{"id":"W2799579821","doi":"10.1016/j.actbio.2018.05.002","title":"Compressive mechanical characterization of non-human primate spinal cord white matter","year":2018,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; Simon Fraser University","funders":"","keywords":"Materials science; White matter; Spinal cord; Primate; Biomedical engineering; Compressive strength; Composite material; Magnetic resonance imaging; Medicine; Neuroscience; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000190108,0.0001867847,0.0004013275,0.0001702764,0.00009198351,0.00005397102,0.0002249622,0.0001358055,0.00418619],"category_scores_gemma":[0.00001849685,0.0001587579,0.00006842756,0.0002075058,0.0002335191,0.0001534027,0.0001908211,0.00007039435,0.0006099858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005202403,"about_ca_system_score_gemma":0.00005036864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004737754,"about_ca_topic_score_gemma":0.000001658539,"domain_scores_codex":[0.9984514,0.00006336419,0.0004453794,0.0003211976,0.0003747946,0.0003438257],"domain_scores_gemma":[0.9988124,0.00000412498,0.0002181257,0.0004857196,0.0003381231,0.0001414547],"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":[0.00670181,0.0001153895,0.006147445,0.0002146586,0.00004773203,0.00001623516,0.00002896454,3.512821e-10,0.984616,0.00004088148,0.001819507,0.0002513691],"study_design_scores_gemma":[0.0006679042,0.005250287,0.3554834,0.0001840714,0.00004085821,0.00004292138,0.000007680459,0.00002045369,0.6369942,0.00002008358,0.001180473,0.000107632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969248,0.000001445805,0.0001816832,0.0006891504,0.0008799473,0.0004803526,0.00006793636,0.00005267654,0.000721977],"genre_scores_gemma":[0.9975249,0.000002476858,0.0005359807,0.0002888296,0.0006114652,0.00002414302,0.0002420596,0.00004079817,0.0007293535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3493359,"threshold_uncertainty_score":0.9967241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844994765095839,"score_gpt":0.4036037029048162,"score_spread":0.3651537552538578,"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."}}