{"id":"W1605328799","doi":"10.1523/jneurosci.23-13-05425.2003","title":"Proteolytic Processing of the p75 Neurotrophin Receptor and Two Homologs Generates C-Terminal Fragments with Signaling Capability","year":2003,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Genentech; York University; Regeneron Pharmaceuticals; National Institutes of Health; Harvard University","keywords":"Terminal (telecommunication); Cell biology; Neurotrophin; Neuroscience; Receptor; Low-affinity nerve growth factor receptor; Biology; Genetics; Computer science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0005206283,0.0001367288,0.0001866005,0.00007796995,0.0003714377,0.0001031274,0.0003553797,0.00002783089,0.000004553864],"category_scores_gemma":[0.0008621532,0.00007571627,0.0000526209,0.0005084921,0.0006874679,0.0005092026,0.00004404194,0.0002901116,3.052434e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002186937,"about_ca_system_score_gemma":0.0002200815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001992836,"about_ca_topic_score_gemma":6.538278e-7,"domain_scores_codex":[0.9981002,0.0004325872,0.0004178727,0.0002969689,0.0005400529,0.0002122958],"domain_scores_gemma":[0.9988799,0.00008015721,0.000643389,0.0001737987,0.0001324054,0.00009034826],"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":[0.00004443385,0.00008534086,0.002972066,0.00002687478,4.404611e-7,0.00001908827,0.00009905466,0.001255837,0.9949055,0.000106881,0.000006111274,0.0004783628],"study_design_scores_gemma":[0.0003615234,0.0005565279,0.003176166,0.00008378154,0.00001051897,0.001192849,0.00001539454,0.00110968,0.9930953,0.0002071197,0.00009827147,0.00009287171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983017,0.00006525733,0.0005939429,0.0002625244,0.0005040574,0.0002295412,0.00000205992,0.000005723879,0.00003512773],"genre_scores_gemma":[0.998462,0.00001593466,0.001008333,0.0003719891,0.00005944866,0.000003814837,1.979566e-8,0.000009218008,0.00006920579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001810214,"threshold_uncertainty_score":0.308762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979180154735466,"score_gpt":0.2736698444270962,"score_spread":0.2438780428797415,"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."}}