{"id":"W2588421265","doi":"10.21037/sci.2017.02.05","title":"Schwann cells: an emerging player in tissue regeneration","year":2017,"lang":"en","type":"letter","venue":"Stem Cell Investigation","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Regeneration (biology); Biology; Anatomy; Cell 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138086,0.0004751603,0.0006208559,0.0003831141,0.001081516,0.002450336,0.001230192,0.01167767,0.002410114],"category_scores_gemma":[0.003433394,0.0001929692,0.0002898418,0.0003675407,0.003919667,0.003211755,0.001219485,0.01370772,0.002297873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153804,"about_ca_system_score_gemma":0.001388217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004130762,"about_ca_topic_score_gemma":0.0007590624,"domain_scores_codex":[0.999032,0.0001995273,0.00008577963,0.0001609307,0.0004042303,0.0001175916],"domain_scores_gemma":[0.9972843,0.001652943,0.000217072,0.00008834891,0.0003477712,0.0004095667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002532599,0.00006541162,0.00151943,0.00116102,0.00002475293,0.02556794,0.0007514025,0.0002387908,0.00552094,0.05057555,0.6899771,0.2243444],"study_design_scores_gemma":[0.00004199039,0.0001024065,0.0006050501,0.000476285,0.00001589503,0.01701012,0.0004561317,0.000228584,0.0009414201,0.02923453,0.9508647,0.00002294776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002923451,0.1386605,0.001366384,0.8089312,0.04137838,0.00001823873,0.00004792822,0.0001208365,0.006553092],"genre_scores_gemma":[0.04668174,0.1733751,0.001610191,0.4327631,0.334301,0.00005576185,0.00005313754,0.00004294645,0.01111693],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01167767,"threshold_uncertainty_score":0.0111593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07533382177761569,"score_gpt":0.2931218151878087,"score_spread":0.217787993410193,"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."}}