{"id":"W7131861923","doi":"10.5376/cge.2024.12.0028","title":"Gene Editing Approaches in Ovarian Cancer Current Research and Future Applications","year":2024,"lang":"","type":"article","venue":"Cancer Genetics and Epigenetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genome editing; Ovarian cancer; Current (fluid); Gene; Genetic enhancement","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":[0.001247161,0.000246885,0.0003929574,0.0003920336,0.000233987,0.001226062,0.0005071976,0.0007286182,0.003390971],"category_scores_gemma":[0.0005090687,0.0001428922,0.0003710737,0.0003700732,0.0007320205,0.0006587653,0.0003944378,0.001086163,0.0004606246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000617283,"about_ca_system_score_gemma":0.0007167087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008471592,"about_ca_topic_score_gemma":0.001569172,"domain_scores_codex":[0.9997914,0.00004580845,0.00001503475,0.00004242161,0.00005267957,0.00005267505],"domain_scores_gemma":[0.9997157,0.0001327252,0.00003555632,0.00002286577,0.00004851638,0.00004465567],"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":[0.0008483946,0.0003501718,0.002086803,0.002823447,0.0001214209,0.0008320835,0.0003623129,0.00169143,0.2761429,0.05074363,0.01496228,0.6490353],"study_design_scores_gemma":[0.0002967704,0.001481889,0.006370792,0.0009517344,0.0003092874,0.003665662,0.0006633091,0.003007753,0.1532919,0.0284981,0.8013824,0.00008040846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07114282,0.8452827,0.03503752,0.02172421,0.001368701,0.0001177824,0.0003362382,0.0004902371,0.02449983],"genre_scores_gemma":[0.3750399,0.5880903,0.02001527,0.003631407,0.001192509,0.0001280312,0.0004111528,0.00007510835,0.01141636],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003390971,"threshold_uncertainty_score":0.0113439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06142971170102045,"score_gpt":0.3939063531362535,"score_spread":0.332476641435233,"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."}}