{"id":"W3009940926","doi":"10.1016/j.expneurol.2020.113273","title":"Refining rodent models of spinal cord injury","year":2020,"lang":"en","type":"review","venue":"Experimental Neurology","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; University of British Columbia; Royal Society for the Prevention of Cruelty to Animals","keywords":"Spinal cord injury; Animal model; Spinal cord; Animal welfare; Rodent model; Medicine; Physical medicine and rehabilitation; Psychology; Computer science; Neuroscience; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004997387,0.0003641493,0.001018044,0.00007263132,0.00005169788,0.000009490053,0.0003062426,0.0002809617,0.00006006085],"category_scores_gemma":[0.00002526498,0.0003451121,0.0003867,0.00006925703,0.0001464643,0.000003872148,0.0006049683,0.0003115505,0.00005625324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001739528,"about_ca_system_score_gemma":0.00006764106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000012346,"about_ca_topic_score_gemma":0.000003256699,"domain_scores_codex":[0.9982869,0.0001745287,0.0005594968,0.0006255013,0.0001233969,0.0002302013],"domain_scores_gemma":[0.9991903,0.00001395408,0.0003693363,0.0003192366,0.0000357383,0.00007143305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00844337,0.0009014297,0.00001436473,0.003838987,0.002108808,0.0002881844,0.0001930594,0.00001269228,0.2008957,0.001627555,0.02573286,0.755943],"study_design_scores_gemma":[0.0001158936,0.006550986,7.954666e-7,0.0001584579,0.00005192407,0.0001167842,0.00001793875,0.000002925479,0.009958904,0.000003454739,0.9827928,0.0002291423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001526423,0.9957925,0.00002141035,0.00002660356,0.0005315845,0.0001799597,0.00004212273,0.00001734723,0.001862024],"genre_scores_gemma":[0.02329004,0.9752774,0.0001130841,0.0004474978,0.0003895146,0.0001224036,0.00008758078,0.00007137412,0.0002010916],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9570599,"threshold_uncertainty_score":0.9999001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08666196735144939,"score_gpt":0.4409374888142593,"score_spread":0.3542755214628099,"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."}}