{"id":"W4389542601","doi":"10.1109/embc40787.2023.10339973","title":"Automatic detection of spinal injuries under dynamic compressive loading using high-speed cine-radiography","year":2023,"lang":"en","type":"article","venue":"","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radiography; Computer science; Materials science; Radiology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001082917,0.0001196857,0.0002793123,0.0006387181,0.00007700501,0.0000138646,0.00005175973,0.00008771698,0.0001099007],"category_scores_gemma":[0.00003132284,0.00009747353,0.000119133,0.0007971115,0.00008310947,0.00009183307,0.00002709892,0.0001206984,0.000007476533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005441708,"about_ca_system_score_gemma":0.00002371339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003019879,"about_ca_topic_score_gemma":0.00001010845,"domain_scores_codex":[0.999151,0.00002008179,0.0002974928,0.0001571013,0.000216505,0.0001578212],"domain_scores_gemma":[0.999476,0.00003015667,0.0001611741,0.0001736297,0.0001039776,0.0000550456],"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":[0.0002054958,0.0000637011,0.003190825,0.0003582732,0.0001707137,0.00001272659,0.0001289166,0.0001983952,0.9813786,0.001193282,0.0001574901,0.01294154],"study_design_scores_gemma":[0.0008399584,0.001091244,0.4664603,0.0005497877,0.0002150688,0.00004864699,0.0006224405,0.1438063,0.3822806,0.003787719,0.00007323685,0.0002247144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965628,0.0001050467,0.03292586,0.0002436587,0.0001186003,0.0002640293,0.000002965337,0.0005303103,0.0001815317],"genre_scores_gemma":[0.9964542,0.00003281876,0.0032229,0.0001377733,0.0000437062,0.000004748376,0.00001403701,0.00001950895,0.00007024512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.599098,"threshold_uncertainty_score":0.3974855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186354972451812,"score_gpt":0.3291173733389917,"score_spread":0.3072538236144736,"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."}}