{"id":"W4319442778","doi":"10.1016/j.bcp.2023.115449","title":"CRISPR/Cas genome editing in triple negative breast cancer: Current situation and future directions","year":2023,"lang":"en","type":"review","venue":"Biochemical Pharmacology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Sichuan University","keywords":"CRISPR; Genome editing; Triple-negative breast cancer; Computational biology; Breast cancer; Biology; Gene; Cas9; Suppressor; Cancer; Cancer research; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001512332,0.0003479563,0.0006153085,0.0001598326,0.00006475042,0.00001534733,0.0001635996,0.000419501,0.00004274929],"category_scores_gemma":[0.00003116392,0.0003398339,0.0001679,0.0003267518,0.00007268463,0.000003159556,0.0002139421,0.000427826,0.00001019445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000098128,"about_ca_system_score_gemma":0.0001298518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002825759,"about_ca_topic_score_gemma":0.00001220319,"domain_scores_codex":[0.9984086,0.00009575066,0.0004146049,0.00059739,0.00008782963,0.0003957855],"domain_scores_gemma":[0.9994945,0.00004259779,0.0001406614,0.0001382957,0.00005456395,0.0001293889],"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":[0.00004091648,0.0001492538,0.00001059103,0.006871132,0.0004207663,0.00001374637,0.000145105,0.00001691149,0.04350049,0.000006919556,0.04124217,0.907582],"study_design_scores_gemma":[0.0004467892,0.00002553525,0.0001133959,0.0003904703,0.0003414452,0.00004724223,0.00002723252,0.0000296997,0.002858646,0.000007719004,0.9953435,0.0003683252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009484231,0.9957383,0.00007345354,0.0001647336,0.002067873,0.0005868186,0.0003684236,0.00003549267,0.00001649575],"genre_scores_gemma":[0.0004011045,0.9926733,0.00003949316,0.00003433372,0.005855532,0.0004157861,0.000478346,0.00005766164,0.00004448583],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9541013,"threshold_uncertainty_score":0.9999053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446667993235144,"score_gpt":0.4018602858354646,"score_spread":0.3773936059031132,"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."}}