{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291266,0.001111491,0.0006246408,0.001044219,0.0006050971,0.0006595543,0.001373647,0.0012046,0.002299042],"category_scores_gemma":[0.0005798054,0.0005316794,0.0006245917,0.0003519246,0.001109827,0.001063693,0.0007889742,0.001533406,0.0007908254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006246483,"about_ca_system_score_gemma":0.0008359115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069425,"about_ca_topic_score_gemma":0.001998512,"domain_scores_codex":[0.9993615,0.0001130286,0.00007289885,0.000166647,0.0001823632,0.0001035406],"domain_scores_gemma":[0.9991549,0.0001499031,0.0002066988,0.0001457076,0.000168919,0.0001739208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00054699,0.001063479,0.001632693,0.0001681401,0.00002706736,0.0002006975,0.00009230029,0.0002358635,0.9870434,0.0001726251,0.0003350478,0.008481526],"study_design_scores_gemma":[0.000532051,0.0333434,0.02922226,0.0001864894,0.0002583055,0.001370944,0.0002711362,0.006148688,0.9196083,0.0002411259,0.008741982,0.00007533619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944671,0.001946041,0.09282204,0.001099511,0.0005565138,0.003522702,0.001274463,0.0007292532,0.003582359],"genre_scores_gemma":[0.8004329,0.003377649,0.1776875,0.0005689166,0.000183205,0.007415943,0.002236579,0.0001191507,0.007978157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002299042,"threshold_uncertainty_score":0.007691085,"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."}}