{"id":"W1484143128","doi":"10.3171/2012.3.spine11970","title":"Development of a large-animal model to measure dynamic cerebrospinal fluid pressure during spinal cord injury","year":2012,"lang":"en","type":"article","venue":"Journal of Neurosurgery Spine","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; Vancouver Spine Surgery Institute; Spinal Cord Injury BC; University of British Columbia","funders":"","keywords":"Medicine; Spinal cord injury; Spinal cord; Cerebrospinal fluid; Anesthesia; Paraplegia; Cerebrospinal fluid pressure; Animal model; Intracranial pressure; Anatomy; Glasgow Coma Scale; Pathology; Internal medicine","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"],"consensus_categories":[],"category_scores_codex":[0.001663256,0.0003698335,0.001013469,0.001090449,0.0001535392,0.00002925902,0.0003473123,0.0001458195,0.00014103],"category_scores_gemma":[0.0007386097,0.0003184582,0.0003838158,0.0008673501,0.00006632591,0.0004586144,0.0002520549,0.000890694,0.00002603393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050257,"about_ca_system_score_gemma":0.0007887427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001510626,"about_ca_topic_score_gemma":0.000001411702,"domain_scores_codex":[0.995204,0.0001013895,0.001597318,0.0003021529,0.001828596,0.0009665537],"domain_scores_gemma":[0.9969769,0.00002273993,0.0006638014,0.0004338049,0.0009729909,0.0009297706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.04200086,0.0008695535,0.01752822,0.0005932604,0.000202022,0.0001376685,0.00008929755,0.00004963446,0.9333497,0.00001981146,0.0008397613,0.004320195],"study_design_scores_gemma":[0.002126757,0.01383783,0.8289907,0.001331525,0.0002788088,0.002375162,0.00009502984,0.001180524,0.1398473,0.000005406968,0.009453122,0.0004778508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955981,0.0009874791,0.001607542,0.0007233764,0.0005307989,0.0004014549,0.00002105877,0.0000283746,0.0001018231],"genre_scores_gemma":[0.986782,0.00004792535,0.011753,0.0003163225,0.0004176302,0.0000115241,0.000002678269,0.00007919055,0.0005897741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8114625,"threshold_uncertainty_score":0.9999267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06282251655041579,"score_gpt":0.3767477039893381,"score_spread":0.3139251874389223,"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."}}