{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006171297,0.001063015,0.001368128,0.002322736,0.0003582988,0.001134993,0.001032125,0.001321535,0.003839707],"category_scores_gemma":[0.0005741212,0.000356156,0.0004066343,0.002668483,0.0006854763,0.001740447,0.0009430216,0.002245219,0.003553696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008845006,"about_ca_system_score_gemma":0.0008917961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008327945,"about_ca_topic_score_gemma":0.001663538,"domain_scores_codex":[0.9998266,0.00003392265,0.00002363738,0.0000297652,0.00006403265,0.0000221584],"domain_scores_gemma":[0.9997507,0.0001125906,0.00003231162,0.000009191158,0.00006283329,0.00003237902],"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":[0.00008003625,0.00009199903,0.0001067067,0.01433199,0.0000696492,0.0002262072,0.00006054234,0.0005434796,0.002327261,0.008212091,0.06267592,0.9112742],"study_design_scores_gemma":[0.000009270532,0.00006032787,0.0002346472,0.001385583,0.00003805778,0.0006310431,0.00002537217,0.00006841946,0.000288662,0.002117203,0.9951283,0.00001310315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004661309,0.9984561,0.000109607,0.000196331,0.0002831627,0.000003439855,0.000009660707,0.000007224725,0.0008878913],"genre_scores_gemma":[0.0003709012,0.9984705,0.0001287187,0.0001577018,0.000229448,0.000006155572,0.00001980267,0.00000159858,0.0006151594],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003839707,"threshold_uncertainty_score":0.0128451,"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."}}