{"id":"W4299417984","doi":"","title":"High-speed video analysis improves the accuracy of spinal cord compression measurement in a mouse contusion model","year":2018,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Compression (physics); Spinal cord compression; Spinal cord; Spinal trauma; Computer science; Spinal cord injury; Medicine; Neuroscience; Psychology; Materials science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00118358,0.0004792109,0.001260156,0.001319503,0.0000743126,0.00003890589,0.0005975409,0.0003939723,0.001522808],"category_scores_gemma":[0.0008821893,0.0003120566,0.0003514159,0.001111477,0.0003031385,0.00006770519,0.0003603726,0.0006587651,0.0001490172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470418,"about_ca_system_score_gemma":0.0004041624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002912142,"about_ca_topic_score_gemma":0.002144889,"domain_scores_codex":[0.9958273,0.0002610707,0.0005928433,0.0007087615,0.002075729,0.0005343353],"domain_scores_gemma":[0.9970325,0.00009215611,0.0006388621,0.001489275,0.0005371749,0.0002100828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04621592,0.001196823,0.002448909,0.001175818,0.00288198,0.00007702077,0.0002629898,0.0001722239,0.5103877,0.0002295629,0.4198425,0.01510858],"study_design_scores_gemma":[0.03638545,0.04992977,0.06877013,0.02293799,0.01384484,0.00005805556,0.002366069,0.2109215,0.1748836,0.0004456062,0.4141594,0.005297657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8179768,0.009544982,0.008658565,0.009784348,0.001307854,0.01360273,0.0003591206,0.0007155545,0.13805],"genre_scores_gemma":[0.7193411,0.0005111658,0.001628514,0.0002312202,0.0004135561,0.00007647199,0.00006131943,0.0003691697,0.2773675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3355041,"threshold_uncertainty_score":0.9999331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0662319173195122,"score_gpt":0.3742404703753991,"score_spread":0.3080085530558869,"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."}}