{"id":"W4410947650","doi":"10.1101/2025.05.30.656545","title":"Spine-Prints: Transposing Brain Fingerprints to the Spinal Cord","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Health and Human Services","keywords":"Spinal cord; Fingerprint (computing); Neuroscience; Neuroimaging; Neurology; Modalities; Neuroradiology; Magnetic resonance imaging; Functional magnetic resonance imaging; Neurosurgery; SPINE (molecular biology); Identification (biology); Medicine; Psychology; Computer science; Artificial intelligence; Biology; Radiology; Bioinformatics","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":[0.0005960427,0.0003992519,0.0003409126,0.0009394428,0.0002356277,0.00083917,0.0003865313,0.0005177129,0.003302922],"category_scores_gemma":[0.002780908,0.0001838501,0.0002838993,0.0008049047,0.0005375748,0.0006783653,0.000516623,0.0004540384,0.0005804415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731527,"about_ca_system_score_gemma":0.0002743338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279883,"about_ca_topic_score_gemma":0.00242308,"domain_scores_codex":[0.9997874,0.00004887527,0.0000127745,0.00006629904,0.000057052,0.00002759947],"domain_scores_gemma":[0.9992079,0.0002045612,0.0001699789,0.0002335931,0.0001034546,0.00008042056],"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":[0.001477384,0.0002138913,0.02402351,0.0005448616,0.0003350608,0.001047778,0.0004740804,0.01565688,0.6607001,0.00443697,0.00615629,0.2849331],"study_design_scores_gemma":[0.0001213764,0.001219507,0.3305963,0.0002012598,0.0002945375,0.004950788,0.0006372825,0.2856059,0.3309931,0.02896123,0.01621641,0.0002022696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7650713,0.000800577,0.2258029,0.0005244683,0.0002511674,0.0001042875,0.002198698,0.002053701,0.00319287],"genre_scores_gemma":[0.9129847,0.0004158273,0.08298264,0.0001043839,0.0001313186,0.00006867961,0.001221479,0.0003372437,0.001753746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003302922,"threshold_uncertainty_score":0.01104939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707211077468384,"score_gpt":0.3230365845930758,"score_spread":0.275964473818392,"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."}}