{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000774151,0.0007342565,0.001259394,0.001163727,0.0001765563,0.001067642,0.0009389736,0.001028095,0.002873956],"category_scores_gemma":[0.0007160822,0.0002336098,0.000461986,0.001180772,0.0004694385,0.0008739945,0.0005548412,0.002082897,0.0013697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316364,"about_ca_system_score_gemma":0.001042572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009434889,"about_ca_topic_score_gemma":0.002270348,"domain_scores_codex":[0.999835,0.00002584958,0.00001704734,0.00002990807,0.00006649394,0.00002568214],"domain_scores_gemma":[0.9996997,0.0001529579,0.00003247611,0.000009509674,0.00006635636,0.00003897728],"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":[0.0001258878,0.00007042167,0.0001156755,0.009819495,0.00008971158,0.0001908827,0.00002448626,0.0005075096,0.004126026,0.004083368,0.0399603,0.9408861],"study_design_scores_gemma":[0.00004144393,0.0001118368,0.0005195258,0.002090603,0.000194133,0.001023511,0.00003377417,0.0002231605,0.001798816,0.002409802,0.9915268,0.00002657123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001499488,0.9974295,0.0006104037,0.0004557195,0.0002702867,0.000005240484,0.00003085619,0.00002724886,0.001020705],"genre_scores_gemma":[0.0009822771,0.9971475,0.0005065294,0.0003584872,0.0001388334,0.000007927953,0.00005221408,0.000003953897,0.0008022893],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002873956,"threshold_uncertainty_score":0.009614348,"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."}}