{"id":"W4205637814","doi":"10.23952/jnva.5.2021.3.05","title":"Low patch-rank image decomposition using alternating minimization algorithms","year":2021,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Minification; Rank (graph theory); Image (mathematics); Algorithm; Decomposition; Computer science; Mathematics; Artificial intelligence; Mathematical optimization; Combinatorics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501372,0.00008149039,0.0002215887,0.0003120688,0.0001004785,0.0002082526,0.0001662678,0.00004020442,0.00008898067],"category_scores_gemma":[0.0001696515,0.00007379957,0.0001583788,0.0008598024,0.00001882666,0.0007710654,0.00006640671,0.000113647,0.000001148752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004946518,"about_ca_system_score_gemma":0.0001310823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000204597,"about_ca_topic_score_gemma":0.000003222272,"domain_scores_codex":[0.9985963,0.0001299631,0.0005237488,0.0001593083,0.000496887,0.00009381902],"domain_scores_gemma":[0.9983574,0.0001417489,0.0004613186,0.0001093094,0.0008325888,0.00009767176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001103843,0.003091319,0.03147188,0.0002482352,0.01033167,0.001524324,0.004404831,0.0777202,0.4402115,0.005379236,0.0009227005,0.4245837],"study_design_scores_gemma":[0.0002977852,0.0000289218,0.003827799,0.00002542147,0.0002876657,0.0001013224,0.00002758548,0.9707903,0.02382735,0.0006880389,0.00001498929,0.00008284894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02273391,0.00006860351,0.9764131,0.0006222378,0.00009252824,0.00002350657,0.000007385368,0.00001388187,0.00002480053],"genre_scores_gemma":[0.03457764,0.00008145507,0.9647052,0.0003304235,0.0002473741,5.169226e-7,0.00003495465,0.000004207139,0.000018198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.89307,"threshold_uncertainty_score":0.3009459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532502798407025,"score_gpt":0.3223679935297706,"score_spread":0.3070429655457003,"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."}}