329,0.001132478,0.0001682369,0.0007356422,0.0002151975,0.0003154948],"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":[0.005160624,0.00005779779,0.01135445,0.004086571,0.0006419299,0.0008437914,0.00001765054,6.31406e-7,0.000001850503,0.00001240369,0.00571679,0.9721055],"study_design_scores_gemma":[0.001944403,0.04544408,0.1366652,0.0196574,0.01682885,0.001306634,0.0002586886,0.02688532,0.000004280718,0.0008250428,0.748863,0.001317053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.09084027,0.9065276,0.0001800399,0.000369607,0.000637272,0.001155482,0.0001060094,0.00001787888,0.0001658218],"genre_scores_gemma":[0.01403661,0.9844046,0.000795983,0.00005123561,0.0001849233,0.000114179,0.00004026172,0.00006572827,0.0003065286],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9707885,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09328122166089482,"score_gpt":0.475684452773737,"score_spread":0.3824032311128422,"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."}}