{"id":"W4401929046","doi":"10.1016/j.jneumeth.2024.110273","title":"NeuroQuantify – An image analysis software for detection and quantification of neuron cells and neurite lengths using deep learning","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Max-Planck-Gesellschaft; University of Toronto","keywords":"Neurite; Neuroscience; Neuron; Segmentation; Extracellular; Computer science; Biology; Artificial intelligence; Cell biology; In vitro","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009678837,0.00106449,0.0005701733,0.001523974,0.0003607726,0.001105862,0.001837242,0.0008467109,0.01539449],"category_scores_gemma":[0.001816346,0.0007452009,0.00103723,0.0007508419,0.0004253449,0.001162321,0.001056524,0.001411823,0.005686597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008517741,"about_ca_system_score_gemma":0.001408487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003120209,"about_ca_topic_score_gemma":0.005607502,"domain_scores_codex":[0.9995479,0.00004191113,0.00004608242,0.00009726849,0.0002305035,0.00003630266],"domain_scores_gemma":[0.9993759,0.0002101898,0.00009868334,0.00007572067,0.0002049972,0.00003452597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005950594,0.0001903183,0.003487133,0.001764389,0.0005523314,0.0004605383,0.0003950603,0.0697196,0.1549728,0.01588073,0.2203914,0.5315906],"study_design_scores_gemma":[0.00009650493,0.0001438619,0.005102196,0.0001738214,0.0001104754,0.0008103132,0.00006382651,0.6898201,0.1834898,0.01609726,0.1038894,0.0002023873],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01237596,0.0006725992,0.8615062,0.0002824775,0.0001144781,0.0001957034,0.008834213,0.1110464,0.00497213],"genre_scores_gemma":[0.06875452,0.0009383348,0.8858009,0.0004584998,0.0000423312,0.001157122,0.01657171,0.01688698,0.009389699],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01539449,"threshold_uncertainty_score":0.05149966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03680514169706234,"score_gpt":0.4014022895707731,"score_spread":0.3645971478737108,"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."}}