{"id":"W2054668001","doi":"10.1016/j.neuron.2005.06.002","title":"Getting RIP’d Stunts Your Growth","year":2005,"lang":"en","type":"letter","venue":"Neuron","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Psychology; Communication; Neuroscience","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009131829,0.0003250106,0.0002487109,0.0001444844,0.000247407,0.0001401932,0.0004649651,0.000460816,0.0001399985],"category_scores_gemma":[0.0002606198,0.0002916886,0.0001342687,0.0001659228,0.00007103712,0.000223785,0.00009867073,0.001699526,0.0006043465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000450985,"about_ca_system_score_gemma":0.0000409134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009807201,"about_ca_topic_score_gemma":0.000002177664,"domain_scores_codex":[0.9975726,0.000314357,0.0003191231,0.0007932138,0.0005358237,0.0004648618],"domain_scores_gemma":[0.9991438,0.0001417717,0.0002241292,0.0004081158,0.00003304848,0.00004917683],"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":[0.000005039021,0.00001981543,0.00002213218,0.00004644329,0.000001550668,0.0004174792,0.00002929853,0.000009314138,0.1717186,0.00005512365,0.825772,0.001903089],"study_design_scores_gemma":[0.0001381607,0.00007496684,0.00009805306,0.00002568338,0.00001706725,0.00006304392,7.009245e-7,0.0001134033,0.2709965,0.00009024081,0.7280859,0.0002962907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1113959,0.00008506324,0.00003604421,0.8669126,0.005273971,0.0005487067,0.00008517769,0.0004254169,0.01523707],"genre_scores_gemma":[0.03281021,0.00005695765,0.00005651267,0.9251759,0.01641832,0.00002336602,0.00003475099,0.00009923457,0.02532474],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09927786,"threshold_uncertainty_score":0.9999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05276679759151607,"score_gpt":0.2814570570798748,"score_spread":0.2286902594883588,"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."}}