{"id":"W2020296970","doi":"10.1016/j.jneumeth.2008.02.009","title":"Semi-automated quantification of filopodial dynamics","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Filopodia; Growth cone; Lamellipodium; Dynamics (music); Live cell imaging; Neuroscience; Video microscopy; Process (computing); Biology; Biological system; Cell migration; Computer science; Motility; Cell biology; Cell; Physics; Actin; Axon","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":[0.0007794793,0.0007332307,0.0007153606,0.001510078,0.0005171746,0.001548985,0.001084889,0.0008639268,0.004604755],"category_scores_gemma":[0.001682343,0.0006260536,0.0004255577,0.0006732531,0.0003919679,0.0008270162,0.001401412,0.0008675287,0.001786593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005279014,"about_ca_system_score_gemma":0.001122008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002264214,"about_ca_topic_score_gemma":0.005823263,"domain_scores_codex":[0.9993929,0.00005661937,0.00003190899,0.00014359,0.0002965028,0.00007849681],"domain_scores_gemma":[0.9984195,0.0005044718,0.0001982277,0.0003954614,0.0004035158,0.00007891882],"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":[0.0001641104,0.00006717585,0.002288467,0.0003523481,0.00008966125,0.0000540451,0.0001169823,0.01002072,0.7446179,0.002233043,0.002150457,0.2378451],"study_design_scores_gemma":[0.00004267745,0.0001094143,0.02641009,0.00006870834,0.00006363507,0.0006767094,0.0000785341,0.5464009,0.4137469,0.00416502,0.008107362,0.0001301248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06657521,0.0002275152,0.9241723,0.0001098879,0.00003775642,0.00009128043,0.0009061053,0.006754753,0.001125099],"genre_scores_gemma":[0.2434953,0.0002830019,0.751358,0.00007131435,0.0000272525,0.0001906117,0.00128827,0.0009080405,0.002378179],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004604755,"threshold_uncertainty_score":0.01540446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154679441411032,"score_gpt":0.3824874058057628,"score_spread":0.3309406113916525,"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."}}