{"id":"W4388713049","doi":"10.23977/acss.2023.070908","title":"A review of machine learning-based prediction of lncRNA subcellular localization","year":2023,"lang":"en","type":"review","venue":"Advances in Computer Signals and Systems","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yunnan Normal University","keywords":"Subcellular localization; Computer science; Field (mathematics); Artificial intelligence; Computational biology; Machine learning; Biology; Cell biology; Cytoplasm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008246644,0.00108006,0.00150981,0.003099442,0.0002751815,0.0008693131,0.00100241,0.0009390913,0.002887683],"category_scores_gemma":[0.001687238,0.0003983013,0.0009204925,0.003908815,0.000365722,0.001534979,0.0005133579,0.001367302,0.002069988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255079,"about_ca_system_score_gemma":0.001522508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001746813,"about_ca_topic_score_gemma":0.001801271,"domain_scores_codex":[0.9997341,0.00004316178,0.00005014285,0.00006794732,0.00008756091,0.000017022],"domain_scores_gemma":[0.9991647,0.0004752055,0.0000865038,0.00001951559,0.0002152627,0.00003883768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006714547,0.00007153408,0.0004610928,0.03125652,0.0002254848,0.000210421,0.00005722464,0.001240281,0.001920303,0.003477337,0.03737304,0.9236397],"study_design_scores_gemma":[0.00002188263,0.0001741716,0.001708491,0.007356988,0.0004858997,0.001402254,0.00005938414,0.0007126497,0.001161702,0.003500915,0.9833377,0.00007794033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001285598,0.9976314,0.0008474849,0.0003188553,0.0002476731,0.000007264212,0.00007205355,0.00002258965,0.0007241308],"genre_scores_gemma":[0.0006904754,0.997582,0.0008642379,0.0002016247,0.000210465,0.00001067036,0.0001051808,0.000004307874,0.0003310439],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003099442,"threshold_uncertainty_score":0.009660304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218143739024926,"score_gpt":0.3278104857222495,"score_spread":0.2956290483320003,"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."}}