{"id":"W4223652554","doi":"10.3390/cancers14071830","title":"Liquid–Liquid Phase Separation in Cancer Signaling, Metabolism and Anticancer Therapy","year":2022,"lang":"en","type":"review","venue":"Cancers","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"Epigenetics; Cancer cell; Mutant; Cancer; RNA; Biology; Gene; Gene expression; Cancer research; Computational biology; Cell biology; Chemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002883385,0.0002900423,0.0006640286,0.0001303178,0.00009538385,0.00003278025,0.0002287416,0.0001877537,0.0005189919],"category_scores_gemma":[0.00003654389,0.0002557081,0.0001704627,0.0002389347,0.00008514115,0.000006803444,0.00009809688,0.0003086743,0.000001679175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003913521,"about_ca_system_score_gemma":0.001823007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006237712,"about_ca_topic_score_gemma":0.0001899537,"domain_scores_codex":[0.9983646,0.0001845726,0.0003209409,0.0005590042,0.0002001864,0.000370754],"domain_scores_gemma":[0.999381,0.00002258432,0.0001543468,0.0002881229,0.000034476,0.0001194404],"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":[0.0007186565,0.00003280958,0.000001550759,0.001287465,0.0002838121,0.00001734495,0.00008569645,0.0001064983,0.03325868,0.00002028694,0.001771729,0.9624155],"study_design_scores_gemma":[0.0007709301,0.0005260938,3.063997e-7,0.0003619617,0.00005113547,0.000004077422,0.00002438508,0.00002564762,0.002339892,0.000001185103,0.9956104,0.0002840527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03531366,0.9635021,0.00001804525,0.0000176655,0.0002182802,0.0005817422,0.0001200455,0.000007637921,0.0002208173],"genre_scores_gemma":[0.0009095794,0.9966114,0.00001599141,0.0001848392,0.0004085846,0.0008145911,0.0002329812,0.000052424,0.0007696109],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9938386,"threshold_uncertainty_score":0.9999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06280054454092159,"score_gpt":0.4268275693226017,"score_spread":0.3640270247816801,"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."}}