{"id":"W1991389998","doi":"10.1091/mbc.e08-06-0603","title":"Microtubule-mediated Src Tyrosine Kinase Trafficking in Neuronal Growth Cones","year":2008,"lang":"en","type":"article","venue":"Molecular Biology of the Cell","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Yale University; National Institutes of Health; McGill University; Purdue University; Howard Hughes Medical Institute","keywords":"Filopodia; Growth cone; Cell biology; Biology; Proto-oncogene tyrosine-protein kinase Src; Nocodazole; Microtubule; Endocytic cycle; Endosome; Tyrosine kinase; Lamellipodium; Kinase; Cytoskeleton; Endocytosis; Signal transduction; Biochemistry; Axon; Actin; Cell; Intracellular","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007322313,0.0001878255,0.0001521991,0.0001392263,0.0002364368,0.0002747311,0.0001432474,0.0001921189,0.0003303451],"category_scores_gemma":[0.00008561803,0.0001160708,0.0001046197,0.00009528935,0.000151801,0.0001949083,0.0001668,0.0002700316,0.0002041371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005207475,"about_ca_system_score_gemma":0.0002001779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765507,"about_ca_topic_score_gemma":0.003024562,"domain_scores_codex":[0.999933,0.000006408568,0.000003779704,0.00001468526,0.00002834424,0.00001370077],"domain_scores_gemma":[0.9999601,0.000004319046,0.000009958481,0.000004895166,0.00001064569,0.00001014241],"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":[0.00004841989,0.000004773688,0.000145845,0.00001460201,0.000001364612,0.00004685361,0.000007068725,0.00009131925,0.9986433,0.000169735,0.00002240518,0.0008042622],"study_design_scores_gemma":[0.00003620891,0.0001286656,0.01955627,0.00001201667,0.00001171845,0.0005838951,0.00004853423,0.006112189,0.9707454,0.000383175,0.002371002,0.00001090268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951775,0.001617207,0.001788808,0.00004806574,0.000009208473,0.000007779622,0.0001251843,0.00003804359,0.001188147],"genre_scores_gemma":[0.9948855,0.001067657,0.00160162,0.00001972761,0.0000053318,0.0000134814,0.0002121194,0.000009625462,0.002185018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001765507,"threshold_uncertainty_score":0.003778338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007512858586043233,"score_gpt":0.2162592754836557,"score_spread":0.2087464168976124,"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."}}