{"id":"W2037200077","doi":"10.1038/nmeth.3125","title":"Neuronal morphometry directly from bitmap images","year":2014,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":783,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Bitmap; Artificial intelligence; Computer science; Computer graphics (images); Biology; Computational biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009759045810074932,"score_gpt":0.3401319994007074,"score_spread":0.3303729535906325,"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."}}