{"id":"W2553317357","doi":"10.3934/dcdss.2015.8.953","title":"Numerical algorithm for tracking cell dynamics in 4D biomedical images","year":2015,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - S","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Eikonal equation; Tracking (education); Backtracking; Parallelizable manifold; Algorithm; Discretization; Computer vision; Computer science; Fast marching method; Tree (set theory); Precomputation; Artificial intelligence; Gradient descent; Mathematics; Computation; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096463,0.0004167153,0.0004741134,0.0006140867,0.0004595969,0.0006521875,0.001311474,0.001120999,0.00296499],"category_scores_gemma":[0.001652478,0.0003393911,0.0005358053,0.0006580392,0.0005257948,0.0006020192,0.0009602706,0.0008023232,0.001231146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006798876,"about_ca_system_score_gemma":0.00115298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002877555,"about_ca_topic_score_gemma":0.002352271,"domain_scores_codex":[0.9997326,0.0000488126,0.00002029111,0.00004072591,0.0001440452,0.00001354506],"domain_scores_gemma":[0.9995937,0.0001574059,0.00004516017,0.00005639065,0.0001259329,0.00002145535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008298401,0.00003877608,0.0008950845,0.0002033986,0.00005026006,0.000165223,0.0002053774,0.7436448,0.03108628,0.04339344,0.002654873,0.1775795],"study_design_scores_gemma":[0.0000095625,0.00001097335,0.00007356733,0.000007834753,0.000004039537,0.00003719801,0.00000793719,0.9898974,0.001790826,0.004829081,0.003324454,0.000007164652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007867856,0.00002040849,0.9987069,0.00002731062,0.00001165637,0.00001703669,0.00001526946,0.0001304615,0.0002841688],"genre_scores_gemma":[0.02404648,0.00008330715,0.9742475,0.00003656404,0.00001094229,0.0002613858,0.00007994475,0.00005636156,0.001177544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00296499,"threshold_uncertainty_score":0.009918928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113548061711082,"score_gpt":0.2662681661653904,"score_spread":0.2551326855482796,"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."}}