{"id":"W2594567835","doi":"10.1002/adhm.201601130","title":"Combinatorial Therapies After Spinal Cord Injury: How Can Biomaterials Help?","year":2017,"lang":"en","type":"review","venue":"Advanced Healthcare Materials","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Spinal cord injury; Regeneration (biology); Neuroscience; Spinal cord; Medicine; Endogeny; Lesion; Stem cell; Bioinformatics; Biology; Cell biology; Pathology; Internal 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006609321,0.001066874,0.003273629,0.0002936777,0.0008770057,0.001030677,0.001062689,0.0008039802,0.0001601599],"category_scores_gemma":[0.0004265179,0.0008272994,0.0003831903,0.0002004994,0.0003539672,0.0005227728,0.0003008421,0.0002320882,0.0001557922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785348,"about_ca_system_score_gemma":0.0005696064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015067,"about_ca_topic_score_gemma":0.00003575664,"domain_scores_codex":[0.9937814,0.001942386,0.001315555,0.001429571,0.0005531263,0.0009779215],"domain_scores_gemma":[0.9958435,0.0001225043,0.002024913,0.001567781,0.000151301,0.0002900158],"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":[0.001775108,0.00006264893,3.062081e-7,0.01816609,0.0000354611,0.00011705,0.00003203877,1.391558e-8,0.1348292,0.00599566,0.0001493783,0.838837],"study_design_scores_gemma":[0.0003002257,0.001512025,0.000001946096,0.007058457,0.0001025848,0.00006097355,0.0000062331,1.322543e-8,0.2131341,0.001659047,0.7754025,0.0007618695],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01186695,0.9445804,0.00000386044,0.001549696,0.03344067,0.003371954,0.004839267,0.0003164623,0.00003071175],"genre_scores_gemma":[0.05578823,0.9382135,0.0001022696,0.0003816994,0.003206404,0.001453998,0.0002716106,0.0001983683,0.0003839796],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8380752,"threshold_uncertainty_score":0.9994178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421057000560187,"score_gpt":0.4338564096126871,"score_spread":0.2917507095566683,"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."}}